Attention: New curriculum from fall 2021 onwards upon approval (see German site)
Information Technology and Systems Management
Algorithms and Data Structures
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1ALGIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Verbalisation and formalisation of problems, structure charts, data types and their value ranges and visibility, runtime and memory complexity of programmes, data structures (queues, stacks, lists, trees, networks, graphs), sorting algorithms, greedy algorithms, recursion.
Superior module:
Fundamentals of Computer Science
Module description:
Students are able to methodically structure problems and then derive functional and efficient algorithms. They can use and implement the essentials of procedural programming and basic IT data structures to develop individual solutions. They understand and master the basics of procedural programming and know the most important data types and structures. They know a range of applications in the programming language C and are able to understand, implement and debug algorithms using integrated development environments (IDEs); as well as estimate programming effort. They understand basic functions of modern operating systems, can conduct a technical review and distinguish operating systems in various environments. They understand the network functions of operating systems and can implement them whilst taking existing security concepts into account.
Applied Mathematics 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1AMAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 4 |
| ECTS Credits | 5 |
| Examination character | immanent |
Lecture content:
Vectors, matrices and determinants: Operations in Rn and applications; functions in a real variable: Elementary, hyperbolic function, area function and jump function; harmonic functions; superimposing of same-frequency functions.
Superior module:
Mathematical Fundamentals
Module description:
Students understand central concepts in mathematics and have developed abstract reasoning. They are proficient in elementary concepts and operations with vectors, matrices, determinants and their practical applications. They know the characteristics of the most important functions, particularly the harmonic functions, in a real variable and understand their relevance in technical fields. They understand and can apply common procedures for calculating limits of functions and can apply them in practical scenarios. They are proficient in differential and integral calculus and are able to apply Fourier and Laplace transforms to simple functions. They can calculate Taylor series for real-valued functions, determine the corresponding radius of convergence and find approximating functions.
Business and Law 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1WURVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Economics and business administration: Demarcation of economics and business administration; stroll through the history of economics and business administration; economic policy concepts and their representatives; stabilisation policy; homo oeconomicus; input factors (capital, work); corporate goals; principles of proper bookkeeping and account balancing; key figures, overview of cost accounting systems; cost recording tasks, recording costs. Basics of tax law, basics of personnel accounting; national accounts, economics (goals), indices, inflation, unemployment, functions of competition. Legal studies: General introduction and the legal procedure, basics of the constitutional and administrative law (focal point telecommunications and media law, basics of data protection law).
Superior module:
Business and Law
Module description:
Students are familiar with fundamentals of economics and business management, and professional (cost) accounting. They have basic knowledge of capital budgeting and financing; investment project evaluation; creating investment and financing plans and comparing various types of financing. They have basic legal knowledge, with emphasis on their area of specialization and are familiar with the laws relevant to their profession. They may obtain European Business Competence License (EBCL) certification.
Computer Networks 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1CNEIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Basics and terms for network technology; OSI and TCP/IP models: Communications processes, IPv4: Addressing, subnetting, basic functionality, realisation of local networks with Ethernet technology. Structure of a computer network; operating principle of important network components (hub, switch, router), sniffing and analysis of network traffic.
Superior module:
Fundamentals of Communication Technologies
Module description:
Students are familiar with various numerical systems, basic logic gates and can apply boolean algebra. They know the fundamentals and parameters of information theory and understand the operating principles of coding, compression, error detection and correction procedures. They know signal processing chain components, modulation procedures and can build basic circuits. Students are familiar with the foundations, structures and construction of computer network communication, including important network components. They are proficient in IP addressing and can configure LANs and WLANs.
English 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1ENGIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2.5 |
| Examination character | immanent |
Lecture content:
Current topics from the area of information technologies. Description of schematic diagrams; extraction and collation of relevant facts from specialist texts, films and listening comprehension exercises, formulation of requests, suggestions, recommendations, business correspondence (enquiries, answering enquiries, memos), arranging appointments by phone, discussion of current topics, presentations.
Superior module:
English 1
Module description:
Students can describe and explain (oral and written): trends and developments; charts and statistics; process flows, technical equipment, instructions and procedures using schematic diagrams. They can understand, summarise and discuss simple technical articles and can formulate and reply to simple business correspondence such as enquiries. Students can apply English business correspondence standards.
Fundamentals of Electrical Engineering
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1GETLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Safety guidelines in electrics, physical basic sizes (scaling), DC, linear and non-linear resistances, Ohm's law, Kirchhoff's laws, V/I sources, measurement of V, I, R, power/energy, power adjustment, electrical and magnetic fields, capacitance, inductance, RLC circuit, oscillating circuit, AC, sinusoidal functions, active power, reactive power, apparent power, pointer indication, complex calculations.
Superior module:
Technical Physics
Module description:
Students recognise the correspondence between physics and IT. They know the basis and the main parameters of electrical engineering in DC and AC voltages. The acquired theoretical knowledge is applied in calculating, measuring and implementing electrical networks in laboratories.
Fundamentals of Electrical Engineering
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1GETIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
Safety guidelines in electrics, physical basic sizes (scaling), DC, linear and non-linear resistances, Ohm's law, Kirchhoff's laws, V/I sources, measurement of V, I, R, power/energy, power adjustment, electrical and magnetic fields, capacitance, inductance, RLC circuit, oscillating circuit, AC, sinusoidal functions, active power, reactive power, apparent power, pointer indication, complex calculations.
Superior module:
Technical Physics
Module description:
Students recognise the correspondence between physics and IT. They know the basis and the main parameters of electrical engineering in DC and AC voltages. The acquired theoretical knowledge is applied in calculating, measuring and implementing electrical networks in laboratories.
Information and Communication Technologies 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1IKTIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Logical operators (AND, OR, XOR) truth tables, basics of Boolean algebra, information theory: I, H, redundancy, data transfer, coding, data compression / source coding, channel coding, level, distortion, noise.
Superior module:
Fundamentals of Communication Technologies
Module description:
Students are familiar with various numerical systems, basic logic gates and can apply boolean algebra. They know the fundamentals and parameters of information theory and understand the operating principles of coding, compression, error detection and correction procedures. They know signal processing chain components, modulation procedures and can build basic circuits. Students are familiar with the foundations, structures and construction of computer network communication, including important network components. They are proficient in IP addressing and can configure LANs and WLANs.
Introducion to the Study
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1EISIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 1.5 |
| Examination character | immanent |
Lecture content:
Basics of scientific working, inventory and analysis of the personal formal and informal capabilities; estimation of own capabilities and performance limits as well as the resource capacities in various team building exercises. Support of the personal and professional development process. Individual requirements are quickly detected and active learning optimised through a reciprocal feedback process between teacher and student. Focal points are: Guidance and introduction into the studying process, interpersonal communication within the university, support with self-organisation and integration into the study cohort, personal feedback.
Superior module:
Introduction to the Study
Module description:
Students are able to discuss and reflect on tasks individually and in collaborative groups. They are able to apply principles of scientific methods using given examples.
Software Development 1
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | ITSB1SWEIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
Development and importance of the programming language C; data types and control structures in C; unary and binary operators, precedence rules; functions, service life and validity ranges; pointer basics; fault handling, debugging; programming conventions.
Superior module:
Fundamentals of Computer Science
Module description:
Students are able to methodically structure problems and then derive functional and efficient algorithms. They can use and implement the essentials of procedural programming and basic IT data structures to develop individual solutions. They understand and master the basics of procedural programming and know the most important data types and structures. They know a range of applications in the programming language C and are able to understand, implement and debug algorithms using integrated development environments (IDEs); as well as estimate programming effort. They understand basic functions of modern operating systems, can conduct a technical review and distinguish operating systems in various environments. They understand the network functions of operating systems and can implement them whilst taking existing security concepts into account.
Applied Mathematics 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2AMAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 4 |
| ECTS Credits | 5 |
| Examination character | immanent |
Lecture content:
Limes calculation for functions of a real variable; differential calculation with functions of a real variable: Differentiation process; differential 1st. and higher order; integral calculation: Integration process; improper integrals 1st. type; Fourier and Laplace transforms; Taylor series: Approximation polynomials, convergence radius, remainder assessment.
Superior module:
Mathematical Fundamentals
Module description:
Students understand central concepts in mathematics and have developed abstract reasoning. They are proficient in elementary concepts and operations with vectors, matrices, determinants and their practical applications. They know the characteristics of the most important functions, particularly the harmonic functions, in a real variable and understand their relevance in technical fields. They understand and can apply common procedures for calculating limits of functions and can apply them in practical scenarios. They are proficient in differential and integral calculus and are able to apply Fourier and Laplace transforms to simple functions. They can calculate Taylor series for real-valued functions, determine the corresponding radius of convergence and find approximating functions.
Business and Law 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2WURVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Financing and controlling: Basics of investment appraisal and financing, introduction to the methods of short-term financial planning and budgeting, types of finance, introduction into finance and investment management, financial instruments, qualitative and quantitative assessment criteria for investments, investment appraisal methods, internal activity allocation; cost accounting, cost accounting systems, introduction into controlling, subject-specific exercises. Legal studies: Introduction to copyright and criminal law, national and international jurisdiction as well as arbitration jurisdiction, introduction to civil law (focal point: contract law including cyber law).
Superior module:
Business and Law
Module description:
Students are familiar with fundamentals of economics and business management, and professional (cost) accounting. They have basic knowledge of capital budgeting and financing; investment project evaluation; creating investment and financing plans and comparing various types of financing. They have basic legal knowledge, with emphasis on their area of specialization and are familiar with the laws relevant to their profession. They may obtain European Business Competence License (EBCL) certification.
Computer Networks 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2CNEIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Channel coding process, line codes, analogue and digital modulation/demodulation, particular aspects of the radio interface, fault handling, access methods. Basics of WLAN standards per IEEE 802.11, basics of IPv6. Basics of Cisco routers and switches, securing Cisco components, - password recovery, IPv6 configuration, IPv6 tunnel.
Superior module:
Fundamentals of Communication Technologies
Module description:
Students are familiar with various numerical systems, basic logic gates and can apply boolean algebra. They know the fundamentals and parameters of information theory and understand the operating principles of coding, compression, error detection and correction procedures. They know signal processing chain components, modulation procedures and can build basic circuits. Students are familiar with the foundations, structures and construction of computer network communication, including important network components. They are proficient in IP addressing and can configure LANs and WLANs.
English 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2ENGIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Current topics from the area of information technologies and robotics. Description and clarification of trends and developments by means of flow charts, pie charts and curves, tables and statistics; description of processes and flows; presentations.
Superior module:
English 1
Module description:
Students can describe and explain (oral and written): trends and developments; charts and statistics; process flows, technical equipment, instructions and procedures using schematic diagrams. They can understand, summarise and discuss simple technical articles and can formulate and reply to simple business correspondence such as enquiries. Students can apply English business correspondence standards.
Experimental Physics
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2EPHLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Mechanical basics, spring/mass systems (forces, acceleration, oscillations, pendulums), optics (light, bending, scattering, fibre optics, laser), colour spaces (spectral decomposition, colour triangle), energy generation (photovoltaic, fuel cells), energy conversions (transformer, motor, generator, microphone/loudspeaker, piezo), electromagnetic fields (radiation, waves, antennae), semiconductors (conduction mechanisms, diodes (LED), transistors, LCD), thermodynamics (temperature, cooling, thermocouples).
Superior module:
Technical Physics
Module description:
Students recognise the correspondence between physics and IT. They know the basis and the main parameters of electrical engineering in DC and AC voltages. The acquired theoretical knowledge is applied in calculating, measuring and implementing electrical networks in laboratories.
Experimental Physics
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2EPHVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
Mechanical basics, spring/mass systems (forces, acceleration, oscillations, pendulums), optics (light, bending, scattering, fibre optics, laser), colour spaces (spectral decomposition, colour triangle), energy generation (photovoltaic, fuel cells), energy conversions (transformer, motor, generator, microphone/loudspeaker, piezo), electromagnetic fields (radiation, waves, antennae), semiconductors (conduction mechanisms, diodes (LED), transistors, LCD), thermodynamics (temperature, cooling, thermocouples).
Superior module:
Technical Physics
Module description:
Students recognise the correspondence between physics and IT. They know the basis and the main parameters of electrical engineering in DC and AC voltages. The acquired theoretical knowledge is applied in calculating, measuring and implementing electrical networks in laboratories.
Information and Communication Technologies 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2IKTIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
OPV, basic principles AD-DA conversion, passive filter RC, Bode plots, basic filter circuits (R-L-C circuits), active filters, lines.
Superior module:
Fundamentals of Communication Technologies
Module description:
Students are familiar with various numerical systems, basic logic gates and can apply boolean algebra. They know the fundamentals and parameters of information theory and understand the operating principles of coding, compression, error detection and correction procedures. They know signal processing chain components, modulation procedures and can build basic circuits. Students are familiar with the foundations, structures and construction of computer network communication, including important network components. They are proficient in IP addressing and can configure LANs and WLANs.
Operating Systems
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2BTSIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Structure and basic concepts of modern operating systems, input/output management, command interpreter (shells); memory management in the operating system, working with parallel processes and threads; scheduling mechanisms; process management and synchronisation; memory addressing and address translation; security concepts of operating systems; real-time operating systems; basic network programmes; use of network functionalities of operating systems.
Superior module:
Fundamentals of Computer Science
Module description:
Students are able to methodically structure problems and then derive functional and efficient algorithms. They can use and implement the essentials of procedural programming and basic IT data structures to develop individual solutions. They understand and master the basics of procedural programming and know the most important data types and structures. They know a range of applications in the programming language C and are able to understand, implement and debug algorithms using integrated development environments (IDEs); as well as estimate programming effort. They understand basic functions of modern operating systems, can conduct a technical review and distinguish operating systems in various environments. They understand the network functions of operating systems and can implement them whilst taking existing security concepts into account.
Social and Communication Skills 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2SKKIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Support of the personal and professional development process. Individual requirements are quickly detected and active learning optimised through a reciprocal feedback process between teacher and student. Focal points are: target group oriented communication, press text, specialist articles, logs, scientific work. Selected subject areas could be: Presentation techniques: Creation and implementation of informative or argumentative lectures and presentations, effects of voice, facial expressions and gestures, discussions, small group work and role-playing. Career planning: Inventory and analysis of the personal formal and informal capabilities; using practical methods to make contact with decision-makers in the desired working field, writing an application cover letter incl. CV, preparation for application by means of role-playing. Effective communication: Question techniques, target group specific and adequate communications, written and verbal, communication models, dealing with conflict situations, taking and giving feedback. Innovation & technology: Simple techniques for developing creativity; presentation of creative and innovative products, processes and services in the technological area; planning and implementation of innovation workshops for developing new ideas.
Superior module:
Social and communication skills
Module description:
Students are able to define personal development goals (soft skills) after self-assessment. They are able to self-reflect, identify and discuss their personal and professional tasks. They can evaluate their academic and social progress in the university setting and determine ways to improve. Selected topics could include: Presentation techniques: Their speech is articulate, clear and well modulated and they learn to use their voice actively (tone, rhythm, volume, pace). They use coherent, descriptive phrasing to explain essential information in a few words (with common, connecting thread). They support their verbal communication with appropriate use of gestures and expressions. They can identify the effect of gestures and facial expressions as a support for verbal communications. They can adapt their content to a target audience. Career planning: They are able to identify their strengths and weaknesses and present them in a structured CV. They can reflect on their role and experiences, refer to concrete examples and use appropriate self-descriptions to apply for a specific position, as well as communicate those qualities to others.
Software Development 2
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | ITSB2SWEIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
C pre-processor and macros; file handling and format strings; pointer application; static and dynamic data structures, lists, stack and heap; program documentation.
Superior module:
Fundamentals of Computer Science
Module description:
Students are able to methodically structure problems and then derive functional and efficient algorithms. They can use and implement the essentials of procedural programming and basic IT data structures to develop individual solutions. They understand and master the basics of procedural programming and know the most important data types and structures. They know a range of applications in the programming language C and are able to understand, implement and debug algorithms using integrated development environments (IDEs); as well as estimate programming effort. They understand basic functions of modern operating systems, can conduct a technical review and distinguish operating systems in various environments. They understand the network functions of operating systems and can implement them whilst taking existing security concepts into account.
English 3
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3ENGIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Current topics from the area of information technologies. Explanation of diagrams, summarising and discussion of specialist texts; definition of requirements, suggestions and recommendations, writing reports and memos.
Superior module:
English 2
Module description:
Students can describe and explain (oral and written): trends and developments; charts and statistics; process flows, technical equipment, instructions and procedures using schematic diagrams. They can understand, summarise and discuss simple technical articles and can formulate and reply to simple business correspondence such as enquiries. Students can apply English business correspondence standards.
Object-Oriented Programming
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3OOPLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Introduction of OO paradigms; classes and objects; object CV: Construction, destruction, late binding; dynamic memory management; abstraction; encapsulation and access attributes; generalisation and multiple inheritance; basics of meta-programming; implementation of the basic concepts mentioned in C++ programming language; interfaces; exception handling; overloading of functions and operators; OO programming conventions, C++ standard library; UML class diagram; module tests; documentation.
Superior module:
Object-Oriented Programming
Module description:
Students are familiar with the possibilities and restrictions of object-oriented programming and understand the specific characteristics of the object-oriented paradigm. They are proficient in basic concepts of abstraction, encapsulation, inheritance and polymorphism and their representation in programming language C++. They can develop simple class models and describe them with UML (Unified Modelling Language) class diagrams, and implement these models autonomously in an object-oriented programming language using industry-relevant IDEs. They can use modern class libraries to implement tasks in object-oriented software as well as the technical opportunities of modern run-time environments (e.g. concurrency, security mechanisms, introspection).
Object-Oriented Programming
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3OOPVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Introduction of OO paradigms; classes and objects; object CV: Construction, destruction, late binding; dynamic memory management; abstraction; encapsulation and access attributes; generalisation and multiple inheritance; basics of meta-programming; implementation of the basic concepts mentioned in C++ programming language; interfaces; exception handling; overloading of functions and operators; OO programming conventions, C++ standard library; UML class diagram; module tests; documentation.
Superior module:
Object-Oriented Programming
Module description:
Students are familiar with the possibilities and restrictions of object-oriented programming and understand the specific characteristics of the object-oriented paradigm. They are proficient in basic concepts of abstraction, encapsulation, inheritance and polymorphism and their representation in programming language C++. They can develop simple class models and describe them with UML (Unified Modelling Language) class diagrams, and implement these models autonomously in an object-oriented programming language using industry-relevant IDEs. They can use modern class libraries to implement tasks in object-oriented software as well as the technical opportunities of modern run-time environments (e.g. concurrency, security mechanisms, introspection).
Selected Topics in Mathematics
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3AKMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 4 |
| ECTS Credits | 5 |
| Examination character | immanent |
Lecture content:
Descriptive statistics and regression (histograms, location and scatter parameters, correlation analysis and regression); implementation of statistical standard procedures with software support and commenting of the results; probability calculation and stochastic modelling (basic area, event, probability and conditional probability, combinatorics, random variable, distribution, moments, important discrete and constant distributions); introduction to number theory (prime factorisation, Euclidian algorithms, calculating with congruences, Diophantine equations); MATLAB (CLI and programming).
Superior module:
Selected Topics in Mathematics
Module description:
Students are familiar with basic engineering maths including: descriptive statistics, calculating probability and number theory. The theoretical knowledge and formal methods are supplemented by proficiency in using maths software.
Signals & Systems 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3SSYLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Damping, linear and non-linear systems, transition from Fourier series to Fourier transforms, characteristics and use of convolution, autocorrelation, cross-correlation, description of stochastic signals, discretisation of signals, quantisation, frequency spectra coded random signals, error probability with the transfer, system description.
Superior module:
Signals and Systems
Module description:
Students have a theory-based knowledge of signal and system analysis. They can express the relations of signals and systems to time and frequency; describe statistical signal processing properties; represent sampling and quantization of discrete-time systems mathematically and explain their practical implications. They have an explicit understanding of the connection between signal transmission, coding and error probability. They can apply the Laplace transformation; graphically display the transfer functions (frequency response) of continuous systems; combine transfer functions and examine system stability using various methods. They know principles of control systems engineering and analogue filters.They are able to apply the knowledge gained from continuous signals and systems to discrete signals and systems, as mathematical descriptions and applications. They are familiar with basic descriptions of two-dimensional signals (images).
Signals & Systems 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3SSYIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Damping, linear and non-linear systems, transition from Fourier series to Fourier transforms, characteristics and use of convolution, autocorrelation, cross-correlation, description of stochastic signals, discretisation of signals, quantisation, frequency spectra coded random signals, error probability with the transfer, system description.
Superior module:
Signals and Systems
Module description:
Students have a theory-based knowledge of signal and system analysis. They can express the relations of signals and systems to time and frequency; describe statistical signal processing properties; represent sampling and quantization of discrete-time systems mathematically and explain their practical implications. They have an explicit understanding of the connection between signal transmission, coding and error probability. They can apply the Laplace transformation; graphically display the transfer functions (frequency response) of continuous systems; combine transfer functions and examine system stability using various methods. They know principles of control systems engineering and analogue filters.They are able to apply the knowledge gained from continuous signals and systems to discrete signals and systems, as mathematical descriptions and applications. They are familiar with basic descriptions of two-dimensional signals (images).
Social and Communication Skills 2
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3SKKIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Support of the personal and professional development process. Individual requirements are quickly detected and active learning optimised through a reciprocal feedback process between teacher and student. Focal points are: Strengths/weaknesses analysis, attitudes and values, orientation aids for further specialisation in studies. Selected subject areas, see social and communications skills 1.
Superior module:
Social and communication skills
Module description:
Students are able to define personal development goals (soft skills) after self-assessment. They are able to self-reflect, identify and discuss their personal and professional tasks. They can evaluate their academic and social progress in the university setting and determine ways to improve. Selected topics could include: Presentation techniques: Their speech is articulate, clear and well modulated and they learn to use their voice actively (tone, rhythm, volume, pace). They use coherent, descriptive phrasing to explain essential information in a few words (with common, connecting thread). They support their verbal communication with appropriate use of gestures and expressions. They can identify the effect of gestures and facial expressions as a support for verbal communications. They can adapt their content to a target audience. Career planning: They are able to identify their strengths and weaknesses and present them in a structured CV. They can reflect on their role and experiences, refer to concrete examples and use appropriate self-descriptions to apply for a specific position, as well as communicate those qualities to others.
ELECTIVE: Internet Protocols and Services
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3IPDLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Introduction and comparison of network architectures (ISO-OSI, TCP/IP); treatment of transfer errors (Stop and Wait ARQ, sliding window procedure); basics of IPv4 (NAT, multicasting, fragmentation) and IPv6 networks (migration, auto-configuration); routing (distance vector, link state); TCP (flow control, congestion control); application layer protocols (SIP, XMPP, DNS, POP/IMAP, http). Cisco CCNA; configuring static routing, VLAN and inter-VLAN routing, OSPF and EIGRP, access control lists, DHCP and NAT configuration, troubleshooting, structure of a network.
Superior module:
ELECTIVE: Internet Technologies
Module description:
Internet Protocols and Services: Students know how the Internet functions and understand its protocols and services. They are proficient in basic quantitative assessment of data transmission and determining the demands of modern transmission networks on existing technical systems (routers, etc.). They can work with technical specifications and standards in their original versions. Web Technologies: Students have an overview of current web technologies and are proficient in web programming basics, implementing them in applications (internet and web applications) whilst taking account of existing security concepts. They know common protocols, standards and APIs used in the web and web programming and are aware of specific problem areas in web technologies. They understand user-centred design concepts and are able to independently implement web projects.
ELECTIVE: Internet Protocols and Services
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3IPDIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Introduction and comparison of network architectures (ISO-OSI, TCP/IP); treatment of transfer errors (Stop and Wait ARQ, sliding window procedure); basics of IPv4 (NAT, multicasting, fragmentation) and IPv6 networks (migration, auto-configuration); routing (distance vector, link state); TCP (flow control, congestion control); application layer protocols (SIP, XMPP, DNS, POP/IMAP, http). Cisco CCNA; configuring static routing, VLAN and inter-VLAN routing, OSPF and EIGRP, access control lists, DHCP and NAT configuration, troubleshooting, structure of a network.
Superior module:
ELECTIVE: Internet Technologies
Module description:
Internet Protocols and Services: Students know how the Internet functions and understand its protocols and services. They are proficient in basic quantitative assessment of data transmission and determining the demands of modern transmission networks on existing technical systems (routers, etc.). They can work with technical specifications and standards in their original versions. Web Technologies: Students have an overview of current web technologies and are proficient in web programming basics, implementing them in applications (internet and web applications) whilst taking account of existing security concepts. They know common protocols, standards and APIs used in the web and web programming and are aware of specific problem areas in web technologies. They understand user-centred design concepts and are able to independently implement web projects.
ELECTIVE: Web Technologies
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3WEBLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Overview of web technologies and relevant protocols (HTML5, CSS/XSL, XML, SOAP, JSP, ASP, .NET, AJAX); design and implementation strategies for web applications, testing and optimising web applications; overview of the methods of the server-side programming; script languages for client-side and server-side development; overview and application of current frameworks from web development; JS-based frameworks for data visualisation; configuration options and logging; authentication and security problems; NoSQL databases as data repository for web applications; selected current chapter on web technologies.
Superior module:
ELECTIVE: Internet Technologies
Module description:
Internet Protocols and Services: Students know how the Internet functions and understand its protocols and services. They are proficient in basic quantitative assessment of data transmission and determining the demands of modern transmission networks on existing technical systems (routers, etc.). They can work with technical specifications and standards in their original versions. Web Technologies: Students have an overview of current web technologies and are proficient in web programming basics, implementing them in applications (internet and web applications) whilst taking account of existing security concepts. They know common protocols, standards and APIs used in the web and web programming and are aware of specific problem areas in web technologies. They understand user-centred design concepts and are able to independently implement web projects.
ELECTIVE: Web Technologies
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3WEBVO |
| Type | VO |
| Kind | Elective |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
Overview of web technologies and relevant protocols (HTML5, CSS/XSL, XML, SOAP, JSP, ASP, .NET, AJAX); design and implementation strategies for web applications, testing and optimising web applications; overview of the methods of the server-side programming; script languages for client-side and server-side development; overview and application of current frameworks from web development; JS-based frameworks for data visualisation; configuration options and logging; authentication and security problems; NoSQL databases as data repository for web applications; selected current chapter on web technologies.
Superior module:
ELECTIVE: Internet Technologies
Module description:
Internet Protocols and Services: Students know how the Internet functions and understand its protocols and services. They are proficient in basic quantitative assessment of data transmission and determining the demands of modern transmission networks on existing technical systems (routers, etc.). They can work with technical specifications and standards in their original versions. Web Technologies: Students have an overview of current web technologies and are proficient in web programming basics, implementing them in applications (internet and web applications) whilst taking account of existing security concepts. They know common protocols, standards and APIs used in the web and web programming and are aware of specific problem areas in web technologies. They understand user-centred design concepts and are able to independently implement web projects.
ELECTIVE: Fundamentals of Mechanical Engineering
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3TMKIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 4 |
| ECTS Credits | 5 |
| Examination character | immanent |
Lecture content:
Statics: Equilibrium of forces and moments, friction. Mechanics or strength of materials: Elastic expansion, dimensioning of mechanical construction elements. Dynamics: Basics of kinetics, mass-spring systems, damping. Basics of fluid mechanics and thermodynamics.
Superior module:
ELECTIVE: Mechanical Engineering (= Mechatronics 1)
Module description:
Students have basic knowledge of statics and elastostatics, kinematics and kinetics, and fluid dynamics. They know properties and applications of engineering materials and machine elements. They have experience using CAD systems and can solve elementary mechanical design problems.
ELEVTIVE: Engineering Design
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | ITSB3KTTIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
Material science, machine elements, tolerances, fits, industry standards Technical drawing use of CAD systems. Conception, dimensioning and design of mechanical systems.
Superior module:
ELECTIVE: Mechanical Engineering (= Mechatronics 1)
Module description:
Students have basic knowledge of statics and elastostatics, kinematics and kinetics, and fluid dynamics. They know properties and applications of engineering materials and machine elements. They have experience using CAD systems and can solve elementary mechanical design problems.
Database Systems
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4DBSLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Requirements for a DBMS; historic development of databases; relational model and NoSQL approaches; standard forms; referential integrity; physical data organisation; ER modelling with UML2; transformation of ER models into relations models; SQL DDL (Data Definition Language); SQL DML (Data Manipulation Language); saving and polling of geo-data (spatial queries); integration of data sources. Enhanced database architectures such as object-relational, object-oriented and distributed database models as well as different NoSQL databases. Relevance of NoSQL systems for Big Data and real-time web applications.
Superior module:
Database Systems
Module description:
Students have a basic understanding of logical and physical data management and how database systems work. They are capable of designing and physically implementing relational database structures, key-value databases and graph or document oriented database systems (NoSQL). Graduates are able to retrieve information from database systems using SQL (Structured Query Language). They have a basic understanding of database and application interactions.
Database Systems
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4DBSVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Requirements for a DBMS; historic development of databases; relational model and NoSQL approaches; standard forms; referential integrity; physical data organisation; ER modelling with UML2; transformation of ER models into relations models; SQL DDL (Data Definition Language); SQL DML (Data Manipulation Language); saving and polling of geo-data (spatial queries); integration of data sources. Enhanced database architectures such as object-relational, object-oriented and distributed database models as well as different NoSQL databases. Relevance of NoSQL systems for Big Data and real-time web applications.
Superior module:
Database Systems
Module description:
Students have a basic understanding of logical and physical data management and how database systems work. They are capable of designing and physically implementing relational database structures, key-value databases and graph or document oriented database systems (NoSQL). Graduates are able to retrieve information from database systems using SQL (Structured Query Language). They have a basic understanding of database and application interactions.
Digital Technology
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4DIGLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 1.5 |
| Examination character | immanent |
Lecture content:
Boolean algebra, combinatorial logic gates (AND, OR, NOT, XOR, half-adder and full-adder) and their composition; sequential logic gates (Flip-Flops, up-counter, down-counter and modulo counter, frequency divider); development of logic circuits (KV diagrams); basics of digital memory modules (RAM, ROM, GAL). Introduction into microcontroller programming.
Superior module:
Digital Technology
Module description:
Students can perform arithmetic operations in Boolean algebra and build simple digital circuits from basic elements. They can design and construct counters, frequency dividers, adders and other components. They are familiar with microcontroller programming.
Digital Technology
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4DIGVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 1.5 |
| Examination character | final |
Lecture content:
Boolean algebra, combinatorial logic gates (AND, OR, NOT, XOR, half-adder and full-adder) and their composition; sequential logic gates (Flip-Flops, up-counter, down-counter and modulo counter, frequency divider); development of logic circuits (KV diagrams); basics of digital memory modules (RAM, ROM, GAL). Introduction into microcontroller programming.
Superior module:
Digital Technology
Module description:
Students can perform arithmetic operations in Boolean algebra and build simple digital circuits from basic elements. They can design and construct counters, frequency dividers, adders and other components. They are familiar with microcontroller programming.
Encryption
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4KRYIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Objectives and tasks of cryptography, demarcation of cryptoanalysis and steganography; cryptographic algorithms and protocols, Kerkhoff's principle; theory and practise of: Symmetrical process, public-key process, cryptographic hashes, signatures; important types of attack and infrastructures to prevent these.
Superior module:
Software systems and Security
Module description:
Students can assess the capabilities of modern programming platforms and use them in commercial software development. They can apply modern class libraries to implement tasks in object-oriented software and use the technical options of modern runtime environments (e.g. concurrency, security mechanisms, introspection). They can assess usability of various libraries and frameworks. They are familiar with the objectives and approaches to modern cryptography and are able to appropriately apply symmetric, asymmetric and combination methods to increase data security.
English 4
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4ENGIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Current topics from the area of information technologies. Description of an organigram and the areas of responsibility, job profiles and application cover letters, analysis of personal strengths and weaknesses, job interviews.
Superior module:
English 2
Module description:
Students can describe and explain (oral and written): trends and developments; charts and statistics; process flows, technical equipment, instructions and procedures using schematic diagrams. They can understand, summarise and discuss simple technical articles and can formulate and reply to simple business correspondence such as enquiries. Students can apply English business correspondence standards.
Network-Oriented Software Development
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4NWSIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Java basics and interfaces to the operating system; run-time detection and introspection; type conversion (e.g. boxing and unboxing); serialisation; iterators as well as containers and their use; delegates and local classes; threads; class libraries and frameworks; network programming; servlets; systematic tests (e.g. unit tests); documentation (e.g. with JavaDoc); development conventions; overview of best practice concepts.
Superior module:
Software systems and Security
Module description:
Students can assess the capabilities of modern programming platforms and use them in commercial software development. They can apply modern class libraries to implement tasks in object-oriented software and use the technical options of modern runtime environments (e.g. concurrency, security mechanisms, introspection). They can assess usability of various libraries and frameworks. They are familiar with the objectives and approaches to modern cryptography and are able to appropriately apply symmetric, asymmetric and combination methods to increase data security.
Signals & Systems 2
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4SSYLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Laplace transforms, transfer function, system response to defined input signals, pole-zero diagram, locus curve, Bode diagram, systems with dead time, stability criteria, basic principles of control technology, analogue filters, discrete signals and systems, discrete Fourier transforms, z-transforms, stability investigation in discrete systems, frequency response of discrete systems, basic principles of digital filters. Application of 2D filters in image processing.
Superior module:
Signals and Systems
Module description:
Students have a theory-based knowledge of signal and system analysis. They can express the relations of signals and systems to time and frequency; describe statistical signal processing properties; represent sampling and quantization of discrete-time systems mathematically and explain their practical implications. They have an explicit understanding of the connection between signal transmission, coding and error probability. They can apply the Laplace transformation; graphically display the transfer functions (frequency response) of continuous systems; combine transfer functions and examine system stability using various methods. They know principles of control systems engineering and analogue filters.They are able to apply the knowledge gained from continuous signals and systems to discrete signals and systems, as mathematical descriptions and applications. They are familiar with basic descriptions of two-dimensional signals (images).
Signals & Systems 2
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4SSYIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Laplace transforms, transfer function, system response to defined input signals, pole-zero diagram, locus curve, Bode diagram, systems with dead time, stability criteria, basic principles of control technology, analogue filters, discrete signals and systems, discrete Fourier transforms, z-transforms, stability investigation in discrete systems, frequency response of discrete systems, basic principles of digital filters. Application of 2D filters in image processing.
Superior module:
Signals and Systems
Module description:
Students have a theory-based knowledge of signal and system analysis. They can express the relations of signals and systems to time and frequency; describe statistical signal processing properties; represent sampling and quantization of discrete-time systems mathematically and explain their practical implications. They have an explicit understanding of the connection between signal transmission, coding and error probability. They can apply the Laplace transformation; graphically display the transfer functions (frequency response) of continuous systems; combine transfer functions and examine system stability using various methods. They know principles of control systems engineering and analogue filters.They are able to apply the knowledge gained from continuous signals and systems to discrete signals and systems, as mathematical descriptions and applications. They are familiar with basic descriptions of two-dimensional signals (images).
Social and Communication Skills 3
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4SKKIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Support of the personal and professional development process. Individual requirements are quickly detected and active learning optimised through a reciprocal feedback process between teacher and student. Focal points are: Role clarity and interaction with external persons (companies, training supervisors, etc.), interviews and self-presentation, pitching ideas. Options and added value of a semester abroad. Selected subject areas, see social and communications skills 1 and 2.
Superior module:
Social and communication skills
Module description:
Students are able to define personal development goals (soft skills) after self-assessment. They are able to self-reflect, identify and discuss their personal and professional tasks. They can evaluate their academic and social progress in the university setting and determine ways to improve. Selected topics could include: Presentation techniques: Their speech is articulate, clear and well modulated and they learn to use their voice actively (tone, rhythm, volume, pace). They use coherent, descriptive phrasing to explain essential information in a few words (with common, connecting thread). They support their verbal communication with appropriate use of gestures and expressions. They can identify the effect of gestures and facial expressions as a support for verbal communications. They can adapt their content to a target audience. Career planning: They are able to identify their strengths and weaknesses and present them in a structured CV. They can reflect on their role and experiences, refer to concrete examples and use appropriate self-descriptions to apply for a specific position, as well as communicate those qualities to others.
ELECTIVE: Power Generation and Electric Networks
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4EENLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
3-phase transformers, 3-phase motors and generators, high-voltage technology, isolators, power converters, opportunities of energy generation, alternative energies, characteristics and comparison of different energy generation systems (efficiency, availability, etc.)
Superior module:
ELECTIVE: Intelligent Energy Systems 1
Module description:
Students understand central principles of energy technology. They are familiar with three-phase system operations (transformers, generators, motors) in energy technology. They know how power electronics (inverters, rectifiers, charging stations) function.
ELECTIVE: Power Generation and Electric Networks
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4EENIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
3-phase transformers, 3-phase motors and generators, high-voltage technology, isolators, power converters, opportunities of energy generation, alternative energies, characteristics and comparison of different energy generation systems (efficiency, availability, etc.)
Superior module:
ELECTIVE: Intelligent Energy Systems 1
Module description:
Students understand central principles of energy technology. They are familiar with three-phase system operations (transformers, generators, motors) in energy technology. They know how power electronics (inverters, rectifiers, charging stations) function.
ELECTIVE: Measurement Technology and Industrial Controls
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4MSTLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Measurement error, measurement amplifier, measurement of electrical variables, measurement bridges, measurement and amplifier circuits, sensors for non-electrical measurement variables (temperature, force and pressure, distance and angle, speed and flow, acceleration, optical sensors, fill level, surface wave sensors), correlation measurement technology. Structure and functionality of programmable logic controllers, IEC 1131, Boolean logic, logic controller, sequence controllers, state controllers. Structure of measurement and sensor circuits, digital measured value processing and implementation of algorithms for measurement data processing, programming of logic, sequence and state controllers, HMI/SCADA.
Superior module:
ELECTIVE: Mechatronics 2
Module description:
Students are familiar with the fundamentals of measurement technology and sensory systems. They know the most important measurement methods for industrial applications and can design simple measurement systems. They are able to analyse measurement errors from current measurement methods and to statistically evaluate these. Furthermore they can carry out a computer-aided assessment of measurement signals with standard industrial hardware and software. The students understand the functionality of industrial controllers and are able to implement simple control tasks with IEC -1131. They are familiar with systematic concepts for logic, sequence and state controllers and can implement these.
ELECTIVE: Measurement Technology and Industrial Controls
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4MSTIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Measurement error, measurement amplifier, measurement of electrical variables, measurement bridges, measurement and amplifier circuits, sensors for non-electrical measurement variables (temperature, force and pressure, distance and angle, speed and flow, acceleration, optical sensors, fill level, surface wave sensors), correlation measurement technology. Structure and functionality of programmable logic controllers, IEC 1131, Boolean logic, logic controller, sequence controllers, state controllers. Structure of measurement and sensor circuits, digital measured value processing and implementation of algorithms for measurement data processing, programming of logic, sequence and state controllers, HMI/SCADA.
Superior module:
ELECTIVE: Mechatronics 2
Module description:
Students are familiar with the fundamentals of measurement technology and sensory systems. They know the most important measurement methods for industrial applications and can design simple measurement systems. They are able to analyse measurement errors from current measurement methods and to statistically evaluate these. Furthermore they can carry out a computer-aided assessment of measurement signals with standard industrial hardware and software. The students understand the functionality of industrial controllers and are able to implement simple control tasks with IEC -1131. They are familiar with systematic concepts for logic, sequence and state controllers and can implement these.
ELECTIVE: Media Technology
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4METLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Basics of media informatics: Multimedia data formats and standards, audio, image and video coding, real-time data transfer, image processing and optimisation; saving multimedia data: Basics of multimedia data compression, container formats, multimedia data security, memory systems, video file systems; hypermedia systems: Referencing techniques, knowledge-basing; multimedia applications: Development of mobile applications and security aspects of mobile end-devices, video and audio conferencing, video-on-demand, IPTV, collaboration systems.
Superior module:
ELECTIVE: Media Informatics 1
Module description:
Students are familiar with current multimedia technologies and can competently select data management and retrieval methods for multimedia applications. They understand the advantages and disadvantages of various compression standards and the technical challenges related to multimedia data streams. They can implement software for multimedia applications, as well as use common software libraries for audio compression, image compression and video compression. They have a broad competence in dealing with common multimedia applications.
ELECTIVE: Media Technology
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4METIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Basics of media informatics: Multimedia data formats and standards, audio, image and video coding, real-time data transfer, image processing and optimisation; saving multimedia data: Basics of multimedia data compression, container formats, multimedia data security, memory systems, video file systems; hypermedia systems: Referencing techniques, knowledge-basing; multimedia applications: Development of mobile applications and security aspects of mobile end-devices, video and audio conferencing, video-on-demand, IPTV, collaboration systems.
Superior module:
ELECTIVE: Media Informatics 1
Module description:
Students are familiar with current multimedia technologies and can competently select data management and retrieval methods for multimedia applications. They understand the advantages and disadvantages of various compression standards and the technical challenges related to multimedia data streams. They can implement software for multimedia applications, as well as use common software libraries for audio compression, image compression and video compression. They have a broad competence in dealing with common multimedia applications.
ELECTIVE: Network Management
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4NWMLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
"Management areas (FCAPS); SNMP; policy management In-depth performance management: IntServ, DiffServ; performance rating of network elements and networks per BMWG, IPPM; network planning with min. spanning tree (fixed network) and grid process (radio network), cluster formation, MPLS, SDN, OpenFlow, IoT management with CoAP, laboratory exercises (integrative learning course): Syslog, SNMP, Nagios, Open Flow/SDN, MPLS. Cisco CCNA; Spanning Tree Protocol (STP) and Per VLAN Spanning Tree Plus (PVST+), Etherchannel Open Shortest Path First (OSPF) and Enhanced Interior Gateway Routing Protocol (EIGRP), Cisco Wireless LAN (WLAN) configuration, Cisco Internetwork Operating System (IOS), WAN technologies, High-level Data Link Control (HDLC), Point-to-Point Protocol (PPP), Virtual Private Networks (VPN) and Internet Protocol Security (IPsec), Simple Network Management Protocol (SNMP) on Cisco routers, network fault-finding."
Superior module:
ELECTIVE: Network and Communication Technologies 1
Module description:
Students are able to administer networks and to systematically optimise them to meet multimedia application requirements. They can design transition processes for the ICT sector (e.g. IPv4-v6 migration, QoS-based IP networks with MPLS-SDN technologies, IoT). They know the fundamentals of network planning for fixed and wireless networks. They are proficient in configuring heterogeneous LANs and WANs.
ELECTIVE: Network Management
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | ITSB4NWMIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
"Management areas (FCAPS); SNMP; policy management In-depth performance management: IntServ, DiffServ; performance rating of network elements and networks per BMWG, IPPM; network planning with min. spanning tree (fixed network) and grid process (radio network), cluster formation, MPLS, SDN, OpenFlow, IoT management with CoAP, laboratory exercises (integrative learning course): Syslog, SNMP, Nagios, Open Flow/SDN, MPLS. Cisco CCNA; Spanning Tree Protocol (STP) and Per VLAN Spanning Tree Plus (PVST+), Etherchannel Open Shortest Path First (OSPF) and Enhanced Interior Gateway Routing Protocol (EIGRP), Cisco Wireless LAN (WLAN) configuration, Cisco Internetwork Operating System (IOS), WAN technologies, High-level Data Link Control (HDLC), Point-to-Point Protocol (PPP), Virtual Private Networks (VPN) and Internet Protocol Security (IPsec), Simple Network Management Protocol (SNMP) on Cisco routers, network fault-finding."
Superior module:
ELECTIVE: Network and Communication Technologies 1
Module description:
Students are able to administer networks and to systematically optimise them to meet multimedia application requirements. They can design transition processes for the ICT sector (e.g. IPv4-v6 migration, QoS-based IP networks with MPLS-SDN technologies, IoT). They know the fundamentals of network planning for fixed and wireless networks. They are proficient in configuring heterogeneous LANs and WANs.
Applied Project Management
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5APMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Management models: Project selection and order, employee selection and guidance, target-oriented project organisation, efficient communications and information structures, motivation with inclusion of strategic, structural, methodic and cultural differences. Methodic knowledge (classical) such as the creation of requirements specifications and equipment specifications, project order, project definition and kick-off, project structuring, work packages, role profiles and distribution of tasks, timetable and resource planning, milestone definition, financing and results controlling, multi-project management, risk planning and design, project marketing, knowledge management. The following content will be carried out in English, to the extent of 1 semester period per week: This lecture also covers the basics of agile project management and related methodologies. It presents the motivation for, the origins and basic principles of Extreme Programming (XP), Scrum, Kanban and related project management tools. Students learn to assess the application areas of the different approaches and how to introduce them into their project work.
Superior module:
Project Management
Module description:
Students are familiar with models of modern leadership and the basics of successful project management of all types. Classic and innovative methods are dealt with for project start, project implementation and project conclusion with sustainable consolidation of the project results and experiences - in particular non-technical but rather methodical, organisational and management-oriented conditions are dealt with in detail. Project, programme and portfolio management are dealt with in corporate contexts and including the parent organisation as a collaborative team-oriented challenge, whereby the project manager acts as service provider with regard to project and company success. The students also create systematic and method-based scientific documentation, manuals and structures. Actual cases from project management practice and their own projects are used for this. The students are introduced to the practical implementation as well as the scientific processing of the tasks at the scientific level of the masters' programme and international standard in project management. The content will be carried out in English, to the extent of 1 semester period per week: Students are also able to describe the basic principles of agile project management and can distinguish between the related roles, events and artefacts. They can select and combine suitable approaches for technical projects as well as apply the respective tools to facilitate an agile project management process.
Bachelor paper 1 and accompanying Seminar
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5BA1SE |
| Type | SE |
| Kind | Bachelor thesis |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 5 |
| Examination character | immanent |
Lecture content:
Bachelor thesis 1 encompasses a field and topic oriented appraisal of knowledge attained during the course. The subject areas of media informatics, mechatronics, intelligent energy systems, network and communications technology in particular are the subject matter of the study. This work will be implemented in accordance with the basic principles of scientific work.
Superior module:
Bachelor's Paper 1
Module description:
Students can independently compile scientific papers; analyse and describe problems; identify and formulate objectives. They methodically developed their specialization-related Bachelor thesis. They are able to distinguish between their own and others' intellectual property and to justify their personal approach.
Microcontrollers
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MICLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Microcontroller architectures and types; CPUs and their structure; types of memory and their functionality; peripherals; embedded programming in C (addressing, interface programming, basic algorithms); application opportunities for microcontrollers; development of simple, practical microcontroller applications.
Superior module:
Microcontrollers
Module description:
Students can distinguish between different computer architectures and describe their differences. They can explain the structure and operations of a microprocessor including its internal processes. They are able to create microcontroller programmes in a high-level language and implement the analogue and digital building blocks.
Microcontrollers
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MICVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1.5 |
| ECTS Credits | 2 |
| Examination character | final |
Lecture content:
Microcontroller architectures and types; CPUs and their structure; types of memory and their functionality; peripherals; embedded programming in C (addressing, interface programming, basic algorithms); application opportunities for microcontrollers; development of simple, practical microcontroller applications.
Superior module:
Microcontrollers
Module description:
Students can distinguish between different computer architectures and describe their differences. They can explain the structure and operations of a microprocessor including its internal processes. They are able to create microcontroller programmes in a high-level language and implement the analogue and digital building blocks.
Scientific Working Methods
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5WIAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Basic principles of scientific work; characteristics of quality documents; procedure with acquiring information and searching literature; document management and introduction to professional text processing; systematic and structured procedures for generating larger documents; internal and external reviewing; compound documents; best practise examples.
Superior module:
Bachelor's Paper 1
Module description:
Students can independently compile scientific papers; analyse and describe problems; identify and formulate objectives. They methodically developed their specialization-related Bachelor thesis. They are able to distinguish between their own and others' intellectual property and to justify their personal approach.
Software Design
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5SWDLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Software life-cycle; UML as standard notation for software; software specification; light and heavily weighted as well as agile procedure models; requirements engineering; software metrics; testing software; software quality; software design pattern; configuration management; CASE tool collections; main features of model-driven development.
Superior module:
Software Design
Module description:
Students are proficient in object-oriented design techniques and can independently perform the design and implementation of class hierarchies. They understand and can use UML diagrams. They are proficient in an industry-specific UML tool and understand the concepts of small-scale programming in terms of their implementation, e.g. version management and concurrent development. They have an overview of the tasks and responsibilities in the software development process. They are familiar with classic and agile software development methods.
Software Design
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5SWDVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Software life-cycle; UML as standard notation for software; software specification; light and heavily weighted as well as agile procedure models; requirements engineering; software metrics; testing software; software quality; software design pattern; configuration management; CASE tool collections; main features of model-driven development.
Superior module:
Software Design
Module description:
Students are proficient in object-oriented design techniques and can independently perform the design and implementation of class hierarchies. They understand and can use UML diagrams. They are proficient in an industry-specific UML tool and understand the concepts of small-scale programming in terms of their implementation, e.g. version management and concurrent development. They have an overview of the tasks and responsibilities in the software development process. They are familiar with classic and agile software development methods.
UI Technologies
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5UITLB |
| Type | LB |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Basic principles of interaction and dialogue design; use of graphical development environments (e.g. Visual Studio); programming techniques for simple multi-modal user interactions and heterogeneous platforms; graphical presentation of mathematical technical matters; use of basic GUI elements such as menus, windows, dialogues and their modalities; basic concepts of speech and gesture based interaction; development tools for creating GUIs; techniques for parallel processing with user interaction; performance optimisation for interaction with mobile systems.
Superior module:
UI Technologies
Module description:
Students know the basic principles of human-computer interaction and the latest technological tools for implementation. Using industry-relevant design environments (IDE), they can conceptualise and implement applications, from simple applications through to challenging interaction-optimised applications. They also have extensive knowledge of parallel processing and multi-threading in interactive development. They can discuss the benefits of the additional expense of using multi-threading.
UI Technologies
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5UITVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Basic principles of interaction and dialogue design; use of graphical development environments (e.g. Visual Studio); programming techniques for simple multi-modal user interactions and heterogeneous platforms; graphical presentation of mathematical technical matters; use of basic GUI elements such as menus, windows, dialogues and their modalities; basic concepts of speech and gesture based interaction; development tools for creating GUIs; techniques for parallel processing with user interaction; performance optimisation for interaction with mobile systems.
Superior module:
UI Technologies
Module description:
Students know the basic principles of human-computer interaction and the latest technological tools for implementation. Using industry-relevant design environments (IDE), they can conceptualise and implement applications, from simple applications through to challenging interaction-optimised applications. They also have extensive knowledge of parallel processing and multi-threading in interactive development. They can discuss the benefits of the additional expense of using multi-threading.
ELECTIVE: Energy Systems and Industry
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5ESWLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Basics of the energy industry, system technology, types, structure and operation of electrical networks (transmission networks, distribution networks), power system analysis, ICT in the Smart Grid, basics of Smart Grid architecture (SGAM Smart Grid Architectural Model).
Superior module:
ELECTIVE: Intelligent Energy Systems 2
Module description:
Students are aware of intelligent energy system structures and their overall economic relevance. They know the basic features of structures and mechanisms that control or automate energy networks (SCADA). They can also distinguish between different network types such as low voltage or high voltage grids and associated regulatory requirements. They understand the framework and basic principles of the energy industry and energy policy (e.g. electricity market model) and recognise smart grid related communications.
ELECTIVE: Energy Systems and Industry
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5ESWIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Basics of the energy industry, system technology, types, structure and operation of electrical networks (transmission networks, distribution networks), power system analysis, ICT in the Smart Grid, basics of Smart Grid architecture (SGAM Smart Grid Architectural Model).
Superior module:
ELECTIVE: Intelligent Energy Systems 2
Module description:
Students are aware of intelligent energy system structures and their overall economic relevance. They know the basic features of structures and mechanisms that control or automate energy networks (SCADA). They can also distinguish between different network types such as low voltage or high voltage grids and associated regulatory requirements. They understand the framework and basic principles of the energy industry and energy policy (e.g. electricity market model) and recognise smart grid related communications.
ELECTIVE: Control Engineering and Drives
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5RATLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
In-depth examination of the stability of control circuits (Routh-Hurwitz criterion, complete Nyquist criterion), route identification and modelling, quality criteria, controller design in frequency range, pole compensation, compensation controller, state space representation and design of state regulators and monitors, root locus curves (design and controller concepts), design of digital controllers. Structure, functionality, behaviour and operation of DC machines, asynchronous machines and synchronous machines. Design and programming of controller algorithms by means of practical examples with a PLC as automation device, recording of characteristic curves for electrical motors on the machine test bench.
Superior module:
ELECTIVE: Mechatronics 3
Module description:
Students know the theoretical foundations of analogue and digital control technology. They can conceive, simulate and optimise controllers using design methods for common problems. They can develop and implement controllers in real environments for standard industrial applications and implement these in practical situations.
ELECTIVE: Control Engineering and Drives
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5RATIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | German |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
In-depth examination of the stability of control circuits (Routh-Hurwitz criterion, complete Nyquist criterion), route identification and modelling, quality criteria, controller design in frequency range, pole compensation, compensation controller, state space representation and design of state regulators and monitors, root locus curves (design and controller concepts), design of digital controllers. Structure, functionality, behaviour and operation of DC machines, asynchronous machines and synchronous machines. Design and programming of controller algorithms by means of practical examples with a PLC as automation device, recording of characteristic curves for electrical motors on the machine test bench.
Superior module:
ELECTIVE: Mechatronics 3
Module description:
Students know the theoretical foundations of analogue and digital control technology. They can conceive, simulate and optimise controllers using design methods for common problems. They can develop and implement controllers in real environments for standard industrial applications and implement these in practical situations.
ELECTIVE: Media Informatics
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MIFLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Theoretical basics of digital media; from information models to distribution and presentation systems; object and feature detection, content-based image retrieval; basics of computer graphics and computer-aided sight; multi-media frameworks and multi-media database systems; social software concepts and collective intelligence; basics of media economics; selected chapters from image and video processing.
Superior module:
ELECTIVE: Media Informatics 2
Module description:
Students are familiar with current media informatics technology and methods. They can plan and implement simple multimedia systems; and evaluate and apply multimedia technology products. They have a broad competence in dealing with common multimedia applications and are able to integrate distributed Computer-Vision software libraries, image processing and video processing libraries in their own programmes.
ELECTIVE: Media Informatics
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MIFIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | final |
Lecture content:
Theoretical basics of digital media; from information models to distribution and presentation systems; object and feature detection, content-based image retrieval; basics of computer graphics and computer-aided sight; multi-media frameworks and multi-media database systems; social software concepts and collective intelligence; basics of media economics; selected chapters from image and video processing.
Superior module:
ELECTIVE: Media Informatics 2
Module description:
Students are familiar with current media informatics technology and methods. They can plan and implement simple multimedia systems; and evaluate and apply multimedia technology products. They have a broad competence in dealing with common multimedia applications and are able to integrate distributed Computer-Vision software libraries, image processing and video processing libraries in their own programmes.
ELECTIVE: Mobile Networks and Security
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MNSLB |
| Type | LB |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
WLAN: Focal point security; classical telecommunication networks; VoIP: relevant protocols and architectures, QoS and security aspects; GSM/GPRS/UMTS/LTE: Protocols, architectures, specific aspects of layer 1 (CDMA), basics for wide area networks, crypto-methods in LAN/WLAN.
Superior module:
ELECTIVE: Network and Communication Technologies 2
Module description:
Students have in-depth knowledge of conventional telephone networks, mobile communications networks and VoIP and understand related convergent solutions. Using knowledge acquired in previous courses, they are able to develop and optimise a variety of network structures, with a focus on WLAN technologies. They understand the potential hazard of attacks on a network (e.g. DoS) and are familiar with appropriate defence mechanisms. They are able to plan a secure network in accordance with state-of-the-art technology.
ELECTIVE: Mobile Networks and Security
| Semester | 5 |
|---|---|
| Academic year | 3 |
| Course code | ITSB5MNSIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Lecture content:
WLAN: Focal point security; classical telecommunication networks; VoIP: relevant protocols and architectures, QoS and security aspects; GSM/GPRS/UMTS/LTE: Protocols, architectures, specific aspects of layer 1 (CDMA), basics for wide area networks, crypto-methods in LAN/WLAN.
Superior module:
ELECTIVE: Network and Communication Technologies 2
Module description:
Students have in-depth knowledge of conventional telephone networks, mobile communications networks and VoIP and understand related convergent solutions. Using knowledge acquired in previous courses, they are able to develop and optimise a variety of network structures, with a focus on WLAN technologies. They understand the potential hazard of attacks on a network (e.g. DoS) and are familiar with appropriate defence mechanisms. They are able to plan a secure network in accordance with state-of-the-art technology.
Accompanying Seminar for Professional Placement
| Semester | 6 |
|---|---|
| Academic year | 3 |
| Course code | ITSB6BPRRC |
| Type | RC |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 2 |
| Examination character | immanent |
Lecture content:
Introduction of placement companies. Illustration of professional fields and career options. Presentation and reflective appraisal of the respective current work placement experience.
Superior module:
Professional Placement
Module description:
Students participate in an internship (360 hours) in the 6th semester at a professional firm and apply knowledge and skills in core programme related tasks. They gain experience in development and production techniques, as well as social interactions in a work environment. The supervised project work is completed, documented and confirmed by the company management and must be designed such that it can be carried out and documented within the stipulated period. Part-time students are able to fulfil this requirement at their work place if proven that they carry out tasks related to the content of the degree programme.
Bachelor Exam
| Semester | 6 |
|---|---|
| Academic year | 3 |
| Course code | ITSB6BPGBP |
| Type | BP |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 0 |
| ECTS Credits | 0 |
| Examination character | final |
Lecture content:
-
Superior module:
Bachelor's Paper 2
Module description:
Students can independently compile scientific papers; describe and analyze problems; identify and formulate objectives. They are able to distinguish between their own and others' intellectual property, as well as justify their personal approach. Their Bachelor thesis is specialization related; full-time students establish correspondence between their thesis and internship. Students can independently compile scientific papers; describe and analyse problems; identify and formulate objectives. They are able to distinguish between their own and others' intellectual property, as well as justify their personal approach. Their Bachelor thesis is specialization related. Full-time students systematically establish a 2nd. thesis on the basis of their internship. They can justify and argue for their approach and establish cross-references to their internship.
Bachelor paper 2 and accompanying Seminar
| Semester | 6 |
|---|---|
| Academic year | 3 |
| Course code | ITSB6BA2SE |
| Type | SE |
| Kind | Bachelor thesis |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 9 |
| Examination character | immanent |
Lecture content:
Bachelor thesis 2 is a consolidated theoretical, reflected, empirically based scientific work on a relevant topic from the core areas of the course. It will create links between practical and theory-led actions for a subject-specific question. Accordingly, bachelor thesis 2 contains a portion of the formal, theoretical examination as well as an empirically based and/or practical part (project, etc.). Current scientific methods and appropriate scientific literature will be drawn upon for the work.
Superior module:
Bachelor's Paper 2
Module description:
Students can independently compile scientific papers; describe and analyze problems; identify and formulate objectives. They are able to distinguish between their own and others' intellectual property, as well as justify their personal approach. Their Bachelor thesis is specialization related; full-time students establish correspondence between their thesis and internship. Students can independently compile scientific papers; describe and analyse problems; identify and formulate objectives. They are able to distinguish between their own and others' intellectual property, as well as justify their personal approach. Their Bachelor thesis is specialization related. Full-time students systematically establish a 2nd. thesis on the basis of their internship. They can justify and argue for their approach and establish cross-references to their internship.
Fundamentals in Quality Management
| Semester | 6 |
|---|---|
| Academic year | 3 |
| Course code | ITSB6QMAVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | German |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | final |
Lecture content:
Introduction and explanation of the EN ISO 9000ff set of standards; implementation of quality management systems (TQM), application of appropriate methods for fulfilling the individual normative requirements per ISO 9001, application of methods for continuous improvement (CIP) of business efficiency with regard to the quality of the organisation. Furthermore, the most important legal fundamentals for the "impairment of performance" area of civil law are also conveyed to the students.
Superior module:
Quality Management
Module description:
Students can identify the structure and contents of quality management systems. They can interpret the content of the applicable quality management standards (ISO 9000 ff) or can describe this in a quality management manual. The following modules are covered: Module 2, the ISO 9000 family, module 3, ISO 9001 requirements, module 4, areas of expertise, module 5 system documentation. Furthermore, the students can describe the basic principles and implementation of internal audits in accordance with the relevant ISO 19011 standard. They possess theoretical and practical knowledge about the most important quality assurance methods such as TQM, problem solving techniques and CIP tools. Students acquire a course certificate for the Integrated Management Systems, Quality Management Systems and Applied Integrated Management Systems courses, accredited by Quality Austria, as a prerequisite for the optional System Quality Manager examination.
Professional Placement
| Semester | 6 |
|---|---|
| Academic year | 3 |
| Course code | ITSB6BPRIT |
| Type | IT |
| Kind | Internship (N) |
| Language of instruction | German |
| SWS | 0 |
| ECTS Credits | 16 |
| Examination character | immanent |
Lecture content:
Insight into the applied work and production tasks, as well as into the operational and social environment. The tasks in the company must be relevant to the focal points of the course, should be carried out in relation to a project and should be designed such that the agreed tasks can be carried out and documented within the stipulated time. Documentation and presentation of the tasks.
Superior module:
Professional Placement
Module description:
Students participate in an internship (360 hours) in the 6th semester at a professional firm and apply knowledge and skills in core programme related tasks. They gain experience in development and production techniques, as well as social interactions in a work environment. The supervised project work is completed, documented and confirmed by the company management and must be designed such that it can be carried out and documented within the stipulated period. Part-time students are able to fulfil this requirement at their work place if proven that they carry out tasks related to the content of the degree programme.
| Legend | |
| Semester | Semesters 1, 3, 5: courses held only in winter semester (mid-September to end of January), Semesters 2, 4, 6: courses held only in summer semester (mid-February to end of June) |
| SWS | weekly contact hours over 14 weeks in semester (example SWS 2 equals 28 contact hours for the whole course |
| ECTS Credits | Work load in ECTS credits, 1 ECTS credit equals an estimated 25 hours of work for the student |
| INTL-Code | Indicates categories for incoming students 5: offered in English on a routine basis 4: offered in English if a specified number of incoming students attend (usually 3) 3: taught in German but support material in English, exams can also be taken in English, active support from a student buddy 2: taught in German, incoming students require sufficient German proficiency to follow class 1: not available for incomings |
| Type | BP = Bachelor final exam DP/MP = Master final exam IL = Lecture with integrated project work IT = Individual training/phases LB = Lab (session) PS = Pro-seminar PT = Project RC = Course with integrated reflective practice RE = Revision course SE = Seminar TU = Tutorial UB = Practice session/Subject practical sessions VO = Lecture |