Erasmus and Incoming Students

Courses available in English for Exchange Students of the Master Degree Programme Information Technology and Systems Management

Here you can find an overview of courses that the Information Technology and Systems Management Programme offers in English for incoming exchange students in the fall/winter semester for Master students (2nd cycle). Our exchange semesters are only offered in the fall/winter.

For further information on academic issues and provisional learning agreements, please contact the international coordinator of the Information Technology and Systems Management Programme, Eva Lienbacher (eva.lienbacher@fh-salzburg.ac.at).

For administrative issues please contact the Incoming Students Coordinator at the International Office (international@fh-salzburg.ac.at).

Additional cultural and language courses are offered by the International Office.
 

List of classes: Fall Semester 2019/20

Information Technology and Systems Management Master (1st Semester)
Academic year: 1 | Course code: ITSM1APSIL

Course content: Summary of applicable professional texts and scientific articles and their preparation for verbal presentation, target group oriented and emotionally appealing presentation techniques, use of rhetorical techniques, story-boarding and storytelling.

Applied Image and Signal Processing Master (1st Semester)
Academic year: 1 | Course codes: AISM1DSPPT + AISM1DSPIL

Course content: Theory of discrete signals and systems: discrete Fourier transformation (FFT), power density spectrum, discrete convolution and correlation, interpolation, implementation in Matlab and C
z-transform, z transfer function, stability and frequency response of discrete systems, discretisation of continuous systems (bilinear transformation, impulse invariant transformation)
Digital filters: principle and design of FIR filters, simulation with simulation tools (e.g. Matlab), principle and design of IIR filters, filter implementation in Matlab and C.

Applied Image and Signal Processing Master (1st Semester)
Academic year: 1 | Course code: AISM1HOSIL

Course content: Signal acquisition, sensors, signal amplifiers, digital-analog-converters (DACs), types of DACs, analog-digital-converters (ADCs), ADC-types and architectures, measurement devices and -systems, measurement and analysis of signal properties.

Applied Image and Signal Processing Master (1st Semester)
Academic year: 1 | Course code: AISM1STMIL

Course content: Selected chapters from analysis, algebra, numerics are presented theoretically and implemented by the students with the help of Matlab: Multidimensional differentiation and integration, vector spaces with inner product, length and angle measurement, metrics, eigenvalue theory and matrix decomposition; convex optimisation: processes and concepts (gradient de-scent, linear/quadratic programming and duality, least squares and regularisation)

Prerequisites: Basic (one-dimensional) real and complex Analysis and Algebra

Applied Image and Signal Processing Master (3rd Semester)
Academic year: 2 | Course code: AISM3DMGIL

Course content: Special applications or topics related to knowledge discovery and big data: Introduction and overview of big data applications, related issues and methods; MapReduce; Merging of data sets; Analysis of text data: natural language processing, tokenization, Boolean information retrieval, term vocabulary and postings lists, phrase queries, wildcard queries, spelling correction, tolerant retrieval, ranking of search results using the vector space model; Outlook: special topics not covered so far; Analysis of graphs or links: e.g. PageRank; Analysis of distances or similarities, Finding of representative examples: spectral clustering, affinity propagation; Analysis of data sets with mixed data types: e.g. decision trees, graphical models; Visualization and dimension reduction using SOMs, LLE, Isomap, growing neural gas algorithm; Special applications: Frequent itemset mining and association rules, finding similar data, recommender services.

Prerequisites: Basic command of linear algebra, calculus, probability and statistics. Also, procedural programming is needed, preferably using matlab

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3BDEIL

Course content: Paradigms and characteristics of big data computing; Architectural models for data-intensive applications; Overview of common big data frameworks; Concept overview of crowdsourcing, data fusion and data integration; Cloud-based infrastructures for data-intensive software development; Real-time delivery of results from big data analytics; Programming techniques for data-intensive applications, implementation of case studies; Selected topics in big data computing.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3UFGIL

Course content: Introduction to corporate governance and management, leadership theories, leadership styles, management functions / tasks management process / systems target systems, planning, decision-making, organising, leading, controlling, management processes - application with examples of corporate development; Discourse regarding leadership models (transactional, transformal), leadership theory, fundamentals of leadership, differentiation Leadership and Management, Leadership levels, leadership on team and organisational level, strategic leadership. Outcome assessment, application of performance measurement systems; realisation and chances of success, change management, business development, lean management, human resource management, time management, coordination and conflict management, modern management approaches, foundation management, virtual business, developing a business idea, development of a business plan, implementation of innovative simulation games ("Apollo 13," "target SIM").

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3ERPIL

Course content: Integration and practical implementation of Enterprise Resource Planning (ERP) into company's existing resources (capital value, equipment or personnel); most efficient way for daily operations and optimization of the management of business processes. The discussion will differentiate between the technical orientation (target sector), the scalability and the different company sizes (number of required users or company locations). Also the range of functions, the upcoming technologies (databases, programming languages, layered architectures, operating systems) are supported in the practical implementation with a structured approach to a real ERP system; a certification is offered as an option.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3BIVIL

Course content: Features of industrial image processing and optical quality control, medical imaging modalities (radiography, CT, MRT, ultrasound), medical image data (DICOM) and software tools, image enhancement (grey tone transformations, histogram processing, spatial filtering, Laplace & Gauss filtering), morphological operators (dilation, erosion, closing, opening, hit-or-miss), segmentation (thresholding, adaptive thresholding, Canny, Hough transformation, region growing), form, Fourier and statistical descriptors, Harris detector, basics of interest point detectors and simple features for classification.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3PACIL

Course content: Processes and threads, synchronization of processes and threads, inter-process communication, shared memory, concurrent program, distributed program, concurrent programming, concurrent programming abstraction, consensus; Parallel computing, classification of parallel architectures; Levels of parallelism; Techniques of functional and data decomposition; Parallel systems / hardware; Selected topics in concurrent and parallel computing.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3ROKIL

Course content: Kinematic configurations and components of industrial robots, spatial transformations, DH-Convention, Forward and Backward Kinematics, velocities and static forces at the end effector, Jacobi Matrix, Singularities, Differential Backward Kinematics, Basics of the Newton-Euler Dynamics, practical introduction into robot programming, kinematic simulation in MATLAB.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3ENHIL

Course content: Introduction to issues related to business ethics and sustainability, in particular with the theoretical relationship between business, economics and ethics. The importance of ethical behaviour for the daily business and its impact for the “environment” (e.g. stakeholder) is another priority. Practical case studies are connected with relationships in strategic management. In the discussion of new trends and the resulting challenges for the entrepreneur (for example in the context of "Corporate Social Responsibility") special considerations are given.

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3INMIL

Course content: Building the innovation process and its KPIs, evaluating and prioritizing ideas, advanced methods such as Business Model Generation, Lean Canvas and Blue Ocean Strategies to deepen ideas to the traditional business plan. Trends such as Open Innovation, framework conditions for successful innovations, Lean StartUp process vs. "traditional" product development - advantages and disadvantages.

Prerequisites: Ecomomics & Management Bachelor-Basics

Information Technology and Systems Management Master (3rd Semester)
Academic year: 2 | Course code: ITSM3COSIL

Course content: Basics of perceptional psychology relevant for intercultural communication, definition of intercultural interactive and communications skills, interaction cases, practical application through interaction games and exercises.

Applied Image and Signal Processing Master (3rd Semester)
Academic year: 2 | Course code: AISM3PMTIL

Course content: Planning of product innovation: project definition, task structure, quality assurance, work packages, organisation, roles, phases, milestones/results, flow chart, multi-project control; implementation and controlling: conflict line/project, progress monitoring, prognosis, risk analysis, reporting system, qualitative and quantitative evaluation, documentation, software models and tools; social skills: teamwork, challenge, expectation, self-organisation, moderation, feedback, management styles, roles within a team, coaching of projects.

Applied Image and Signal Processing Master (3rd Semester)
Academic year: 2 | Course code: AISM3PRGIL

Course content: Pattern recognition process (data preprocessing, feature extraction, feature reduction, classification); training, validation and testing data (sampling, crossvalidation); performance evaluation; Support Vector Ma-chines (classification, regression, multiclass classification, one-class SVMs), introduction to decision trees.

Prerequisites: Basic command of linear algebra, calculus, probability and statistics. Also, procedural programming is needed, preferably using matlab.

International Departmental Coordinator

Porträt von: FH-Prof. Mag. Dr. Lienbacher Eva
FH-Prof. Mag. Dr.
  • Senior Lecturer, Betriebswirtschaft
  • International Departmental Coordinator, Informationstechnik & System-Management
  • Senior Lecturer, Informationstechnik & System-Management
  • International Departmental Coordinator, Applied Image and Signal Processing
Standort: Campus Urstein
T: +43-50-2211-1133
E: eva.lienbacher@fh-salzburg.ac.at