Erasmus and Incoming Students

Applied data analysis (3 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5ADAIL

Content: The students deal with the interface between IT and management and develop prototype applications of the techniques from the field of data mining (the conversion of data into information) for decision and prognosis processes. Opportunities, technologies and framework conditions for data mining are developed as examples, by means of prognoses for the customer behaviour. The students are therefore able to develop concepts for a centralised data management and to design a clearly regulated acquisition, maintenance and utilisation management and to implement this with modern tools.

Business Informatics and Digital Transformation Bachelor (5^th Semester) |Academic year: 3

Course code: ITSB5DAPIL
Course Content: Introduction to Python. Functions, classes and exceptions, simple I/O and the most important stand-ard modules. Python IDEs and frameworks for computation (partly cloud based), special tool-boxes (pandas, matplotlib, numpy, scipy, scikit-learn) and scripting of these, implementation of classical explorative data analysis and presentation of results, tSNE or geo-plots, presentation of signals and images. Outlook: Exporting data and graphics, crawling data from the internet, building datasets, simple GUI elements.

Students are able to solve problems that they know from other programming languages using Python. They can create stand-alone scripts as well as notebooks and know about the advantages and disadvantages of both. Students know the different libraries and frameworks for analysing data various data and can use these applications to read, clean, process and display data. They know the different categories of data and how they can be visualised. Students know about the components of data sets and can easily write programs that collect data from the internet or devices.
Prerequisites: Students are familiar with object oriented programming (e.g. C++, Java, …) and know about basic algorithms and data structures.

Digitalisation & sales (3 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5DIVIL
Content: The objective of the course is to understand which opportunities and risks occur through the digitalisation of offers and newly arising sales channels or what added customer value can be achieved through digitalised interaction models (eCommerce). The new internal company processes or requirements for resources and skills arising through data-driven sales structures will be discussed. Students will learn the innovative and process-oriented use of new technologies within the scope of fundamental decisions in sales strategy. Further topics include technologies and techniques in mobile and electronic commerce, analysis of the requirements for content, structure and technology (requirements engineering), web-controlling and implementation support for mobile and electronic commerce platforms.

Entrepreneurship (2 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5ENTIL

Content: The focal point of the course lies with the planning and development phase of founding ideas. In addition, parameters and criteria for assessing the ideas are presented. The students are accompanied through a systematic analysis and evaluation process of business ideas and business models. Conditions of resource acquisition for realising business ideas are discussed. Theoretical constructs of entrepreneurial thinking (who actually is an entrepreneur and what distinguishes them as such) serve as the basis. In addition, it is necessary to check whether an entrepreneur must always invent something anew, or whether they can fall back on the existing and present this to the market in a new arrangement, in a sense making a profit through diverse "new combinations" (J.A. Schumpeter). The objective is now to incorporate the knowledge gained within the course of study into the student's own thought processes in a critical manner but also in practical terms. There should likewise also be space for business ideas in this presentation. On the one hand, so-called business plans should be generated, but should also be critically examined. This area should clarify the market-oriented section of this course and should also allow the potential for "marketable entrepreneurs" to arise from pure "developers".

IT Management and IT Security (2 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5MSEIL

Content: IT portfolio as strategic controlling instrument; products and services calculation "service level agreements", service level management, strategic IT controlling; IT billing; resource planning and capacity management; TCO analysis; procurement management; IT departments and organisation structures; IT in/out-sourcing; knowledge management, ERP systems (SAP), IT governance (Sarbanes-Oxley Act, BASELII, legal provisions), ITIL (optional: ITIL foundation certification), T-finance management, ISO17799 and ISO20000, change management, problem management (help desk), security management, life-cycle management, disaster-recovery measures; backup/restore plans; emergency planning. Basic principles, information-risk management, information and data classification, national and international information security standards and frameworks (e.g. ISO27000, IT basic protection), cyber security strategies, security life-cycle, security policies/standards/guidelines/procedures, access control models, cloud security, industrial control systems (ICS), ethical hacking and penetration testing, IT and malware forensics, incident handling and computer emergency response team (CERT), special legal bases and legal characteristics from the telecommunications laws and data protection laws, patent law.

IT Project, Bachelor thesis 1 and Accompanying Seminar (5 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5BA1SE

Content: Bachelor thesis 1 encompasses a field and topic oriented appraisal of knowledge attained during the course. The subject matter is the subject area of business information technology in particular, whereby a technical project with a business problem will be worked through by the students. This processing will be implemented in accordance with the basic principles of the scientific working course. Presentation and reflection on the work progress, "defence" of the work in front of course leaders and colleagues.

IT Security Engineering (3 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5ISEIL

Content: Classification of IT security, tasks of IT security, basics of cryptography, cryptographic algorithms and protocols, security engineering algorithms and protocols, security protocols in practice, security engineering, evaluation of security, security in a company context, basics of security management; Implementation of security policies, types of attacks, structure of basic security mechanisms (firewalls, encryption, authentication, logging, etc.)

Open Innovation (2 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5OINIL

Content: The objective of this course is to understand how digitalisation in the innovation management influences the development of new business models in the digital economy as well as the process of innovation development and management (keyword: innovation lab). The students understand the huge challenge of being active across all areas, to permit the clash of different corporate cultures and to accept it as a potential for change within the company.

Software Design VO & LB (5 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5SWDVO +  WINB5SWDLB

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.

Strategic Management 1
Semester 5 | Academic year: 3 | Course code: WINB5UF1IL

Content: 

The course provides an introduction to the logic of strategic management from the perspective of scientific theory and its practical application. It provides an understanding of the methodical research approaches and paradigms of strategic management and, building on that, focuses on critical reflection and use of the tools and techniques of strategic management in heuristic and hermeneutic ways. The contents in detail:

1. Characteristics of successful companies

2. The strategic planning process

3. Market and resource-oriented approach, core skills

4. Analysis of the environment and company: Analysis of the global environment and regulatory groups Market analysis Competitive analysis Value chains and business system SWOT analysis Strategic groups Analysis of supplier relationships Company analysis

5. Forecasting and strategic foresight, definition, significance, and goals of strategic foresight, vulnerability and opportunities workshop, scenario technique, discontinuities survey, cross-Impact Analysis

6. Comprehensive company appraisal and portfolio management, core problems in strategic planning; The Experience Curve Concept; The Profit Impact of Market Strategies (PIMS) Study, determinants of company success, market share / market growth portfolio, market attractiveness / business segment portfolio, further portfolio models, possibilities and limitations of portfolio appraisals

7. Derivation and development of strategies, categories of strategic decisions, central conception according to Porter, planning approaches and basic orientations, management tools in the development of strategies, knowledge management Benchmarking Business

8. Strategy implementation and Balanced Scorecard.

Scientific Working Methods (2 ECTS)
Semester 5 | Academic year: 3 | Course code: WINB5WIAIL

Content: Overview of scientific theories, composition and structure of a written scientific work, topic identification and development, elements of scientific work (hypotheses, definition, theory, conceptualisation and implementation), sources for systematic acquisition of knowledge (state-of-the-art technology and method selection, literature study, introduction of qualitative and quantitative methods), individual knowledge management, best practice examples.