Computer Science

Course content: Logic, sets, relations and functions, combinatorics, algebraic structures, number theory and modular arithmetic, basics of graph theory

Course content: Elementary data types; algorithmic thinking(computational thinking); imperative programming (assignment, conditional statements, loops); functions (static methods, parameters, return values, recursion); arrays; memory organisation, visibility and lifetime of variables; debugging and testing; classes, constructors, methods and attributes in Java as basic concepts of object orientation; introduction to UML (class and sequence diagrams, if applicable)

Course content: Number and character representation (number systems, positive and negative integers, ASCII/UNICODE); basics of digital technology (truth tables, Boolean functions, switching networks, normal forms); logic and arithmetic (simple switching networks up to ALU); memory(latch/flip-flop, automata theory); Introduction to computer architecture (machine types, von-Neumann/Harvard, RISC/CISC); structure and function of a simple computer; assembly language programming; elements of modern computers and processors such as caches, RISC/CISC, SIMD, pipeline, superscalarity, parallelism

Course content: History and basic concepts of computer science; general learning and solution strategies in computer science; basics of planning, implementation and documentation in computer science; communication and division of labour in a team; personal responsibility and motivation
 

Course content: Basic situations in the business world, e.g.: Introducing a company, payment terms, complaints and advertising/sales; using aids such as grammars, Internet sites, bilingual and monolingual dictionaries and specialised vocabulary to cope with linguistic tasks

Course content: In terms of content, this module covers core topics of linear algebra, in particular: Vector spaces and their structure; vectors and linear mappings as basic elements of linear algebra; multiple representations and algebraic description of these elements, in particular of linear mappings by matrices; important linear mappings (including scalar products, geometric operations); core concepts of linear algebra (including linear (in)dependence, linear combination); important properties of linear mappings (including rank, kernel); linear systems of equations: Algorithms for solving, criteria for solvability; plus links to a selection of application areas (e.g. image and image processing, programming, data compression)

Course content: In-depth object orientation (inheritance, abstract classes, interfaces; polymorphism and dynamic binding; modelling of associations between classes in UML; OO design principles); exception handling in Java (context of exception handling, checked and unchecked exceptions); genericity (generic classes and methods, type parameters); collections in Java (the limits of arrays, collection interfaces, use of collections); stream-oriented I/O in Java (e.g. file I/O, object or socket streams); lambdas and streams; threads; selected Java libraries (e.g. for programming graphical user interfaces, networking).E.g. file I/O, possibly object or socket streams); lambdas and streams; threads; selected Java libraries (e.g. for programming graphical user interfaces, network connections, database connection); case study (realising practical tasks against unit tests)

Course content: Algorithm concept (algorithm, determinism, finiteness, etc.); approaches to algorithm design; complexity; searching and sorting; dynamic data structures: list, tree, hash table; graphs and networks, algorithms for spanning trees, Dijkstra, A*

Course content: Operating system architectures and concepts; processes and threads, scheduling; memory management; file systems; synchronisation and communication; input and output, interrupts, devices; virtualisation; introduction to the practical use of Linux (e.g. file and directory management, input/output redirection, processes); operating system programming

Course content: Basic concepts and tasks of a database management system; database design (ER modelling / normalisation); basics of relational databases; Structured Query Language (SQL); views, permission management, integrity; transaction management; applications with databases

Course content:
Core: Methods and diagrams for structural, architectural and behaviour description; process models (MDA, MDD, ...); model-based code generation
Application context of mechatronic, embedded systems: networked systems; C and C++ programming, differences in programming concepts; discrete-event systems; introduction to SysML
Application context object-orientated systems: Description of object-oriented systems' state and behaviour; Java as an implementation language; Logical specification language OCL; BPMN for business process modelling

Teaching content: Functions, multiple representations of functions, important classes of functions and their properties (including continuity, symmetry), important functions (including polynomials, exponential functions, trigonometric functions and their inverse functions); sequences and series, convergence, limit value; differentiation, integration, their properties and associated calculation methods, conceptual significance of differentiation (rate of change) and integration (cumulative change) for applications in science and technology; cross-thematic: computer-aided calculation methods

Course content: Terms in the context of software projects; procedure and process models in software development, in particular agile management; project planning and controlling; risk management; introduction to quality assurance and testing; modern tools to support various development activities; patterns in object-oriented design

Course content: ISO/OSI layer model: data link layer, Ethernet / WLAN; network layer, IPv4 and IPv6, addressing at the network layer, ICMP, ARP, routing; transport layer, TCP and UDP, addressing on the transport layer; application layer, HTTP, EMAIL, DNS 

Teaching content: Alphabets, words, formal languages; finite automata and non-determinism; regular expressions and languages; context-free grammars and languages, pushdown automata; distinction between regular and context-free languages, pumping lemmas; loop/while/goto computability, Turing machines and computability; decidability, undecidable problems, Rice's theorem

Students can choose whether to study programming in C and C++ or Web Development.

Depending on the chosen specialisation, one of the following modules is taken:

Software Engineering specialisation: Additional Programming Paradigm (5 CP)
Specialisation in Data Science: Statistics (5 CP)
Specialisation in IT Security: Introduction to IT Security and Privacy (5 CP)
Specialisation in Systems & Computer Engineering: Systems and Control Engineering (5 CP)


 

Course content: Students work on a typical software development projectin a team from definition of requirements to delivery. Students apply the course content, particularly from the programming and software engineering courses, using a practical example. Students also develop their soft skills in order to organise their work in a team and resolve any conflicts that arise. In periodical project meetings, the project supervisor from the university or company takes on the role of product owner, with whom open questions are clarified and to whom the project status is reported.

Course content: Based on the teaching content of Software Engineering 1 (focus on learning and implementing an agile development process), the phases of software engineering from requirements definition to maintenance are further discussed: classic and modern process and procedure models (waterfall, RUP, SaFE, DevOps) and their artefacts; requirements analysis, including non-functional requirements; software architecture patterns; design and evaluation of software architectures; testing with a focus on non-functional requirements, acceptance tests; delivery, operation, maintenance of software and the associated infrastructure (virtualisation)

Students select compulsory elective modules (WPF) with in total 10 CP from the following catalogues:

• From the modules of the Bachelor's degree programme inComputer Science:
  - Modules from the specialisations
  - Compulsory elective modules Programming (WPP)
  - Compulsory elective module Interdisciplinary Skills
  - Compulsory elective modules in Computer Science
• Subjects from the Bachelor's degree programmes of other faculties (on application)

Depending on the chosen specialisation, one of the following modules is taken:

Specialisation in Software Engineering: Quality Assurance and Testing (5 CP)
Specialisation in Data Science: Data Engineering (5 CP)
Specialisation in IT Security: Fundamentals and Applications of Cryptography (5 CP)
Specialisation in Systems & Computer Engineering: Sensor Technology and Embedded Systems (5 CP)

Students can choose one of several mandatory elective modules in their specialisation from a current list.

Course content: Literature research; writing a scientific paper, scientific writing; presentation in form of a scientific lecture; students choose their topic from given current topics in computer science, prepare a written paper, present the topic and discuss the topic in a group
 

Students take one of the following subjects: Business Administration, IT Law, Rhetoric and Reasoning, Project Management, Computer Science and Democracy

Students select compulsory elective modules (WPF) with in total 10 CP from the following catalogues:

• From the modules of the Bachelor's degree programme inComputer Science:
  - Modules from the specialisations
  - Compulsory elective modules Programming (WPP)
  - Compulsory elective module Interdisciplinary Skills
  - Compulsory elective modules in Computer Science
• Subjects from the Bachelor's degree programmes of other faculties (on application)

Depending on the chosen specialisation, one of the following module is taken:

Software Engineering specialisation: Software Engineering Project (5 CP)
Specialisation in Data Science: Introduction to Machine Learning (5 CP)
Specialisation in IT Security: Network Security (5 CP)
Specialisation in Systems & Computer Engineering: Dependability and Systems Engineering (5 CP)

Students can choose two of several mandatory elective modules from a current list of their specialisation.

Course content: Become acquainted with a company's practice and structures; independent work on and documentation of a complex, longer-term project or part of a project related to computer science; preparation of a case study as proof of the knowledge acquired or project worked on as a scientific paper

Independently working on and documention of a scientifically based project related to computer science, thereby independently deepening existing theoretical knowledge