MultiMediaTechnology
Agile Project Management
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1APMVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1.5 |
| Examination character | final |
Learning Outcomes:
Alumni can explain the development, philosophy and basic content of agile methods and assess which of these methods are suitable for use in a given pro-ject. Alumni know the roles, artefacts and events of Scrum and are able to use them in agile projects at scrum master level.
Superior module:
Personal & Social Skills 1
Module description:
-
Data Analysis
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1DAAIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni know basic methods of data analysis and have applied them to data from practical studies. Alumni can critically evaluate analytical results and predictive models. Alumni understand significance testing and can use p-values to evaluate ana-lytical results.
Superior module:
Scientific Methods 1
Module description:
-
Digital Ideation
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1DIDIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni name different tools and methods of design thinking. Alumni use these tools for creative processes and for evaluating ideas (e.g. de-sign critique) and are able to apply them correctly in a given situation. Alumni practice the tools in the course "Project 1: Concept & Pitch".
Superior module:
Digital Ideation & Prototyping
Module description:
-
Diversity in Tech
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1DITSE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | final |
Learning Outcomes:
Alumni know the approaches of diversity management and various IT-specific initiatives. Alumni are aware of the problem of a lack of diversity in the IT sector and in the application areas of games and the web and know theoretical models and influenc-ing factors. Alumni articulate and justify their own position on diversity in group discussions. Alumni are sensitised to the responsible promotion of digital inclusion and di-versity in user groups and in the use itself. Alumni are sensitised to the safe and responsible use of data and in the promo-tion of digital inclusion and diversity in user groups.
Superior module:
Personal & Social Skills 1
Module description:
-
Facilitation and Efficient Meetings
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1FEMIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni know how to plan and organise meetings efficiently. Alumni apply appropriate facilitation techniques to achieve set meeting objec-tives. Alumni can deal with different types of behaviour and master disruptive factors to create a constructive group dynamic.
Superior module:
Personal & Social Skills 1
Module description:
-
Innovation Workshops
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1IWOIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni reflect on and evaluate a given problem from the fields of art, culture, me-dia, society and technology. Alumni test their reflection and argumentation skills based on the topics of the impulse workshops. Alumni present and discuss the insights gained in the workshops with peers and stakeholders.
Superior module:
Digital Ideation & Prototyping
Module description:
-
Lightning Talks
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1LITIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni will broaden their knowledge of current and relevant issues in the arts, culture, media, society and technology, and will be able to identify relevant ques-tions.
Superior module:
Digital Ideation & Prototyping
Module description:
-
Project 1: Concept & Pitch
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1PROPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1.5 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni apply the tools from the Digital Ideation course and prototype individual ideas for further analysis. Alumni work on the iterative refinement of ideas for their Project 1 by critically re-flecting on the feedback received from the peer group and coaches. Alumni present their overall concept in the form of a pitch at the end of the se-mester and convince a jury of the relevance of the chosen topic. Alumni develop a treatment written according to professional standards and a resource plan for the planned Project 1.
Superior module:
Digital Ideation & Prototyping
Module description:
-
Rapid Prototyping
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1RAPEU |
| Type | UB |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni implement ideas from ¿Project 1: Concept & Pitch¿ in the form of software prototypes and evaluate the results for applicability and further development. Alumni explore relevant programming languages and modern software frame-works from the areas of Game & Simulation Engineering or Web Engineering for the implementation of individual prototypes. Alumni use methods such as pair programming for the collaborative develop-ment of software prototypes.
Superior module:
Digital Ideation & Prototyping
Module description:
-
Symposion on Ethics and Sustainability
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1SESIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni analyse and reflect on ethical-moral dilemmas. Alumni evaluate opinions from a lecture in their own context of action. Alumni argue social issues with a view to their own professional environment. Alumni articulate and justify their own opinion in the group discussion.
Superior module:
Personal & Social Skills 1
Module description:
-
Advanced Gameplay Programming
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1AGPIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni explain and discuss methods, concepts and algorithms for Game AI. Alumni evaluate and implement methods, concepts and algorithms for Game AI for game types. Alumni utilize AI tools of current commercial engines (e.g. Unity, Unreal). Alumni utilize basic machine learning tools in existing engines (e.g. Unity) for Game AI.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 1
Module description:
-
Applied Games
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1APGIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni use various input and output modalities in applied game settings. Alumni apply game concepts and technologies to specific, also socially relevant, problems. Alumni apply game concepts and approaches to playfulness to various application contexts. Alumni apply a methodological approach to realize context-specific game de-signs and discuss benefits and effects of applied games.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 1
Module description:
-
Multiplayer & Online Gaming
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1MOGIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni explain the necessary steps to realise different types of online games. Alumni design and implement software components of multiplayer/online games. Alumni explain basic techniques in the field of cloud gaming/computing. Alumni have an overview of the management of online users and their data (user management, cloud saves), the balancing of groups of players (match-making, game balance) and security-relevant aspects in order to both protect user data and enable fair joint gaming (anti-cheat mechanisms).
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 1
Module description:
-
Applied Programming Paradigms
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1APPIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni describe the difference between machine language and higher program-ming languages. Alumni explain the role and use of WebAssembly in the modern web. Alumni understand basic programming paradigms and their practical use in web develop-ment. Alumni identify and use declarative, functional, object-oriented, and procedural aspects of a programming language. Alumni understand the role of syntax in compilers and interpreters.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 1
Module description:
-
Distributed Software Architectures
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1DSAIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni identify and describe the functional and non-functional requirements of a distributed application. Alumni effectively use (distributed) software architectures to meet the given requirements. Alumni evaluate the advantages and limitations of using cloud services to implement distributed applications. Alumni plan and implement a distributed application.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 1
Module description:
-
Web Performance Optimisation
| Semester | 1 |
|---|---|
| Academic year | 1 |
| Course code | MMTM1WPOIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni discuss the role of performance in green computing and sustainability. Alumni use appropriate tools to diagnose performance problems in web applica-tions at different levels: server, network, and browser. Alumni are familiar with optimisation strategies for all three areas and apply them in all three areas. Alumni take measurements and evaluate them using statistics and visualisations. They create test programs to reproduce performance issues.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 1
Module description:
-
Ethics in Informatics
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2EIISE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni know professional ethics, ethical guidelines of different relevant profes-sional associations. Alumni know case studies regarding ethical and social issues and can discuss them. Alumni know the social effects of digital technologies, can analyse and critically reflect on them. Alumni know common procedures of ethics applications in the context of higher education.
Superior module:
Personal & Social Skills 1
Module description:
-
IT Law and Data Protection
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2ITLVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | final |
Learning Outcomes:
Alumni name central elements of data protection and can explain them. Alumni name central sample contracts in the IT sector. Alumni analyse data protection and IT-legal processes considering technical, legal and business requirements. Alumni can apply the acquired knowledge to selected case studies and argue legal implications.
Superior module:
Personal & Social Skills 1
Module description:
-
Innovation Coaching (Impact)
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2INCIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni expand their knowledge and skills to systematically assess the market opportunities of their Project 1. Alumni recognise what an opportunity is and can evaluate an idea as objectively as possible. This enables them to minimise the risk of innovation at an early stage and increase the probability of success of an innovation.
Superior module:
Project 1
Module description:
-
Project 1: Implementation
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2PROPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 9 |
| Examination character | immanent |
Learning Outcomes:
Alumni have specific knowledge and skills in the planning and implementation of ambitious and innovative multimedia projects using state-of-the-art technology. Alumni argue the tools and frameworks chosen for the technical implementation considering economic aspects. Alumni apply methods of agile project management to achieve the development of a minimum viable product (MVP) in the field of web engineering or a vertical slice in the field of game & simulation engineering in a planned manner. Alumni present the project (interim) result professionally and, if necessary, design a further development plan for the project in the third semester.
Superior module:
Project 1
Module description:
-
Project Reflection 1
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2PRRRC |
| Type | RC |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni can name and analyse their own role in the team, in communication, in conflict, draw conclusions and adapt their behaviour. Alumni know about the group-dynamic aspects in teamwork and can analyse and consciously shape these based on their project work. Alumni reflect on their teamwork based on concrete project experience, recognise problems/conflicts in the team and are familiar with the corresponding tools and methods to deal with them and solve them constructively. Alumni are aware of the importance of dealing with resource bottlenecks, the communicative integration of the relevant stakeholders, the building of trust and a culture of responsibility in dealing with each other.
Superior module:
Project 1
Module description:
-
Research Methods & Study Design
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2RMSIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni deal in depth with appropriate research, referencing and evidence methods regarding different types of research questions. Alumni can formulate suitable research questions and hypotheses for a con-crete problem based on concrete questions. Alumni know different types of research questions and their ways of answering them. Based on an overview of different qualitative and quantitative research methods, alumni know different types of research questions (descriptive vs. comparative vs. relational research questions) and the corresponding research contributions (empirical, system-based, methodological, theoretical, design-based). Alumni can answer these questions in a concrete methodological process us-ing self-developed study designs.
Superior module:
Scientific Methods 1
Module description:
-
Efficient Game Programming
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2EGPIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni discuss optimisation possibilities in games or game engines in relation to low-level featuers (e.g. ECS, memory management) Alumni use optimisation options in a targeted way to optimise the performance of a game Alumni define, collect and analyse telemetry data to target optimisation measures. Alumni use different profiling tools from commercial engines to analyse perfor-mance.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 2
Module description:
-
Games User Research
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2GURIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni discuss the basic principles of games user research. Alumni plan and conduct playtests in a methodologically sound manner. Alumni explain and use various methods of games user research. Alumni explain the difference between expert evaluations and player evaluations.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 2
Module description:
-
Physics-Based Simulation
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2PBSIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni have an overview of concepts of physics-based simulation including mathematical formulations of problems. Alumni explain and discuss advanced concepts and techniques of physical real-time simulations and choose the appropriate methods to implement physical effects. Alumni design and implement components of a physical real-time simulation. Alumni explain concepts of physically-based rendering.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 2
Module description:
-
Software Quality Assurance
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2GSQIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni explain and discuss quality assurance methods for games. Alumni identify and apply appropriate quality assurance methods for various use cases. Alumni ensure good code quality through appropriately selected quality assur-ance measures. Alumni have an overview of and utilize quality assurance methods and tools of commercial game engines.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 2
Module description:
-
Continous Delivery
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2CODIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni describe the aims of continuous integration. Alumni set up and maintain a CI/CD pipeline. Alumni set up test automation as part of the CI/CD pipeline. Alumni chose different deployment strategies, including cloud, on-premise, and container/virtualisation, based on their particular use case. Alumni use infrastructure as code (IAC) to manage and provision infrastructure automatically, rather than through manual configuration. Alumni use current methods to manage and track the dependencies of a software project and to manage configuration files and settings for a software project.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 2
Module description:
-
Frontend Engineering
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2FENIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni are familiar with current architectures for complex frontend applications, including Micro-Frontends and server-side rendering of the frontend. Alumni use web standards and web components independent of a particular framework. Alumni use modern CSS and current tools to implement a design system into re-usable components.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 2
Module description:
-
Software Quality Assurance
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2WSQIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni explain and discuss quality assurance methods for web. Alumni identify and apply appropriate quality assurance methods for various use cases. Alumni ensure good code quality through appropriately selected quality assurance measures. Alumni develop a testing strategy for a web application and implement it.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 2
Module description:
-
Web User Research
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2WURIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni apply methods for collecting and analysing data about the online behavior of web users to understand how web users interact with a particular website, what they are looking for, and to identify areas for improvement.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 2
Module description:
-
Generative AI
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2GAIIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have theoretical knowledge in the field of processing, analysis and generation of multimedia data. Alumni have an overview of trends in the field of Generative AI and practical knowledge in generating multimedia data. Alumni learn how to deal with technologies that have a high future social or economic impact, and how to use tools to prevent the misuse of these technologies.
Superior module:
Wahlpflicht 2 / Electives Summersemester
Module description:
-
Information Visualisation & Visual Analytics
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2IVVIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni describe the field of information visualisation, its history, purpose, and key concepts. Alumni select and implement methods for representing and encoding data in visual form, including the charts, graphs, maps, and other types of visualisations. Alumni create visual analytics to enable the analysis and interpretation large data sets.
Superior module:
Wahlpflicht 2 / Electives Summersemester
Module description:
-
Mixed Reality Technologies
| Semester | 2 |
|---|---|
| Academic year | 1 |
| Course code | MMTM2MRTIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have an overview of current state-of-the-art approaches and technologies for AR/VR hardware and applications. Alumni explain basic technical and human-centred concepts of AR/VR and consider them in the design of AR/VR applications. Alumni design, implement and evaluate AR/VR applications for current platforms.
Superior module:
Wahlpflicht 2 / Electives Summersemester
Module description:
-
Innovation Coaching (Business)
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3INCIL |
| Type | IL |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni sharpen their knowledge of the industry and market and are able to formulate and present an appropriate business case to a target audience.
Superior module:
Project 2
Module description:
-
Master Thesis Seminar 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3MTSSE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni know relevant conferences and journals relevant to the topic of the master's thesis. Alumni have a deeper understanding of qualitative and quantitative research designs. Alumni know the procedure for writing a scientific paper at the level of a master's thesis. Alumni present their research design for the master's thesis and engage in peer group scientific discourse. Alumni argue relevance, research question(s), hypothesis(es) and research design in an exposé for the master's thesis.
Superior module:
Scientific Methods 2
Module description:
-
Project 2: Concept & Implementation
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3PROPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 8 |
| Examination character | immanent |
Learning Outcomes:
Alumni are able to conceptualise projects and have specific knowledge and skills in planning, organising and delivering ambitious and innovative multimedia projects. Alumni may extend the minimum viable product or vertical slice from the 2nd semester towards a "feature-complete" and quality-checked prototype. Alumni may contribute to the implementation of research projects in the programme.
Superior module:
Project 2
Module description:
-
Project Reflection 2
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3PRRRC |
| Type | RC |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni reflect on their current project work and their team situation and recognise problems and conflicts. Alumni are aware of their resources and know how to activate them. Alumni master tools and methods for solution-oriented work and establish an appreciative communication and feedback culture in the project team.
Superior module:
Project 2
Module description:
-
Sustainable Computing
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3SUCSE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni are familiar with aspects of sustainability in informatics and take these into account when designing and implementing IT systems so that they are ecologically and socially compatible and at the same time meet economic requirements. Alumni are sensitised to the safe and responsible handling of data and in the promotion of digital inclusion.
Superior module:
Personal & Social Skills 2
Module description:
-
Transfer Project 1
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3TRAPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0 |
| ECTS Credits | 1 |
| Examination character | final |
Learning Outcomes:
Alumni make a demonstrable contribution outside their own projects (e.g. pool of all ongoing projects, including research projects) and try out the role of an "outsourcing" employee.
Superior module:
Project 2
Module description:
-
Artificial Intelligence für Games
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3AIGIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni have an overview of AI methods and their use cases in games. Alumni explain and discuss basic AI methods and their applications in games. Alumni select and apply appropriate AI methods for different use cases in games.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 3
Module description:
-
Cross-Plattform Development
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3CPDIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni discuss and explain the specific challenges of developing for mobile platforms and consoles. Alumni implement games for mobile platforms or selected consoles. Alumni optimise games for mobile platforms and selected consoles using appropriate profiling methods. Alumni consider platform-dependent challenges in the development of games for mobile devices and consoles.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 3
Module description:
-
Guest Lecture Game & Simulation Engineering
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3GLGIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 2 |
| Examination character | immanent |
Learning Outcomes:
To be defined depending on the topic.
Superior module:
Wahlpflicht 1 / Major - Game & Simulation Engineering 3
Module description:
-
Data Engineering
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3DENIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have a deep understanding of the concepts and technologies involved in data engineering and choose the appropriate database management system for various application scenarios. Alumni implement their chosen solution and monitor its performance over time.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 3
Module description:
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DevSecOps
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3DSOIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni know how to integrate security controls and processes into the DevOps software development cycle. Alumni are aware of the necessary collaboration between security teams, development teams and operations teams in security matters. Alumni implement DevSecOps in their software development practice,
Superior module:
Wahlpflicht 1 / Major - Web Engineering 3
Module description:
-
Guest Lecture Web Engineering
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3GLWIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1.5 |
| Examination character | immanent |
Learning Outcomes:
To be defined depending on the topic.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 3
Module description:
-
Scalable Web Architectures
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3SWAIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 3 |
| ECTS Credits | 4 |
| Examination character | immanent |
Learning Outcomes:
Alumni are familiar with the concepts and architectures that make web applications scalable. Alumni integrate the knowledge from Distributed Software Architectures, Continuous Delivery, Data Engineering to plan and implement a scalable web application.
Superior module:
Wahlpflicht 1 / Major - Web Engineering 3
Module description:
-
Creative Entrepreneur & Corporate Innovation
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3CECIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni explain and apply the Business Model Canvas. Alumni explain the structure and content of a business plan. Alumni create a business plan for a fictitious business or innovation idea or their own master project.
Superior module:
Wahlpflicht 2 / Electives Wintersemester
Module description:
-
Deep Learning & Explainable AI
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3DLEIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have theoretical knowledge in the field of deep learning and neural networks about traditional and current models. Alumni know the most common frameworks for using deep learning models and have practical knowledge of the implementation of the forementioned models. Alumni interpret deep learning models and evaluate the results. They know the latest developments in the area of Explainable AI.
Superior module:
Wahlpflicht 2 / Electives Wintersemester
Module description:
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Predictive Modelling
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3PMOIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni train models to predict future events. Alumni have evaluated the advantages and disadvantages of different predictive modelling approaches. Alumni select appropriate solutions to selected forecasting problems.
Superior module:
Wahlpflicht 2 / Electives Wintersemester
Module description:
-
Selected Topics in Human-Computer Interaction
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3STHIL |
| Type | IL |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have an in-depth knowledge of theories, methods and interaction paradigms. Alumni can apply the theoretical and practical knowledge to their own work. Alumni can classify and discuss different contemporary research topics within HCI literature.
Superior module:
Wahlpflicht 2 / Electives Wintersemester
Module description:
-
Wahlpflicht 3 [Conference Attendance | Elective Course]
| Semester | 3 |
|---|---|
| Academic year | 2 |
| Course code | MMTM3WP3IT |
| Type | IT |
| Kind | Elective |
| Language of instruction | English |
| SWS | 2 |
| ECTS Credits | 3 |
| Examination character | immanent |
Lecture content:
Students take part in a national/international conference or summer school of their choice. They practise the selection, (travel) organisation and participation in the conference as well as reporting on the knowledge gained at the conference . Alternatively, the degree programme can offer an excursion or students can help to organise a conference. Contents: Types of conferences, conference overview, conference selection, organisation, participation, reporting.
Superior module:
Wahlpflicht 2 / Electives Wintersemester
Module description:
-
Lecture Series: Emerging Technologies
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4LSEVO |
| Type | VO |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | final |
Learning Outcomes:
Alumni have an in-depth insight into the state of the art and research in different areas of computer science, business and society. Alumni actively participate in discussions with domain experts.
Superior module:
Personal & Social Skills 2
Module description:
-
Master Exam
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4MAEDÜ |
| Type | DP |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0 |
| ECTS Credits | 4 |
| Examination character | final |
Learning Outcomes:
Alumni demonstrate their knowledge of subject matter and scientific methodology in a master's thesis defence.
Superior module:
Scientific Methods 2
Module description:
-
Master Thesis
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4MATIT |
| Type | IT |
| Kind | Diploma/master thesis |
| Language of instruction | English |
| SWS | 0 |
| ECTS Credits | 20 |
| Examination character | final |
Learning Outcomes:
Alumni identify and formulate scientifically relevant questions. Alumni are versed in the correct selection of research methodology. Alumni create study designs and conduct studies independently, considering possible ethical implications. Alumni interpret the results of quantitative and/or qualitative studies using valid methods. Alumni communicate the results of their work in writing in English, clearly and in a form that is academically appropriate.
Superior module:
Master Thesis
Module description:
-
Master Thesis Seminar 2
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4MTSSE |
| Type | SE |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 1 |
| Examination character | immanent |
Learning Outcomes:
Alumni defend and reflect the scientific question of their respective master's thesis, as well as the scientific methods used, in a peer group discussion.
Superior module:
Scientific Methods 2
Module description:
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Project Portfolio & Presentation
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4PROPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 1 |
| ECTS Credits | 3 |
| Examination character | immanent |
Learning Outcomes:
Alumni have knowledge and practical experience of exhibiting and/or publishing their projects with accompanying measures (e.g. production of information material, accompanying communication measures, etc.). Student showcase of their project portfolio online.
Superior module:
Personal & Social Skills 2
Module description:
-
Project Reflection 3
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4PRRRC |
| Type | RC |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0.5 |
| ECTS Credits | 0.5 |
| Examination character | immanent |
Learning Outcomes:
Alumni gain experience in accompanying the final phase of team development. Alumni can consciously adopt a meta-perspective on their own and the team's actions, behaviour, communication and interaction in the project. Alumni gain the best possible knowledge from their project and apply this knowledge in a sustainable way.
Superior module:
Personal & Social Skills 2
Module description:
-
Transfer Project 2
| Semester | 4 |
|---|---|
| Academic year | 2 |
| Course code | MMTM4TRAPT |
| Type | PT |
| Kind | Compulsory |
| Language of instruction | English |
| SWS | 0 |
| ECTS Credits | 1 |
| Examination character | final |
Learning Outcomes:
Alumni make a demonstrable contribution outside their own projects (e.g. pool of all ongoing projects, including research projects) and try out the role of an "outsourcing" employee.
Superior module:
Personal & Social Skills 2
Module description:
-