mam - Master Thesis Module Digitalised Energy Systems (Course overview)

mam - Master Thesis Module Digitalised Energy Systems (Course overview)

Department of Computing Science 30 KP
Semester courses Winter semester 2024/2025
Type of course: Colloquium
Notes on the module
Prerequisites

Modules of the study program that are thematically relevant for the topic of the Master's thesis

Prüfungszeiten

continuous

Module examination

Preparation and submission of the master's thesis according to the examination regulations.
Defense of the master thesis in a final colloquium

Skills to be acquired in this module

Thestudents prove that they are able to process and solve complex computer science tasks based on gained scientific knowledge and applied research methods. The students successfully implement a task especially by using their acquired professional and methodological knowledge and their professional and social competences. 
The accompanying seminar is used to discuss the master’s thesis methodically and content- related. During the seminar the exchange of research and practical experience fosters the students' ability to discuss and evaluate their thesis with other students and experts.
The master’s thesis is finished by a colloquium
Professional competences
The students:

  • recognise and evaluate applied techniques and methods of their subject and are aware of their limits
  • design solutions for complex, possibly vaguely defined or unusual computer science
  • tasks/problems and evaluate these with reference to state of the art computer science and technology
  • identify, structure and solve problems/tasks, also in new or developing subject areas Apply state of the art and innovative methods to solve problems, if necessary from other disciplines
  • relate knowledge from different disciplines and apply this new knowledge in complex situations
  • develop complex computer systems, processes and datamodels
  • are aware of the current limits and contribute to the development of computer science research and technology
  • discuss and evaluate recent computer science developments

Methodological competences
The students:

  • identify and develop one or more solutions Evaluate and apply tools, technology and methods sophisticatedly
  • examine tasks with technical and research literature, write an academic article and present their solutions academically
  • schedule processes and resources
  • apply project management techniques
  • combine new and original approaches and methods creatively
  • evaluate problems/tasks, including new or developing subject areas of their disciplineand apply computer science methods for solutions and research


Social competences
The students:

  • communicate with users and experts convincingly
  • make reasonable decisions

 Self-competences
The students:

  • pursue the overall and special computer science development critically
  • implement innovative professional activities effectively and independently
  • recognise their abilities and extend them purposefully
  • reflect their self-perception and actions with regard to professional, methodological and social aspects
  • develop and reflect self-developed hypotheses to theories independently
  • work in their field independently