Mathematical Modeling of Complex Systems in the Energy Field
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2016
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|SS 2019||SS 2018||SS 2016|
EI7490 is a semester module in English language at Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|150 h||45 h||5 CP|
Content, Learning Outcome and Preconditions
How do cities grow? How do innovative, decentralized technologies such as photovoltaics expand? How do social networks influence our opinions? Similar questions will be asked in this course and they will be answered for simplified cases. The methods will be explained using Matlab simulations as well.
- identify complex socio-economic systems in the energy field,
- explain the basics of quantitative modeling techniques (especially cellular automata, sociodynamics, and complex graphs),
- apply the aforementioned methods to simple examples.
- energy systems
- differential equations
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VI||3||Mathematical Modelling of complex systems in the field of energy||Halilovic, S. Hamacher, T.||
Learning and Teaching Methods
The exercises for the tutorials will also be uploaded before each tutorial. It is expected that the students try to solve the exercises by themselves - preferably in teams before discussing them with the tutor. A sample solution will also be uploaded.
The tutorials require the participation of the students and it is recommended to bring laptops/tablets to run some code.
Besides, the forum function in Moodle will be used as a platform where the students can ask questions and receive answers from both the teachers and the other students. Additional functions of Moodle (e.g. quiz) will be eventually used to support the students in understanding the content of the lectures. There will also be homework exercises that require the use of Matlab.
Description of exams and course work
Students are encouraged to solve the homework exercises, either alone or in small groups. If a student submits 75% of the homework in time, he/she will get a bonus of 0,3 in the final grade.
There is a possibility to take the exam in the following semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Mathematical Modeling of Complex Systems in the Energy Field|
|Fri, 2023-03-24, 11:00 till 12:30||Import||till 2023-01-15 (cancelation of registration till 2023-03-17)|