Module details

M1100-CMS52  Computational Modelling in Energy Economics Advanced

Module Owner: N.N.
Displayed in timetable as: CMS-EE-EL2
Duration: 3
Number of electives: 0
Credits: 10,0
Start Semester: SuSe 2021
Lecturer Responsible Prof. Dr. Dominik Möst
dominik.moest@tu-dresden.de
Qualification Goals The students have in-depth skills in the application of computer-aided modelling and simulation in energy market modelling, extended to complex techno-economic systems. They know the application domain to the extent that they are able to study models using self-implemented simulation methods, to model complex market economy models independently and to test and validate the models. You can independently conduct project discussions with partners from the economic sciences.
Content The contents of the module can be chosen according to the focus of the student: in-depth knowledge of numerical methods, supplementary computer science methods for graphical representation and control of simulations, computer-aided simulation and advanced programming.
Forms of Teaching and Learning The module includes lectures, exercises, seminars, tutorials, internships and project work in the amount of 8 SWS and self-study. The courses are to be selected from the catalogue CMS-EE-EL2 to the specified extent; this will be announced including the course language, the required examination achievements and weights of the grades at the beginning of the semester as is customary at the Faculty of Computer Science.
Applicability The module is a compulsory module for students of the track computational mathematics in the Master's Program Computational Modelling and Simulation.
Prerequisites for the Assignment of Credit Points The credit points are awarded if the module examination is passed. The module examination consists of the examination services specified in the CMS-EE-EL2 catalogue.
Credit Points and Grades The module allows one to earn 10 credit points. The module grade is calculated from the weighted average of the grades of the examination performances according to the CMS-EE-EL2 catalogue.
Frequency of Offer The module is offered each academic year, starting in the summer semester.
Workload The workload is a total of 300 hours.
Duration of Module The module takes two semesters to complete.
Module Number Module Handbook TU Dresden CMS-EE-EL2

Registration periods

Phase Block Register from | to End cancellation
Ohne Auswahlverfahren Vorlesungszeit 04.04.2021 00:00 | 15.06.2021 00:00 13.07.2021 00:00

Courses
Number Name Semester  
DK1100-MA001X Dummykurs CMS 1 SWS  
DK1100-MA002X Dummykurs CMS 2 SWS  
DK1100-MA003X Dummykurs CMS 3 SWS  
DK1100-MA004X Dummykurs CMS 4 SWS  
DK1100-MA004X Dummykurs CMS 4 SWS SuSe 2022
DK1100-MA012X Dummykurs CMS 2 SWS  
DK1100-MA012X Computer Vision Seminar (S) SuSe 2021
DK1100-MA014X Dummykurs CMS 4 SWS  
DK1100-MA014X Dummykurs 4 SWS WiSe 2021/22
DK1100-MA018X Dummykurs CMS 8 SWS  
DK1100-MA022X Dummykurs CMS 2 SWS  
DK1100-MA024X Dummykurs 4 SWS  
DK1100-MA034X Dummykurs 4 SWS  
K0108-40643xV Scientific Programming - Fortgeschrittene Aspekte (V)  
K0108-40643xV Scientific Programming - Advanced Aspects (L) SuSe 2021
K0108-40643xV Scientific Programming - Advanced Aspects (L) WiSe 2021/22
K0108-40643xÜ Scientific Programming - Fortgeschrittene Aspekte (Ü)  
K0108-40643xÜ Scientific Programming - Advanced Aspects (E) WiSe 2021/22
K0108-40545xV Numerik mit partiellen Differentialgleichungen - weiterführende Konzepte (V) 1  
K0108-40545xV Numerical Mathematics of Partial Differential Equations - Further Concepts (L) SuSe 2021
K0108-40545xV Numerical Mathematics of Partial Differential Equations - Further Concepts (L) SuSe 2022
K0108-40545xÜ Numerik mit partiellen Differentialgleichungen - weiterführende Konzepte (Ü) 1  
K0108-40642xV Wissenschaftliches Rechnen - Fortgeschrittene Aspekte (V) 1  
K0108-40642xV Scientific Arithmetic - Advanced Aspects (L) SuSe 2021
K0108-40642xV Scientific Arithmetic - Advanced Aspects (L) SuSe 2022
K0108-40642xÜ Wissenschaftliches Rechnen - Fortgeschrittene Aspekte (Ü) 1  
K1102-ZIH03V Digitization and Data Analytics: Architectures, Methods, and Consequences (L) 1  
K1102-ZIH03V Digitization and Data Analytics: Architectures, Methods and Consequences (L) SuSe 2021
K1102-ZIH03Ü Digitization and Data Analytics: Architectures, Methods, and Consequences (E) 1  
K1102-ZIH03Ü Digitization and Data Analytics: Architectures, Methods and Consequences (E) SuSe 2021
K1104-MA0001V Advanced User Interfaces (V) 1  
K1104-MA0001Ü Advanced User Interfaces (Ü) 1  
K1104-MA0004V Interactive Information Visualization (V) 1  
K1104-MA0004Ü Interactive Information Visualization (Ü) 1  
K1104-MA0032V Scientific Visualization (V) 1  
K1104-MA0032Ü Scientific Visualization (Ü) 1  
K1104-MA0032Ü Scientific Visualization (E) SuSe 2021
K1107-MA0006V Particle Methods (V) 1  
K1107-MA0006Ü Particle Methods (Ü) 1  
K1107-MA0062S Machine Learning Seminar (S) 1  
K0108-40543xV Numerik partieller Differentialgleichungen (V) 2  
K0108-40543xV Numerical Mathematics of Partial Differential Equations (L) WiSe 2021/22
K0108-40543xÜ Numerik partieller Differentialgleichungen (Ü) 2  
K0108-40543xÜ Numerical Mathematics of Partial Differential Equations (E) WiSe 2021/22
K1001-14M607S Applied Power System Economics (S) 2  
K1001-14M607S Applied Power System Economics (S) WiSe 2021/22
K1101-MA0024V Knowledge Graphs (L) 2  
K1101-MA0024Ü Knowledge Graphs (E) 2  
K1102-MA0002V High Performance Computing (L) 2  
K1102-MA0002V High Performance Computing (L) WiSe 2021/22
K1102-MA0002Ü High Performance Computing (E) 2  
K1102-MA0002Ü High Performance Computing (E) WiSe 2021/22
K1104-CMS03V Data Visualization (L) 2  
K1104-CMS03V Data Visualization (L) WiSe 2021/22
K1104-CMS03Ü Data Visualization (E) 2  
K1104-CMS03Ü Data Visualization (E) WiSe 2021/22
K1104-MA0020V Design Patterns and Frameworks (L) 2  
K1104-MA0020V Design Patterns and Frameworks (L) WiSe 2021/22
K1104-MA0020Ü Design Patterns and Frameworks (E) 2  
K1104-MA0020Ü Design Patterns and Frameworks (E) WiSe 2021/22
K1104-MA0024V User Interface Engineering (V) 2  
K1104-MA0024Ü User Interface Engineering (Ü) 2  
K1106-MA0020V Transactional Information Systems (L) 2  
K1106-MA0020Ü Transactional Information Systems (E) 2  
K1107-MA0056V Advanced Problem Solving and Search (L) 2  
K1107-MA0056V Advanced Problem Solving and Search (L) WiSe 2021/22
K1107-MA0056Ü Advanced Problem Solving and Search (E) 2  
K1107-MA0056Ü Advanced Problem Solving and Search (E) WiSe 2021/22
K1107-MA0060V Machine Learning 1 (V) 2  
K1107-MA0060Ü Machine Learning 1 (Ü) 2  
K1302-EX3040V Computational Fluid Dynamics (L) 2  
K1302-EX3040V Computational Fluid Dynamics (L) WiSe 2021/22
K1302-EX3040Ü Computational Fluid Dynamics (E) 2  
K1302-EX3040Ü Computational Fluid Dynamics (E) WiSe 2021/22

Passing rules
Context Name Description
Global * For information on the module examination please see module description
Global * For information on the module examination please see module description

Requirements
Course / Final module requirements Requirements Compulsory pass Weighting
DK1100-MA001X Dummykurs CMS 1 SWS Assessment No 1
DK1100-MA002X Dummykurs CMS 2 SWS Assessment No 2
DK1100-MA003X Dummykurs CMS 3 SWS Assessment No 3
DK1100-MA004X Dummykurs CMS 4 SWS Assessment No 4
DK1100-MA012X Dummykurs CMS 2 SWS Assessment No 2
DK1100-MA014X Dummykurs CMS 4 SWS Assessment No 4
DK1100-MA018X Dummykurs 8 SWS Assessment No 8
DK1100-MA022X Dummykurs CMS 2 SWS Assessment No 2
DK1100-MA024X Dummykurs 4 SWS Assessment No 4
DK1100-MA034X Dummykurs 4 SWS Assessment No 4
K0108-40543xV Numerical Mathematics of Partial Differential Equations (L) Oral Assessment Numerical Mathematics of Partial Differential Equations No 4
K0108-40545xV Numerical Mathematics of Partial Differential Equations - Further Concepts (L) Oral Assessment Numerical Mathematics of Partial Differential Equations - Further Concepts No 4
K0108-40642xV Scientific Arithmetic - Advanced Aspects (L) Oral Assessment Scientific Computing Advanced Aspects No 4
K0108-40643xV Scientific Programming - Advanced Aspects (L) Oral Assessment Scientific Programming No 4
K1001-14M607S Applied Power System Economics (S) Presentation Applied Power System Economics No 2
Seminar Paper Applied Power System Economics No 2
K1101-MA0024V Knowledge Graphs (L) Written Examination/Oral Assessment Knowledge Graphs No 4
K1102-MA0002V High Performance Computing (L) Written Examination/Oral Assessment High Performance Computers and their Programming No 4
K1102-ZIH03V Digitization and Data Analytics: Architectures, Methods and Consequences (L) Written Examination/Oral Assessment Digitization and Data Analytics No 4
K1104-CMS03V Data Visualization (L) Written Examination/Oral Assessment Data Visualization No 4
K1104-MA0001V Advanced User Interfaces (L) Written Examination Advanced User Interfaces No 4
K1104-MA0004V Interactive Information Visualization (L) Written Examination Interactive Information Visualization No 4
K1104-MA0020V Design Patterns and Frameworks (L) Written Examination/Oral Assessment Design Patterns and Frameworks No 4
K1104-MA0024V User Interface Engineering (L) Written Examination/Oral Assessment User Interface Engineering No 4
K1104-MA0032V Scientific Visualization (L) Written Examination/Oral Assessment Scientific Visualization No 4
K1106-MA0020V Transactional Information Systems (L) Written Examination/Oral Assessment Transactional Information Systems No 4
K1107-MA0006V Particle Methods (L) Written Examination/Oral Assessment Particle Methods No 4
K1107-MA0056V Problem Solving and Search in Artificial Intelligence (L) Written Examination/Oral Assessment Problem Solving and Search in Artificial Intelligence No 4
K1107-MA0060V Machine Learning 1 (L) Written Examination/Oral Assessment Machine Learning 1 No 4
K1107-MA0062S Machine Learning Seminar (S) Oral Presentation Machine Learning 2 No 2
K1302-EX3040V Computational Fluid Dynamics (L) Written Examination/Oral Assessment Computational Fluid Dynamics No 4

Caption
**

For this final module requirement, several combinations of requirements do exist. The passing rules (see above) specify, whether you have to complete one or several requirement combinations.