Module details

M1100-CMS52  Computational Modelling in Energy Economics Advanced

Module Owner: N.N.
Displayed in timetable as: CMS-EE-EL2
Duration: 2
Number of electives: 0
Credits: 10,0
Start Semester: SuSe 2023
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 16.03.2023 00:00 | 15.06.2023 00:00 13.07.2023 00:00

Courses
Number Name Semester  
DK1100-CMS24X Dummykurs CMS 4 SWS  
DK1100-CMS52X Dummykurs CMS 4 SWS  
DK1100-CMS52X Dummykurs CMS 4 SWS WiSe 2023/24
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 WiSe 2023/24
DK1100-MA012X Dummykurs CMS 2 SWS  
DK1100-MA014X Dummykurs CMS 4 SWS  
DK1100-MA018X Dummykurs CMS 8 SWS  
DK1100-MA022X Dummykurs CMS 2 SWS  
DK1100-MA024X Dummykurs 4 SWS  
DK1100-MA034X Dummykurs 4 SWS  
DK1100-MA052X Dummykurs CMS 2 SWS  
K0108-40543xV Numerik partieller Differentialgleichungen (V)  
K0108-40543xÜ Numerik partieller Differentialgleichungen (Ü)  
K0108-40545xV Numerik mit partiellen Differentialgleichungen - weiterführende Konzepte (V)  
K0108-40545xÜ Numerik mit partiellen Differentialgleichungen - weiterführende Konzepte (Ü)  
K0108-40642xV Wissenschaftliches Rechnen - Fortgeschrittene Aspekte (V)  
K0108-40642xÜ Wissenschaftliches Rechnen - Fortgeschrittene Aspekte (Ü)  
K0108-40643xV Scientific Programming - Fortgeschrittene Aspekte (V)  
K0108-40643xV Scientific Programming - Advanced Aspects (L) SuSe 2023
K0108-40643xÜ Scientific Programming - Fortgeschrittene Aspekte (Ü)  
K0108-M0x32xV Scientific computing – Advanced concepts (V+Ü)  
K0108-M0x33xV Scientific programming – Advanced concepts (V+Ü)  
K0108-M0x33xV Scientific programming – Advanced concepts (L+E) WiSe 2023/24
K0108-M1x28xV Numerical methods for partial differential equations – Basic concepts (V+Ü)  
K0108-M1x28xV Numerical methods for partial differential equations – Basic concepts (L+E) WiSe 2023/24
K0108-M2x29xV Numerical methods for partial differential equations – Advanced concepts (V+Ü)  
K1001-14M607S Applied Power System Economics (S)  
K1001-14M607S Applied Power System Economics (S) WiSe 2023/24
K1102-MA0002V High Performance Computing (L)  
K1102-MA0002V High Performance Computing (L) WiSe 2023/24
K1102-MA0002Ü High Performance Computing (E)  
K1102-MA0002Ü High Performance Computing (E) WiSe 2023/24
K1102-ZIH03V Digitization and Data Analytics: Architectures, Methods, and Consequences (L)  
K1102-ZIH03V Digitization and Data Analytics: Architectures, Methods and Consequences (L) SuSe 2023
K1102-ZIH03Ü Digitization and Data Analytics: Architectures, Methods, and Consequences (E)  
K1104-MA0020V Design Patterns and Frameworks (L)  
K1104-MA0020V Design Patterns and Frameworks (L) WiSe 2023/24
K1104-MA0020Ü Design Patterns and Frameworks (E)  
K1104-MA0020Ü Design Patterns and Frameworks (E) WiSe 2023/24
K1104-MA0032V Scientific Visualization (V)  
K1104-MA0032Ü Scientific Visualization (Ü)  
K1106-MA0023V Scalable Data Engineering (L)  
K1106-MA0023V Scalable Data Engineering (L) WiSe 2023/24
K1106-MA0023Ü Scalable Data Engineering (E)  
K1106-MA0023Ü Scalable Data Engineering (E) WiSe 2023/24
K1107-MA0006V Particle Methods (V)  
K1107-MA0006Ü Particle Methods (Ü)  
K1107-MA0056V Advanced Problem Solving and Search (L)  
K1107-MA0056V Advanced Problem Solving and Search (L) SuSe 2023
K1107-MA0056Ü Advanced Problem Solving and Search (E)  
K1107-MA0056Ü Advanced Problem Solving and Search (E) SuSe 2023
K1302-EX3040V Computational Fluid Dynamics (L)  
K1302-EX3040V Computational Fluid Dynamics (L) WiSe 2023/24
K1302-EX3040Ü Computational Fluid Dynamics (E)  
K1302-EX3040Ü Computational Fluid Dynamics (E) WiSe 2023/24

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-CMS24X Dummykurs CMS 4 SWS Assessment No 4
DK1100-CMS52X Dummykurs CMS 4 SWS Assessment No 2
Assessment No 2
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
DK1100-MA052X Dummykurs CMS 2 SWS Assessment No 1
Assessment No 1
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) Written Examination/Oral Assessment Scientific Programming No 4
K0108-M0x32xV Scientific computing – Advanced concepts (L+E) Oral Assessment Scientific Computing Advanced Aspects No 4
K0108-M0x33xV Scientific programming – Advanced concepts (L+E) Written Examination/Oral Assessment Scientific Programming No 4
K0108-M1x28xV Numerical methods for partial differential equations – Basic concepts (L+E) Oral Assessment Numerical Mathematics of Partial Differential Equations No 4
K0108-M2x29xV Numerical methods for partial differential equations – Advanced concepts (L+E) Oral Assessment Numerical Mathematics of Partial Differential Equations - Further Concepts No 4
K1001-14M607S Applied Power System Economics (S) Presentation Applied Power System Economics No 2
Seminar Paper Applied Power System Economics No 2
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 Digitization and Data Analytics No 4
K1104-MA0020V Design Patterns and Frameworks (L) Written Examination/Oral Assessment Design Patterns and Frameworks No 4
K1104-MA0032V Scientific Visualization (L) Written Examination/Oral Assessment Scientific Visualization No 4
K1106-MA0023V Scalable Data Engineering (L) Written Examination/Oral Assessment Scalable Data Engineering No 4
K1107-MA0006V Particle Methods (L) Written Examination/Oral Assessment Particle Methods No 4
K1107-MA0056V Advanced Problem Solving and Search (L) Written Examination/Oral Assessment Advanced Problem Solving and Search No 4
K1302-EX3040V Computational Fluid Dynamics (L) Written Examination/Oral Assessment Computational Fluid Dynamics No 4