Module MAT-14-02-M-3
Modelling in Business Mathematics (M, 16.0 LP)
Module Identification
Module Number | Module Name | CP (Effort) |
---|---|---|
MAT-14-02-M-3 | Modelling in Business Mathematics | 16.0 CP (480 h) |
Basedata
CP, Effort | 16.0 CP = 480 h |
---|---|
Position of the semester | 3 Sem. from WiSe/SuSe |
Level | [3] Bachelor (Core) |
Language | [DE] German |
Module Manager | |
Lecturers |
Lecturers of the department Mathematics
|
Area of study | [MAT-GRU] Mathematics (B.Sc. year 1 and 2) |
Reference course of study | [MAT-82.276-SG] B.Sc. Business Mathematics |
Livecycle-State | [NORM] Active |
Courses
Type/SWS | Course Number | Title | Choice in Module-Part | Presence-Time / Self-Study | SL | SL is required for exa. | PL | CP | Sem. | |
---|---|---|---|---|---|---|---|---|---|---|
2V | MAT-14-00W-K-2 | Introduction to Scientific Programming (MATLAB)
| P | 28 h | 62 h |
U-Schein
| - | no | 3.0 | WiSe/SuSe |
2S+1L | MAT-14-02-K-3 | Proseminar Modelling in Business Mathematics (with Project)
| P | 42 h | 108 h |
PS-Schein
| - | no | 5.0 | WiSe/SuSe |
2L | MAT-14-13P-K-3 | Practical Course Linear and Network Programming
| P | 28 h | 92 h |
L-Schein
| - | no | 4.0 | SuSe |
2L | MAT-14-14P-K-3 | Practical Course Stochastic Methods
| P | 28 h | 92 h |
L-Schein
| - | no | 4.0 | WiSe |
- About [MAT-14-00W-K-2]: Title: "Introduction to Scientific Programming (MATLAB)"; Presence-Time: 28 h; Self-Study: 62 h
- About [MAT-14-00W-K-2]: The study achievement [U-Schein] proof of successful participation in the exercise classes (ungraded) must be obtained.
- About [MAT-14-02-K-3]: Title: "Proseminar Modelling in Business Mathematics (with Project)"; Presence-Time: 42 h; Self-Study: 108 h
- About [MAT-14-02-K-3]: The study achievement [PS-Schein] proof of successful participation in the proseminar must be obtained.
- About [MAT-14-13P-K-3]: Title: "Practical Course Linear and Network Programming"; Presence-Time: 28 h; Self-Study: 92 h
- About [MAT-14-13P-K-3]: The study achievement [L-Schein] proof of successful participation in the practical course / lab must be obtained.
- About [MAT-14-14P-K-3]: Title: "Practical Course Stochastic Methods"; Presence-Time: 28 h; Self-Study: 92 h
- About [MAT-14-14P-K-3]: The study achievement [L-Schein] proof of successful participation in the practical course / lab must be obtained.
Evaluation of grades
The module is not graded (only study achievements)..
Contents
Of these, the courses include
- [MAT-14-00W-K-2] Introduction to Scientific Programming (MATLAB): Learning of a modern programming language based on mathematical problems.
- [MAT-14-02-K-3] Proseminar Modelling in Business Mathematics (with Project): Proseminar in a field of business mathematics, exemplary presentation of the modelling cycle on the basis of specific problems in the field of economics and the business sciences.
- [MAT-14-13P-K-3] Practical Course Linear and Network Programming, [MAT-14-14P-K-3] Practical Course Stochastic Methods: Solving mathematical problems by implementing algorithms on the computer. One of the programming projects should start from a modelling question.
Implementation of algorithms of practical mathematics by means of higher programming languages and special mathematical software packages.
Competencies / intended learning achievements
By participating in the programming course, the students are familiarised with the MATLAB programming language, building on the programming skills acquired in the module [INF-02-01-M-2].
By participating in the proseminar [MAT-14-02-K-3], the students have learned to independently work on a business mathematics topic and to present it in a suitable form. They know the basic principles of mathematical modelling and have learned (as preparation for the module [MAT-25-10W-M-4] Practical Training Business Mathematics) how to work in a team to develop initial solutions for application problems in industry and business. They have realised how the concepts learned in the module [MAT-10-1-M-2] such as norm, vector space, sequences and series, continuity, differentiability, and extreme values can be applied in an application-related context.
In the two programming lab classes, the students have learned how mathematical problems can be solved by implementing algorithms on the computer.
Literature
Materials
Registration
Requirements for attendance (informal)
Requirements for attendance (formal)
References to Module / Module Number [MAT-14-02-M-3]
Course of Study | Section | Choice/Obligation |
---|---|---|
[MAT-82.276-SG] B.Sc. Business Mathematics | Computer Science and Computational Methods | [P] Compulsory |