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Mathematics 3

Module name (EN):
Name of module in study programme. It should be precise and clear.
Mathematics 3
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014
Module code: KI360
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P222-0002
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
3V+1U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Ninety-minute written exam

[updated 20.03.2007]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KI360 (P222-0002) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 3, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
KI260 Mathematics 2


[updated 01.04.2003]
Recommended as prerequisite for:
KI560 Digital Signal Processing
KI575 Machine Learning
KI584 Information Retrieval
KI605
KI691
KI692 Computer Vision
KI693


[updated 26.04.2021]
Module coordinator:
Prof. Dr. Barbara Grabowski
Lecturer:
Prof. Dr. Barbara Grabowski


[updated 01.04.2003]
Lab:
Applied Mathematics, Statistics, and eLearning (5306)
Learning outcomes:
After completing this course, students will be have acquired an understanding of Fourier and Laplace transformations and of functions of several independent variables.

[updated 13.03.2007]
Module content:
1. Fourier and Laplace transformations
1.1......The Fourier transformation
1.2......The Laplace transformation
1.3......Back transformation methods
1.4......Applications
2. Functions with several independent variables
2.1......n-dimensional space
2.2......Multivariate functions
2.3......Differential calculus
2.4......Multiple integrals


[updated 13.03.2007]
Recommended or required reading:
PAPULA L., Mathematik für Ingenieure und Naturwissenschaftler, Vieweg, 2000
PAPULA L., Mathematische Formelsammlung für Ingenieure und Naturwissenschaftler, Vieweg, 2000
BRONSTEJN I., MUSIOL G., MÜHLIG H., Taschenbuch der Mathematik, Deutsch, 2000


[updated 13.03.2007]
Module offered in:
WS 2017/18, WS 2016/17, WS 2015/16, WS 2014/15, WS 2013/14, ... 
[Thu Nov 21 15:23:09 CET 2024, CKEY=mathe3, BKEY=ki, CID=KI360, LANGUAGE=en, DATE=21.11.2024]