Information on individual educational components (ECTS-Course descriptions) per semester | |
Degree programme: | Bachelor Computer Science - Software and Information Engineering |
Type of degree: | FH Bachelor´s Degree Programme |
Full-time | |
Summer Semester 2024 | |
Course unit title | Linear Algebra and Calculus |
Course unit code | 024717020101 |
Language of instruction | German |
Type of course unit (compulsory, optional) | Compulsory |
Semester when the course unit is delivered | Summer Semester 2024 |
Teaching hours per week | 6 |
Year of study | 2024 |
Level of course unit (e.g. first, second or third cycle) | First Cycle (Bachelor) |
Number of ECTS credits allocated | 6 |
Name of lecturer(s) | Simon FETZEL Martin MÜLLER |
Prerequisites and co-requisites |
Discrete Mathematics |
Course content |
The "Linear Algebra" part includes the following chapters:
The part "Analysis" includes the following chapters:
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Learning outcomes |
Technical and methodological competence (F / M) In the first part of the course, students develop an understanding of the structures of linear space and linear mappings. Students will know and understand various applications of linear mappings such as computer graphics and also solving systems of linear equations. In the second part, students develop a basic understanding of the mathematical concept of infinity, its application in the calculation of limits of sequences, series and functions as well as its connection with infinitesimal calculus. Furthermore, the students know and understand applications of calculus such as the use of polynomials and power series for the approximation of functions on the computer. Through specifically selected forms of learning and teaching, this course also contributes to the training of the following general skills: Social and communicative competence (S / K)
Self-competence (S)
Transfer Competence (T)
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Planned learning activities and teaching methods |
Lecture in front of the whole group, exercises in three groups on paper and on the computer. Individual feedback on homework. |
Assessment methods and criteria |
Written exam 80% and evaluation of the exercises in the seminar 20% For a positive grade, a minimum of 50% of the possible points must be achieved in each part of the examination. |
Comment |
Non applicable |
Recommended or required reading |
Weitz, Edmund (2021): Konkrete Mathematik (nicht nur) für Informatiker: Mit vielen Grafiken und Algorithmen in Python. 2., überarb. u. erw. Aufl. 2021 Edition. Berlin: Springer Spektrum.
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Mode of delivery (face-to-face, distance learning) |
Classroom teaching |
Summer Semester 2024 | go Top |