Module Number INFM1020 |
Module Title Mathematics for Computer Science 2: Linear Algebra |
Type of Module Compulsory |
---|---|---|
ECTS | 9 | |
Work load - Contact time - Self study |
Workload:
270 h Class time:
90 h / 6 SWS Self study:
180 h |
|
Duration | 1 Semester | |
Frequency | In the summer semester | |
Language of instruction | German | |
Type of Exam | Written Test |
|
Lecture type(s) | Lecture, Tutorial | |
Content | Topics include algebra (groups, rings, fields, polynomial rings, coset, and Lagrange's theorem) and linear algebra (vector spaces, linear mappings and their matrix representations, rank of a matrix, base changes, orthonormal bases, systems of linear equations and their solution using the Gaussian algorithm, determinants, eigenvectors and eigenvalues, orthogonal and symmetric matrices |
|
Objectives | Students gain knowledge of algebraic structures and linear algebra and their applications in computer science. They are able to reason about abstract algebraic structures and correctly apply the methods and algorithms of linear algebra to solve systems of linear equations and describe geometric facts. After this module, students have confidence in formally correct mathematical reasoning and its presentation. |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
4
6.0
wt
120
g
100
Tutorial
Ü
o
2
3.0
|
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Dorn, Markwig | |
Literature | - |
|
Last offered | Sommersemester 2022 | |
Planned for | Sommersemester 2024 | |
Assigned Study Areas | BIOINFM, INFM, MDZINFM, MEINFM |