First Cycle - Faculty of Business Administration - Business Informatics (German)
Y : Year of Study S : Semester
Course Unit Code Course Unit Title Type of Course Y S ECTS
MATH112 Mathematics Algebra and Discrete Mathematics Compulsory 1 2 4
Objectives of the Course
Basic methods in linear algebra and algebra topics are processed. The basic properties of the various methods, which may be usefull for other courses are discussed (matrix operations, linear equation systems, etc.)
Name of Lecturer(s)
Learning Outcomes
1 to describe graphs and networks
2 to inteprete the most important enumeration functions
3 to solve linear recurrences
4 to represent a matrix in a simple form (diagonalization, Jordan normal form)
5 to find determinants and eigenvalues of a matrix
6 to solve systems of linear equations
7 to calculate with vectors and matrices
Mode of Delivery
Formal Education
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1 Linear Functions
2 Vector Spaces
3 Vector Operations
4 Matrix Calculations
5 Determinants
6 Linear Equation Systems
7 Gauss Elimination Method
8 Midterm
9 Eıgenvalues
10 Eıgenvectors and Dıagonalization of Matrices
11 Mathematical Logic and Boolean Algebra
12 Simple Counting Functions
13 Linear Differential Equations
14 Graph Theory I
15 Graph Theory II
16 Study week
17 Final
Recommended or Required Reading
"D. Ohse, Mathematik für Wirtschaftswissenschaftler II: Lineare Wirtschaftsalgebra, Verlag Vahlen.
J. Schwarze, Mathematik für Wirtschaftswissenschaftler: Band 3, Verlag Neue Wirtschaftsbriefe.
Planned Learning Activities and Teaching Methods
Lecture and exercises, computer support for demonstration
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Exam1100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Exam1100
Language of Instruction
Workload Calculation
Activities Number Time (hours) Total Work Load (hours)
Theoretical 4 14 56
Pre Class Self Study 2 14 28
Post Class Self Study 2 14 28
Total 8 42 112
Contribution of Learning Outcomes to Programme Outcomes
PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
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LO 23020000000000000
LO 33020000000001000
LO 43000000000000000
LO 53010100000000000
LO 63000000000000000
LO 73010000000011000
LO 80000000000000000
LO 90000000000000000
LO 100000000000000000
LO 110000000000000000
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LO 140000000000000000