Data & Analytics 2: Mathematics for Computer Science

Bachelor

The students - understand logical operators and can apply them in simple tasks - understand set operators and can apply them in simple tasks - understand mathematical relations and can apply them in simple tasks - understand place value systems (especially binary and decimal) and can apply them in simple tasks - understand O-notation and can apply it in simple tasks - understand number sequences and can apply them in simple tasks

none

- Propositional logic and logical operators, predicate logic, arithmetic laws of propositional and predicate logic - Set theory: basic concepts, set operators, arithmetic rules for sets - Relations: Basic concepts, properties of relations, equivalence, and ordering relations - Number concepts: Sets of numbers, sum and product signs, place value systems, binary and hexadecimal systems - Sequences: Concept of sequence, some essential properties, convergence, O-notation - Modular arithmetic: concept and calculation rules, applications

- Brill, Manfred: Mathematik für Informatiker: Einführung an praktischen Beispielen aus der Welt der Computer. 2nd edition, Munich, Vienna, Carl Hanser Publishing, 2005 - Nehrlich, Werner: Diskrete Mathematik: Basiswissen für Informatiker. Munich, Vienna, Carl Hanser Publishing, 2003 - Schwarze, Jochen: Mathematik für Wirtschaftswissenschaftler. Band 1: Grundlagen. 14th edition, Herne, NWB Publishing, 2015 - Teschl, Gerald; Teschl, Susanne: Mathematik für Informatiker. Band 1: Diskrete Mathematik und Lineare Algebra. 4th edition, Berlin, Heidelberg, Springer Vieweg, 2013

Portfolio review

German

6

20

3.0

Lectures, tutorials (in connection with lecture/seminar), group work

1

STGL

1

DAT2

integrated lecture

Compulsory

no