Mathematics for Cognitive Science 2-IKVa-102

The lectures will provide students with basics of propositional and predicate logic, linear algebra, mathematical analysis, and probability that are important for the study of informatics and its role in (computational) cognitive science. At the same time, students will learn about mathematical culture, notation, way of thinking and expressing oneself.

Course schedule

Type Day Time Room Lecturer
Lecture/Exercise Tuesday 08:10 M-I Martina Babinská
Exercise/Lecture Thursday 11:30 M-III Martina Babinská

Syllabus

Date Topic References
24.09. Introduction, The set of numbers, cardinality, custom and general sets, the set theory. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 3

26.09. The basics of logic and proving methods: statement vs. sentence. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 2

01.10. The basics of logic and proving methods: primitive vs. compound statement, Conjunction, Disjunction, Implication, Biconditional. and its truth values. Quantifiers. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 2

03.10. The basics of logic and proving methods: Negation, Logical Equivalence, Contradiction, Tautology. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 2

08.10. Mathematical Rows: Sum, Multiplication. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 2

10.10. Proving methods in mathematics, Mathematical Induction. Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004; chap. 4.1

References

  • Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi.

Rose-Hulman Institute of Technology: Pearson, 2004. Download here;

Course grading

To be classified student has to achieve at least 50% of every activity:

PROJECT

  • form: essay, presentation, song or movie
  • topic: What does mathematics mean for me? What am I expecting from this course?
  • term: 06.12.2018
  • goal: self-study motivation
  • weight: 15%

WEEKLY EXAMS AND HOMEWORK

  • form: 10-15 minutes writing tests
  • term: every Wednesday at the beginning of the exercise
  • goal: regular preparation
  • weight: 20%

ACTIVITY

  • form: class work (solving problems and schoolmate’s help)
  • term: every lecture and exercise
  • goal: regular preparation, cooperation and social activity
  • weight: 20%

MIDDLE TERM EXAM

  • form: 90 minutes writing test (student can choose from the offered task sets)
  • term: 21.11.2017
  • goal: progress definition
  • weight: 15%

FINAL EXAM

  • form: 90 minutes writing test
  • term: January, February 2019
  • goal: course output
  • weight: 30%

OVERALL GRADING: A > 90%, B > 80%, C> 70%, D > 60%, E > 52% points.


Information list

Course information sheet >

Revision as of 09:36, 10 October 2019 by Koronci-Babinska (Talk | contribs)