Mathematics 2-IKV-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	Tuesday	11:30	M-112	Martina Koronci Babinská
Excercise	Thursday	09:50	M-112	Martina Koronci Babinská

Syllabus

Date	Topic	References
03.10.	Introduction. The basics of logic and proving methods: propositional logic.	Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi. Rose-Hulman Institute of Technology: Pearson, 2004; Download here; chap. 2.1, 2.2
05.10.	Introduction. The basics of logic and proving methods: predicate logic.	Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi. Rose-Hulman Institute of Technology: Pearson, 2004; Download here; chap. 2.4, 2.5, 2.6

Homework

Date	Homework	Points	References
05.10.	Choose 2 Excercises from the Excercise 2.1 (page 54).	1 point / excercise	Discrete and combinatorial mathematics: An applied introduction / Ralph P. Grimaldi. Rose-Hulman Institute of Technology: Pearson, 2004; Download here;

References

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

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

• Calculus / Gilbert Strang. Massachusetts Institute of Technology: Wellesley-Cambridge Press. Download here;
• Fundamentals of Linear Algebra / James B. Carrell. Canada: University of British Colombia, 2005. Download here;
• Artificial Intelligence: A Modern Approach / Stuart Russell and Peter Norvig. The USA: Pearson, 2010. 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: 27.10.2017
• goal: self-study motivation
• weight: 15%

WEEKLY EXAMS

• form: 10-15 minutes writing tests
• term: every Thursday at the beginning of the exercise
• goal: regular preparation
• weight: 40%
• note: student can also achieve extra (bonus) points for: weekly homeworks, class work (solving problems and schoolmate’s help) and/or self-activity (lecture preparation… )

MIDDLE TERM EXAM

• form: 90 minutes writing test (student can choose from the offered task sets)
• term: 16.11.2017
• goal: progress definition
• weight: 15%

FINAL EXAM

• form: 90 minutes writing test
• term: January, February 2018
• goal: course output
• weight: 30%

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

Information list

Course information sheet >