Line 78: | Line 78: | ||
== Course grading == | == Course grading == | ||
To be classified student has to achieve at least 50% of every activity: | 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 |
− | * <b>Overall grading:</b> A | + | *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… ) | ||
+ | * <b>Overall grading:</b> A > 90%, B > 80%, C> 70%, D > 60%, E > 52% points. | ||
Revision as of 08:48, 3 October 2017
Mathematics 2-IKV-102
Contents
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… )
- Overall grading: A > 90%, B > 80%, C> 70%, D > 60%, E > 52% points.