|
|
Main menu for Browse IS/STAG
Course info
KKY / ZKYI
:
Course description
Department/Unit / Abbreviation
|
KKY
/
ZKYI
|
Academic Year
|
2023/2024
|
Academic Year
|
2023/2024
|
Title
|
Basics of Cybernetics for Informatics
|
Form of course completion
|
Exam
|
Form of course completion
|
Exam
|
Accredited / Credits
|
Yes,
3
Cred.
|
Type of completion
|
Written
|
Type of completion
|
Written
|
Time requirements
|
Lecture
3
[Hours/Week]
|
Course credit prior to examination
|
Yes
|
Course credit prior to examination
|
Yes
|
Automatic acceptance of credit before examination
|
Yes in the case of a previous evaluation 4 nebo nic.
|
Included in study average
|
YES
|
Language of instruction
|
-
|
Occ/max
|
|
|
|
Automatic acceptance of credit before examination
|
Yes in the case of a previous evaluation 4 nebo nic.
|
Summer semester
|
0 / -
|
0 / -
|
0 / -
|
Included in study average
|
YES
|
Winter semester
|
116 / -
|
2 / -
|
1 / -
|
Repeated registration
|
NO
|
Repeated registration
|
NO
|
Timetable
|
Yes
|
Semester taught
|
Winter semester
|
Semester taught
|
Winter semester
|
Minimum (B + C) students
|
10
|
Optional course |
Yes
|
Optional course
|
Yes
|
Language of instruction
|
-
|
Internship duration
|
0
|
No. of hours of on-premise lessons |
|
Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
|
Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
|
Fundamental theoretical course |
No
|
Fundamental course |
No
|
Fundamental theoretical course |
No
|
Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
|
None
|
Preclusive courses
|
N/A
|
Prerequisite courses
|
N/A
|
Informally recommended courses
|
N/A
|
Courses depending on this Course
|
N/A
|
Histogram of students' grades over the years:
Graphic PNG
,
XLS
|
Course objectives:
|
The aim is to introduce the basic approaches and principles of cybernetics. The course is very introductory in nature. The generality of cybernetic approach and its wide applicability in various fields of human activity is especially emphasized. Increased attention is devoted to applications in information technology.
|
Requirements on student
|
Students must successfully pass the final written test.
|
Content
|
1. Introductory remarks on cybernetics. 2. Basic concepts of information theory (entropy, communication channels, codes). 3. Dynamic Systems. Models and simulations. 4. Feedback and feedforward control. Examples. 5. Properties of feedback loops. Stability, control performance, robustness. 6. The role of computers in control. Examples. 7. The role of control theory in information and communication technologies. Examples. 8. Cybernetics and Artificial Intelligence. 9. Automatic solving problems in AI. Knowledge-based approaches. 10. Principles of automatic classification and decision making. 11. Speech technologies and their use in process automation. 12. Image processing technologies and their use in process automation. 13. Written test.
|
Activities
|
|
Fields of study
|
|
Guarantors and lecturers
|
|
Literature
|
-
Basic:
Přednášky předmětu "Základy kybernetiky pro informatiky"
(Schlegel, M.)
-
Recommended:
Russell, Stuart Jonathan; Norvig, Peter. Artificial intelligence : a modern approach. Upper Saddle River : Prentice Hall, 1995. ISBN 0-13-103805-2.
-
Recommended:
Feedback Systems
(Astrom, K.J., Murray R.M.)
-
Recommended:
Kotek, Z., Vysoký, P., Zdráhal, Z. Kybernetika. Praha, 1990.
-
Recommended:
Psutka, Josef. Mluvíme s počítačem česky. Praha : Academia, 2006. ISBN 80-200-1309-1.
-
Recommended:
Mařík, Vladimír. Umělá inteligence (1). Academia, Praha, 1993. ISBN 80-200-0496-3.
-
Recommended:
Mařík, Vladimír a kol. Umělá inteligence (2). Academia, Praha, 1997.
-
Recommended:
Mařík, Vladimír a kol. Umělá inteligence (3). Academia, Praha, 2001.
-
On-line library catalogues
|
Time requirements
|
All forms of study
|
Activities
|
Time requirements for activity [h]
|
Contact hours
|
39
|
Preparation for an examination (30-60)
|
30
|
Preparation for comprehensive test (10-40)
|
10
|
Total
|
79
|
|
Prerequisites
|
Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
No particular prerequisites specified. |
|
Learning outcomes
|
Knowledge - knowledge resulting from the course: |
Completing the course the student receives initial findings - in the theory of information - about dynamic systems and their modeling - about the principles of feedback and feedforward control - the role of control theory in information and communication technologies (ICTs) - on basic problem areas of artificial intelligence - on speech and image processing - on the use of artificial intelligence techniques to solve cybernetic tasks |
|
Assessment methods
|
Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
|
Teaching methods
|
Knowledge - the following training methods are used to achieve the required knowledge: |
Group discussion |
Individual study |
One-to-One tutorial |
Interactive lecture |
|
|
|
|