FI:PV248 Python Seminar - Course Information
PV248 Python Seminar
Faculty of InformaticsAutumn 2021
- Extent and Intensity
- 0/2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- RNDr. Petr Ročkai, Ph.D. (lecturer)
Mgr. Jan Juračka (seminar tutor)
Mgr. Lukáš Korenčik (seminar tutor)
RNDr. Petr Ročkai, Ph.D. (seminar tutor)
RNDr. Vladimír Štill, Ph.D. (seminar tutor)
Mgr. Zuzana Baranová (assistant) - Guaranteed by
- RNDr. Petr Ročkai, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics - Timetable of Seminar Groups
- PV248/01: Thu 16. 9. to Thu 9. 12. Thu 8:00–9:50 B130, J. Juračka
PV248/02: Tue 14. 9. to Tue 7. 12. Tue 12:00–13:50 B130, L. Korenčik
PV248/03: Mon 13. 9. to Mon 6. 12. Mon 8:00–9:50 B130, P. Ročkai
PV248/04: Wed 15. 9. to Wed 8. 12. Wed 10:00–11:50 B130, V. Štill
PV248/05: Wed 15. 9. to Wed 8. 12. Wed 16:00–17:50 B130, V. Štill - Prerequisites
- Basic programming skills in Python (at least to the extent covered in IB111). Upper intermediate programming skills in any language. May be combined with PV288.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 180 student(s).
Current registration and enrolment status: enrolled: 10/180, only registered: 0/180, only registered with preference (fields directly associated with the programme): 0/180 - fields of study / plans the course is directly associated with
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Deployment and operations of software systems (programme FI, N-SWE)
- Design and development of software systems (programme FI, N-SWE)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Networks and Communications (programme FI, N-PSKB)
- Principles of programming languages (programme FI, N-TEI)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- The goal of this subject is to show students the constructs and features of the programming language Python and to practice programming on practical exercises. During the semester, students will work on programming assignments, which will focus on the material covered in the lectures.
By the end of the course, students will:- be able to solve complex programming problems in Python
- be acquainted with the standard library
- understand and have the ability to use advanced constructs of Python
- Learning outcomes
- Student will be able to:
- design and write a more complex program
- read and understand code written by others
- find and use information about the language and libraries
- test and debug programs
- Syllabus
- The subject will loosely follow the lectures of PV288.
- Literature
- recommended literature
- LUTZ, Mark. Programming Python. 4th ed. Sebastopol, California: O'Reilly, 2010, 1632 pp. info
- Teaching methods
- seminars and assignments (seminar groups in English or Czech/Slovak depending on demand)
- Assessment methods
- activity in seminar, assignment evaluation
- Language of instruction
- English
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Autumn 2021, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2021/PV248