FI:IV132 LiVe Lab Seminar - Course Information
IV132 LiVe Lab Seminar
Faculty of InformaticsSpring 2024
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
- Teacher(s)
- prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D. (lecturer)
- Guaranteed by
- prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics - Prerequisites
- SOUHLAS
Applicants should 1) be able to work independently 2) have interest in long-term projects (several semesters) 3) have working knowledge of English 4) be able to work in a team. The enrollment must be approved by one of the laboratory researchers. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Image Processing and Analysis (programme FI, N-VIZ)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- 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)
- Computing Technology and Methodology (programme FI, D-INF_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Discrete algorithms and models (programme FI, N-TEI)
- Formal analysis of computer systems (programme FI, N-TEI)
- Fundamentals of Computer Science (programme FI, D-INF_A)
- Fundamentals of Computer Science (programme FI, D-INF)
- 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)
- 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)
- Computing Technology and Methodology (programme FI, D-INF)
- 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
- On successful completion of the course students - will have practical experience with active research - should be able to read and understand scientific papers - should be able to employ gathered information to formulate and prove their own hypotheses within the relevant context - should be able to present the research results in English.
- Learning outcomes
- After the course the student will be able:
- to contrast conceptual errors in analysed publications by employing suitable arguments;
- to judge ideas and opinions in front of students and professionals. - Syllabus
- Students meet regularly with senior researchers to discuss research problems related to their research topics. Students are expected to regularly present state-of-the-art results in the relevant fields at the laboratory seminar.
- Teaching methods
- self-study; team research projects
- Assessment methods
- Students are evaluated according their performance on assigned projects.
- Language of instruction
- English
- Further Comments
- The course is taught each semester.
The course is taught: every week.
- Enrolment Statistics (Spring 2024, recent)
- Permalink: https://is.muni.cz/course/fi/spring2024/IV132