Master Seminar 1 510-IS2-2SM1-CS-22
Study profile: general
Study form: full-time
Type of course: obligatory
Scientific domain: exact and natural sciences; discipline: computer science
Year/semester: 2/3
Prerequisites: none
Seminar: 30h
Didactic methods: presentations, seminar talks
ECTS: 3
Balance of a student's labour input:
Participation in classes: 30h
Preparation to classes:
- Becoming familiar with the relevant literature: 10h
- Reports, presentations and other: 15h
Consultation with the teacher: 20h
Activities requiring a direct participation of the teacher: 50h, 2 ECTS
Activities not requiring a direct participation of the teacher: 25h, 1 ECTS
Course coordinators
Type of course
Mode
Learning outcomes
A student
- can communicate in English using specialist terminology proper for computer science, in writing and orally; KA7_UK1; the verification method: observation of the student activity during classes;
- can prepare and deliver a presentation on the project, or research topic in the area of computer science; KA7_UK2; the verification method: presentation;
- can read the computer science literature and communicate in English on issues concerning computer science; KA7_UK3; the verification methods: observation of the student activity during classes, presentation;
- can gather and integrate information from various sources (literature, Internet, data bases etc.); can interpret the information and draw conclusions; KA7_UU1; the verification methods: observation of the student activity during classes, presentation;
- understands the need for self-education; KA7_UU2; the verification methods: observation of the student activity during classes, discussion;
- can rank their activity; KA7_UU3; the verification method: observation of the student activity during classes;
- understands the need for learning of new trends in information technologies via scientific and popular computer science journals as well as Internet; KA7_KR1; the verification method: observation of the student activity during classes;
- understands the need for further education, also outside the computer science; KA7_KK1; the verification methods: observation of the student activity during classes, presentation.
Assessment criteria
Passing with grade.
Passing on the basis of presentations, discussion and presence at the regular class meetings.
Assessment methods: Observation of students' activities at class meetings, listening to and watching of students' presentations, discussion on the presentations.
Assessment criteria: (a) A student has to prepare and deliver a few oral and visual presentation on given topics. (b) A student has to attend regular class meetings. Two unexcused absences (4h) are allowed.
In the case of distance learning, a recommended e-learning platform and/or USOSmail will be used.
Bibliography
The bibliography is relevant to the seminar topics.
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Term 2023:
The literature is relevant to the seminar topics. |
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: