Master Seminar 1 420-IS2-2SM1a
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
Prerequisites (description)
Course coordinators
Type of course
General: Master's seminars obligatory courses | Term 2022: obligatory courses Master's seminars |
Mode
(in Polish) w sali
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.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: