M.Sc. Diploma Preparation Class 1 420-IS2-2PM1
Study profile: general
Study form: full-time
Type of course: obligatory, individual choice-based
Scientific domain: exact and natural sciences; discipline: computer science
Year/semester: 2/3
Prerequisites: none
Laboratory: 15h
Didactic methods: consultations, presentations
ECTS: 2
Balance of a student's labour input:
Participation in classes:
laboratory - 15h
Being familiar with the relevant literature: 10h
Project tasks done at home: 20h
Consultations: 10h
Activities requiring a direct participation of the teacher: 25h, 1 ECTS
Activities not requiring a direct participation of the teacher: 30h, 1 ECTS
Term 2022:
None |
Prerequisites (description)
Course coordinators
Marta Czupryna
Anna Gomolińska
Adam Grabowski
Artur Korniłowicz
Jarosław Kotowicz
Andrzej Kużelewski
Marek Parfieniuk
Aneta Polewko-Klim
Wiesław Półjanowicz
Witold Rudnicki
Krzysztof Szerszeń
Dominik Tomaszuk
Type of course
Mode
General: (in Polish) w sali (in Polish) zdalnie | Term 2022: Blended learning (in Polish) w sali (in Polish) zdalnie |
Learning outcomes
A student
- can gather and integrate information from various sources (literature, Internet, data bases etc.), interpret it, and draw conclusions; KA7_UU1; the verification methods: observation during classes, discussion;
- can elaborate a documentation of a project / research task and results of an experiment; KA7_UK4; the verification methods: presentation of the assumptions of the master thesis as well as the research results achieved, evaluation of the progress in the preparation of the thesis;
- can colabborate with other team members when working on a joint project (this applies only to diploma theses being part of some bigger projects); KA7_UO2; the verification methods: observation, evaluation of the project tasks done;
- 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 methods: evaluation of the progress in the preparation of the thesis, discussion.
Assessment criteria
Evaluation on the basis of observation of a student's activity and progress in preparation of their master thesis, taking into account the quality of the research results obtained by the student.
In the case of distant learning, a recommended e-learning platform and/or USOSmail will be used.
Bibliography
Adequate to the topics of M.Sc. theses.
Term 2022:
None |
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: