(in Polish) Artificial Intelligence 510-IS1-3SZI-23-ENG
Study profile: general academic
Study form: full-time
Type of course: obligatory
Scientific domain: exact and natural sciences; discipline: computer science
Year/semester: 3/6
Lecture: 30h, Laboratory: 30h
Didactic methods: lecture, laboratory, implementation of a project with a report, individual consulting with teachers.
ECTS: 4
Balance of a student's labour input:
Participation in classes:
- lecture 30h
- laboratory 30h
Preparation to classes:
- Preparation to classes: lecture - 3h, laboratory - 17h
- Getting acquainted with the literature: 10h
- Reports and other: 10h
- Preparation to the exam: 10h
Duration of the exam: 2h
Individual consulting with teachers: 5h
Quantitative indices:
- a student's workload related to the activities requiring of the direct participation of teachers: 67h, 2.7 ECTS,
- the ECTS points obtained by activities relevant to the research in computer science conducted at the university: 4 ECTS.
Assumptions: The theoretical base for understanding, developing, and applying of methods of artificial intelligence are, among others, such subjects as logic, set theory, mathematical analysis, probabilistic methods and statistics, algorithms and data structures, and discrete mathematics.
Type of course
Prerequisites (description)
Course coordinators
Mode
Learning outcomes
Knowledge:
- knows selected problems of artificial intelligence, knowledge representation and processing, and communication of man--computer at an advanced level, KP6_WG11.
Skills:
- can describe problems expressed in natural language using an artificial intelligence terminology, KP6_UW14;
- can solve a problem from information sciences, partly theoretical and partly practical, and can present its solution and conclusions, KP6_UK3;
- can collaborate with others on a project, KP6_UO2;
- understands the need of improvement of their skills and competence, and follows the development of the computer science methods and
technologies, KP6_UU1.
Social competence:
- understands the need of obeying of the ethical and legal rules concerning the activity in the computer science society, KP6_KR1.
Assessment criteria
The general form of the credit: an exam
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: