(in Polish) Artificial Intelligence 420-IS1-3SZI-ENG

Study profile: general academic
Study form: full-time
Type of course: obligatory
Scientific domain: strict and natural sciences; discipline: computer science
Year/semester: 3/6
Lecture: 30h, Laboratory: 15h, Project: 15h
Didactic methods: lectures on the theoretical foundations of AI; teaching of selected methods and technologies of AI at lab classes; application of the learned methods and technologies of AI to project tasks - project classes
ECTS: 4
Balance of a student's labour input:
Participation in classes:
- lecture 30h
- laboratory 15h
- project 15h
Preparation to classes:
- Preparation to other than lecture forms of classes: 20h
- Becoming familiar with the literature: 10h
- Reports and other: 10h
- Preparation to the exam: 10h
Duration of the exam: 2h
Individual consulting with teachers: 3h
Activities requiring of a direct participation of the teacher: 65h, 2 ECTS
Activities not requiring of a direct participation of the teacher: 50h, 2 ECTS

Prerequisites (description)

A student is assumed to have some knowledge of the theory and the practice of such research fields as logic, set theory, probability theory, statistics, mathematical analysis, discrete mathematics, algorithms and data structures, and to be familiar with programming.

Course coordinators

Anna Gomolińska

Type of course

obligatory courses

Mode

(in Polish) w sali
Blended learning

Learning outcomes

A graduate
- knows elementary notions, properties, and methods used in the main research fields of artificial intelligence KA6_WG11;
- can describe problems expressed in natural language using an artificial intelligence terminology KA6_UW14;
- can themselves solve a problem, present its solution, and make conclusions KA6_UK3;
- can collaborate with others at the realization of a project if needed KA6_UO2;
- monitors the development of the artificial intelligence methods and technologies KA6_UU1;
- understands the necessity of adherence to the legal and ethical rules concerning the activity within the computer science society KA6_KR1.

The verification method: exam, evaluation of the solutions of project tasks, activity at the classes.

Assessment criteria

The general form of the credit: a written exam

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 420-IS1-3SZI-ENG in USOSweb