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  1. SylabUZ
  2. Faculty of Computer Science, Electrical Engineering and Automatics
  3. winter term 2022/2023
  4. Computer Science - Second-cycle Erasmus programme
  5. Artificial intelligence techniques
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Artificial intelligence techniques - course description

General information
Course name Artificial intelligence techniques
Course ID 11.3-WE-INFD-AIT-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study Computer Science
Education profile academic
Level of studies Second-cycle Erasmus programme
Beginning semester winter term 2022/2023
Course information
Semester 2
ECTS credits to win 5
Course type obligatory
Teaching language english
Author of syllabus
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 30 2 - - Exam
Laboratory 30 2 - - Credit with grade

Aim of the course

Prerequisites

Scope

Teaching methods

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Recommended reading

Further reading

Notes


Modified by dr hab. inż. Marek Kowal, prof. UZ (last modification: 13-04-2022 13:14)

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