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Introduction to Artificial Intelligence

P176B101
Finished
6 ECTS

MODULE TYPE: SDG11 

MODULE DESCRIPTION

Having graduated the course a student: i) will know theoretical backgrounds of computerized knowledge representation, implement logical inference, control and classification tasks and search of solutions; ii) will be able to apply acquired knowledge to solve real world tasks.

LEARNING OUTCOMES

• Know modern applications of artificial intelligence.

 • Able to apply classification methods for task solving.

 • Know data mining and analysis methods.

 • Know concepts of artificial and computational intelligence as well as their differences.

 • Able to use fuzzy logic for intelligent control applications.

 • Able to intellectualize the decision-making process using multi-agent systems approach.

Module level: Basic

Degree level: Bachelor

Language: English

Study mode: On-campus

SDG11 Theme:  Suitable for all themes

Open to Life Long Learners: Yes

ECTS: 6

Semester: Spring

Starting date:  01.02.2022

Finishing date:  15.06.2022

Enrolment period: From 10.12.2021 to 20.01.2022

Participation form: Please fill this document and send it to the admission-contact person: eciu-university@ktu.lt 

University

Kaunas University of Technology

Participation info

The admission is currently possible for learners from ECIU partner universities. Please fill the above form and send it to the admission-contact person: eciu-university@ktu.lt