Study Guide

Objective

After completing the course, the student can:

Describe what artifical intelligence (AI) is about and how to build solutions that utilise artificial intelligence.

Content

Basics of AI
Recap of Machine Learning
Examples of solutions utilizing AI

Teaching methods

In-person teaching, task-based learning.

Exam schedules

Week 16

International connections

The course includes approximately 13 guided work sessions. These sessions will feature presentations and demos by both teachers and students.

Additionally, students will write a report on a chosen topic, which they will also present.

Both the report and the presentation will be peer-reviewed.

Course materials and other announcements will be made via ITS.

Student workload

Contact Hours:
Week 2:

Course introduction: 2 hours
Weeks 3 - 7:

Teacher presentations and demos: 5 x 3 hours = 15 hours
Weeks 9 - 14:

Student presentations and peer reviews: 6 x 3 hours = 18 hours
Weeks 15 - 16:

Summary and review of course topics (teachers): 3 hours
Total Contact Hours: approximately 40 hours

Independent Study and Homework:
Preparing the report on a chosen topic: 60 hours
Preparing the presentation: 30 hours
Total: approximately 130 hours

Content scheduling

After completing the course, the student will be able to:
Describe what artificial intelligence is and how AI-based solutions are built.

Content
Basics of artificial intelligence
Review of machine learning
Examples of AI-based solutions

Learning Materials
Teacher-prepared materials, online resources, and tasks in the learning environment.
Distributed via ITS.

Week 2
Course introduction
Review of machine learning basics
Introduction to the main course assignment (report and presentation on a chosen topic)

Weeks 3 - 7
AI solutions (presentations and demos by teachers on various applications)
Working on the main assignment (preparing the related report)

Weeks 9 - 14
AI solutions (student presentations)

Weeks 15 - 16
Summary and review of the topics covered in the course (teachers)
Exam

Further information

Its-learning

Evaluation scale

H-5