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Introduction to AILaajuus (3 cr)

Code: AT00DC16

Credits

3 op

Teaching language

  • English

Objective

Student is able to
- descripe what Artificial Intelligence means in practice and what aspects it includes
- descripe what makes Artificial Intelligence a revolutionary technology
- connect Artificial Intelligence in different industries
- relate ethical aspects related to the use of artificial intelligence
- understand the future of Artificial Intelligence

Enrollment

06.05.2024 - 30.07.2025

Timing

01.08.2024 - 31.07.2025

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Degree programmes
  • Complementary competence and optional courses, Bachelors
Teachers
  • Saku Syngelmä
Groups
  • TLABTO24H
  • TLABAVO25K
  • TLABAVO24S

Learning outcomes

Student is able to
- descripe what Artificial Intelligence means in practice and what aspects it includes
- descripe what makes Artificial Intelligence a revolutionary technology
- connect Artificial Intelligence in different industries
- relate ethical aspects related to the use of artificial intelligence
- understand the future of Artificial Intelligence

Implementation and methods of teaching

Time- and location-independent online implementation. The course does not have a specific teacher in charge. Students get to freely go through the material while the course is available.

Timing and attendance

Study according to your personal timetable, everyone can choose their own

Learning material and recommended literature

All of the needed material is available online

Alternative completion methods

No alternative methods of completions

Working life cooperation

Does not include work-life cooperation.

Learning environment

Moodle as a learning environment, where you can complete the course at your own pace.

Student time use and work load

The workload corresponds to an online course of three ETCS study credits.

Contents

In this course, students will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks.

Assessment criteria

Students must complete all of the material and exams within the course successfully

Assessment scale

Approved/Failed