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Introduction to artificial intelligence (5 cr)

Code: YT00CF50-3002

General information


Enrollment

21.11.2022 - 08.01.2023

Timing

27.02.2023 - 06.04.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages

  • Finnish

Seats

5 - 30

Degree programmes

  • Master’s Degree Programme in Engineering, from IoT to AI

Teachers

  • Matti Welin
  • Minna Asplund
  • Rami Viksilä

Scheduling groups

  • Luennot 1 (Size: 500. Open UAS: 0.)

Groups

  • TLTIYITT22SV

Small groups

  • Luennot 1

Learning outcomes

The student is able to
- identify the key features of neural networks and deep learning
- study hyperparameters, activation functions, and neural network topology
- handle hidden layers as well as predict using existing data
- take into account usage of resources and the ethical aspects of artificial intelligence

Assessment scale

1-5