Spring
Course name Artificial Intelligence with Python
Course date 13.03.2023 - 25.05.2023
Institution Karelia University of Applied Sciences
Course language Finnish
Credits 5 ECTS credit

Field Natural Sciences HUB
Teacher Petri Laitinen, Jyri Kemppainen, Radu Mariescu-Istodor
Email
Available for open UAS Chargeable
Level Bachelor

Queries related to enrolment practices
Enrolment period 21.11.2022 - 26.02.2023
Implementation plan
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OPEN UAS Enrolment
Course enrolment info

Artificial Intelligence with Python

13.03.2023 - 25.05.2023

Course description

Learning outcomes

  • You learn how an artificial neural network works
  • You learn how to use ready-made libraries for artificial neural networks
  • You learn how to apply artificial neural networks to problem solving

Content

  • Artificial neural networks
  • Python libraries for neural networks

Prerequisites

Prerequisites

  • You master Python programming language, or
  • You have completed Programming Essentials in Python
  • You have a basic understanding of mathematics, statistics, and data science

Course way of working and time table

Online lessons 13.3.2023-28.4.2023 (7 teaching sessions, more detailed dates of the online lessons will be announced later)

Exercises 20.3.2023-5.5.2023 (6 exercise sessions, detailed dates of the exercises will be announced later)

Lectures and exercises 35 h

Self-study 100 h

Course enrolment info

Please write down your personal student e-mail address of your home UAS in the registration form.