Artificial Intelligence with PythonLaajuus (5 cr)
Course unit code: DT10075
General information
- Credits
- 5 cr
- Teaching language
- English
- Responsible person
- Jyri Kemppainen, Vastuuopettaja
- Radu Mariescu-Istodor, Vastuuopettaja
Objective
- 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
Qualifications
- You master Python programming language, or
- You have completed Programming essentials in Python course
Recommended course: Data analytics with Python
Execution methods
- Lectures and exercises 35h
- Self-study 100h
Accomplishment methods
Course grading is based on continuous evaluation through weekly assignments
- Assignments are graded from 0 to 5, and the course grade is the average grade from these assignments.
The minimum grade for passing the course is 1