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Artificial Intelligence with Python (5 cr)

Code: DT10075-3001

General information


Enrollment
01.10.2022 - 31.10.2022
Registration for the implementation has ended.
Timing
29.01.2023 - 18.05.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Teaching languages
English
Degree programmes
Degree Programme in Business Information Technology
Teachers
Radu Mariescu-Istodor
Teacher in charge
Jyri Kemppainen
Course
DT10075

Evaluation scale

H-5

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

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

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

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