Artificial Intelligence with Python (5cr)
Code: DT10075-3002
General information
- Enrollment
- 01.10.2022 - 26.02.2023
- Registration for the implementation has ended.
- Timing
- 13.03.2023 - 25.05.2023
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Information and Communication Technologies (DATA)
- Campus
- Wärtsilä Campus Karjalankatu 3
- Teaching languages
- English
- Seats
- 20 - 40
- Degree programmes
- Degree Programme in Business Information Technology
- Teachers
- Radu Mariescu-Istodor
- Petri Laitinen
- Jyri Kemppainen
- Teacher in charge
- Radu Mariescu-Istodor
- Scheduling groups
- Pienryhmä (schedulingGroup) 1 (Size: 20 . Open UAS : 20.)
- Pienryhmä (schedulingGroup) 2 (Size: 10 . Open UAS : 0.)
- Small groups
- Pienryhmä (schedulingGroup) 1
- Pienryhmä (schedulingGroup) 2
- 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
Content
Artificial neural networks
Python libraries for neural networks
Teaching 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
- Lectures and exercises 35h
- Self-study 100h
Qualifications
- You master Python programming language, or
- You have completed Programming essentials in Python course
Recommended course: Data analytics with Python
Further information
Recommended course: Data analytics with Python, or
You master Python programming language, or
You have completed Programming essentials in Python course