Artificial Intelligence with Python (5 cr)
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
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
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