Introduction to Artificial Intelligence (3 cr)
Code: C-10065-TT00EV75-3059
General information
- Enrollment
- 05.08.2024 - 31.12.2025
- Registration for the implementation has begun.
- Timing
- 05.08.2024 - 31.12.2026
- Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Blended learning
- Institution
- Metropolia University of Applied Sciences, Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 5000
- Course
- C-10065-TT00EV75
Evaluation scale
Hyväksytty/Hylätty
Content scheduling
Course is self-study course, so, student can schedule course her-/himself.
Objective
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence in practise.
Content
- Introduction - Data Exploration - Supervised learning - Unsupervised learning - Deep Learning - Reinforcement learning
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Materials
All of course material is online in Metropolia's Viope.
Teaching methods
Course is 100% online (Self-Study) course and it can be done in own pace.
Employer connections
N/A
Exam schedules
N/A
International connections
N/A
Completion alternatives
N/A
Student workload
Course is self-study course, so, timetable is totally up to student her-/himself.