Introduction to Artificial Intelligence (3 cr)
Code: C-10065-TT00EV75-3059
General information
- Enrolment period
- 05.08.2024 - 31.12.2025
- Registration for the implementation has begun.
- Timing
- 05.08.2024 - 31.12.2026
- Implementation is running.
- Credits
- 3 cr
- Institution
- Metropolia University of Applied Sciences, Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 5000
- Course
- C-10065-TT00EV75
Objectives (course unit)
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence in practise.
Content (course unit)
- 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.
Exam schedules
N/A
Assessment methods and criteria
After student has done at least 80% of tasks he/she can get grade pass.
Assessment scale
Hyväksytty/Hylätty
Teaching methods
Course is 100% online (Self-Study) course and it can be done in own pace.
Learning materials
All of course material is online in Metropolia's Viope.
Student workload
Course is self-study course, so, timetable is totally up to student her-/himself.
Content scheduling
Course is self-study course, so, student can schedule course her-/himself.
Completion alternatives
N/A
Practical training and working life cooperation
N/A
International connections
N/A