Introduction to Artificial Intelligence (3cr)
Code
General information
- Enrollment
- 05.01.2026 - 31.12.2027
- Registration for the implementation has begun.
- Timing
- 05.01.2026 - 31.12.2027
- Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- Institution
- Metropolia University of Applied Sciences, Karaportti 2
- Teaching languages
- Finnish
- Seats
- 0 - 500
- Course
- C-10065-TT00GU33
Unfortunately, no reservations were found for the realization Introduction to Artificial Intelligence C-10065-TT00GU33-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation methods and criteria
A pass mark for the course is awarded when all its required components have been successfully completed.
Evaluation scale
Hyväksytty/Hylätty
Content scheduling
The chapters of the course must be completed in order. 1. Introduction 2. Exploring data 3. Supervised machine learning 4. Unsupervised machine learning 5. Deep learning 6. Reinforcement learning
Objective
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence in practise.
Content
1. Introduction 2. Data exploration 3. Supervised machine learning 4. Unsupervised machine learning 5. Deep learning 6. Reinforcement learning
Location and time
The learning environment for the course is Metropolia's Viope World, and the course can be completed at your own pace.
Materials
The learning material can be found in Metropolia's Viopessa.
Teaching methods
The course is a 100% online, independently completed course.
Employer connections
N/A
Exam schedules
The course is completed by doing exercises.
International connections
N/A
Completion alternatives
N/A
Student workload
It depends on the student's starting level.