Artificial Intelligence with Python (3 cr)
Code: C-10065-TT00EV76-3055
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-TT00EV76
Evaluation scale
Hyväksytty/Hylätty
Content scheduling
Course can be done in own pace. So, student can schedule her/his studies her-/himself.
Objective
After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence using Python Programming Language in practise.
Content
- Python Quick Recap - Python Arrays, Tables, Vectors, Matrices - AI: Short Description - AI: Regression 1 - AI: Regression 2 - AI: Classification 1 - AI: Classification 2 - AI: Miscellanae
Location and time
Course is delivered via Metropolia's Viope environment and it can be done in own pace.
Materials
Online.
Teaching methods
100% online (Self-Study) course.
Employer connections
N/A
Exam schedules
Online.
Pedagogic approaches and sustainable development
N/A
Completion alternatives
None.
Student workload
Course can be done in own pace. So, the timetable is up to student her-/himself.
Evaluation methods and criteria
After student has done at least 80% of tasks he/she can get grade pass.