Data Analytics and Machine Learning (5 cr)
Code: TT00CO52-3001
General information
- Enrollment
-
29.11.2023 - 18.01.2024
Registration for the implementation has ended.
- Timing
-
08.01.2024 - 30.04.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Campus
- Kupittaa Campus
- Teaching languages
- English
- Seats
- 10 - 50
- Degree programmes
- Degree Programme in Information and Communications Technology
- Degree Programme in Business Information Technology
- Degree Programme in Information and Communication Technology
- Teachers
- Golnaz Sahebi
- Teacher in charge
- Golnaz Sahebi
- Groups
-
PTIETS22deaiPTIETS22 Data Engineering and Artificial Intelligence
-
PTIVIS22IData Engineering and AI
- Course
- TT00CO52
Realization has 4 reservations. Total duration of reservations is 12 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 03.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Theory and practice, Data Analytics and Machine Learning TT00CO52-3001 |
ICT_B1038
IT telakka
|
|
Wed 10.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Theory and practice, Data Analytics and Machine Learning TT00CO52-3001 |
ICT_C3036
Cyberlab / BYOD
|
|
Wed 17.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Data Analytics and Machine Learning TT00CO52-3001 |
ICT_C3036
Cyberlab / BYOD
|
|
Wed 24.04.2024 time 13:00 - 16:00 (3 h 0 min) |
Final presentations, Data Analytics and Machine Learning TT00CO52-3001 |
ICT_C3036
Cyberlab / BYOD
|
Changes to reservations may be possible.
Evaluation scale
H-5
Objective
After completing the course the student:
- Can define the main concepts related to machine learning
- Understands the value and the drivers for machine learning
- Can describe the processes of machine learning
- Can use some tools for data analytics and machine learning
Content
Machine learning process and methods
Practical work