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Data Analytics and Machine Learning (5 cr)

Code: TT00CO52-3001

General information

Enrollment

29.11.2023 - 18.01.2024

Timing

08.01.2024 - 30.04.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Engineering and Business

Campus

Kupittaa Campus

Teaching languages

  • English

Seats

10 - 50

Degree programmes

  • Degree Programme in Information and Communication Technology
  • Degree Programme in Business Information Technology
  • Degree Programme in Information and Communications Technology

Teachers

  • Golnaz Sahebi

Teacher in charge

Golnaz Sahebi

Groups

  • PTIETS22deai
    PTIETS22 Data Engineering and Artificial Intelligence
  • PTIVIS22I
    Data Engineering and AI
  • 17.01.2024 13:00 - 15:00, Start, Data Analytics and Machine Learning TT00CO52-3001
  • 24.01.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 31.01.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 07.02.2024 15:00 - 18:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 14.02.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 28.02.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 06.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 13.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 20.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 27.03.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 03.04.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 10.04.2024 13:00 - 16:00, Theory and practice, Data Analytics and Machine Learning TT00CO52-3001
  • 17.04.2024 13:00 - 16:00, Data Analytics and Machine Learning TT00CO52-3001
  • 24.04.2024 13:00 - 16:00, Final presentations, Data Analytics and Machine Learning TT00CO52-3001

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

Evaluation scale

H-5