Basics of Artificial Intelligence (5 cr)
Code: TP00BN39-3001
General information
- Enrollment
-
09.09.2019 - 15.09.2019
Registration for the implementation has ended.
- Timing
-
21.10.2019 - 13.12.2019
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 1 cr
- Virtual proportion
- 4 cr
- Mode of delivery
- Blended learning
- Teaching languages
- English
- Seats
- 10 - 10
- Degree programmes
- Complementary competence, bachelor’s studies in English (CCH2), Business, administration and law
- Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT)
Learning outcomes
The student is able to:
- understand what is AI and how it can affect business
- recognize opportunities of AI in different domains
- analyze and visualize data
- knows the basic statistical methods used in data analysis
- knows how to use software to perform data analysis
- knows how to apply some basic methods used in AI
- knows trends in AI
- can recognize ethical challenges related to applying AI in business
Location and time
Haaga--Helia - Campus Pasila - 21.10 - 13.12.2019 (weeks 43 - 50)
Teaching methods
Lectures and workshops 6 X 4h = 24 h
Independent study and teamwork 110 h
Self-assessment of learning assignment (1 h)
Course Conent
• definition of AI and basic concepts related to it
• business cases where AI is used
• methods and software for data analysis and visualization
• basics of statistical data analysis methods
• application of AI methods in a project work
• recent trends in AI
• ethical issues in AI
Student workload
Lectures and workshops 6 X 4h = 24 h
Independent study and teamwork 110 h
Self-assessment of learning assignment (1 h)
Evaluation scale
Approved/Failed
Further information
Teacher(s) responsible
Lili Aunimo, Pasila, Haaga-Helia
Heli Lankinen, Pasila, Haaga-Helia
Lassi Tissari, Leppävaara, Laurea