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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)
Teachers
Lassi Tissari
Teacher in charge
Lassi Tissari
Study unit
TP00BN39

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

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