Study Guide

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

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

Location and time

Haaga--Helia - Campus Pasila - 21.10 - 13.12.2019 (weeks 43 - 50)

Students workload

Lectures and workshops 6 X 4h = 24 h
Independent study and teamwork 110 h
Self-assessment of learning assignment (1 h)

Further information for students

Teacher(s) responsible
Lili Aunimo, Pasila, Haaga-Helia
Heli Lankinen, Pasila, Haaga-Helia
Lassi Tissari, Leppävaara, Laurea

Grading scale

Approved/Failed

Evaluation methods and criteria

Project work in team 40%
Individual assignments (pre-assignment and three other) 50%
Activeness at lectures and workshops 10%
The self- assessment of learning assignment does not impact your grade. The assignment is the same for all courses/modules and your answers will be used also for course/module development.
The assignment is completed online