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Basics of Artificial Intelligence (5 cr)

Code: TP00BN26-3001

General information


Enrollment
01.04.2019 - 07.04.2019
Registration for the implementation has ended.
Timing
01.05.2019 - 30.06.2019
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
1 cr
Virtual proportion
4 cr
Mode of delivery
Blended learning
Campus
Laurea Leppävaara
Teaching languages
English
Seats
10 - 10
Degree programmes
Laurea täydentävä osaaminen, amk-tutkinto (TOH2), Kauppa, hallinto ja oikeustieteet
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
TP00BN26

Learning outcomes

The student is able to:
• understand what is AI and how it can affect business
• recognize opportunities of AI in different domains
• is able to 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

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

Materials

TBA later

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

Employer connections

-

Exam schedules

Mon 10.4. Pre-assignment published
Mon 24.4..: DL for pre-assignment
Thu 2.5. notification of acceptance and beginning of individual work
Weeks 21 - 23 classes at 16.30 -19.30
Week 21:
- Monday 20.5.2019, at MS: Career Night
- Wednesday 22.5.2019: Introduction, project work description and assignment 2 is given
Week 22:
- Monday 27.5., project teams
- Wednesday 29.5.: Assignment 2 based discussions
Week 23:
- Monday 3.6.2019
- Wednesday 5.6.2019 project work presentations
Week 24
- Tuesday 11.6. Final project work is due

International connections

-

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

H-5

Further information

This is a course planned in co-operation with Laurea, Microsoft, and partner companies, who are keen to grow and develop new AI talent. The focus is on the practical application of AI concepts, tools and methods to address business needs and improve business processes. The course is more about how companies are using AI solutions in their operations and less about AI as a science. Some of the AI tools covered in the course are based on Microsoft’s technologies. Representatives of Microsoft’s partner companies will participate as guest lecturers. A Career Night event on May 20th will be organized at Microsoft premises at Keilalahti with the partner companies, where you will have a chance to negotiate AI related internships and thesis topics with the companies.

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