Basics of Artificial Intelligence (AI) (5 cr)
Code: ICB011AS2AE-3007
Basic information of implementation
- Enrollment
- 02.06.2025 - 15.08.2025
- Enrollment for the implementation has begun.
- Timing
- 18.08.2025 - 10.10.2025
- The implementation has not yet started.
- ECTS Credits
- 5 cr
- Campus
- Pasila Campus
- Teaching languages
- English
- Seats
- 15 - 50
- Degree programmes
- ITBBA Business Information Technology
- Teachers
- X-Digi2 Digitaaliset palvelut2
- Jukka Remes
- Groups
-
CONTACTContact implementation
-
BLENDEDBlended implementation
-
EXCHEXCH Exchange students
-
ITE3PAICB1Business Information Technology, 3rd semester, ICT and Business, Pasila, group 1
-
ITE2PADIG1Business Information Technology, 2nd semester, Digital Services, Pasila, group 1
- Course
- ICB011AS2AE
Evaluation scale
H-5
Implementation methods, demonstration and Work&Study
- Virtual, blended and contact implementations
- Recognition of Prior Learning
Intro
In this course, we explore artificial intelligence (AI). What does artificial intelligence mean and what does intelligence mean? We neglect the coding part of the course since the focus of the course is to answer these questions.
Teaching methods and instruction
Weekly one common time slots: one 2-3 hours contact session that covers lectures, discussions and team work presentations. Lectures are not recorded. Learning the topics involves and requires studying course materials (incl. the book) outside common sessions. Assignments do not require deep technical (e.g. coding) understanding. Assignments have predefined schedules, late returns are accepted only as exceptions for a proper reason and late returns will result in reduction of points. Team work is done with others by default and not as a solo assignment without a proper reason and solo team work can affect the grade.
Assessment methods
The grade of the course is coming from assignments (65%; solo + teamwork) and quizzes (35%; threshold quiz and final quiz).