Basics of Artificial Intelligence (AI) - ICB011AS2AE - Opinto-opas

Basics of Artificial Intelligence (AI), 5 cr - ICB011AS2AE

Upcoming implementations

Basics of Artificial Intelligence (AI) ICB011AS2AE-3004 13.01.2025-14.03.2025 5 op (BLENDED, ...) +-
Campus

Pasila Campus

Teaching language

English

Timing

13.01.2025 - 14.03.2025

Enrollment

02.01.2025 - 10.01.2025
Groups
- BLENDED
- EXCH
- ITE3PAICB1
- ITE2PADIG1
- CONTACT
Teachers

Jukka Remes

Seats

15 - 40

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5

Current implementations

No ongoing implementations yet.

Past implementations

Basics of Artificial Intelligence (AI) ICB011AS2AE-3005 19.08.2024-11.10.2024 5 op (BLENDED, ...) +-
Teaching methods and instruction

Weekly two reserved time slots: one 2 hours contact lecture and one 2 hours time slot for exercises/workshops. Participation is not compulsory. Lectures are not recorded.

Campus

Pasila Campus

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Enrollment

03.06.2024 - 16.08.2024
Groups
- BLENDED
- EXCH
- ITE3PAICB1
- ITE2PADIG1
- CONTACT
Teachers

Jukka Remes

Seats

15 - 40

Further information

Grading points division plan (migth have minor changes depending on final course program): Exercises 70%, Exam 30%

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5
Basics of Artificial Intelligence (AI) ICB011AS2AE-3002 15.01.2024-15.03.2024 5 op (BLENDED, ...) +-
Teaching methods and instruction

Two sessions per week, the one is a contact lesson in Pasila Campus and the other one is online session. Participation to the sessions is not mandatory, but highly recommended. Sessions are not recorded.

Learning material and recommended literature

The course have weekly themes and related material on Moodle.

Campus

Pasila Campus

Exam dates and re-exam possibilities

The course has assignments and quizzes, no exam.

Teaching language

English

Timing

15.01.2024 - 15.03.2024

Learning assignments

The course contains one big team work, smaller assignments and quizzes. The team work can be done individually but it effects to the grade (some points are reduced).

Enrollment

02.01.2024 - 12.01.2024

Content scheduling

The threshold assignment (quiz) must be done during the first week of the course in order to continue at the course. Other assignments have also recommended deadlines, if not followed, it might effect to the grade (some points reduced).
Groups
- BLENDED
- EXCH
- ITE3PAICB1
- ITE2PADIG1
- CONTACT
Alternative learning methods

Prior learning can be recognized.
Please contact the teacher latest during the first week of the course.

Teachers

Anne Wuokko, Jukka Remes

Seats

15 - 40

Further information

Assignments 65% (incl. team work 35%)
Quizzes 35%
(might come minor changes)

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5

Upon completion of the course, 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

* 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

- Virtual, blended and contact implementations
- Recognition of Prior Learning

- Selected parts of course e-book
- Online materials and learning environments of AI solution providers
- Lecture materials

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.

When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25%, your grade will be lowered by one. If you are absent more than 50%, the course is failed.

No pre requirements

The student:
- Knows the basic concepts of artificial intelligence
- Recognizes the importance of artificial intelligence in business
- Knows the most common AI methods
- Knows th basics of technical solutions
- Knows the needs and challenges of artificial intelligence projects and continuous development
- Recognizes AI trends and ethical challenges

In addition to the above the student:
- Understands how artificial intelligence affects business
- Understands in general the possibilities and limitations of various artificial intelligence software, platforms and services
- Understands how it is possible to improve practices in artificial intelligence projects and continuous development
- Understands the implications and ethical challenges of AI trends

In addition to the above the student:
- Is able to assess the best methods for the practical applications of artificial intelligence
- Is able to compare the capabilities and limitations of different AI software, platforms and services
- Is able to contribute to the organization's artificial intelligence projects and continuous development
- Is able to analyze the effects of artificial intelligence trends and ethical challenges from the perspectives of individual organizations and society