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Course unit, curriculum year 2023–2024
TIJO.650

Directed Study in Management and Information Technology, 2–8 cr

Tampere University

Directed Study in Management and Information Technology (Participation in teaching), Finnish

Type
Participation in teaching
Language of instruction
Finnish
Credits
2–8 cr
Grading scale
Pass-Fail
Responsible organisation
Faculty of Management and Business 100 %

Scheduled teaching

Course unit realisation

Directed Study in Management and Information Technology, Independent project

Independent project (Finnish)
30.8.2023 – 31.7.2024
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Active in period 5 (1.6.2024–31.7.2024)
Course unit realisation

Directed Study in Management and Information Technology, Lectures Lean Startups

Lectures (English)
16.10.2023 – 11.12.2023
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
Course unit realisation

Directed Study in Management and Information Technology, Independent project for exchange students; Digital Health Systems

Independent project (English)
1.12.2023 – 30.6.2024
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Active in period 5 (1.6.2024–31.7.2024)
Course unit realisation

Directed Study in Management and Information Technology, AI Integrated Software Products

Lectures (English)
4.12.2023 – 4.12.2023
Active in period 2 (23.10.2023–31.12.2023)
Utilizing AI as a part of a software product.

In this course the students will be given tasks designed by companies/organizations. The tasks will require utilization of AI-powered tools, APIs or solutions in combination with software design to produce software prototypes. The prototypes (task results) will be presented in a public event. The students will be able to choose some of the tools they use, some will be sponsored by companies for use on the course.

The students will learn:

- How to integrate AI into software products (prototypes).

- How to rapidly design and implement use case specific prototypes

- How to improve their presentations skills, and get experience in presenting their work in a public event

Passing the course requires the study of materials and tasks published before the course, and active participation on the public event organized on the course.

Study methods
Learning material
Learning environments