IKT122 Success – AI Tools and Mindset for Goal Achievement (Spring 2027)
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Andreas Prinz
- Lecture Semester:
- Spring
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
Teaching language
Learning outcomes
After completion of the course, the student will:
- Understand the prerequisites and techniques to achieve goal attainment and personal development.
- Be able to develop and apply positive habits that support personal and academic success.
- Understand the concepts of motivation, reflection, and goal setting, and apply them in practice.
- Be able to work in a goal-oriented manner towards successful goal completion.
- Be able to use and adapt AI tools to achieve their own goals.
Contents
The course is based on research-based theories from cognitive science, psychology, and learning science. The course focuses on the development and application of evidence-based learning strategies and habit formation techniques that support goal attainment and sustained performance. The course contributes to the development of transferable skills such as self-regulation, reflective practice, goal-oriented planning, and the effective use of digital and AI-based tools. These competencies are relevant for both academic studies and future professional contexts.
The course has the following parts: 1) Mindset, 2) Be prepared, 3) Goals, 4) Planning, 5) Persistence.
In these topics, the following sub-topics will be covered: attitude, keeping in shape, SMART criteria, win-win, requirements, expectations, motivation, agility, handling mistakes, making good decisions, perspective, mental models, habits and habit change, time management, WOOP, AI tools, AI adaptations, and positive psychology.
Teaching and learning methods
Examinations
Portfolio examination. Passed/not passed.
The portfolio includes quizzes and reports answering course exercises.