Fundamentals of Artificial Intelligence and Machine Learning
| Structure Type: | Study unit |
|---|---|
| Code: | TK00BR82 |
| Curriculum: | TK 2025 |
| Level: | Bachelor of Business Administration |
| Year of Study: | 2 (2026-2027) |
| Semester: | Autumn |
| Credits: | 5 cr |
| Responsible Teacher: | Rajala, Päivi |
| Language of Instruction: | Finnish |
Learning Outcomes
After the course the student understands the fundamental principles of artificial intelligence (AI) and machine learning (ML), as well as the operational principles of deep learning and generative AI. The student is able to analyze and apply machine learning models in diverse tasks and practical situations. Through hands-on exercises, the student learns to build and test simple machine learning models and identify their potential applications across various industries. The course integrates theoretical knowledge with practical training, providing a strong foundation for understanding and utilizing AI solutions.
Contents
Introduction to Artificial Intelligence: Concepts, History, and Current State
Principles of Machine Learning and Common Algorithms
Deep Learning Methods and Applications
Functionality and Applications of Generative AI, Foundation Models
Ethical Perspectives and Responsible Use of AI
Practical Exercises with Various AI Models and Tools
Effective Prompt Engineering
Small-Scale Project Work
Recommended or Required Reading and Other Learning Resources/Tools
Material specified by the teacher