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 completing the course, the student will have a solid understanding of the fundamental principles of generative artificial intelligence, machine learning, and deep learning, as well as their practical application to problem-solving. The student will be capable of analyzing and selecting suitable machine learning models for various tasks and contexts. Through hands-on exercises, the student will learn to design, implement, test, and evaluate simple machine learning models and identify their potential applications across different industries. The course integrates theoretical knowledge with practical skills, providing a strong foundation for developing and utilizing AI-driven 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