AI Series: Introduction to AILaajuus (5 cr)
Code: AT00DH88
Credits
5 op
Teaching language
- English
Objective
- Understanding AI: Gain a clear definition of AI, its scope, and related fields such as machine learning, deep learning, robotics, and natural language processing (NLP).
- Evolution and Impact of AI: Explore the historical milestones of AI and its transformative impact on different sectors.
- AI Applications: Learn about AI applications in healthcare, finance, transportation, retail, education, and agriculture.
- Machine Learning Basics: Delve into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
- Neural Networks and Deep Learning: Explore neural networks, deep learning, and their applications in AI.
- Ethical Considerations in AI: Examine the ethical concerns and societal implications of AI, including privacy, bias, transparency, and job displacement.
Enrollment
01.08.2025 - 31.07.2026
Timing
01.08.2025 - 31.07.2026
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- English
Degree programmes
- Complementary competence, Bachelor's
Teachers
- Juhani Grape
- Saku Syngelmä
Groups
-
TLABTO25-26EComplementary competence (Bachelor's) 2025-2026, Faculty of Technology
-
TLABTO25-26
Learning outcomes
- Understanding AI: Gain a clear definition of AI, its scope, and related fields such as machine learning, deep learning, robotics, and natural language processing (NLP).
- Evolution and Impact of AI: Explore the historical milestones of AI and its transformative impact on different sectors.
- AI Applications: Learn about AI applications in healthcare, finance, transportation, retail, education, and agriculture.
- Machine Learning Basics: Delve into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
- Neural Networks and Deep Learning: Explore neural networks, deep learning, and their applications in AI.
- Ethical Considerations in AI: Examine the ethical concerns and societal implications of AI, including privacy, bias, transparency, and job displacement.
Assessment scale
1-5