Artificial Intelligence in StudiesLaajuus (1 cr)
Code: NN00HA39
Credits
1 op
Objectives
Discover artificial intelligence: Learn its fundamentals and its impact on education now and in the future. This course is a comprehensive introduction to the world of artificial intelligence and provides students with the essential knowledge and practical skills to understand the fundamentals of AI, its applications, and ethical perspectives.
Upon successful completion of the course, students will have gained knowledge and skills to:
• understand the basic concepts of AI as well as its historical development
• explore the applications of AI across different fields
• understand the concepts of AI forms, machine learning, neural networks, and deep learning, as well as their differences
• explore the use of AI in supporting learning, as well as understand its application areas and impacts on education now and in the future
• develop the ability to assess the impacts of AI applications on society and ethical issues
Content
• Introduction to Artificial Intelligence: An overview of AI development and the role of AI in the modern world.
• AI Applications: Introduction to AI applications in various fields, such as healthcare, transportation, and entertainment.
• Narrow AI vs. General AI: Exploring the concept of narrow AI, its applications, and differences compared to general AI.
• Machine Learning and Neural Networks: Basics of machine learning, the structure of neural networks, and their operation within the context of deep learning.
• Deep Learning and Language Models: Understanding the principles of deep learning and the role of language models, such as GPT, in the development of AI.
• Utilizing AI in Learning: Examples of AI applications in supporting learning and its potential for future education.
• Ethical Considerations and Societal Impacts: Discussion on the ethical questions of AI, privacy, data security, and its impact on the workforce.
• The Future of AI: Reflections on the future directions, possibilities, and challenges of AI, as well as the role of students in this development.
Prerequisites
No prerequisites.
Assessment criteria, pass/fail
The course is approved when the student has demonstrated understanding of the fundamentals of artificial intelligence, its applications, and ethical considerations, as well as the ability to utilize this knowledge in their studies.
Enrolment period
01.08.2024 - 31.07.2025
Timing
01.08.2024 - 31.08.2025
Credits
1 op
Mode of delivery
Contact teaching
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 300
Teachers
- Toni Pippola
Person in charge
Toni Pippola
Groups
-
VAPAA
Objectives (course unit)
Discover artificial intelligence: Learn its fundamentals and its impact on education now and in the future. This course is a comprehensive introduction to the world of artificial intelligence and provides students with the essential knowledge and practical skills to understand the fundamentals of AI, its applications, and ethical perspectives.
Upon successful completion of the course, students will have gained knowledge and skills to:
• understand the basic concepts of AI as well as its historical development
• explore the applications of AI across different fields
• understand the concepts of AI forms, machine learning, neural networks, and deep learning, as well as their differences
• explore the use of AI in supporting learning, as well as understand its application areas and impacts on education now and in the future
• develop the ability to assess the impacts of AI applications on society and ethical issues
Content (course unit)
• Introduction to Artificial Intelligence: An overview of AI development and the role of AI in the modern world.
• AI Applications: Introduction to AI applications in various fields, such as healthcare, transportation, and entertainment.
• Narrow AI vs. General AI: Exploring the concept of narrow AI, its applications, and differences compared to general AI.
• Machine Learning and Neural Networks: Basics of machine learning, the structure of neural networks, and their operation within the context of deep learning.
• Deep Learning and Language Models: Understanding the principles of deep learning and the role of language models, such as GPT, in the development of AI.
• Utilizing AI in Learning: Examples of AI applications in supporting learning and its potential for future education.
• Ethical Considerations and Societal Impacts: Discussion on the ethical questions of AI, privacy, data security, and its impact on the workforce.
• The Future of AI: Reflections on the future directions, possibilities, and challenges of AI, as well as the role of students in this development.
Prerequisites (course unit)
No prerequisites.
Assessment criteria, pass/fail (course unit)
The course is approved when the student has demonstrated understanding of the fundamentals of artificial intelligence, its applications, and ethical considerations, as well as the ability to utilize this knowledge in their studies.
Assessment scale
0-5