Study Guide

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.

Implementation and methods of teaching

Independent online course

Timing and attendance

You can complete the course at your own pace as long as it's available

Learning material and recommended literature

All the needed material is in the course. This also includes videos, ebooks and audio lessons.

Student time use and work load

The course offers 5 ECTS credits worth of content

Contents

Students learn the foundational concepts, key terminologies, and practical applications of AI, and understand its significant impact across various sectors. This course will equip students with the knowledge to grasp AI's core principles and its diverse applications in fields like healthcare, finance, transportation, and more.

Additional information for students: previous knowledge etc.

Basic understanding of programming and fundamental data concepts.
This course is a part of the AI series of courses. You don't need to complete the other courses to do this one, but you can also do those if you found this course interesting.

Assessment scale

Approved/Failed