Artificial intelligence and machine learningLaajuus (5 cr)

Objective

You can develop and apply AI and machine learning solutions to various problems.
You master the key principles of deep learning and machine learning.
You can analyze and preprocess data for machine learning.
You understand the ethical and societal considerations in developing AI solutions.

Content

What are the fundamentals of AI and machine learning?
What are machine learning algorithms and methods like?
What are the principles of deep learning and neural networks?
How is data preprocessed and analyzed?
How are models assessed and optimized?
What ethical and societal considerations relate to AI?

Qualifications

Completing the course requires knowledge of software architecture, comprehensive software development and basics of databases.

Evaluation

Students can
a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
e. use the key models, methods, software, and techniques of the professional field.