Due to the still ongoing pandemic, this course will be held virtually.
Lecturer: Prof. Tapio Elomaa - email@example.com
Katri Leinonen - firstname.lastname@example.org
Jenni Hukkanen - email@example.com
Instead of traditional two-hour lectures, the course offers the students a
number of introductions to various topics in the field of AI. These
introductions are short video presentations with slides, around 30 minutes per
topic. Introductions are published each week.
Q&A session timetable:
The participation in the online Q&A sessions is voluntary. In every session,
two of the TAs are present in a Zoom call. The students may enter the call and
ask questions about the course activities, and the TAs will do their best to
assist the student.
The sessions are held each week from 2022-30-05 to 2022-07-17:
Tuesday, at 15-17.
Zoom link to session: https://tuni.zoom.us/j/69846958622?pwd=VFE2bmtmTEtZY3NaK21HRDJWaStaQT09
If this time is not suitable for you, please contact the course staff!
The following list will be updated to include all the lecture slides as soon
as they are published.
Solving problems by searching
Informed search strategies
Beyond classical search
Constraint Satisfaction Problems
Independence and Bayes Rule
Probabilistic reasoning & Bayesian networks
Markov Decision Process
MDP Algorithms & Bellman Equations
Natural language processing
[Optional Reading]: Natural language for communication
The course is based on the book:
Artificial Intelligence: A Modern Approach, by Stuart J.
Russell and Peter Norvig.
Although the fourth edition has been published, the third edition is used due
to its wider availability. The electronic book is available for students in
the TUNI library. We have chosen to cover a set of five central AI topics in
this course. Pattern recognition and machine learning algorithms are mostly
covered in other courses.
The following textbook chapters will be included:
Very useful lecture series on AI from Harvard University:
Another useful lecture series on AI from Berkeley University: