Introduction to Artificial Intelligence 2

Brigitte Krenn
Arts and Society, Cross-Disciplinary Strategies
2020S, Lecture and Discussion (VD), 1.0 ECTS, 1.0 semester hours, course number S03315

Description

The course gives an introduction to Artificial Intelligence (AI). Starting from general concepts and a brief discussion of what AI is, we will mainly focus on aspects of machine learning (ML). This will include a discussion of which problems are suitable for ML, how the learning data may influence the selection of the learning model and the outcome of the learning process, etc. As far as possible, practical examples will be given.

Examination Modalities

For positive completion of the course, the following subaspects need to be fulfilled:

1) Class room attendance is required. Due to Corona virus, all classes will be held as online meetings via Zoom. The Zoom link will be communicated via e-mail (Base) the day before the class. (One Link for all classes.)

2) Student presentations regarding selected questions from the subject matter will be requested during the semester. The work should be done in small groups whenever possible. Presentations will be given during the Zoom classes.

3) Positive result in end of term test: At the last session (17.6.2020) each working group will present their machine learning experiment and resulting learnings (approx. 5 mins talks) to the plenary. In addition, each group will have published by June 17 a blogpost on cdslab.uni-ak.ca.at describing their ML experiment and outcome in more detail. More details on the blog publication functionality will be given during the session on June 5.

 

 

Comments

Students from other faculties or universities will be given a place on the course subject to room capacities.

Key Words

Artificial Intelligence, Machine Learning

Dates

06 March 2020, 12:45–14:30 Cross-Disciplinary Strategies – Lecture Room
03 April 2020, 12:45–15:15
29 April 2020, 12:45–13:20, "Meeting to discuss the datasets the student working groups will be using in their hands-on machine learning experiments." (preliminary discussion)
22 May 2020, 12:45–15:15
05 June 2020, 12:45–15:15
12 June 2020, 12:45–15:15 , "no lecture due to Rector's day! Instead use the time to experiment with Teachable Machine and prepare your bog post."
17 June 2020, 12:45–13:30 , "all working groups, give a short presentation (5mins) of your ML experiment" (examination)

Course Enrolment

From 18 February 2020, 12:45 to 06 March 2020, 23:55
Via online registration

co-registration: possible

Cross-Disciplinary Strategies (Bachelor): Foundation: Science and Technology

Individual courses: possible