To help you get off to a good start, we have put together a course schedule for Summer Semester 2022/23. This schedule is only a recommendation and can be adjusted to your personal schedule. Please find live streams to Vienna/Bregenz marked with a violet colored upper left corner.

Types of Courses

The program contains the following types of courses:

Each year in September, before the start of the winter term, JKU offers preparation courses in Python Programming (ASTAIBAPPPV20, opens an external URL in a new window) for new AI students. These courses are entirely voluntary and can be booked via KUSSS.

• The AI program offers a brand new (fifth) option for the obligatory Gender Studies course with the title “Gender and Diversity in Computer Science and Engineering: Perspectives from Sociocultural Studies and Ethics”, opens an external URL in a new window. It will be held for the first time this Winter Term 2022/23. Then it will be held again in Summer Term 2023 and in all subsequent Summer Terms.
   
• Prof. Richard Küng will teach a brand new lecture on “Quantum Computing”, opens an external URL in a new window this Winter Term. This course does not appear yet in our list of Area of Specialiation courses, but we will of course accredit it. You need not use the pre-check form but can directly apply for the accreditation of “Quantum Computing” for “Area of Specialization” at the Examination and Recognition Services.

In order to complete the AI program, students will be required to come to Linz in person at least once in order to officially enroll in the degree program. Some courses will require in-person attendance either in Linz, Bregenz or Vienna.
Students are required to be physically present to take examinations either in Linz, Bregenz or in Vienna. Examinations take place during the course of the entire semester. The curriculum has been designed for students residing in close proximity to Linz, Bregenz or Vienna. 

Many courses in the AI program are offered at the JKU's satellite campus in Vienna and Bregenz as either a live stream or as a video conference.

Courses are usually offered only once per year. Starting the study program in a Summer Semester is possible. However, it will require adaption of the course of study compared to the suggested global map of study subjects which is designed for starting in Winter Semester.

Students can choose their Area of Specialization courses from the list in the study guide freely, i.e. from different sections. The section headlines “Computer and Data Science”, “Mathematics”, “Mechatronics”, “Live Sciences”, “Special Topics”, and “Miscellaneous” in the study guide exist merely for readability.

“Seminar in AI” (3 ECTS, 4th semester, Summer terms) and the “Practical Work in AI” (7.5 ECTS, 5th semester, Winter terms) should prepare the students for their Bachelor’s thesis (6th semester, Summer terms), although they are allowed to switch their subject again if they want. Teachers should offer these courses if they would like to supervise Bachelor students. The courses offered by different institutes will appear as different “group options” for the students in Kusss.
The Bachelor Thesis itself is formally supervised via the “Bachelor’s Thesis Seminar in AI” (9 ECTS, 6th semester, Summer terms). This course, however, is in fact offered in every term, to allow students to finish their Bachelor’s also in a Winter term.

At the beginning of October, tutor groups of first-semester students are formed during the first lecture in "KV : Lecture Series Artificial Intelligence". The tutors (higher-semester AI students) show the first-year students around the university, help them choose the right courses and give practical tips on lectures, exercises and practicals. The social aspect is not neglected either, so it is not difficult to make friends in the first few weeks with whom you can solve study problems together. Often, these friendships last throughout your studies and beyond.

Each tutorial group is assigned a mentor from among the AI professors. As soon as the tutor groups have established themselves, they visit their mentors together, who supervise the students individually during the first semester. All questions about the course of study may be addressed during these visits. Any problems that arise are solved quickly and unbureaucratically.

If you have open questions regarding the AI program which are not answered in the information above or in this info file, opens an external URL in a new window, please feel free to contact us:

Contact email of the AI office in Linz: office@ai-lab.jku.at

Contact email of the AI office in Vienna: ai-wien@jku.at

Contact email of the AI office in Bregenz: ai-bregenz@jku.at

Contact email of the Student Union for Computer Science and AI: informatik-ai@oeh.jku.at

Please also see the webpage of the Student union, opens an external URL in a new window and their Study Guide for Artificial Intelligence, opens an external URL in a new window