Program Details.

Detailed information about the ideal recommended study plan, etc. is available here.

Semester Schedule for the 2022/2023 Winter Semester

To help you get off to a good start, we have put together the second-semester schedule for the Winter Semester. This schedule is only for reference and can be adjusted to your personal schedule. The livestreams to Vienna/Bregenz are marked in violet in the upper left corner.

News

  • Beginning this Winter Semester, Prof. Richard Küng will teach a brand new course titled “Quantum Computing”, opens an external URL in a new window. The course is not yet listed in the Areas of Specialization courses but naturally you will get academic credit. In order to get credit for "Quantum Computing", you will not need to fill out a pre-check form but rather apply directly for academic credit for the “Areas of Specialization” at the Office of Examinations and Recognition Services.
  • Summer Term 2023: Due to the retirement of Prof. del Re, the courses “Introduction to Autonomous Systems” (VL+UE, 4.5 ECTS) will be replaced by “Introduction to Autonomous Vehicles” (KV, 6 ECTS), taught by Prof. Olaverri-Monreal. The curriculum will be adapted accordingly coming into effect with October 2023. Students following the current study plan can of course accredit the new course (6 ECTS) for the old ones (4.5 ECTS) plus 1.5 ECTS Area of Specialzation, i.e. 6 ECTS for 6 ECTS.

Remote Learning

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 on-site and 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 will 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 of the courses in the AI program are offered at the JKU's satellite campus in Vienna and Bregenz, as either as a livestream or as a video conference.

Course Information

Courses are usually offered only once a year. You can enroll during the Summer Semester to begin studying AI however, you may be subject to adjusting your schedule differently compared to the suggested schedule of courses. There are many that begin at the start the Winter Semester and not at the start of the Summer Semester.

Seminars and Practical Work

The “Seminar in AI (Master's program)” (3 ECTS credits, 3rd semester, Winter Semester) and “Practical Work in AI (Master's progrm)” (7.5 ECTS credits, 3rd semester, Winter Semester) have been designed to help students prepare to write the required Master’s degree thesis; students can, however, switch their subject area again, if they wish to. Different institutes will offer the courses which students will see as different “group options” in KUSSS. Faculty members will offer these courses when supervising undegraduate students. The Master’s thesis itself is formally supervised via the “Master’s Thesis Seminar” (3 ECTS credits, 4th semester, Summer Semeter). This course is, however, offered during each semester, allowing students to complete their Masters’s degree during the Winter Semester as well.

Master Thesis Examination

The Master's degree examination is outlined in curriculum and consists of two sections. The first section requires the student to successfully complete all of the required subjects and the elective track in accordance with §§ 4 and 5 of the curriculum. The second section of the Master’s degree examination is a comprehensive oral examination (1.5 ECTS credits).

As part of the oral examination, the student will be asked to create a 3-member examination committee consisting of a committee head (member 1) and two additional members (members 2 and 3). This first committee member may not be a thesis supervisor and will preside over the oral defense. The second committee member will conduct an examination in the subject area of “Machine Learning and Perception”. The third committee member will conduct an examination in regard to the selected elective track. The thesis supervisor should also be a member of the committee. Whereas two committee members may be from the same institute, all of the committee members should not be from the same institute.

The oral exam consists of three sections (20 minutes each): The first section requires presenting and defending the Master’s thesis (a 15-minute presentation, plus 5 minutes of Q&A). The head of the committee will preside over this section and provide a grade. The second and third sections (20 minutes each) will focus examining the required and elective track subjects (see the paragraph above); committee members 2 and 3 will conduct and grade this section.

In general, the Master’s examination may cover all of the subjects that the student has taken during the Master’s degree program. Examiners will not narrow the examination content too much beforehand. In addition, all three of the examiners are encouraged to actively take in all three sections of the examination. Nevertheless, each examiner will be formally assigned one section of the examination and is responsible for grading. The overall grade is the rounded average from the three individual grades.

Please use this form, opens a file to sign up for the Master's examination (in the form, the committee head and the first examiner are one and the same person). The first section of the oral examination is already filled in as "Presentation and Defense of Master’s Thesis" (in German). Subject two should read “Machine Learning and Perception”, and subject three should be the selected elective track.

Contacts

If you have any questions or concerns regarding the AI program that have not been addressed above or in this info file, opens an external URL in a new window, please feel free to contact us by sending an e-mail to::

 

The AI office in Linz: office@ai-lab.jku.at

The AI office in Vienna: ai-wien@jku.at

The AI office in Bregenz: bregenz@fernstudien.at

The Austrian Student Union for Computer Science and AI: informatik-ai@oeh.jku.at

Please also see: Austrian Student Union, opens an external URL in a new window and the Study Guide for Artificial Intelligence, opens an external URL in a new window

Additional information

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