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Program Details.

Learn more here about what the ideal recommended study plan looks like, etc.

Semester Schedule for Summer Semester 2020

To help you get off to a good start, we have put together a second-semester course schedules for Summer Semester 2020. These schedules are only a recommendation and can be adjusted to your personal needs.

Types of Courses

The program contains the following types of courses:

Abbreviation Description
KV (Kombinierte Lehrveranstaltungen) Combined Courses
VL (Vorlesung) Lecture
UE (Übung) Exercises

 

Distance Learning

To complete the AI Program students have to come to Linz in person at least once in order to officially enroll in the degree program and some courses will require their physical presence either in Linz or Vienna.
Examinations must be taken in person in Linz or Vienna, they are distributed over the whole semester. The curriculum is designed for people living close to Linz or Vienna. 

Many courses of the AI program are offered at the JKU's satellite campus in Vienna in the form of a live stream or as a video conference. Course overview and details for the current semester are in the following available:

All Master Students

UE Deep Learning and Neural Nets II

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • jupyter notebooks assignments

Evaluation Criteria

  • Regular on-line assignments (Moodle)

VL Deep Learning and Neural Nets II

Content provided as

  • recording in Moodle (stream available for 2 weeks)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • lecture slides online (after each lecture)

Evaluation Criteria 

  • final exam on-site (Linz or Vienna)

 

KV Deep Reinforcement Learning

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • lecture slides online (after each lecture)

Evaluation Criteria

  • Regular online test-type exams (Moodle if possible)
  • Regular on-line assignments (Moodle)
  • Final presentation (in the same lecture room)
  • Final on-line exam (for those who didn't pass/make the regular exams

UE Theoretical Concepts of Machine Learning

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • if technically possible: one-way live-stream to students’ end devices
  • slides online

Evaluation Criteria

  • final exam on-site (Linz or Vienna)
  • regular online Assignments

VL Theoretical Concepts of Machine Learning

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream to the JKU's satellite campus in Vienna
  • lecture notes and slides online

Evaluation Criteria

  • regular exams on-site (3x 20minutes) during the lecture-time.

 

 

VL AI and Law

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream to the JKU's satellite campus in Vienna
  • slides online

Evaluation Criteria

  • Written final exam on-site plus retry exam (Linz and Vienna)
  • No attendance required during regular classes

KV Robopsychology

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream to the JKU's satellite campus in Vienna
  • materials, slides, instructions online in Moodle

Evaluation Criteria

  •  final exam on-site (Linz and Vienna) 
  • regular online assignments (combination of group exercises and small individual tasks)

Track 1

UE Introduction to Autonomous Systems

Content provided as

  • task description online

Evaluation Criteria

  • task execution during lecture
  • if absent: task execution at home and report with max. 5 pages

VL Introduction to Autonomous Systems

Content provided as

  • bidirectional videoconference live-stream at the JKU’s satellite campus in Vienna
  • lecture notes and slides online

Evaluation Criteria

  • written exam

UE Introduction to Robotic Systems

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna

Evaluation Criteria

  • regular online assignments

VL Introduction to Robotic Systems

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • slides online

Evaluation Criteria

  • written exam

Track 2

Track 3

UE Symbolic AI

Content provided as

  • The exercises will consist of practical group assignments that follow the lecture.

Evaluation Criteria

  • regular online assignments (in Moodle)

VL Symbolic AI

Content provided as

  • The content is provided in the form of on-line lecture notes and slides.

Evaluation Criteria

  • final exam on-site (Linz and Vienna)

Track 4

KV Genome Analysis & Transcriptomics

Content provided as

  • recording in Moodle (stream available for two weeks)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • slides online

Evaluation Criteria

  • final exam on-site (Linz or Vienna)

KV Artificial Intelligence in Life Sciences

Content provided as

  • recording in Moodle (stream available for 2 weeks)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • lecture slides online (after each lecture)

Evaluation Criteria 

  • regular assignments organised as challenges
  • final exam (oral) on-site

KV Structural Bioinformatics

Content provided as

  • recording in Moodle (stream available for two weeks)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • slides online

Evaluation Criteria

  • final exam on-site (Linz or Vienna)

Admission Courses

VL Statistics for AI

Content provided as

  • recording in Moodle (stream available for full semester)
  • birectional videoconference live-stream to the JKU's satellite campus in Vienna
  • slides online

Evaluation Criteria

  • final exam on-site (Linz and Vienna)

 

VL Machine Learning: Unsupervised Techniques

Content provided as
 

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • if technically possible: one-way live-stream to students’ end devices
  • lecture notes slides online

Evaluation Criteria

 

  • two written exams plus retry exam (Linz and Vienna)

Recommended Courses

UE Machine Learning: Unsupervised Techniques

Content provided as

  • recording in Moodle (stream available for full semester)
  • bidirectional videoconference live-stream at the JKU's satellite campus in Vienna
  • if technically possible: one-way live-stream to students’ end devices
  • slides online

Evaluation Criteria

  • final exam on-site (Linz or Vienna)
  • regular online Assignments

 

Area of Spezialization

VU Advanced Topics of Molecular Biotechnologies
 

Content provided as

  • recording in Moodle (stream available for full semester)
  • lecture notes and slides online

Evaluation Criteria

  • regular assignments on moodle
  • computer exam
  • 50% attendance required (includes student presentations)

KV Topics in Genetics & Evolution

Content provided as

  • recording in Moodle (stream available for full semester)
  • lecture notes and slides online

Evaluation Criteria

  • regular assignments on moodle
  • computer exam

Special Topics

Miscellaneous

Additional information

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Need an Overview?
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