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Program Details.

Learn more 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 schedule for Summer Semester 2020. This schedule is only a recommendation and can be adjusted to your personal needs.

Types of Courses

The program contains the following types of courses:

Kürzel Beschreibung
KV (Kombinierte Lehrveranstaltungen) Combined Course
VL (Vorlesung) Lecture
UE (Übung) Exercises
TU (Tutorium) Tutorial

 

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:

Mandatory Courses

KV Hands-on AI II

Content provided as

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

Evaluation Criteria

  • regluar online assignments

KV Technology and Society

Content provided as

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

Evaluation Criteria

  • details following

KV Programming in Python II

Content provided as

  • recording in Moodle (stream available for full semester)
  • birectional videoconference live-stream to the JKU's satellite campus in Vienna
  • one-way live-stream to students end devices
  • if technically possible: one-way live-stream to students end devices
  • all lecture materials and exam online

Evaluation Criteria

  • 90% of the grade is based on the project submission, 10% of the grade is based on a short online multiple-choice exam
  • The exam has to be positive (>=50% on exam)

Project Submission

  • submissions of Python code to reach certain sub-goals of the project
  • evaluation of the ML model on a testset, where the performance of the developed model will determine the points received

UE 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
  • lecture notes and slides online

Evaluation Criteria

  • final exam on-site (Linz and Vienna)
  • weekly online assignments (students have to score at least 60% on the assignments to be eligible for the final exam)

There is also a presence course with different evaluation criteria:

  • weekly short presentation of examples
  • no written exam

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)

UE Mathematics for AI II

Content provided as

  • weekly exercise sheets corresponding to the lecture "Mathematics for AI II"  which have to be prepared by the students
  • recording of a tutor presenting the solutions in Moodle (stream available for 2 weeks)
  • bidrectional video-conferece livestream to the JKU's satellite campus in Vienna
  • possibility to register for on-site exercise classes at JKU with mandatory attendence where students present their solutions
  • exercise sheets and solutions provided in Moodle

Evaluation Criteria

  • for the distance learning group without mandatory attendence: at least 50% of the exercises have to be handed in via Moodle
  • for the exercise groups with mandatory attendence: at least 50% if the exercises have to be prepared by each student, students are asked to present their solutions on the blackboard, exercises have to be handed in at least twice per semester
  • final exam for all students

VL Mathematics for AI II

Content provided as

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

Evaluation Criteria

  • final exam on-site (Linz and Vienna)
  • Distance Learning: weekly submission of exercises, some will be assessed
  • presence students (Linz): mandatory presence in exercise classes, presentation of solutions, some written exercises will be assessed

UE Algorithms and Data Structures 1 (340.210, 340.211, 340.213, 340.215)

Content provided as

  • Linz only, no stream possible, no stream
  • exercise slides online (https://www.pervasive.jku.at/Teaching; registration required)

Evaluation Criteria

  • regular online assignments (https://www.pervasive.jku.at/Teaching; registration required)

UE Algorithms and Data Structures 1 (340.212)

Content provided as

  • birectional videoconference live-stream to the JKU's satellite campus in Vienna
  • lecture slides online (https://www.pervasive.jku.at/Teaching; registration required)
  • no recording, no moodle

Evaluation Criteria

  • regular online assignments (https://www.pervasive.jku.at/Teaching; registration required)

VL Algorithms and Data Structures 1

Content provided as

  • birectional videoconference live-stream to the JKU's satellite campus in Vienna
  • lecture slides online (https://www.pervasive.jku.at/Teaching; registration required)
  • no recording, no moodle

Evaluation Criteria

  • final exam on-site (Linz and Vienna)

Area of Specialization

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?
Here you will find an overview of general information about the program.