SE "Master Seminar I"

This WWW page is the home page of my course SE "Master Seminar I" for the AISP program.

• SE: FRI 7:45-10:50 in T03 (weekly from October till about mid December) and on 31-Jan-2023 during the time 07:00-14:00 in T01.
• This seminar will be taught (in a blocked manner) at the times specified.
• The seminar will start on 07-Oct-2022 at 7:45 sharp in T01. Please make sure to be present in the seminar on this day since important information on this seminar will be given!
• COVID-19 pandemic: The seminar will be taught in strict compliance with official rules and regulations. If classroom-based teaching should be banned at the University for (some part of) the semester then we will use a video conferencing system and meet via https://edumeet.cs.sbg.ac.at/held_sbg_lectures.
  • All online sessions will take place at the times scheduled for classroom-based teaching.
  • Please make sure to use a headset (rather than loud speakers) in order to avoid to expose all of us to interference noise.
  • Please be prepared to present your contributions via screen/window sharing.
• For administrative and practical reasons, this seminar will be a large part of my course "Wissenschaftliche Arbeitstechniken und Präsentation" ("WAP"). However, it will be taught in English if AISP students who are not fluent in German decide to take the course.
• Since WAP has three weekly hours of class whereas this seminar runs only for two weekly hours, AISP students will be allowed to stay away from my WAP lectures during January and from some of the December lectures. Details will be announced (some time in early winter) in class.
• The slides used in the seminar are available as PDF files:
  • Lecture slides (with all animations and partial build of pages)
  • Study slides (with only a few animations and no partial builds)
  • Printer-friendly slides ("color-reduced" version of the study slides)
  All three versions are updated consistently by means of a script. (Please let me know if you'd catch a problem that might be due to this automated generation of these PDF files.)
  
• Please make sure to study and digest the grading policy.
• Prequisites:
  • The AISP curriculum requires you to have passed "Advanced Mathematics for Computer Science" (VO) and "Image Processing and Imaging" (VO and PS) before you can enroll in this seminar.
  • Furthermore, the topic of your master's thesis has to be arranged with your thesis advisor before enrolling in this seminar.

Copyright © 2024 Martin Held, held@cs.sbg.ac.at. All rights reserved. Impressum and Disclaimer. file last modified: Monday, 10-Oct-2022 07:07:35 CEST