194.155 Sustainability in Computer Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to...

  • describe the different aspects of  sustainability in CS, most importantly to differentiate computational sustainability versus sustainable CS
  • explain the practical relevance of sustainability in CS for business and society
  • analyze and evaluate hypotheses and solutions for both computational sustainability and sustainable CS

Subject of course

Sustainability is not an optional feature. Targeting economic, social, and ecological issues through sustainable development has become a must, not least since the publication of the UN’s Sustainable Development Goals in 2015.

Computer Science (CS), and more prominently and recently, Artificial Intelligence (AI), is hailed as the solution to many sustainability problems (and yes, it is!). Still, energy efficiency and CO2 reduction must be considered to ensure fair and ecological use of resources. Hence, dealing with CS and sustainability involves two faces of the same coin: Sustainability with CS, often referred to as “Computational Sustainability”, and Sustainability for CS, commonly known as “Sustainable CS”.

This lecture series is the first of its kind in Austria, with all Austrian CS departments and faculties participating. We want to raise awareness for the utmost importance of sustainability in CS, demonstrating research solutions to various problems, and triggering developments for a sustainable future.

Teaching methods

In the first part of the course, the students are introduced to the topic by means of lectures on various topics of sustainability in CS. In the second part of the course, the students have to analyze and evaluate a hypothesis of sustainability in CS based on the lectures.

Mode of examination

Immanent

Additional information

The slides will be made available to students via TUWEL after the presentations.
All lectures will be offered as online lectures, except one, at January 8 2024, which is offered hybrid, on site at TU Wien and online.

Effort for the students:

14 x 1 h =   14 h Attending lectures
   25 h Researching topic for writing seminar paper:
Analysing and Evaluating a hypothesis chosen among the topics presented
including literature work
             25 h Writing seminar paper
             11 h Reviewing seminar paper of a colleague
---------------------------------------------------------------
75 h = 3 ECTS

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon17:00 - 18:3009.10.2023 - 22.01.2024 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09 (LIVE)Lectures
Sustainability in Computer Science - Single appointments
DayDateTimeLocationDescription
Mon09.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon16.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon23.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon30.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon06.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon13.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon20.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon27.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon04.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon11.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon18.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon08.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon15.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mon22.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures

Examination modalities

The assessment is based on a seminar paper analyzing and evaluating a hypothesis chosen among the topics of the first part of the course.

Course registration

Begin End Deregistration end
15.09.2023 00:00 16.10.2023 23:55

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory elective
066 926 Business Informatics Mandatory elective
880 FW Elective Courses - Computer Science Elective

Literature

No lecture notes are available.

Previous knowledge

none

Miscellaneous

Language

English