194.155 Sustainability in Computer Science
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2023W, VU, 2.0h, 3.0EC
TUWEL

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung
  • Format der Abhaltung: Hybrid

Lernergebnisse

Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...

  • die verschiedenen Aspekte von 'Sustainability in CS', aka Nachhaltigkeit und Informatik, zu beschreiben, vor allem die Unterscheidung zwischen 'Computational Sustainability' und 'Sustainable CS' 
  • die Relevanz des Themas für Wirtschaft und Gesellschaft zu erklären
  • Hypothesen und Lösungen sowohl für 'Computational Sustainability' als auch für 'Sustainable CS' zu analysieren und zu bewerten

Inhalt der Lehrveranstaltung

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.

Methoden

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.

Prüfungsmodus

Prüfungsimmanent

Weitere Informationen

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

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Mo.17:00 - 18:3009.10.2023 - 22.01.2024 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09 (LIVE)Lectures
Sustainability in Computer Science - Einzeltermine
TagDatumZeitOrtBeschreibung
Mo.09.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.16.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.23.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.30.10.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.06.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.13.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.20.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.27.11.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.04.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.11.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.18.12.202317:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.08.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.15.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures
Mo.22.01.202417:00 - 18:30 https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Lectures

Leistungsnachweis

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

LVA-Anmeldung

Von Bis Abmeldung bis
15.09.2023 00:00 16.10.2023 23:55

Curricula

StudienkennzahlVerbindlichkeitSemesterAnm.Bed.Info
066 645 Data Science Gebundenes Wahlfach
066 926 Business Informatics Gebundenes Wahlfach
880 FW Freie Wahlfächer - Informatik Freifach

Literatur

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Vorkenntnisse

none

Weitere Informationen

Sprache

Englisch