059910 VU Sustainability in Computer Science (2023W)
Continuous assessment of course work
Labels
MIXED
The lecture part of the course is freely accessible without registration, see Public Lecture Series: "Sustainability in Computer Science"
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 13.09.2023 09:00 to We 20.09.2023 09:00
- Deregistration possible until Sa 14.10.2023 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
*Attendance at a preliminary in-person meeting on Monday Oct. 2nd at 17:30 -- 18:00 in SR12, Kolingasse 14--16, 1090 Wien is mandatory for participating in this course.*
The lectures will be held on Mondays from 17:00 -- 18:00. A list of the specific lectures and their dates is available onhttps://informatics.tuwien.ac.at/news/2467All lectures will be held online only and can be accessed under the following link:https://tuwien.zoom.us/j/63867281732?pwd=WEFYQ3pHdU1tK2JMSTlBSFlRWFpxZz09Meeting ID: 638 6728 1732
Passcode: Xnupv5gi.
- Monday 09.10. 17:00 - 18:00 Digital
- Monday 16.10. 17:00 - 18:00 Digital
- Monday 23.10. 17:00 - 18:00 Digital
- Monday 30.10. 17:00 - 18:00 Digital
- Monday 06.11. 17:00 - 18:00 Digital
- Monday 13.11. 17:00 - 18:00 Digital
- Monday 20.11. 17:00 - 18:00 Digital
- Monday 27.11. 17:00 - 18:00 Digital
- Monday 11.12. 17:00 - 18:00 Digital
- Monday 18.12. 17:00 - 18:00 Digital
- Monday 08.01. 17:00 - 18:00 Hybride Lehre
- Monday 15.01. 17:00 - 18:00 Digital
- Monday 22.01. 17:00 - 18:00 Digital
Information
Aims, contents and method of the 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 informatics 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, under the auspices of Informatik Austria. 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.
Assessment and permitted materials
Regular attendance (of at least 11 out of the total of 13 lectures) is required to pass the course. Exceptions can be made if students can provide evidence that they were unable to attend the course for reasons beyond their control, e.g., a medical certificate. *To prove regular attendance, students need to confirm their attendance during every lecture on the Moodle course page.*In addition to regular attendance, every student must submit one essay on one of the lecture topics. The topic can be chosen by each student from the list of lectures. The essay should have a length of roughly 50k characters (~20 pages) excluding references and have the following structure:1. Introduction: Introduction to the topic and its broader context for susatinability
2. Literature overview: Historical overview of the chosen topic including a literature review
3. Current state of research and open problems
4. In-depth review of one chosen research paper on the topic
5. Crticial discussion of the topic and the chosen paper regarding their real-world impactThe essay must be submitted as one PDF file on the Moodle course page by 02.02.2024.Large-language models (LLMs) such as ChatGPT may be used to support writing the essay if the used prmopts are included in the essay. In line with university regulations, we may invite students to in-person interviews regarding their essays and the content of the individual lectures for up to four weeks after the submission deadline.
2. Literature overview: Historical overview of the chosen topic including a literature review
3. Current state of research and open problems
4. In-depth review of one chosen research paper on the topic
5. Crticial discussion of the topic and the chosen paper regarding their real-world impactThe essay must be submitted as one PDF file on the Moodle course page by 02.02.2024.Large-language models (LLMs) such as ChatGPT may be used to support writing the essay if the used prmopts are included in the essay. In line with university regulations, we may invite students to in-person interviews regarding their essays and the content of the individual lectures for up to four weeks after the submission deadline.
Minimum requirements and assessment criteria
The essays will be graded with respect to their originiality, comprehensiveness, and critical evaluation of the chosen topic. A score ranging from 0 -- 100% will be assigned to each essay and converted to the final grade according to the following scale:1. At least 87.5%
2. At least 75.0%
3. At least 62.5%
4. At least 50.0%
2. At least 75.0%
3. At least 62.5%
4. At least 50.0%
Examination topics
All content of the individual lectures can be part of the essay and the potential in-person interviews.
Reading list
Further literature will be provided in the individual lectures.
Association in the course directory
Last modified: We 27.09.2023 14:27