070123 UE Methodological workshop - Artificial Intelligence and Large Language Models in Humanities Research (2023W)
Continuous assessment of course work
Labels
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 Mo 11.09.2023 09:00 to Mo 25.09.2023 14:00
- Registration is open from We 27.09.2023 09:00 to Fr 29.09.2023 14:00
- Deregistration possible until Tu 31.10.2023 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 02.10. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 09.10. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 16.10. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 23.10. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 30.10. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 06.11. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 13.11. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 20.11. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 27.11. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 04.12. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 11.12. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 08.01. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 15.01. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 22.01. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
- Monday 29.01. 09:00 - 10:30 Seminarraum Geschichte 3 Hauptgebäude, 2.Stock, Stiege 9
Information
Aims, contents and method of the course
This course will introduce students to AI, its history and technological foundations, its ethical, legal, societal and economic issues, its applications, its current evolution and trajectory as well as the skills needed to use proven techniques to most effectively and efficiently interact with the leading tools on the market today as well as adapt to new ones.
Assessment and permitted materials
Students will be assessed based on four criteria:Classroom participation in discussions and prompt generation in class. (30%)
An individualized project which uses AI to solve a problem the proposal of which will be submitted to the Instructor by Week 9 and the final product of which will be submitted by Week 13. (25%)
The final project completed in a proctored room on Week 15 which will test the students’ prompt engineering skills in real time. (30%)
Each student must contribute to one of the three track-based projects which will be presented on Week 14. (15%)Please note, if a student misses more than one class, they will need to turn in a short written synopsis of the reading from that day.
An individualized project which uses AI to solve a problem the proposal of which will be submitted to the Instructor by Week 9 and the final product of which will be submitted by Week 13. (25%)
The final project completed in a proctored room on Week 15 which will test the students’ prompt engineering skills in real time. (30%)
Each student must contribute to one of the three track-based projects which will be presented on Week 14. (15%)Please note, if a student misses more than one class, they will need to turn in a short written synopsis of the reading from that day.
Minimum requirements and assessment criteria
Examination topics
Tracks
All students will be expected to attend all classes and practice the skill of prompt engineering across three types of AI interfaces based upon their input-output formats: Text to Text, Text to Image, and Text to Video.The students will, however, be able to choose a track based upon their personal interest starting in week 3. The track they choose will determine the group they are placed in for their “track-project” as well as the focus of their individual project.There are four specialized tracks based on the application of the skills students will develop:Economic Applications: Banking, Finance, Customer Service, E-Commerce, Sales and Marketing.
Cultural Applications: Fashion, Music, Design, Architecture, Video Game and Art Generation, Preservation and Restoration, Collaboration and Curation.
Educational Applications: Personalized learning, Student Support, Administrative Tasks, and Interactive Learning.
Policy Applications: Business, State and Regional Policy concerning AI development and use.
All students will be expected to attend all classes and practice the skill of prompt engineering across three types of AI interfaces based upon their input-output formats: Text to Text, Text to Image, and Text to Video.The students will, however, be able to choose a track based upon their personal interest starting in week 3. The track they choose will determine the group they are placed in for their “track-project” as well as the focus of their individual project.There are four specialized tracks based on the application of the skills students will develop:Economic Applications: Banking, Finance, Customer Service, E-Commerce, Sales and Marketing.
Cultural Applications: Fashion, Music, Design, Architecture, Video Game and Art Generation, Preservation and Restoration, Collaboration and Curation.
Educational Applications: Personalized learning, Student Support, Administrative Tasks, and Interactive Learning.
Policy Applications: Business, State and Regional Policy concerning AI development and use.
Reading list
Required Readings will be Excerpts provided to the students from the Following Texts:Russell, S., & Norvig, P. (2010). Artificial intelligence: A modern approach. Pearson.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Domingos, P. (2015). The master algorithm: How the quest for the ultimate learning machine will remake our world. Basic Books.
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishers.
Murphy, K. P. (2012). Machine learning: A probabilistic perspective. MIT Press.
Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press.
Burkov, A. (2019). The hundred-page machine learning book. Andriy Burkov.
Géron, A. (2019). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O'Reilly Media.
Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking.AI Tools:
Text to Text: Jasper AI, GrowthBar, ChatGPT, Frase, Copysmith.
Text to Image: Midjourney, Dream Studio- Stable Diffusion, Dall E 2, Photoshop Generative Fill.
Text to Video: Synthesia, Elai.io, Pictory, InVideo.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Domingos, P. (2015). The master algorithm: How the quest for the ultimate learning machine will remake our world. Basic Books.
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishers.
Murphy, K. P. (2012). Machine learning: A probabilistic perspective. MIT Press.
Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An introduction. MIT Press.
Burkov, A. (2019). The hundred-page machine learning book. Andriy Burkov.
Géron, A. (2019). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O'Reilly Media.
Russell, S. (2019). Human compatible: Artificial intelligence and the problem of control. Viking.AI Tools:
Text to Text: Jasper AI, GrowthBar, ChatGPT, Frase, Copysmith.
Text to Image: Midjourney, Dream Studio- Stable Diffusion, Dall E 2, Photoshop Generative Fill.
Text to Video: Synthesia, Elai.io, Pictory, InVideo.
Association in the course directory
SP: Digital Humanities
Last modified: Mo 02.10.2023 00:04