Vorlesung Learning in Computer Science(für Master Learning Sciences)

Lecturer: Prof. Dr. Albrecht Schmidt
Tutorials: Francesco Chiossi, Julian Rasch
Hours per week: 2 (Lecture/Tutorials Mixture)
Contact Email lcs ät um.ifi.lmu.de
ECTS credits: 3
Language: English
Module: Master Learning Sciences WP1.2.2 Learning in Computer Science

---

Aktuelles

• 31.08.2022: Diese Seite befindet sich im Aufbau, Änderungen vorbehalten.

---

Content

This course is targeted at students of learning science. The lecture and the tutorials introduce interface design for digital systems, i.e., Human-Computer Interaction. The course is in English and is designed for Master's level, but does not assume deep previous knowledge in Computer Science.

How do novice users react when confronted with novel interfaces of computerized systems? Can a clever system design prevent problematic situations like the deterrence of the user or operation errors? How can systems be tailored to a specific group of users? Finally, how can the design of a system intrinsically support a progressive learning curve for the users in mastering the system?

These questions will be the focus of the lecture. Theories and design approaches from the area of Human-Computer Interaction, a sub-discipline of Computer Science neighboring Cognitive Psychology, will be introduced in the lecture. Concrete techniques for a user-centered design process for computerized products will be presented, emphasizing "low-fidelity prototyping" techniques. These techniques enable a design phase, which decouples interaction issues from technical issues. In particular, all design steps in such a methodology can be carried out in principle without any prerequisite knowledge in technology or programming.

Recommended Readings

This year Physiological Interfaces and Multi-User Interactions in VR will be the core focus of this course. We therefore recommend the following selection of readings:

• Baker, C., & Fairclough, S. H. (2022). Adaptive virtual reality. In Current Research in Neuroadaptive Technology (pp. 159-176). Academic Press. https://doi.org/10.1016/j.intcom.2008.10.011
  
• Fairclough, S. H. (2009). Fundamentals of physiological computing. Interacting with computers, 21(1-2), 133-145. https://doi.org/10.1016/B978-0-12-821413-8.00014-2
  
• McVeigh-Schultz, J., Kolesnichenko, A., & Isbister, K. (2019, May). Shaping pro-social interaction in VR: an emerging design framework. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-12). https://doi.org/10.1145/3290605.3300794
  

---

---

Zeitplan

Lecture: every Tuesday 10:00-12:00

Exercise: every Tuesday 12:00-14:00

Date	Time	Topic
18.10.2022	10:00-12:00	Lecture: Motivation and Basics, Terms
25.10.2022	10:00-12:00	Lecture: Design and Prototyping
	12:00-14:00	Project Introduction
08.11.2022	10:00-12:00	Task Demo & Project Pitch
	12:00-14:00	Group Forming & Project Ideation
15.11.2022	10:00-12:00	Tutorial I for Projects (Hands-On)
	12:00-14:00	Project work in groups
22.11.2022	10:00-12:00	Lecture: Mental Models - Understanable UIs
	12:00-14:00	Project vision and plan presentation
29.11.2022	10:00-12:00	Lecture: Focus on Humans
	12:00-14:00	Lecture: Human Erorrs and Error prevension
06.12.2022	10:00-12:00	Lecture: Virtual Reality, Mixed Realiy, AR
	12:00-14:00	Tutorial II for Projects (Hands-On)
13.12.2022	10:00-12:00	Lecture: Evaluation
	12:00-14:00	Lecture: Principles and Guidelines
20.12.2022	10:00-12:00	Lecture: Ubiquitous Computing
	12:00-14:00	Project (progress) presention

Ort

Ort: Frauenlobstr. 7a, Room 357 (from 08.11.2022 on) Edmund-Rumpler-Strasse 9, A 012 (Lecture) + A 019 (Exercise)

---

Remark

Please note that due to the engaging nature of the group projects, students often spend more than the allocated time on the development of their prototypes. This is especially true for the group project implementation scheduled during the lecture break.