For the Fall semester 2022, we are looking for Tutors for the "People-Oriented Computing” course (AINF1168), taught by Professor Elaine Huang.

Course Description

Course units include:

1. Computing and the individual (e.g. models of interaction and cognition, principles of design)
2. Computing for Groups and Organizations (e.g. CSCW, Groupware)
3. Computing in Society and Community (e.g. social media, health and wellness, sustainability)

Developments in technology have had a profound impact on people and the world in which we live, work, and interact. These developments are simultaneously enabling and challenging, and the co-evolution of computing and people's use of it has led to important issues for the design, development, adoption of technology, as well as the understanding of its impact on how we live. This course provides an introduction to human-oriented aspects of computing and serves as a foundation for further study in people-oriented computing. Fundamental human issues of technology will be covered at the level of individuals, groups, organizations, and society. The course will provide a general introduction to key areas in people-oriented computing, and touch upon relevant topics such as roles and potential careers in computing, methods, and approaches employed in these areas, and future directions for technology.

Requirements

• You must be a Master student or a senior Bachelor student who has successfully passed the assessment level.
• We typically seek students who have taken and successfully passed the "People-Oriented Computing” course or who have successfully completed the “Human-Computer Interaction” course and/or “HCI Seminar”.

Responsibilities

• Tutoring of weekly labs (every Wednesday 12:15-14:00).
• Adapting/preparing the exercises for the weekly labs.
• Extra reading to familiarize yourself with lecture materials.
• We may ask you to attend lectures (Monday, 14:00-15:45), depending on your knowledge level.
• Grading two assignments and the exam.

Compensation

• You receive either money or 3 ECTS or 6 ECTS points for your BSc or MSc. Work will be distributed accordingly. Those ECTS points can be used as “INF electives” or “free electives”.

To Apply

Send an email to Dr. Anton Fedosov (antonf@ifi.uzh.ch) and Luise Arn (arn@ifi.uzh.ch) with the subject "People-Oriented Computing Tutor”.

Your application should include a 1) brief CV (please mention whether you have taken HCI Lecture and/or HCI Seminar), and 2) your transcripts (grades of all the courses you have taken so far in your MSc/BSc studies). Applications are on a first come, first serve basis. Suitable applicants will be called in for a short informal interview in June/July.

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