Links to lecture slides, readings, assignments will be posted in the table below by the time of the lecture or the release of the assignment. R links to readings for that day; O indicating an optional reading; V indicating an optional video; H links to hands-on-activity handouts; and C points to the Canvas assignment for submissions.

Seminar	Methods	Project
Mondays	Wednesdays	Due Fridays
Jan 22 No class	Jan 24 data colle Course Introduction Recording
Jan 29 History of HCI Recording R C	Jan 31 Methods Introduction Recording R H C	Feb 2 Topic selection Recording
Feb 5 Research Theories Recording R O C	Feb 7 Choosing Methods Recording R1 R2 H C
Feb 12 Artificial Agents Recording R1 R2 C	Feb 14 Ethnography Recording R O V H C	Feb 16 Literature survey, RQ C
Feb 19 CMC Recording R1 R2 R3 C	Feb 21 Qualitative analysis Recording R1 R2 H C
Feb 26 CSCW Recording R1 R2 R3 C	Feb 28 Experimental design I Recording R1 R2 C	February 28 Human Subjects Research Training
Mar 4 Human-AI Interaction Recording R1 R2 R3 C	Mar 6 Experimental design II Recording R H C	Mar 8 Method
Mar 11 Accessibility Recording R1 R2 R3 O1 O2 O3 C	Mar 13 Measurement I Recording R H C
Mar 18 AR/VR Recording R1 R2 O	Mar 20 Measurement II Recording R1 R2
Mar 25 Spring Recess	Mar 27 Spring Recess
Apr 1 Mobile/Tangible Recording R1 R2 R3 C	Apr 3 Measurement III Recording R1 R2 H C
Apr 8 Privacy Recording R1 (Chapters 1 & 3) R2 O1 O2 O3 D	Apr 10 Statistics I Recording R (Pages 71-80) O
Apr 15 Physiological Computing Recording R1 R2 R3 O C	Apr 17 Statistics II Recording R (Pages 80-104) O H C	Apr 19 Data collection
Apr 22 End-User Programming Recording R1 R2 C	Apr 24 Statistics III Recording R (Pages 80-104) O	Bonus Lecture Reporting Recording R H (optional)
Apr 29 Final Presentation	May 1 Final Presentation	May 3 Data analysis
	May 8 Final paper