№ files_lp_4_process_2_87331
Graduate-level syllabus detailing the structure, objectives, schedule, grading, policies, and resources for a Spring 2026 course on categorical data analysis at the University at Buffalo.
Year: 2026
Semester: Spring
Department: Department of Biostatistics
Course Code: STA 517
Class Schedule: Friday 9:10 PM - 12:00 PM, Jan 21, 2026 - May 5, 2026
Class Location: DFN 207
Instructor: Changxing Ma
Office: Kimball RM 716, University at Buffalo
Phone: (716) 829-2758
Textbook: Categorical Data Analysis, Alan Agresti, 2nd Edition, 2002, Wiley
Required Software: SAS, R, Matlab
Grading: Homework 100 points, Midterm 100 points, Final 100 points, Total 300 points
Office Hours: Friday 1:10-2:30 PM, or by appointment via Zoom
Course Homepage: http://www.buffalo.edu/~cxma/STA517/
Target Audience: Graduate students in biostatistics or related fields
Prerequisites: Basic statistics and introductory probability
Course Objectives: Logistic regression, statistical inference, use of statistical software
Policies: Attendance required, late assignments penalized, incomplete grades allowed under extenuating circumstances, disability accommodations available
Netiquette: Follow online communication rules as per UBlearns
Price: 8 / 10 USD
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