Department: Industrial Engineering
Credits: Bilkent 3, ECTS 5 Course Coordinator: Savaş Dayanık
Semester:
20182019 Spring
Contact Hours:
3 hours of lecture per week,
1 hour of Lab/Studio/Others per week


Textbook and Other Required Material:


Catalog Description: Generalized linear models (e.g., binomial, Poisson, beta, gamma, multinomial regression for count, proportion, and multicategorical data), quasilikelihood methods for dealing with under and overdispersion; random effect models for grouped, hierarchical, and panel data; generalized additive models to discover the nonlinear transformations in all of the previous regression problems; applications to real data using a statistical software. 

Prerequisite(s):
None


Assessment Methods:


Minimum Requirements to Qualify for the Final Exam: 

Course Learning Outcomes:


Weekly Syllabus:


Type of Course:
Lecture


Teaching Methods:
Lecture  Exercises  Assignment
