Curriculum

Quantitative Program

University of Notre Dame

Tentative Course Schedule

This schedule will be updated if necessary due to Faculty leaves. The goal is to repeat the schedule every two years (i.e., Fall ’18 = Fall ’20, etc.)

(R) = required for quantitative students

(A) = every year

(B) = every other year

NOTES:

1. Statistical Inference I and II are taught at ACMS. Note that Statistical Inference I is called Applied Probability. There is also a summer course offered by ACMS that can serve as an alternative to Applied Probability to fulfill the Statistical Inference I requirement. Statistical Inference II is called Statistical Inference.

2. Fall 2019

Quantitative Methods I (R)(A)	Scott E. Maxwell	60100
Multivariate Statistics(R)(A)	Guangjian Zhang	60125
Machine Learning for Social/Behavioral Research (B)	Ross Jacobucci	60122
Computational Statistics (R)(B)	Ke-Hai Yuan	60145
Structural Equation Modeling (R)(A)	Johnny Zhang	60130

3. Spring 2020

Quantitative Methods II (R)(A)	Ross Jacobucci	60101
Longitudinal Data Analysis (R)(A)	Peggy Wang	60155
Linear Model (R)(B)	Ke-Hai Yuan	60123
Item Responses Theory (B)	Alison Cheng	60152
R for Data Science	Johnny Zhang	60109

4. Fall 2020

Quantitative Methods I (R)(A)	Scott E. Maxwell	60100
Multivariate Statistics (R)(A)	Guangjian Zhang	60125
Psychological Measurements and Test Development (R)(B)	Alison Cheng	60121
Advanced Structural Equation Modeling (B)	Ke-Hai Yuan	60148
Structural Equation Modeling (R)(A)	Johnny Zhang	60130

5. Spring 2021

Quantitative Methods II (R)(A)	Ross Jacobucci	60101
Longitudinal Data Analysis (R)(A)	Peggy Wang	60155
Missing Data Analysis (B)	Ke-Hai Yuan	60139
Applied Time Series Analysis (B)	Guangjian Zhang	60143
R for Data Science	Johnny Zhang	60109