Quantitative Program

University of Notre Dame

Tentative Course Schedule 2019-2020

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


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. Spring 2019

Quantitative Methods II (R)(A)  Ross Jacobucci 60101
R for Data Science (B)  Johnny Zhang 60109
Longitudinal Data Analysis (R)(A) Peggy Wang 60155
Statistical Methods (B)  Ke-Hai Yuan 60158
Time Series Analysis and Related Methods Guangjian Zhang 60143

3. Fall 2019

Quantitative Methods(R)(A) TBD 60100
Multivariate Statistics(R)(A) Guangjian Zhang 60125
Introduction to Statistical Learning(B) Ross Jacobucci 60122
Computational Statistics (R)(B) Ke-Hai Yuan 60145
Structural Equation Modeling (R)(A)  Johnny Zhang 60130

4. 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

5. Fall 2020

Multivariate Statistics (R)(A)  Guangjian Zhang 60125
Psychological Measurement and Test Development (R)(B)  Alison Cheng 60124
Introduction to Statistical Learning (B)  Ross Jacobucci 60122
Advanced Structural Equation Modeling (B)  Ke-Hai Yuan TBD
Exploratory Data Analysis (B)  Johnny Zhang 60105