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.

(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 2021

Quantitative Methods I (R)(A) Brad Gibson 60100
Multivariate Statistics(R)(A) Guangjian Zhang 60125
Computational Statistics (R)(B) Ke-Hai Yuan 60145

3. Spring 2022

Quantitative Methods II (R)(A)  Ross Jacobucci 60101
R for Data Science (B) Johnny Zhang 60109
Structural Equation Modeling (R)(A) Ke-Hai Yuan 60130
Item Response Theory (B) Alison Cheng 60152
Longitudinal Data Analysis (R)(A)  Peggy Wang 60155

4. Fall 2022

Quantitative Methods I (R)(A) Brad Gibsoni 60100
Linear Model (R)(B) Ke-Hai Yuan 60123
Multivariate Statistics (R)(A) Guangjian Zhang 60125

5. Spring 2023

Quantitative Methods II (R)(A)  Ross Jacobucci 60101
R for Data Science (B) Johnny Zhang 60109
Machine Learning for Social/Behavioral (B) Ross Jacobucci 60122
Psychological Measurement (R)(B) Alison Cheng 60124
Structural Equation Modeling (R)(A) Ke-Hai Yuan 60130
Longitudinal Data Analysis (R)(A) Peggy Wang 60155