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