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 2020

Quantitative Methods I (R)(A)	Brad Gibson	60100
Multivariate Statistics(R)(A)	Guangjian Zhang	60125
Structural Equation Modeling (R)(A)	Johnny Zhang	60130
Advanced Structural Equation Modeling (B)	Ke-Hai Yuan	60148

3. Spring 2021

Quantitative Methods II (R)(A)	Ross Jacobucci	60101
Machine Learning for Social/Behavioral Research (B)	Ross Jacobucci	60122
Psychological Measurement (R)(B)	Ying Cheng	60124
Missing Data Analysis (B)	Ke-Hai Yuan	60139
Longitudinal Data Analysis (R)(A)	Peggy Wang	60155

4. Fall 2021

Quantitative Methods I (R)(A)	Brad Gibson	60100
Applied Bayesian Statistics (R)(B)	Johnny Zhang	60108
Multivariate Statistics (R)(A)	Guangjian Zhang	60125
Structural Equation Modeling (R)(A)	Johnny Zhang	60130
Computational Statistics (R)(B)	Ke-Hai Yuan	60145

5. Spring 2022

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
Linear Model (R)(B)	Ke-Hai Yuan	60123
Item Response Theory (B)	Alison Cheng	60152
Longitudinal Data Analysis (R)(A)	Peggy Wang	60155