Curriculum
Quantitative Program
University of Notre Dame
Tentative Course Schedule 20182019
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. Spring 2018
Quantitative Methods II (R)(A) 
Ross Jacobucci 
60101 
Applied Bayesian Analysis (R)(B) 
Johnny Zhang 
60130 
Applied Longitudinal Analysis (R)(A) 
Peggy Wang 
60155 
Linear Model (R)(B) 
Gitta Lubke 
60123 
Introduction to Statistical Learning (B) 
Gitta Lubke 
60122 
Introduction to Quantitative Neuroscience 
Guangjian Zhang 
TBA 
Missing Data (B) 
KeHai Yuan 
60139 
Psychological Measurement (R)(B) 
Alison Cheng 
60121 
3. Fall 2018
Quantitative Methods I (R)(A) 
TBD 
60100 
Multivariate Statistics (R)(A) 
Guangjian Zhang 
60125 
Structural Equation Modeling (R)(A) 
KeHai Yuan 
60130 
Exploratory Data Analysis (B) 
Johnny Zhang 
60105 
Psychological Measurement and Test Development  Alison Cheng  60124 
4. Spring 2019
Quantitative Methods II (R)(A) 
Ross Jacobucci 
60101 
Applied Bayesian Analysis (R)(B) 
Johnny Zhang 
60130 
Applied Longitudinal Analysis (R)(A) 
Peggy Wang 
60155 
Statistical Methods (B) 
KeHai Yuan 
60158 
Time Series Analysis and Related Methods

Guangjian Zhang 
60143 
5. Fall 2019
Quantitative Methods (R)(A) 
TBD 
60100 
Multivariate Statistics (R)(A) 
Guangjian Zhang 
60125 
Structural Equation Modeling (R)(A) 
Johnny Zhang 
60130 