Curriculum

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

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 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