Curriculum

Quantitative Program

University of Notre Dame

Tentative Course Schedule 2018-2019

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)	Ke-Hai 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)	Ke-Hai Yuan	60130
Exploratory Data Analysis (B)	Johnny Zhang	60105
Computer Age Statistical Inference	Gitta Lubke	TBA
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)	Ke-Hai Yuan	60158
Introduction to Quant Neuroscience (A)	Guangjian Zhang	40126

5. Fall 2019

Quantitative Methods (R)(A)	TBD	60100
Multivariate Statistics (R)(A)	Guangjian Zhang	60125
Structural Equation Modeling (R)(A)	Johnny Zhang	60130
Psychological Measurement (R)(B)	Alison Cheng	60121