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

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

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