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 |