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 2021
Quantitative Methods I (R)(A) | Brad Gibson | 60100 |
Multivariate Statistics(R)(A) | Guangjian Zhang | 60125 |
Computational Statistics (R)(B) | Ke-Hai Yuan | 60145 |
3. Spring 2022
Quantitative Methods II (R)(A) | Ross Jacobucci | 60101 |
R for Data Science (B) | Johnny Zhang | 60109 |
Structural Equation Modeling (R)(A) | Ke-Hai Yuan | 60130 |
Item Response Theory (B) | Alison Cheng | 60152 |
Longitudinal Data Analysis (R)(A) | Peggy Wang | 60155 |
4. Fall 2022
Quantitative Methods I (R)(A) | Brad Gibsoni | 60100 |
Linear Model (R)(B) | Ke-Hai Yuan | 60123 |
Multivariate Statistics (R)(A) | Guangjian Zhang | 60125 |
5. Spring 2023
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 |
Psychological Measurement (R)(B) | Alison Cheng | 60124 |
Structural Equation Modeling (R)(A) | Ke-Hai Yuan | 60130 |
Longitudinal Data Analysis (R)(A) | Peggy Wang | 60155 |