# 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 |