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Fall 2026

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14 courses

Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.

COMPSCI/STAT 403 allows students to earn academic credit for outside internships related to Computer Sciences or Data Science programs.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026

STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.

Offering recorded · Fall 2026

Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge.

historical GPA · grades

Fall 2022–Fall 2025

Introduction to mathematical statistical inference, focusing on likelihood, estimation, and hypothesis testing.

Offering recorded · Fall 2026

The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material.

historical GPA · grades

Spring 2022–Spring 2026

Introduction to statistical methods covering distributions, inference, regression, and experimental design.

Offering recorded · Fall 2026

Workload is described as manageable with straightforward exams, though success requires consistent effort and engagement with the material.

historical GPA · grades

Spring 2022–Spring 2026

STAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.

Offering recorded · Fall 2026

The course involves multiple quizzes, homework assignments, and an exam, with reviewers noting the workload is substantial despite the straightforward nature of the tasks.

historical GPA · grades

Spring 2022–Spring 2026

STAT 304 teaches advanced R programming skills for statistics, including data manipulation, text extraction, and visualization.

Offering recorded · Fall 2026

One reviewer notes the course content was manageable due to prior job experience, though they earned an A.

historical GPA · grades

Spring 2022–Spring 2026

STAT 305 teaches students to use the R statistical language and integrate it with high performance computing tools for scientific computing.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026

Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.

Offering recorded · Fall 2026

Historical reviews of Amy Beyler, Derek Bean, Yaoguo Xie: Workload and difficulty vary significantly by instructor. Some report high-quality materials and fair tests, while others describe difficult exams and a need for extensive self-study to gain solid knowledge.

historical GPA · grades

Spring 2022–Spring 2026

Introduction to statistics for science and engineering covering descriptive statistics, probability, hypothesis testing, linear regression, and ANOVA using R.

Offering recorded · Fall 2026

Homework is time-consuming, taking five to six hours per set, and exams are challenging with a time crunch. Students must spend significant time understanding homework to prepare for tests that may differ from practice problems.

historical GPA · grades

Spring 2022–Spring 2026

STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.

Offering recorded · Fall 2026

Historical reviews indicate varied workloads. John Davis reported short homework, whereas Cecile Ane assigned a heavy group project and required extra practice. Vivak Patel's course was noted as highly difficult.

historical GPA · grades

Spring 2022–Spring 2026

STAT 421 teaches techniques for analyzing categorical response data, including contingency tables and regression modeling, using R.

Offering recorded · Fall 2026

The workload is relentless, consisting of approximately 66% homework with four to six hours of work per week across multiple large assignments.

historical GPA · grades

Fall 2022–Fall 2025

STAT 479 covers special topics in statistics of interest to undergraduate students.

Offering recorded · Fall 2026

Historical reviews of John Gillett, Karl Rohe, Kris Sankaran: Workload varies by instructor; Gillett’s course required independent Linux learning and debugging, while Sankaran’s recent term involved graduate-level assignments. Sankaran’s earlier terms featured spread-out homeworks, and Rohe provided few guidelines.

historical GPA · grades

Spring 2022–Spring 2026

STAT 609 covers mathematical statistics, including probability theory, distribution theory, and limit theorems like the Central Limit Theorem.

Offering recorded · Fall 2026

One reviewer reports that homework and class content differ significantly from the test, requiring preparation for a difficult exam experience.

historical GPA · grades

Fall 2022–Fall 2025

STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation.

Offering recorded · Fall 2026

Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term.

historical GPA · grades

Spring 2022–Fall 2025

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