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Everything you need to stay on track — class schedules, office hours, toolkit, and quick links. When in doubt, show up to office hours.

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Current semester

Courses

MATH 4013Science 214

Probability & Mathematical Statistics

Mon/Wed 10:00–11:15 AM

Foundations of probability theory, random variables, moment generating functions, and introduction to stochastic processes. Emphasis on proof-based reasoning alongside applied intuition.

Key topics

  • Probability spaces & axioms
  • Discrete & continuous distributions
  • MGFs & characteristic functions
  • Limit theorems (LLN, CLT)
  • Stochastic processes intro
STAT 5021Analytics Lab

Advanced Modeling & Research Software

Tue 2:00–4:45 PM

Graduate-level course on statistical modeling and reproducible research workflows. Covers Bayesian methods, mixed models, and production-quality analysis code.

Key topics

  • Bayesian inference & MCMC
  • Generalized linear models
  • Mixed-effects models
  • Reproducible pipelines (R/Python)
  • Scientific communication

Availability

Office hours

Monday

12:00–1:30 PM

Office (check door schedule)

Walk-in

Wednesday

1:00–2:30 PM

Office (check door schedule)

Walk-in

By appointment

Flexible

Zoom or in person

Book via Calendly

Tools

Recommended toolkit

Statistics software

Writing & reproducibility

Reference & learning

Policies

Course policies

Late work policy+

Extensions granted with 24-hour advance notice. No extensions during exam weeks.

Collaboration policy+

Discussion encouraged. Write-ups must be your own. Code should be commented in your own words.

Office hours etiquette+

Come with a specific question, not just 'I'm stuck.' Show your work so far.

Grade disputes+

Submit a written note within 1 week of grade posting explaining the specific discrepancy.