Explore courses

Spring 2027

4,369 courses

An individually arranged Phase 3 extramural elective in preventive medicine, engaging students in primary or specialty patient care in ambulatory and/or hospital settings outside the UW Madison Statewide Campus.

Offering recorded · Spring 2027 · Sources

No recorded grade history

An individually arranged Phase 3 extramural elective in Human Oncology where students engage in primary or specialty patient care in ambulatory and/or hospital settings outside the UW Madison Statewide Campus.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Extramural Elective-Medicine is an individually arranged Phase 3 elective outside the UW Madison Statewide Campus, focusing on primary or specialty patient care in ambulatory and/or hospital settings.

Offering recorded · Spring 2027 · Sources

No recorded grade history

An individually arranged Phase 3 extramural elective in pediatrics where students engage in primary or specialty patient care in ambulatory and/or hospital settings outside the UW Madison Statewide Campus.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Individually arranged Phase 3 psychiatry elective outside UW Madison Statewide Campus, engaging in primary or specialty patient care in ambulatory and/or hospital settings.

Offering recorded · Spring 2027 · Sources

No recorded grade history

An individually arranged Phase 3 extramural elective for surgery, focusing on providing primary or specialty patient care in ambulatory or hospital settings.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Individually arranged Phase 3 extramural elective for providing primary or specialty patient care in ambulatory or hospital settings outside the UW Madison Statewide Campus.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Data Science Modeling I introduces reproducible data management, modeling, analysis, and statistical inference using R through hands-on case studies.

Offering recorded · Spring 2027 · Sources

Past student reviews · Bi Cheng Wu

Graded work was take-home and open-note, but it took a long time; students needed to stay on top of content and spend significant effort on homework.

historical GPA · grades

Fall 2022–Spring 2026

An introductory course covering distributions, measures of central tendency, hypothesis testing, confidence intervals, regression, correlation, and experimental design.

Offering recorded · Spring 2027 · Sources

Past student reviews · Alexander Covington

Alexander Covington assigned long weekly homework sets that carried heavy weight in the final grade, while expecting deeper knowledge of content barely covered in lectures.

historical GPA · grades

Fall 2022–Spring 2026

R For Statistics I covers the statistical language R, focusing on manipulating data and performing exploratory data analysis.

Offering recorded · Spring 2027 · Sources

Past student reviews · Alexander Covington

Past students reported extremely high workloads, noting that homework required significant self-learning because lecture videos were basic. Exams covered extensive details from self-study materials, and solutions were not provided.

historical GPA · grades

Fall 2022–Spring 2026

R For Statistics II covers the statistical language R, focusing on writing conditional expressions, loops, and functions, manipulating data structures, extracting text data, and creating visualizations.

Offering recorded · Spring 2027 · Sources

Past student reviews · Bo Yang

One student reported earning an A despite the instructor's lack of support, citing prior high-pace work experience that covered the course content.

historical GPA · grades

Fall 2022–Spring 2026

R FOR STATISTICS III provides an understanding of the statistical language R and teaches combining it with high performance computing tools for scientific computing.

Offering recorded · Spring 2027 · Sources

historical GPA · grades

Fall 2022–Spring 2026

Introduction to mathematical statistics covering probability, discrete distributions, acceptance sampling, normal distribution, central limit theorem, and estimation methods.

Offering recorded · Spring 2027 · Sources

Past student reviews · Amy Beyler, Derek Bean

Workload was generally manageable, with some students finding homework tougher than exams. Exams were sometimes described as difficult or tricky, but often aligned with practice materials or were curved.

historical GPA · grades

Fall 2022–Spring 2026

Introduction to Theory and Methods of Mathematical Statistics II covers unbiased estimation, MLE, confidence intervals, hypothesis tests, Neyman-Pearson lemma, LRT, regression, and ANOVA.

Offering recorded · Spring 2027 · Sources

Past student reviews · Bo Yang

The grade was based on about five homework assignments and three exams. One student found the material not difficult but noted it was taught extremely slowly.

historical GPA · grades

Fall 2022–Spring 2026

Introduction to Statistics for Science and Engineering covers descriptive stats, probability, hypothesis testing, linear regression, ANOVA, and experimental design using R.

Offering recorded · Spring 2027 · Sources

Past student reviews · Michael Culbertson

Despite considerable use of R in the course, students were taught only the bare minimum required for assignments.

historical GPA · grades

Fall 2022–Spring 2026

Applied Regression Analysis covers linear regression for prediction, feature selection, and interpretation, extending to mixed and generalized linear models using R.

Offering recorded · Spring 2027 · Sources

Past student reviews · Karl Rohe

Karl Rohe’s homework was due weekly, long, and unrelated to lectures, while exam questions were vague.

historical GPA · grades

Fall 2022–Spring 2026

Data Science Modeling II teaches exploring, modeling, and analyzing data using R, covering probability, hypothesis testing, regression, ANOVA, and machine learning methods like random forests.

Offering recorded · Spring 2027 · Sources

Past student reviews · Brian Powers, Bi Cheng Wu

Some students found the tests very difficult, with one noting they were harder than the midterms. Another described the instructor as super strict, warning students to be careful about making mistakes.

historical GPA · grades

Fall 2022–Spring 2026

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