Spring 2027

Topics in Mathematical Data Science

Advanced topics in the mathematical foundations of data science.

offering recorded1–3 credits
Recorded instructors · Spring 2027 Omar Chehab

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.57 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.76 GPA, 100.0% A/AB (n=17 letter grades).

What you’ll be able to do

  • Apply advanced mathematical concepts to solve a variety of data science problems

  • Analyze rigorously the mathematical properties of methods used in data science

Source: UW Guide 1 UW Guide 2 UW Guide 3

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

  • Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program
ECE/MATH/STAT 888

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

Professors

Spring 2027
Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 00
LEC 001Classroom Instruction0 / 00
LEC 001Classroom Instruction0 / 00

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=13 letter grades); Fall 2025: 3.57 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.76 GPA, 100.0% A/AB (n=17 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Mathematical foundations of data science

Skills

  • Applying advanced mathematical concepts to solve data science problems
  • Rigorous analysis of mathematical properties of data science methods

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
ECE/MATH/STAT 888 · Spring 2027

Topics in Mathematical Data Science

Recorded 2026-10-14
ECE/MATH/STAT 888 · Spring 2027

Topics in Mathematical Data Science

Recorded 2026-10-14
ECE/MATH/STAT 888 · Spring 2027

Topics in Mathematical Data Science

Recorded 2026-10-14
Raw records
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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