Spring 2027

Integer Optimization

Integer Optimization introduces integer optimization problems and surveys algorithm theory, focusing on polyhedral formulations, algebraic/geometric properties, and combinatorial optimization applications.

offering recorded3 credits
Recorded instructors · Spring 2027 Alberto Del Pia3.7/5

Summary

1 / 6

Past student reviews · Alberto Del Pia

Homeworks were manageable and instructive, but exams were described as the challenging part of the course.

What you’ll be able to do

  • Describe and explain the basics of polyhedral theory, which consists in the study of systems of linear inequalities both from an algebraic and a geometric point of view

  • Define perfect formulations and identify what properties are desirable in an integer programming formulation of a problem

  • Explain how valid inequalities can be used as cutting planes to strengthen integer programming formulations

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

  • Graduate/professional standing
COMPSCI/ISYE/MATH 728

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.67/5 from 9 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 5.0/5 raw quality · 3.5/5 difficulty · 2 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Past student reviews · Alberto Del Pia

Alberto Del Pia described homeworks as very manageable and instructive, though exams proved difficult. Students found him kind and easygoing, noting he cared deeply about the subject matter.

Alberto Del Pia provided great intuition for deep proofs and encouraged questions, responding to all in great detail. One student noted the second half of the class was held online due to the pandemic.

Recent recorded grades — Spring 2024: 3.54 GPA, 69.6% A/AB (n=23 letter grades); Spring 2025: 3.50 GPA, 68.4% A/AB (n=19 letter grades); Spring 2026: 3.57 GPA, 80.0% A/AB (n=15 letter grades).

Historical instructors & teaching patterns

ALBERTO DEL PIA is recorded teaching in Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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 / 250
LEC 001Classroom Instruction0 / 250
LEC 001Classroom Instruction0 / 250

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

Meeting source records
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Student experience

the class

Past student reviews · Alberto Del Pia

Alberto Del Pia provides strong intuition for deep proofs and encourages detailed questions in class.

Recent recorded grades — Spring 2024: 3.54 GPA, 69.6% A/AB (n=23 letter grades); Spring 2025: 3.50 GPA, 68.4% A/AB (n=19 letter grades); Spring 2026: 3.57 GPA, 80.0% A/AB (n=15 letter grades).

difficulty & workload

Past student reviews · Alberto Del Pia

Homeworks were manageable and instructive, but exams were described as the challenging part of the course.

Past student reviews · Alberto Del Pia

Students found the professor kind, easygoing, and deeply caring about the subject matter.

Topics

  • Formulations, relaxations, polyhedral theory, cutting planes, decomposition, enumeration
  • Applications in combinatorial optimization

Skills

  • Explain the basics of polyhedral theory for systems of linear inequalities
  • Define perfect formulations and identify desirable properties in integer programming formulations
  • Explain how valid inequalities function as cutting planes to strengthen integer programming formulations

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.

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Selected offering source records
COMPSCI/ISYE/MATH 728 · Spring 2027

Integer Optimization

Recorded 2026-10-29
COMPSCI/ISYE/MATH 728 · Spring 2027

Integer Optimization

Recorded 2026-10-29
COMPSCI/ISYE/MATH 728 · Spring 2027

Integer Optimization

Recorded 2026-10-29
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-29

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
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