Advanced Optimization Modeling
Recorded 2026-10-14Advanced Optimization Modeling
Advanced Optimization Modeling covers translating problems into optimization models and implementing them in software, focusing on discrete decisions and uncertainty.
Summary
What you’ll be able to do
Create optimization models for a wide range of realistic problem settings
Write models that can be solved more quickly by available solvers
Implement these models using available software
Provide theoretical explanations for why modeling a problem in a particular way may make it easier to solve using available methods
Source: UW Guide
Grade history
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Prerequisites
Course mapI SY E 323 or E C E/COMP SCI/I SY E 524
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Professors
Spring 2027No instructors recorded for this selection.
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Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 40 | 0 |
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Student experience
the class
Translation of problems into optimization models, including how to implement these models in relevant software. Specific topics include techniques to create models of problems with discrete decisions that can be efficiently solved by available software and modeling approaches for problems impacted by uncertainty.
difficulty & workload
No workload feedback recorded.
Topics
- Discrete decision optimization
- Optimization under uncertainty
- Software implementation of models
Skills
- Creating optimization models for realistic problems
- Writing models for efficient solving
- Implementing models in software
- Modeling problems with uncertainty
Grades
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Catalog & offerings
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Raw records
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"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:490:027273",
"course_id": "ISYE 623",
"course_uid": "course_0ac48265849c3c94b85958a1",
"term_id": "1274",
"source_course_id": "027273",
"source_subject_id": "490",
"title": "Advanced Optimization Modeling",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "f2421247e911dd0aa40e93197015643399f11f15426f09edaa3837875f246114",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}