Spring 2027

Service Operations Management

Applies operations management principles to analyze service-delivery systems in profit and nonprofit organizations, covering design, layout, planning, yield management, technology, and quality.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 7

Past student reviews · Bob Batt

Students noted heavy pre-class reading assignments that were time-consuming and worth few points. One student described the exam grading as tough, while another found the readings valuable for education.

What you’ll be able to do

  • Utilize qualitative frameworks and quantitative tools to explain the tradeoffs involved in achieving a timely, high-quality, profitable service operations.

  • Describe the function and importance of each element in the design of a service utilizing the Service Design Framework: Service Act, Strategic Priorities, Delivery System, Funding Mechanism.

  • Evaluate service strategies and delivery systems in real companies utilizing the Service Design Framework, including identification of the service strategy being applied and explaining how facets of the service delivery system support or weaken this strategy.

  • Recognize how to manage variability and uncertainty in delivery systems through appropriate capacity planning, queue design, and revenue management.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

OTM 300

OTM 451

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

BOB BATT is recorded teaching in Spring 2014, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Spring 2019, Fall 2019, Fall 2020, Fall 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

TIMOTHY MCCLURG is recorded teaching in Fall 2021, Fall 2025. 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

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

Meeting source records
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Student experience

the class

Past student reviews · Bob Batt

Past students found Professor Batt's lectures entertaining and informative, with useful concepts applicable to various jobs. Classes often relied on discussion-based formats centered on readings.

Recent recorded grades — Fall 2023: 3.46 GPA, 77.6% A/AB (n=49 letter grades); Fall 2024: 3.38 GPA, 63.6% A/AB (n=55 letter grades); Fall 2025: 3.53 GPA, 73.7% A/AB (n=38 letter grades).

difficulty & workload

Past student reviews · Bob Batt

Students noted heavy pre-class reading assignments that were time-consuming and worth few points. One student described the exam grading as tough, while another found the readings valuable for education.

Past student reviews · Bob Batt

Students appreciated that quizzes and exams were open note or open book. Professor Batt encouraged participation and was accommodating, making it a pleasant class environment for those who engaged.

Topics

  • Designing service-delivery systems, location and layout, operations planning and control, yield management, technology and information systems, and service quality management.
  • The Service Design Framework, including Service Act, Strategic Priorities, Delivery System, and Funding Mechanism.
  • Managing variability and uncertainty through capacity planning, queue design, and revenue management.

Skills

  • Using qualitative frameworks and quantitative tools to analyze service operations tradeoffs.
  • Applying the Service Design Framework to describe service elements.
  • Evaluating service strategies and delivery systems in real companies.
  • Managing variability and uncertainty via capacity planning, queue design, and revenue management.

Grades

Latest available · Fall 2025— 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 Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1316 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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

No offering records for the selected term.

Raw records 
[]
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.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

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

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "293308a3538861a0b22612c356d12705bbb0582442ad8538cbfe5bf1c41b7d9f",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}