Research and Thesis

Research and Thesis under faculty supervision where students formulate and analyze advanced materials science and engineering problems.

offering recorded1–9 credits

Summary

What you’ll be able to do

  • Demonstrate an ability to formulate and analyze advanced materials science and engineering problems

  • Communicate research results in writing and seminars

  • Work independently and collaboratively, as appropriate, on solutions for materials science and engineering problems

  • Prepare for academic requirements such as the PhD thesis defense and PhD thesis

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Materials Science and Engineering Ph. D. or doctoral minor.

  • Declared in Materials Science and Engineering Ph. D. or doctoral minor.
MS&E 990

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

Prerequisite text tree
  • Declared in Materials Science and Engineering Ph. D. or doctoral minor.

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.64/5 from 22 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.90/5 from 10 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 3 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 2 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 2 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 2 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 4 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.80/5 from 10 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.64/5 from 11 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.20/5 from 5 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.33/5 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.00/5 from 4 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.14/5 from 7 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.27/5 from 11 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.

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

No course-specific feedback yet.

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.58/5 from 12 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.

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

No course-specific feedback yet.

No course-specific feedback yet.

No course-specific feedback yet.

No course-specific feedback yet.

No course-specific feedback yet.

Historical instructors & teaching patterns

ADRIEN COUET is recorded teaching in Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

BU WANG is recorded teaching in Fall 2021, Spring 2022, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

CHANG-BEOM EOM is recorded teaching in Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

DAN THOMA is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

DANE MORGAN is recorded teaching in Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Spring 2011, Fall 2011, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

DANIEL RHODES is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

DAWEI FENG is recorded teaching in Fall 2021, Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

DONALD STONE is recorded teaching in Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

FANG LIU is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

IRENA KNEZEVIC is recorded teaching in Fall 2019, Spring 2020, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.

JASON KAWASAKI is recorded teaching in Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

JENNIFER CHOY is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

JIAMIAN HU is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

JOHN PEREPEZKO is recorded teaching in Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Spring 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

JUN XIAO is recorded teaching in Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

KUMAR SRIDHARAN is recorded teaching in Fall 2018, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

LIANYI CHEN is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

LIH-SHENG TURNG is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MELIH ERITEN is recorded teaching in Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule.

MICHAEL ARNOLD is recorded teaching in Spring 2013, Fall 2013, Fall 2014, Spring 2015, Spring 2017, Fall 2017, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

PADMA GOPALAN is recorded teaching in Fall 2007, Spring 2008, Fall 2008, Spring 2011, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

PAUL EVANS is recorded teaching in Fall 2006, Fall 2007, Spring 2008, Fall 2009, Fall 2010, Spring 2011, Fall 2012, Spring 2013, Fall 2013, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

XUDONG WANG is recorded teaching in Spring 2012, Fall 2012, Spring 2013, Fall 2015, Spring 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YONGFENG ZHANG is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YUAN PING is recorded teaching in Spring 2025, Fall 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
IND 009Classroom Instruction0 / 100
IND 005Classroom Instruction0 / 100
IND 001Classroom Instruction0 / 100
IND 004Classroom Instruction0 / 100
IND 010Classroom Instruction0 / 100
IND 012Classroom Instruction0 / 100
IND 013Classroom Instruction0 / 100
IND 003Classroom Instruction0 / 100
IND 008Classroom Instruction0 / 100
IND 011Classroom Instruction0 / 100
IND 021Classroom Instruction0 / 100
IND 024Classroom Instruction0 / 100
IND 032Classroom Instruction0 / 100
IND 020Classroom Instruction0 / 100
IND 026Classroom Instruction0 / 100
IND 031Classroom Instruction0 / 100
IND 033Classroom Instruction0 / 100
IND 037Classroom Instruction0 / 100
IND 041Classroom Instruction0 / 100
IND 014Classroom Instruction0 / 100
IND 015Classroom Instruction0 / 100
IND 016Classroom Instruction0 / 100
IND 039Classroom Instruction0 / 100
IND 040Classroom Instruction0 / 100
IND 018Classroom Instruction0 / 100
IND 007Classroom Instruction0 / 100
IND 019Classroom Instruction0 / 100
IND 044Classroom Instruction0 / 100
IND 002Classroom Instruction0 / 100
IND 017Classroom Instruction0 / 100
IND 036Classroom Instruction0 / 100
IND 038Classroom Instruction0 / 100
IND 046Classroom Instruction0 / 100
IND 030Classroom Instruction0 / 100

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

Meeting source records

No records available.

Student experience

the class

Under faculty supervision.

difficulty & workload

No workload feedback recorded.

Topics

  • Advanced materials science and engineering problems
  • PhD thesis defense and PhD thesis preparation

Skills

  • Formulate and analyze advanced materials science and engineering problems
  • Communicate research results in writing and seminars
  • Work independently and collaboratively on solutions for materials science and engineering problems
  • Prepare for academic requirements such as the PhD thesis defense and PhD thesis

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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
MS&E 990 · Spring 2027

Research and Thesis

Recorded 2026-10-14
Raw records
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:636:012716",
    "course_id": "MS&E 990",
    "course_uid": "course_84600d06d91b0bf2f0160f90",
    "term_id": "1274",
    "source_course_id": "012716",
    "source_subject_id": "636",
    "title": "Research and Thesis",
    "credits_min": 1,
    "credits_max": 9,
    "typically_offered": "Occasionally"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "d4520c81198f4d5b15aa6a9987c448efb3e004f66c7ac91d9d05a1e1d10f8384",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}