# ME 376: Introduction to Mechatronics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ME_376)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
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| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
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| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
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| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
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| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
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| GENECSLR  | 17    |
| GENETICS  | 60    |
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| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
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| ITALIAN   | 53    |
| JEWISH    | 56    |
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| KINES     | 128   |
| LACIS     | 26    |
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| LAW       | 120   |
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| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

a3e9d9249dedd7d2f4c0e489db532035d50c9d4cd58a66222960bb61aee8c158

### course id

ME 376

### course uid

course\_34f87beaf42d9c5ae4559375

### catalog version id

fe212575b7bb9abc18caba2300c20f4f2e9c07daa0b4c645b06e88bc43d71a78

### course number

376

### subjects

* ME

### title

INTRODUCTION TO MECHATRONICS

### description

Fundamentals of DC and AC circuit analysis and design, stressing tools needed to understand circuits typically used in instrumentation and control of physical systems (sensors/actuators); an introduction to the design of active and passive linear circuits for buffering and filtering signals; an introduction to digital circuits, Boolean logic, programming, especially as needed for computer interface operations in mechanical engineering applications (example: embedded microcontrollers). Laboratory exercises.

### requirements text

(M E 340or concurrent enrollment), (MATH 320,319, or376), and (PHYSICS 202,208, or248), or graduate/professional standing

### credits min

4

### credits max

4

### credit offering ids

* 1272:612:026524

### llm job id

enrich-ecd149b6a6e0877fce2f3d1c

### llm output id

4b70d9c9eab17220a29b76b32ae2a01401188599a497ea4d84bd8e11712f9d8e

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Introduction to mechatronics covering DC/AC circuit analysis, linear circuit design for signal processing, and digital logic/programming for embedded systems in mechanical engineering.

### llm topics

* DC and AC circuit analysis
* Linear circuit design for buffering and filtering
* Digital circuits and Boolean logic
* Embedded microcontrollers and computer interfaces

### llm skills

* DC and AC circuit analysis and design
* Instrumentation and control circuit understanding
* Active and passive linear circuit design
* Digital circuits, Boolean logic, and embedded programming

### llm assumed background

* Dynamic systems modeling and analysis
* Linear algebra and differential equations
* Ordinary differential equations techniques
* Calculus-based physics (electricity and magnetism)

### llm search phrases

* mechatronics introduction
* DC AC circuit analysis ME 376
* embedded microcontrollers mechanical engineering
* sensor actuator instrumentation control

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

82b09b9b5c413ae12f45e88b7cd1a0d8625234cd7317a51208adca76e407c9fb

#### course id

ME 376

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_561adca534f433c99b5b2836",
    "message": "No course-specific reviews available",
    "name": "Peter Adamczyk",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2215832",
    "summary": [
      {
        "citations": [
          {
            "course_id": "ME 376",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
            "source_record": {
              "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1244",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Spring 2024: 3.50 GPA, 75.6% A/AB (n=41 letter grades)."
      }
    ]
  },
  {
    "instructor_uid": "instructor_b7e81dfda07ba805b1ae5362",
    "message": null,
    "name": "Wei Wang",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:3035190",
    "summary": [
      {
        "citations": [
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-10-13 20:27:07 +0000 UTC",
            "review_id": "bbfbd5877ea654357fa88b41",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTM5ODA5NjYz",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          },
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-10-14 02:34:17 +0000 UTC",
            "review_id": "c4d3204bd6b16f370ca7296c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTM5ODEwNTAz",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          },
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-12-03 20:11:21 +0000 UTC",
            "review_id": "a25f1c05d500b24912beda97",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTQwMDg0NTQ5",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          },
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-12-11 19:11:19 +0000 UTC",
            "review_id": "2310d90c9ccc7724df5ea27f",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTQwMjI2Mjky",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          },
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-12-13 00:47:10 +0000 UTC",
            "review_id": "000e4d2431d79a801c8a681a",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTQwMjYzOTIz",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          },
          {
            "instructor_name": "Wei Wang",
            "review_date": "2024-12-22 04:39:47 +0000 UTC",
            "review_id": "e05ffdb029e6a86afa9808fe",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:3035190",
            "source_review_id": "UmF0aW5nLTQwNDEzNjEy",
            "source_url": "https://www.ratemyprofessors.com/professor/3035190",
            "type": "review"
          }
        ],
        "text": "Wei Wang receives uniformly negative reviews for unclear lectures, frequent errors, and poor alignment with labs. Students report high workload, mandatory attendance, and self-directed learning. One reviewer notes a decent grading scale despite the poor instruction."
      },
      {
        "citations": [
          {
            "course_id": "ME 376",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
            "source_record": {
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            "table": "section_grades_latest",
            "term_id": "1264",
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        ],
        "text": "Recent recorded grades — Fall 2024: 3.72 GPA, 86.7% A/AB (n=105 letter grades); Spring 2026: 3.60 GPA, 79.7% A/AB (n=172 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

Students report high difficulty due to mandatory readings three times a week, tedious labs, and significant time spent outside class preparing for exams.

```json
{
  "citations": [
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-13 20:27:07 +0000 UTC",
      "review_id": "bbfbd5877ea654357fa88b41",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODA5NjYz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-14 02:34:17 +0000 UTC",
      "review_id": "c4d3204bd6b16f370ca7296c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODEwNTAz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-03 20:11:21 +0000 UTC",
      "review_id": "a25f1c05d500b24912beda97",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMDg0NTQ5",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-11 19:11:19 +0000 UTC",
      "review_id": "2310d90c9ccc7724df5ea27f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjI2Mjky",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-13 00:47:10 +0000 UTC",
      "review_id": "000e4d2431d79a801c8a681a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjYzOTIz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Paul Milenkovic describe him as difficult and a poor teacher. One reviewer reported that he deducted points for incorrect attempts on in-class quizzes and made the course unnecessarily hard. The reviewer's satisfaction with the instructor decreased significantly over the semester.

```json
{
  "citations": [
    {
      "instructor_name": "Paul Milenkovic",
      "review_date": "2016-04-03 19:27:56 +0000 UTC",
      "review_id": "a4e144f9cff0c2cee4d4e0cb",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:131224",
      "source_review_id": "UmF0aW5nLTI2MjIzMjIz",
      "source_url": "https://www.ratemyprofessors.com/professor/131224",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Wei Wang receives uniformly negative reviews for ineffective teaching, unclear lectures, and poor alignment between course materials, though one reviewer notes a decent grading scale.

```json
{
  "citations": [
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-13 20:27:07 +0000 UTC",
      "review_id": "bbfbd5877ea654357fa88b41",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODA5NjYz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-14 02:34:17 +0000 UTC",
      "review_id": "c4d3204bd6b16f370ca7296c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODEwNTAz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-03 20:11:21 +0000 UTC",
      "review_id": "a25f1c05d500b24912beda97",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMDg0NTQ5",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-11 19:11:19 +0000 UTC",
      "review_id": "2310d90c9ccc7724df5ea27f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjI2Mjky",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-13 00:47:10 +0000 UTC",
      "review_id": "000e4d2431d79a801c8a681a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjYzOTIz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-22 04:39:47 +0000 UTC",
      "review_id": "e05ffdb029e6a86afa9808fe",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwNDEzNjEy",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2025: 3.41 GPA, 65.0% A/AB (n=163 letter grades); Fall 2025: 3.43 GPA, 65.5% A/AB (n=119 letter grades); Spring 2026: 3.60 GPA, 79.7% A/AB (n=172 letter grades).

```json
{
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      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1262",
      "type": "grade"
    },
    {
      "course_id": "ME 376",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Reviewers describe lectures as ineffective and confusing, with materials rarely aligning, forcing students to rely on supplemental resources and self-study.

```json
{
  "citations": [
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-13 20:27:07 +0000 UTC",
      "review_id": "bbfbd5877ea654357fa88b41",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODA5NjYz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-10-14 02:34:17 +0000 UTC",
      "review_id": "c4d3204bd6b16f370ca7296c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTM5ODEwNTAz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-03 20:11:21 +0000 UTC",
      "review_id": "a25f1c05d500b24912beda97",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMDg0NTQ5",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-11 19:11:19 +0000 UTC",
      "review_id": "2310d90c9ccc7724df5ea27f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjI2Mjky",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-13 00:47:10 +0000 UTC",
      "review_id": "000e4d2431d79a801c8a681a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwMjYzOTIz",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    },
    {
      "instructor_name": "Wei Wang",
      "review_date": "2024-12-22 04:39:47 +0000 UTC",
      "review_id": "e05ffdb029e6a86afa9808fe",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3035190",
      "source_review_id": "UmF0aW5nLTQwNDEzNjEy",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

PETER ADAMCZYK is recorded teaching in Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "ME 376",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
      "source_record": {
        "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1244",
      "type": "grade"
    }
  ]
}
```

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

```json
{
  "citations": [
    {
      "course_id": "ME 376",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
      "source_record": {
        "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "ME 376",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
      "source_record": {
        "entity_id": "85658819-33dc-39ac-ba06-aa9e2ae8e3fc",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
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      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "(M E 340or concurrent enrollment), (MATH 320,319, or376), and (PHYSICS 202,208, or248), or graduate/professional standing",
    "id": "n0",
    "kind": "any"
  },
  {
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      "n3",
      "n4",
      "n5"
    ],
    "condition": null,
    "course": null,
    "evidence": "(M E 340or concurrent enrollment), (MATH 320,319, or376), and (PHYSICS 202,208, or248)",
    "id": "n1",
    "kind": "all"
  },
  {
    "children": [],
    "condition": "graduate/professional standing",
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    "evidence": "graduate/professional standing",
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      "minimum_grade": null,
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        "ME"
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    "evidence": "M E 340or concurrent enrollment",
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    ],
    "condition": null,
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    "condition": null,
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    "evidence": "(PHYSICS 202,208, or248)",
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        "MATH"
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      "timing": "prior"
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    "evidence": "MATH 320",
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    "kind": "course"
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      "minimum_grade": null,
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        "MATH"
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      "timing": "prior"
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    "evidence": "319",
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    "kind": "course"
  },
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        "MATH"
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      "timing": "prior"
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    "evidence": "376",
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    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
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      "minimum_grade": null,
      "subjects": [
        "PHYSICS"
      ],
      "timing": "prior"
    },
    "evidence": "PHYSICS 202",
    "id": "n9",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
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      "minimum_grade": null,
      "subjects": [
        "PHYSICS"
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      "timing": "prior"
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    "evidence": "208",
    "id": "n10",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 248,
      "minimum_grade": null,
      "subjects": [
        "PHYSICS"
      ],
      "timing": "prior"
    },
    "evidence": "248",
    "id": "n11",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
[
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    "instructor_uid": "instructor_b85e4f4e50f7b64decbf9f6b",
    "source": "enrollment",
    "source_instructor_id": "ampolman",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Arrington Polman",
    "email": "AMPOLMAN@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/ARRINGTON_POLMAN"
  },
  {
    "instructor_uid": "instructor_b771c72903ccdd3741f7b216",
    "source": "enrollment",
    "source_instructor_id": "anilkumar4",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Ashvin Anilkumar",
    "email": "ANILKUMAR4@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/ASHVIN_ANILKUMAR"
  },
  {
    "instructor_uid": "instructor_0f04d3f8db972451aff08e9b",
    "source": "enrollment",
    "source_instructor_id": "kirsanov",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Daniil Kirsanov",
    "email": "KIRSANOV@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/DANIIL_KIRSANOV"
  },
  {
    "instructor_uid": "instructor_7dbea1da16c7d33a0cb59980",
    "source": "enrollment",
    "source_instructor_id": "jzhang2992",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Jiayi Zhang",
    "email": "JZHANG2992@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/JIAYI_ZHANG"
  },
  {
    "instructor_uid": "instructor_561adca534f433c99b5b2836",
    "source": "enrollment",
    "source_instructor_id": "padamczyk2",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Peter Adamczyk",
    "email": "PETER.ADAMCZYK@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "quality": 4.71,
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      "profile_id": "rmp:2215832",
      "source_url": "https://www.ratemyprofessors.com/professor/2215832",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:12:08.814197+00:00",
      "courses": {
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        "course_57aa219a4d095137406e82be": {
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    "instructor_url": "/instructors/PETER_ADAMCZYK"
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    "name": "Wei Wang",
    "email": "WWANG745@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "instructor_url": "/instructors/WEI_WANG"
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]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:612:026524",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1272",
    "source_course_id": "026524",
    "source_subject_id": "612",
    "title": "Introduction to Mechatronics",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "term_id": "1272",
    "source_section_id": "27819",
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    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
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    "section_uid": "uw-section:1272:29399",
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    "section_uid": "uw-section:1272:29400",
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    "identity_basis": "class_number",
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    "end_date": "2026-12-09 06:00:00+00:00"
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    "section_uid": "uw-section:1272:29402",
    "term_id": "1272",
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]
```

### grade instructors

```json
[
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    "identity_status": "source_identified",
    "name": "LEI ZHOU",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
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    "instructor_url": "/instructors/LEI_ZHOU--instructor_0ff581af550a361f4b33fd23"
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    "source": "madgrades",
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    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "BOLUN ZHANG",
    "email": null,
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "name": "MEGH VIPUL DOSHI",
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    "identity_status": "source_identified",
    "name": "PETER ADAMCZYK",
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      },
      "bayesian_quality": 4.092168107968585,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.337,
      "graded": 1179,
      "counts": [
        363,
        366,
        278,
        105,
        45,
        15,
        7
      ],
      "sections": 104
    },
    "instructor_url": "/instructors/PETER_ADAMCZYK--instructor_29548c848eb38e03c1e32934"
  },
  {
    "instructor_uid": "instructor_24e3ea32a2b2135ada3a0a87",
    "source": "madgrades",
    "source_instructor_id": "6675022",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "WEI WANG",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 6,
      "quality": 1,
      "difficulty": 4.5,
      "quality_count": 6,
      "difficulty_count": 6,
      "profile_id": "rmp:3035190",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:22:28.225111+00:00",
      "courses": {
        "course_34f87beaf42d9c5ae4559375": {
          "review_count": 6,
          "quality": 1,
          "difficulty": 4.5,
          "quality_count": 6,
          "difficulty_count": 6
        }
      },
      "bayesian_quality": 3.045912141189689,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.665,
      "graded": 291,
      "counts": [
        174,
        68,
        34,
        9,
        3,
        2,
        1
      ],
      "sections": 15
    },
    "instructor_url": "/instructors/WEI_WANG--instructor_24e3ea32a2b2135ada3a0a87"
  },
  {
    "instructor_uid": "instructor_0f04d3f8db972451aff08e9b",
    "source": "enrollment",
    "source_instructor_id": "kirsanov",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Daniil Kirsanov",
    "email": "KIRSANOV@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/DANIIL_KIRSANOV"
  },
  {
    "instructor_uid": "instructor_561adca534f433c99b5b2836",
    "source": "enrollment",
    "source_instructor_id": "padamczyk2",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Peter Adamczyk",
    "email": "PETER.ADAMCZYK@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 14,
      "quality": 4.71,
      "difficulty": 4,
      "quality_count": 14,
      "difficulty_count": 14,
      "profile_id": "rmp:2215832",
      "source_url": "https://www.ratemyprofessors.com/professor/2215832",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:12:08.814197+00:00",
      "courses": {
        "course_3e76f42476ef5e31cd0ae175": {
          "review_count": 4,
          "quality": 4.25,
          "difficulty": 3.75,
          "quality_count": 4,
          "difficulty_count": 4
        },
        "course_57aa219a4d095137406e82be": {
          "review_count": 8,
          "quality": 4.88,
          "difficulty": 4.12,
          "quality_count": 8,
          "difficulty_count": 8
        }
      },
      "bayesian_quality": 4.092168107968585,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/PETER_ADAMCZYK"
  },
  {
    "instructor_uid": "instructor_7dbea1da16c7d33a0cb59980",
    "source": "enrollment",
    "source_instructor_id": "jzhang2992",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Jiayi Zhang",
    "email": "JZHANG2992@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/JIAYI_ZHANG"
  },
  {
    "instructor_uid": "instructor_b771c72903ccdd3741f7b216",
    "source": "enrollment",
    "source_instructor_id": "anilkumar4",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Ashvin Anilkumar",
    "email": "ANILKUMAR4@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/ASHVIN_ANILKUMAR"
  },
  {
    "instructor_uid": "instructor_b7e81dfda07ba805b1ae5362",
    "source": "enrollment",
    "source_instructor_id": "wwang745",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Wei Wang",
    "email": "WWANG745@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 6,
      "quality": 1,
      "difficulty": 4.5,
      "quality_count": 6,
      "difficulty_count": 6,
      "profile_id": "rmp:3035190",
      "source_url": "https://www.ratemyprofessors.com/professor/3035190",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:22:28.225111+00:00",
      "courses": {
        "course_34f87beaf42d9c5ae4559375": {
          "review_count": 6,
          "quality": 1,
          "difficulty": 4.5,
          "quality_count": 6,
          "difficulty_count": 6
        }
      },
      "bayesian_quality": 3.045912141189689,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/WEI_WANG"
  },
  {
    "instructor_uid": "instructor_b85e4f4e50f7b64decbf9f6b",
    "source": "enrollment",
    "source_instructor_id": "ampolman",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Arrington Polman",
    "email": "AMPOLMAN@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/ARRINGTON_POLMAN"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "BOLUN ZHANG",
      "Lei Zhou",
      "MEGH VIPUL DOSHI"
    ],
    "a": 7,
    "ab": 9,
    "b": 4,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 20,
    "source_aliases": [
      "ME 376"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Peter Adamczyk"
    ],
    "a": 11,
    "ab": 20,
    "b": 9,
    "bc": 1,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 41,
    "source_aliases": [
      "ME 376"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Wei Wang"
    ],
    "a": 71,
    "ab": 20,
    "b": 11,
    "bc": 1,
    "c": 0,
    "d": 1,
    "f": 1,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 106,
    "source_aliases": [
      "ME 376"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Lei Zhou"
    ],
    "a": 42,
    "ab": 64,
    "b": 45,
    "bc": 9,
    "c": 3,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 163,
    "source_aliases": [
      "ME 376"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Lei Zhou"
    ],
    "a": 37,
    "ab": 41,
    "b": 31,
    "bc": 8,
    "c": 2,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 120,
    "source_aliases": [
      "ME 376"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ME 376",
    "course_uid": "course_34f87beaf42d9c5ae4559375",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Wei Wang"
    ],
    "a": 89,
    "ab": 48,
    "b": 23,
    "bc": 8,
    "c": 3,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 172,
    "source_aliases": [
      "ME 376"
    ]
  }
]
```

### statistics

#### gpa

3.531

#### graded

620

#### counts

* 257
* 202
* 123
* 27
* 8
* 2
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_34f87beaf42d9c5ae4559375-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_34f87beaf42d9c5ae4559375-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_34f87beaf42d9c5ae4559375-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_34f87beaf42d9c5ae4559375-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_34f87beaf42d9c5ae4559375-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_34f87beaf42d9c5ae4559375-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_34f87beaf42d9c5ae4559375-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_34f87beaf42d9c5ae4559375-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_34f87beaf42d9c5ae4559375-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_34f87beaf42d9c5ae4559375-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.5314516129032256

#### count

620

#### university

##### size

3801

##### gpa Percentile

24

##### count Percentile

92

##### median Count

100

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 12    | false   |
| 2.8–3.2 | 209   | false   |
| 3.2–3.6 | 936   | true    |
| 3.6–4.0 | 2644  | false   |

#### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 65,
      "gpaPercentile": 39,
      "countPercentile": 75,
      "medianCount": 95,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 6,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 25,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 34,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1242

##### term

1242

##### gpa

3.575

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| ME      |            |

#### 1244

##### term

1244

##### gpa

3.5

##### count

41

##### university

###### size

1241

###### gpa Percentile

33

###### count Percentile

24

###### median Count

65

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 9     | false   |
| 2.8–3.2 | 151   | false   |
| 3.2–3.6 | 373   | true    |
| 3.6–4.0 | 706   | false   |

##### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 27,
      "gpaPercentile": 35,
      "countPercentile": 19,
      "medianCount": 109,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.719047619047619

##### count

105

##### university

###### size

1333

###### gpa Percentile

55

###### count Percentile

69

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 115   | false   |
| 3.2–3.6 | 431   | false   |
| 3.6–4.0 | 773   | true    |

##### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 28,
      "gpaPercentile": 59,
      "countPercentile": 48,
      "medianCount": 116.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 14,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": true
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.4079754601226995

##### count

163

##### university

###### size

1289

###### gpa Percentile

25

###### count Percentile

83

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 128   | false   |
| 3.2–3.6 | 379   | true    |
| 3.6–4.0 | 765   | false   |

##### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 28,
      "gpaPercentile": 37,
      "countPercentile": 70,
      "medianCount": 121.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.4327731092436973

##### count

119

##### university

###### size

1320

###### gpa Percentile

25

###### count Percentile

72

###### median Count

70

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 8     | false   |
| 2.8–3.2 | 133   | false   |
| 3.2–3.6 | 381   | true    |
| 3.6–4.0 | 797   | false   |

##### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 31,
      "gpaPercentile": 40,
      "countPercentile": 53,
      "medianCount": 99,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": false
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.604651162790698

##### count

172

##### university

###### size

1283

###### gpa Percentile

39

###### count Percentile

84

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 20    | false   |
| 2.8–3.2 | 130   | false   |
| 3.2–3.6 | 343   | false   |
| 3.6–4.0 | 789   | true    |

##### departments

```json
[
  {
    "subject": "ME",
    "comparison": {
      "size": 25,
      "gpaPercentile": 50,
      "countPercentile": 71,
      "medianCount": 131,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3801

###### gpa

3.6947140786559496

###### top Share

84.06396268479713

###### count

100

##### ME

###### size

65

###### gpa

3.6023961674191782

###### top Share

78.22554841143888

###### count

95

#### terms

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### ME

###### size

31

###### gpa

3.5460868086391497

###### top Share

75.80892567064664

###### count

107

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### ME

###### size

27

###### gpa

3.5546362177685946

###### top Share

76.5080798186604

###### count

109

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### ME

###### size

28

###### gpa

3.5912563782704816

###### top Share

76.82128204846178

###### count

116.5

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### ME

###### size

28

###### gpa

3.6206917860927894

###### top Share

78.31689014028125

###### count

121.5

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### ME

###### size

31

###### gpa

3.5621240602604693

###### top Share

74.89090043988932

###### count

99

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### ME

###### size

25

###### gpa

3.5110862399220912

###### top Share

72.3479757717731

###### count

131

## instructor Trends

```json
[
  {
    "uid": "instructor_0ff581af550a361f4b33fd23",
    "name": "LEI ZHOU",
    "count": 302,
    "terms": [
      {
        "term": "1242",
        "count": 20,
        "sections": 1,
        "gpa": 3.575
      },
      {
        "term": "1254",
        "count": 163,
        "sections": 1,
        "gpa": 3.4079754601226995
      },
      {
        "term": "1262",
        "count": 119,
        "sections": 1,
        "gpa": 3.4327731092436973
      }
    ]
  },
  {
    "uid": "instructor_24e3ea32a2b2135ada3a0a87",
    "name": "WEI WANG",
    "count": 277,
    "terms": [
      {
        "term": "1252",
        "count": 105,
        "sections": 1,
        "gpa": 3.719047619047619
      },
      {
        "term": "1264",
        "count": 172,
        "sections": 1,
        "gpa": 3.604651162790698
      }
    ]
  },
  {
    "uid": "instructor_29548c848eb38e03c1e32934",
    "name": "PETER ADAMCZYK",
    "count": 41,
    "terms": [
      {
        "term": "1244",
        "count": 41,
        "sections": 1,
        "gpa": 3.5
      }
    ]
  },
  {
    "uid": "instructor_7417b47f7539065fd70d9cc7",
    "name": "BOLUN ZHANG",
    "count": 20,
    "terms": [
      {
        "term": "1242",
        "count": 20,
        "sections": 1,
        "gpa": 3.575
      }
    ]
  },
  {
    "uid": "instructor_da6ccd91966b24e12bddc74c",
    "name": "MEGH VIPUL DOSHI",
    "count": 20,
    "terms": [
      {
        "term": "1242",
        "count": 20,
        "sections": 1,
        "gpa": 3.575
      }
    ]
  }
]
```

## following

| code   | title                                         |
| ------ | --------------------------------------------- |
| ME 368 | ENGINEERING MEASUREMENTS AND INSTRUMENTATION  |
| ME 445 | MECHATRONICS IN CONTROL & PRODUCT REALIZATION |
| ME 455 | MICROROBOTICS                                 |

## projection

### target

1272

### gpa

3.534769170225074

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 42.411429263688696  |
| AB    | 31.591730406928768  |
| B     | 19.779252719192762  |
| BC    | 4.475237531769176   |
| C     | 1.2006110465579376  |
| D     | 0.33306946338482213 |
| F     | 0.20866956847785334 |

### source Terms

* 1264
* 1262
* 1254
* 1252
* 1244

### source Count

600

### same Season

false

### historical Range

* 3.4079754601226995
* 3.719047619047619
