# INFOSYS 423: Digital Platform Analytics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/INFOSYS_423)

## 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

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| 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    |
| CURRIC    | 193   |
| 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   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| 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    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| 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

918731f646becf2f4d1088ed9e08b14fb1a3c19132c7c90ab8fe267a0b5a6298

### course id

INFOSYS 423

### course uid

course\_66917ac2b710b102608b82c8

### catalog version id

fd86815e96cf74c614b6068f094381499bb396a56efb65fc79b1fda86c24beea

### course number

423

### subjects

* INFOSYS

### title

DIGITAL PLATFORM ANALYTICS

### description

An introduction to data analysis procedures covering topics including: data collection, pre-processing, analysis, and presentation. Content covers important data analysis concepts, such as structured and unstructured data. Learn about supervised, unsupervised learning methods and advanced analytics topics, such as text mining, recommendation systems, and algorithm bias.

### requirements text

None

### credit offering ids

None recorded.

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

e4a570d7e0d29d60d41d4d4886951f024f0f5a20fe47583fe9f5cdc6781dde65

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Digital Platform Analytics introduces data analysis procedures including collection, pre-processing, and presentation of structured and unstructured data.

### llm topics

* Structured and unstructured data
* Supervised and unsupervised learning
* Text mining, recommendation systems, and algorithm bias

### llm skills

* Data collection, pre-processing, analysis, and presentation
* Supervised and unsupervised learning methods
* Text mining, recommendation systems, and algorithm bias

### llm assumed background

None recorded.

### llm search phrases

* data analysis procedures
* supervised unsupervised learning
* text mining recommendation systems
* algorithm bias
* structured unstructured data

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

08f4b26f60ad8c7862229b96b4430f07d2d3f4f01aa16ba1ce64ce6344654ff6

#### course id

INFOSYS 423

#### current instructors

None recorded.

#### difficulty workload

Historical reviews of Qinglai He: Reviewers rated the difficulty as low to moderate, with scores of 2 and 3 out of 5, suggesting the course is manageable.

```json
{
  "citations": [
    {
      "instructor_name": "Qinglai He",
      "review_date": "2025-11-15 05:17:15 +0000 UTC",
      "review_id": "0547050a6abb4dbfeade269f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQxODcyOTgw",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    },
    {
      "instructor_name": "Qinglai He",
      "review_date": "2026-04-20 01:25:47 +0000 UTC",
      "review_id": "8569b1c90d5a7a55596c7394",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQyODcyNjMx",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Qinglai He: Qinglai He is described as an exceptionally caring and passionate instructor who deeply wants students to succeed. Reviewers highlight her engaging teaching style and genuine dedication, with one calling her the best professor they have encountered.

```json
{
  "citations": [
    {
      "instructor_name": "Qinglai He",
      "review_date": "2025-11-15 05:17:15 +0000 UTC",
      "review_id": "0547050a6abb4dbfeade269f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQxODcyOTgw",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    },
    {
      "instructor_name": "Qinglai He",
      "review_date": "2026-04-20 01:25:47 +0000 UTC",
      "review_id": "8569b1c90d5a7a55596c7394",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQyODcyNjMx",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    }
  ]
}
```

#### offered

false

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Historical reviews for Qinglai He describe an exceptionally engaging and caring instructor who is passionate about her topics and deeply wants students to succeed.

```json
{
  "citations": [
    {
      "instructor_name": "Qinglai He",
      "review_date": "2025-11-15 05:17:15 +0000 UTC",
      "review_id": "0547050a6abb4dbfeade269f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQxODcyOTgw",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    },
    {
      "instructor_name": "Qinglai He",
      "review_date": "2026-04-20 01:25:47 +0000 UTC",
      "review_id": "8569b1c90d5a7a55596c7394",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQyODcyNjMx",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2024: 3.44 GPA, 66.7% A/AB (n=9 letter grades); Spring 2025: 3.50 GPA, 69.1% A/AB (n=55 letter grades); Spring 2026: 3.64 GPA, 82.1% A/AB (n=67 letter grades).

```json
{
  "citations": [
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1244",
      "type": "grade"
    },
    {
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      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1254",
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    },
    {
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      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Historical reviews of Qinglai He: Students found the class highly engaging due to the instructor's passion, describing her as sweet and genuinely good at her job.

```json
{
  "citations": [
    {
      "instructor_name": "Qinglai He",
      "review_date": "2025-11-15 05:17:15 +0000 UTC",
      "review_id": "0547050a6abb4dbfeade269f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQxODcyOTgw",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    },
    {
      "instructor_name": "Qinglai He",
      "review_date": "2026-04-20 01:25:47 +0000 UTC",
      "review_id": "8569b1c90d5a7a55596c7394",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2909003",
      "source_review_id": "UmF0aW5nLTQyODcyNjMx",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

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

```json
{
  "citations": [
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1244",
      "type": "grade"
    },
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1244",
      "type": "grade"
    },
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1254",
      "type": "grade"
    },
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1254",
      "type": "grade"
    },
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1264",
      "type": "grade"
    },
    {
      "course_id": "INFOSYS 423",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
      "source_record": {
        "entity_id": "3f119325-5389-3a86-9217-82da3aaa7b91",
        "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
[
  {
    "children": [],
    "condition": "None",
    "course": null,
    "evidence": "None",
    "id": "source_requirements",
    "kind": "condition"
  }
]
```

#### notes

* Display fallback using original requirements text; not an LLM-parsed rule.

#### root

source\_requirements

#### status

needs\_review

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_abcd9467951e2baced38bc1e",
    "source": "madgrades",
    "source_instructor_id": "6398589",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "QINGLAI HE",
    "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": 2,
      "quality": 5,
      "difficulty": 2.5,
      "quality_count": 2,
      "difficulty_count": 2,
      "profile_id": "rmp:2909003",
      "source_url": "https://www.ratemyprofessors.com/professor/2909003",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:11:12.683624+00:00",
      "courses": {
        "course_66917ac2b710b102608b82c8": {
          "review_count": 2,
          "quality": 5,
          "difficulty": 2.5,
          "quality_count": 2,
          "difficulty_count": 2
        }
      },
      "bayesian_quality": 3.781532530496905,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.688,
      "graded": 221,
      "counts": [
        135,
        47,
        31,
        3,
        5,
        0,
        0
      ],
      "sections": 10
    },
    "instructor_url": "/instructors/QINGLAI_HE--instructor_abcd9467951e2baced38bc1e"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INFOSYS 423",
    "course_uid": "course_66917ac2b710b102608b82c8",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Qinglai He"
    ],
    "a": 4,
    "ab": 2,
    "b": 2,
    "bc": 0,
    "c": 1,
    "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": 9,
    "source_aliases": [
      "INFOSYS 423"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INFOSYS 423",
    "course_uid": "course_66917ac2b710b102608b82c8",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Qinglai He"
    ],
    "a": 22,
    "ab": 16,
    "b": 13,
    "bc": 3,
    "c": 1,
    "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": 55,
    "source_aliases": [
      "INFOSYS 423"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INFOSYS 423",
    "course_uid": "course_66917ac2b710b102608b82c8",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Qinglai He"
    ],
    "a": 37,
    "ab": 18,
    "b": 9,
    "bc": 0,
    "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": 67,
    "source_aliases": [
      "INFOSYS 423"
    ]
  }
]
```

### statistics

#### gpa

3.569

#### graded

131

#### counts

* 63
* 36
* 24
* 3
* 5
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_66917ac2b710b102608b82c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_66917ac2b710b102608b82c8-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_66917ac2b710b102608b82c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_66917ac2b710b102608b82c8-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_66917ac2b710b102608b82c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_66917ac2b710b102608b82c8-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_66917ac2b710b102608b82c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_66917ac2b710b102608b82c8-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.568702290076336

#### count

131

#### university

##### size

2411

##### gpa Percentile

29

##### count Percentile

63

##### median Count

90

##### 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 | 163   | false   |
| 3.2–3.6 | 604   | true    |
| 3.6–4.0 | 1627  | false   |

#### departments

| subject | comparison |
| ------- | ---------- |
| INFOSYS |            |

### terms

#### 1244

##### term

1244

##### gpa

3.4444444444444446

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| INFOSYS |            |

#### 1254

##### term

1254

##### gpa

3.5

##### count

55

##### university

###### size

1289

###### gpa Percentile

31

###### count Percentile

41

###### 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

| subject | comparison |
| ------- | ---------- |
| INFOSYS |            |

#### 1264

##### term

1264

##### gpa

3.6417910447761193

##### count

67

##### university

###### size

1283

###### gpa Percentile

43

###### count Percentile

50

###### 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

| subject | comparison |
| ------- | ---------- |
| INFOSYS |            |

### benchmarks

#### all

##### school

###### size

2411

###### gpa

3.6770271983084943

###### top Share

83.11222705251026

###### count

90

#### terms

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_abcd9467951e2baced38bc1e",
    "name": "QINGLAI HE",
    "count": 131,
    "terms": [
      {
        "term": "1244",
        "count": 9,
        "sections": 2,
        "gpa": 3.4444444444444446
      },
      {
        "term": "1254",
        "count": 55,
        "sections": 2,
        "gpa": 3.5
      },
      {
        "term": "1264",
        "count": 67,
        "sections": 2,
        "gpa": 3.6417910447761193
      }
    ]
  }
]
```

## following

None recorded.
