REST API with course description searching. This api is designed specifically for the UIUC Classes Bot on Discord, but is live for anyone to use.
This API used to run on heroku, but I took it down due to cost concerns. If you would like it back up for your projects, make an issue on this github repo and I'll be in touch!
Returns the classes matching the provided subject and number parameters.
Both of these parameters are optional; for example, a GET to /api/classes/?subject=CS will return all stored CS courses.
Example response (?subject=CS&number=124):
[
{
"credit_hours": "3 hours.",
"degree_attributes": "Quantitative Reasoning I course.",
"description": "Basic concepts in computing and fundamental techniques for solving computational problems. Intended as a first course for computer science majors and others with a deep interest in computing. Credit is not given for both CS 124 and CS 125. Prerequisite: Three years of high school mathematics or MATH 112.",
"gpa": "None",
"label": "CS 124",
"name": "Introduction to Computer Science I",
"number": 124,
"subject": "CS",
"yearterm": "Spring 2022"
}
]
Returns the all stored courses.
Example response:
[
{
"credit_hours": "3 hours.",
"degree_attributes": "Social & Beh Sci - Soc Sci, and Cultural Studies - US Minority course.",
"description": "Interdisciplinary introduction to the basic concepts and approaches in Asian American Studies. Surveys the various dimensions of Asian American experiences including history, social organization, literature, arts, and politics.",
"gpa": "3.59",
"label": "AAS 100",
"name": "Intro Asian American Studies",
"number": 100,
"subject": "AAS",
"yearterm": "Spring 2022"
},
{
"credit_hours": "3 hours.",
"degree_attributes": "Cultural Studies - US Minority course.",
"description": "Interdisciplinary introduction to the basic concepts and approaches in Arab American Studies. Addresses the issues of history, race, social organization, politics, literature, and art related to Arab American experiences.",
"gpa": "3.76",
"label": "AAS 105",
"name": "Introduction to Arab American Studies",
"number": 105,
"subject": "AAS",
"yearterm": "Spring 2022"
},
{
"credit_hours": "3 hours.",
"degree_attributes": "Social & Beh Sci - Soc Sci, and Cultural Studies - US Minority course.",
"description": "Same as AFRO 201, LLS 201, and PS 201. See PS 201.",
"gpa": "None",
"label": "AAS 201",
"name": "US Racial & Ethnic Politics",
"number": 201,
"subject": "AAS",
"yearterm": "Spring 2022"
},
...
]
Uses the Whoosh library to perform a search on the name, label,
and description fields of the database based on the provided query. Returns the relevant found text markdownified.
Also returns the original entry under the raw field.
Example response (?query=digital+signal+processing):
[
{
"credit_hours": "3 hours.",
"description": "and discrete-time **signal** **processing** with an emphasis...analog-to-**digital** and **digital**-to-analog conversion...and applications of **digital** **signal** **processing**. Prerequisite",
"gpa": "3.02",
"label": "ECE 310",
"name": "**Digital** **Signal** **Processing**",
"number": 310,
"raw": {
"credit_hours": "3 hours.",
"description": "Introduction to discrete-time systems and discrete-time signal processing with an emphasis on causal systems; discrete-time linear systems, difference equations, z-transforms, discrete convolution, stability, discrete-time Fourier transforms, analog-to-digital and digital-to-analog conversion, digital filter design, discrete Fourier transforms, fast Fourier transforms, spectral analysis, and applications of digital signal processing. Prerequisite: ECE 210.",
"gpa": "3.02",
"label": "ECE 310",
"name": "Digital Signal Processing",
"number": 310,
"subject": "ECE",
"yearterm": "Spring 2022"
},
"subject": "ECE",
"yearterm": "Spring 2022"
},
{
"credit_hours": "4 hours.",
"description": "concept review of **digital** **signals** and systems; computer...aided **digital** filter design, quantization...to adaptive **signal** **processing**. Prerequisite",
"gpa": "3.66",
"label": "ECE 551",
"name": "**Digital** **Signal** **Processing** II",
"number": 551,
"raw": {
"credit_hours": "4 hours.",
"description": "Basic concept review of digital signals and systems; computer-aided digital filter design, quantization effects, decimation and interpolation, and fast algorithms for convolution and the DFT; introduction to adaptive signal processing. Prerequisite: ECE 310 and ECE 313.",
"gpa": "3.66",
"label": "ECE 551",
"name": "Digital Signal Processing II",
"number": 551,
"subject": "ECE",
"yearterm": "Fall 2021"
},
"subject": "ECE",
"yearterm": "Fall 2021"
},
...
]