rtclay / courser Goto Github PK
View Code? Open in Web Editor NEWCourser generates automatic solutions to scheduling requirements, such as those found in college course catalogs.
Courser generates automatic solutions to scheduling requirements, such as those found in college course catalogs.
Courser generates automatic solutions to scheduling requirements, such as those found in college course catalogs. Universities would offer it as a service to their student body. I'm pleased to announce that I now have a fully functional prototype of this program. It is mindful of subject availability each semester, class time conflicts, unit limits, subject requirements, and the possible change of requirements from semester to semester. It's written in Python, and I've attempted to wrestle it into a Django website format but have had little luck so far. I've started with MIT course 6.3 requirements, but it can be easily generalized to any goal and any catalog. Right now I'm using a simplified dataset with several limitations: I assume that every semester offers the same classes, and that the meeting times for each class are a consecutive 50 minute block (randomly assigned at creation) between the hours of 0800 and 1700, five days a week. I have so far ignored GIR and HASS classes. I've created the dataset with a mixture of manual input and text editing macros, so it's possible there are some errors in requirements. No robust user interface exists, either command line or GUI. Running these commands will print out a solution to the 6.3 requirements. from courser.Catalog import Catalog from courser.CoursePlan import CoursePlan from courser.Subject import Subject from courserTests.Dataset import Dataset dset = Dataset() dset.dataSetup() catalog = Catalog(dict(zip([str(x) for x in dset.terms], dset.terms))) cplan = CoursePlan([], catalog) goalReq = dset.reqs63 startTerm = dset.terms[0] cplan.desired = cplan.solveReq(goalReq, startTerm).getSubjects() cplan.plotRemainingSemesters() cplan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.