The computer science semester at NMSU, on your calendar

Computer Science at NMSU means programming projects, problem sets, and exam weeks — usually across courses like data structures, algorithms, and discrete math. Upload each syllabus and every deadline lands on your calendar in 30 seconds, weighted by what actually moves your grade.

30-second setup No account to try Works alongside Canvas

How computer science students at NMSU stay ahead

NMSU runs on Canvas, but professors don’t always put every deadline there — the syllabus is the source of truth. Classmaite works straight from it, so nothing that’s graded stays buried in a PDF.

1

Drop your syllabus

Upload any PDF, Word doc, or screenshot.

2

Review what we found

Assignments, exams, grading breakdown, readings — edit anything in one click.

3

Sync your calendar

Push to Google Calendar, Apple Calendar, Outlook, or download .ics.

Computer Science at NMSU — FAQ

Does Classmaite work for Computer Science courses at NMSU?

Yes. Classmaite reads any standard syllabus PDF used in New Mexico State University courses and extracts assignments, exam dates, the grading breakdown, and reading deadlines. Computer Science syllabi lean on project deadlines and psets, and every one of those dates lands on your calendar.

Do I need Canvas access for this to work?

No. Classmaite works straight from the syllabus your professor hands out — no Canvas login required. That also means it catches deadlines professors never enter into Canvas.

When should I set this up?

The first week of the semester. NMSU’s fall semester typically starts in mid-August, and mapping every syllabus in week one — before anything is due — is the highest-leverage hour of the term.

How much does it cost?

You can parse one syllabus free with no account at all. For the full app, Pro is free for 24 hours — a card starts the trial — then $9/mo for unlimited syllabi and full calendar sync, cancellable in one click.

Rather do it yourself? Here's how to add your syllabus to Google Calendar by hand or with a CSV import.