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Skills

Design and Analyse Algorithms (Part 1)

10 weeks · 2 milestones

Algorithms: Design and Analysis, Part 1 (Stanford on edX (free videos also at algorithmsilluminated.org)), then one project of your own. Part of the Varsity Curriculum: Computer Science.

Milestone map

Milestone map

2 milestones

Do the course work in public

4–8 weeks (4–8 hrs/week)

Take Algorithms: Design and Analysis, Part 1 for free and do the programming problems: sorting, divide and conquer, graph search, shortest paths. Keep everything in one public repo or notebook as you go. Certificates cost money. Audit is free; you never need the certificate here.

Proof required

Link your public repo or notebook with the programming problems: sorting, divide and conquer, graph search, shortest paths, and a screenshot or log showing the self-check passed.

What gets checked

  • Each implementation passes the test cases.
  • Running time is stated and matches the code.
  • Code is yours (history, comments).

Common mistakes

  • Copying posted answers: verifiers read the history.
  • Skipping the self-check, then asking for review too early.

Powstik Guide

A public repo or notebook with the programming problems: sorting, divide and conquer, graph search, shortest paths.

Steps

  1. Make a public repo or notebook first.
  2. Do one unit at a time and commit after each.
  3. Run the self-check: Run your code on the book site's test cases before the big inputs.
  4. Write a short README: what is here and how to run it.
  5. Ask three people who know the topic to check it.

Template

README
Course: Algorithms: Design and Analysis, Part 1 (Stanford on edX (free videos also at algorithmsilluminated.org))
What is here:
How to run it:
Self-check result:
What was hardest:

What gets sent back

  • No history, just one big upload.
  • Self-check not shown.
  • Code that does not run from the README.

Resources

Foundationstart here

Depthgo deeper

What a verifier looks for

  • Each implementation passes the test cases.
  • Running time is stated and matches the code.
  • Code is yours (history, comments).
  • Ask one question about a choice in the code; the answer should be clear.

You'll sign in first, then come straight back here.

Use an algorithm on a real problem

1–3 weeks (5–8 hrs/week)

Use what you learned. Make a program that uses one of these algorithms on real data (route finding on a real map, ranking a real list) with timing results. Keep it small enough to finish in about two weeks.

Proof required

Link a program that uses one of these algorithms on real data (route finding on a real map, ranking a real list) with timing results, with a README that says how to run or read it.

What gets checked

  • It solves the stated problem.
  • Timings match the expected growth.
  • The data source is named.

Common mistakes

  • A project too big to finish.
  • A demo that only works on your machine.

Powstik Guide

A program that uses one of these algorithms on real data (route finding on a real map, ranking a real list) with timing results.

Steps

  1. Write one line: what it does and for whom.
  2. Build the smallest version that works.
  3. Test it on someone else's machine or with someone else reading it.
  4. Write the README.
  5. Ask three people to check it.

Template

README
What it does:
Who it is for:
How to run it:
What I would do next:

What gets sent back

  • Does not run from the README.
  • Not clearly the person's own work.
  • Claims more than it does.

Resources

Foundationstart here

Depthgo deeper

What a verifier looks for

  • It solves the stated problem.
  • Timings match the expected growth.
  • The data source is named.
  • Check that the work is the person's own.

You'll sign in first, then come straight back here.