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FDMUN V

Sponsored · by FDMUN

Recurring

The All-Star Program

A 6-week summer training program across three parallel tracks — competitive programming, web & mobile development, and AI — graduating students who are both contest-ready and portfolio-ready.

The All-Star Program runs three tracks in parallel over six weeks: ICPC, Web + Mobile Development, and AI. Students commit ~12 hours a week across live workshops and async project work. A Week 1 diagnostic tiers each student beginner or advanced, and every week ends with a rubric checkpoint. The program closes with a capstone — a mock ICPC contest and a project demo day — and awards Completion and Distinction certificates.

Summer 2026

Applications open

The inaugural All-Star Program cohort.

Runs Aug 17 – Sep 27, 2026 6 weeks 25 seats
Applications are closed

Tracks

ICPC

~4 hrs/wk · Areeba Kalwar

Competitive programming toward ICPC readiness — auto-graded on Codeforces Gym, tiered problem sets, ending in a timed mock contest.

  1. 1 Diagnostics & Foundations Diagnostic results → beginner/advanced tiering
  2. 2 Sorting, Searching & Greedy ICPC problem set #1 (tiered)
  3. 3 Dynamic Programming ICPC DP problem set (tiered)
  4. 4 Graphs & Trees ICPC problem set (tiered)
  5. 5 Advanced Topics & Contest Simulation ICPC timed practice results
  6. 6 Capstone — Mock ICPC Contest Contest results + certificate tier decision

Web + Mobile

~4 hrs/wk · Shahmir Sindhu

Full-stack web and mobile development — from fundamentals to a deployed, demo-ready project. (Mobile framework: React Native vs Flutter — TBD before Week 3.)

  1. 1 Diagnostics & Foundations Diagnostic results → beginner/advanced tiering
  2. 2 Frontend Framework Web UI checkpoint
  3. 3 Mobile Fundamentals Mobile app skeleton
  4. 4 Backend & APIs Working API integration (web/mobile)
  5. 5 Auth, Database & Deploy Web + mobile projects deployed
  6. 6 Capstone Showcase Portfolio showcase + certificate tier decision

AI

~4 hrs/wk · Muhammad Ahmed

Development-first AI — build with AI, don't derive it. APIs, prompting, embeddings, RAG, and deploying a real AI feature. No math-first ML.

  1. 1 Setup & First API Call (Diagnostics) Working API-call script + quiz → tiering into beginner/advanced
  2. 2 Prompt Engineering & Pretrained Models Mini-lab #1 (tiered)
  3. 3 Embeddings & RAG Lab #2 (tiered)
  4. 4 Applied Project Kickoff — AI Features Approved project scope + running skeleton
  5. 5 Ship It — Polish, Deploy, Evaluate Deployed, documented, demo-ready project
  6. 6 Capstone Showcase Portfolio-ready project + certificate tier decision
FDMUN V

Sponsored · By FDMUN

FDMUN V

Sponsored · By FDMUN

FDMUN V

Sponsored · By FDMUN