Computer Sciences Challenges
Explore computer science challenges on Ewance to equip yourself with job-relevant skills for a variety of roles. Learn programming techniques and build technical skills with challenges on software development, algorithm design, system architecture, and more.
Most Popular
- CodeFoundationalNew
Optimize a Slow Search Function for a Recipe Marketplace
Receive the current Python function (nested loop over (recipe_title, ingredient_list) pairs), the 400k-row dataset (CSV), and 20 representative queries. Step 1: write up the cur…
- Algorithm Analysis
- Big O
- Functions & Data Structures
Algorithm Design and Analysis - CodeFoundationalNew
Parallelize an Image-Processing Pipeline with Data Parallelism
Receive the current pipeline (Python 3.12, ~600 lines, uses Pillow + ffmpeg), a representative batch (1,000 images averaging 3MB each), and host specs (16 cores, 32GB RAM). Rewr…
- Data Parallelism
- Python Or Javascript
- Multiprocessing
Concurrent and Parallel Programming - CodeFoundationalNew
Rule-Based Intent Classifier for a Customer-Support Triage Bot
Build a rule-based classifier in Python that runs ordered rules (regex + keyword + simple heuristics) against ticket subject + body. Use a hierarchical rule structure (high-prec…
- Knowledge Representation
- Rule Based Systems
- Python Or Javascript
Introduction to Artificial Intelligence (CS Elective) - ResearchFoundationalNew
Requirements Discovery for a Restaurant Inventory App
Conduct 5 semi-structured interviews (45 minutes each) across line cook, kitchen manager, bar manager, store manager, and group operations. Synthesize findings into 5 user perso…
- Requirements Engineering
- User Interviews
- Use Case Modeling
Software Engineering Foundations Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- CodeFoundationalNew
Build a Best-First Search Solver for a Delivery Startup's Test Lab
Build a Python module exposing uniform-cost search and A-star search on a 2D grid with weighted cells (open road, traffic, no-go). Implement two admissible heuristics for A-star…
- Search Algorithms
- Heuristic Design
- Python Or Javascript
Introduction to Artificial Intelligence - CodeFoundationalNew
Python Data Pipeline for Spotify Listening Trends
Write a Python script (or Jupyter notebook) that reads the provided CSV files (4 weeks of Spotify Top 200 data), cleans inconsistencies (missing artists, duplicate entries, enco…
- Object Oriented Programming
- Data Analytics
- Statistics
Open coursework - DesignFoundationalNew
Smart Street Lighting for Sustainable City District
Your task is to design a smart street lighting system for a 10-block area in Freiburg's city center. Use PIR motion sensors and ambient light sensors to detect pedestrians and v…
- Iot Architecture
- Sensor Integration
- Mesh Networks
Internet of Things and Smart Systems - DesignFoundationalNew
Building an Internal Communication Strategy for a Remote Renewable Energy Firm
Your task is to create a comprehensive internal communication strategy for remote teams. Deliverables include: a communication charter (principles and channels), a monthly all-h…
- Internal Communication
- Remote Team Management
- Leadership Communication
Leadership Communication - Browse challenges
Explore role
Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- AnalysisFoundationalNew
Production Optimization for a Sustainable Fashion Brand
You are a production analyst for EcoThreads. Given two suppliers (local and overseas) with different cost functions and carbon footprints, determine the optimal mix of productio…
- Cost Minimization
- Isoquant Isocost
- Carbon Footprint
Microeconomics - AnalysisFoundationalNew
Production Planning for a Sustainable Fashion Brand
Your task is to build a linear program that decides weekly production quantities for each product line. Constraints include labor hours (max 400 hrs), machine hours (max 200 hrs…
- Linear Programming
- Optimization
- Microsoft Excel
Operations Research and Optimization
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
Hiring from this pool?
Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.