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
Diagnose and Rebuild a Slow Recipe Search at a Marketplace Startup
Work only from the three items in the provided materials: the current search function, a representative sample of the recipe catalog, and the fixed set of representative queries…
- Algorithm Analysis
- Big O
- Data Structures
Open coursework - CodeFoundationalNew
Parallelize an Image-Processing Pipeline with Data Parallelism
Your analysis task is to take the serial pipeline module and its configuration (provided as 'serial-pipeline-module'), run it against the representative image batch described in…
- Data Parallelism
- Python
- Multiprocessing
Open coursework - 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 Programming
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
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
Open coursework - 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
Optimize EcoThreads' Local vs. Overseas Cotton Sourcing
Working only from the EcoThreads sourcing file (the de-identified internal record) and the supplier cost-and-emissions dataset, find the combination of local and overseas shirt …
- Cost Minimization
- Isoquant Isocost
- Carbon Footprint
Open coursework - 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
- Excel
Operations Research and Optimization - AnalysisFoundationalNew
Investigate Price Sensitivity for GlowSydney's New Moisturizer
Working solo, begin by exploring the GlowSydney transaction history (provided as the dataset 'glowsydney-transactions') to summarize how prices and units sold are distributed, u…
- Descriptive Statistics
- Linear Regression
- Data Visualization
Open coursework
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.
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