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.
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- 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
Swap a List Scan for a Min-Heap in the Dispatcher
Working only from the materials provided, your job is to make the courier-selection logic faster and to show, with evidence, that it actually got faster. First, read the de-iden…
- Heap Data Structure
- Complexity Analysis
- Python
Open coursework - CodeFoundationalNew
Design and Verify a 7-Segment Roaster-Console Display Controller
Working only from the materials provided, build and verify the controller. Implement the controller per the signal definitions in the microcontroller interface specification (ic…
- Verilog
- Fpga
- Digital Logic
Open coursework 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
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 - 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
Classify Retail Product Photos for an E-Commerce Marketplace
Use a publicly-available product-image dataset (e.g., Fashion-MNIST extended, or a Kaggle e-commerce subset of around 10k images across 12 categories). Fine-tune a small pretrai…
- Image Classification
- Transfer Learning
- Pytorch
Open coursework - Browse challenges
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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.
- CodeFoundationalNew
Edge Detection Pipeline for a Manufacturing QA Camera
Use a small provided dataset of around 200 part images under 3 lighting conditions. Build a classical pipeline using OpenCV: grayscale + adaptive thresholding + Canny edge detec…
- Image Processing
- Edge Detection
- Opencv
Computer Vision (Undergraduate) - CodeFoundationalNew
Build a Simple Neural Network to Read Handwritten Postal Codes
You receive a labeled dataset of about 60,000 handwritten digit images (28x28 grayscale) drawn from Indian postal forms. Build two models from scratch in PyTorch: (1) a 2-layer …
- Neural Networks
- Convolutional Neural Networks
- Pytorch
Open coursework - CodeFoundationalNew
Tune a Pick-and-Place Controller for a Cosmetics Co-Packer
You receive 4 hours of logged trajectories from the existing controller (joint positions, target poses, miss/success labels) and read/write access to the controller config (YAML…
- Motion Control
- Trajectory Tuning
- Robot Kinematics
Open coursework - 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 Build a verifiable portfolio.
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- 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 - 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 - CodeFoundationalNew
Optimizing Inventory for a Barcelona D2C Cosmetics Brand
You are given a CSV file with 6 months of daily sales data for 20 SKUs, including product name, date, units sold, and current stock level. Your task is to write a Python program…
- Python
- Data Cleaning
- Data Analysis
Open coursework - 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
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