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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CodeIntermediateNewDrift-Detect and Self-Heal a Multi-Tenant Kubernetes Estate
Using the estate-case-file and the baseline-policy-spec, design a drift-detection and self-heal rollout for all 28 single-customer clusters built on ArgoCD continuous-sync (auto…
- Argocd
- Kyverno
- Drift Detection
Open coursework- CodeIntermediateNew
Parallelize a CFD Solver with MPI Across 256 Cores
Profile the serial solver to identify the hot loops (likely: pressure-Poisson solve, advection step, BC update). Decompose the domain via 2D block-structured partitioning. Imple…
- Mpi
- Cpp Programming
- Domain Decomposition
Open coursework - CodeIntermediateNew
Port a Monte Carlo Engine to CUDA for an Asset Manager
Profile the CPU MC engine to identify the kernel candidates: path generation (Brownian motion + correlated factors), payoff evaluation, aggregation. Port to CUDA: use cuRAND for…
- Cuda
- Monte Carlo
- Gpu Programming
Open coursework - DesignIntermediateNew
Design Parallel I/O for a Climate-Simulation Data Pipeline
Analyze the current I/O pattern: each MPI rank writes its own file via serial HDF5 (the classic anti-pattern). Design a single shared file using parallel HDF5 + MPI-IO with coll…
- Mpi Io
- Parallel Hdf5
- Lustre Filesystem
High-Performance and Scientific Computing Develop in-demand professional skills.
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Why Ewance
- AnalysisIntermediateNew
Build a Performance Model for a Molecular-Dynamics Job
Build an analytical performance model covering: compute time per step (function of atom count + cutoff + interaction type), inter-rank communication cost (function of decomposit…
- Performance Modeling
- Gromacs
- Benchmark Design
Open coursework - DesignIntermediateNew
Design a Voice-First Picking Model for a Warehouse Tablet App
Using the partner-warehouse case file and the touch-app interaction inventory, map the current picking workflow and select the eight highest-frequency interactions to move to vo…
- Interaction Design
- Voice Ui Design
- Contextual Inquiry
Open coursework - DesignSeniorNew
Redesign the Daily-Engagement Loop for a Smoking-Cessation App
Using the product case file, audit the current daily-engagement loop screen by screen and map each screen to specific behavior-change techniques from the published taxonomy, nam…
- Behavior Change Design
- Hci Research Methods
- Interaction Design
Open coursework - CodeIntermediateNew
Port a Legacy C Image Pipeline from x86 to ARM64
Clone the 12k-line C codebase (provided). Set up an ARM64 cross-compile toolchain (clang or gcc). Identify portability issues: endianness assumptions, pointer-size casts, inline…
- C Programming
- Manual Memory Management
- Pointers
Imperative and Low-Level Programming - Browse challenges
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Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- CodeSeniorNew
Diagnose Heap Corruption in a Trading Firm's Order Gateway
Working only from the materials in this case file, reconstruct what is corrupting the heap. Read the representative order-pool allocator module (item: gateway-allocator-module) …
- Cpp Programming
- Manual Memory Management
- Pointers
Open coursework - CodeIntermediateNew
Write a Linux Device Driver for a Custom Sensor Board
Read the SPI sensor datasheet (provided) and the existing user-space hack (around 600 lines of C). Write a Linux kernel module (target kernel 6.6 LTS) that registers a hwmon dev…
- C Programming
- Os Interfaces
- Kernel Development
Imperative and Low-Level Programming - CodeBeginnerNew
Case File: Smart-Pointer Refactor of a Game-Engine Module
Work only from the four supplied items: the representative entity-component-system module slice, the before-refactor heaptrack leak readout, the de-identified incident log, and …
- Cpp Programming
- Manual Memory Management
- Pointers
Open coursework - CodeSeniorNew
Design an In-House Bare-Metal Bootloader for a Smartwatch Prototype
Working only from the provided materials, design and implement a bare-metal C bootloader for the Cortex-M4 target with no operating system, a custom linker script, and vector-ta…
- C Programming
- Manual Memory Management
- Pointers
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- AnalysisIntermediateNew
Build a Risk Register for a Cross-Border Healthcare Provider
Run 8 structured interviews (CISO, IT director, clinical-systems lead, DPO, 4 clinic managers) to surface the top risk candidates. Map each risk against NIST SP 800-30 (threat s…
- Risk Management
- NIST Sp 800 30
- Security Governance
Open coursework - AnalysisIntermediateNew
Clear a Fortune-100 Privacy Review for an HR-Tech Vendor
Using the product fact-sheet, the stakeholder interview notes, the buyer's 14-concern brief, and the official texts of the General Data Protection Regulation and the EU Artifici…
- Compliance
- Privacy Regulation
- GDPR
Open coursework - ResearchIntermediateNew
Run a Go/No-Go Discovery Sprint for a Research Spin-Off
Using the founder brief, recruit 18 backend developers (6 each from fintech, business-to-business software, and developer tools) by screening the candidate pool against the qual…
- Opportunity Identification
- Customer Discovery
- Venture Building
Open coursework
CodeBeginnerNewBuild a Search-Based Delivery Router for a Madrid Grocery Startup
Build a Python service that exposes a single /route endpoint. It accepts a courier's starting location, a list of delivery stops, and a traffic window, and returns the stops in …
- Search Algorithms
- Intelligent Agents
- Python Programming
Open coursework
CodeBeginnerNewKnowledge-Graph Recommender for a Lisbon Bookstore
Using the catalog sample (catalog_sample), build a knowledge graph whose nodes are books, authors, genres, themes, eras, and awards, and whose edges capture relationships such a…
- Knowledge Representation
- Knowledge Graphs
- Python Programming
Open coursework- CodeIntermediateNew
Automated Planner for a Field-Service Maintenance Schedule
Model the scheduling problem as either PDDL (Planning Domain Definition Language) or a constraint-satisfaction problem using a solver like OR-Tools. Define: actions (visit_site,…
- Planning
- Constraint Satisfaction
- Python Programming
Introduction to Artificial Intelligence (CS Elective) - 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)
CodeBeginnerNewBuild a Pricing-Aware Scheduling Agent for Smart Thermostats
Using only the materials provided, build an intelligent agent with four working parts: perception (read the sensor history), learning (cluster each household's comfort intervals…
- Intelligent Agents
- Basic Learning
- Python Programming
Open coursework- CodeBeginnerNew
Churn-Prediction Model for a B2B Vertical SaaS
Use 18 months of anonymized data (provided) covering: usage events, login frequency, support tickets, NPS responses, billing health, feature adoption, practice firmographics. De…
- Supervised Learning
- Python Programming
- Ml Applications
Machine Learning (CS Elective) - CodeBeginnerNew
Image-Classification Model for a Quality-Control Line at a Bottling Plant
Train an image classifier on 8,000 labeled bottle images (3 defect classes + 'ok'). Use transfer learning from a pre-trained backbone (EfficientNet-B0 or MobileNetV3) — the line…
- Deep Learning
- Supervised Learning
- Ml Applications
Machine Learning (CS Elective) - AnalysisBeginnerNew
Customer-Segmentation Study for a DTC Subscription Box
Use 18 months of anonymized data: order history, churn events, NPS responses, box-rating data, referral activity, marketing-channel attribution. Engineer features (RFM-style + b…
- Unsupervised Learning
- Python Programming
- Ml Applications
Machine Learning (CS Elective) - CodeIntermediateNew
Forecasting Model for Online-Game Daily Active Users
Build forecasts at 14-day horizon per region using: (1) classical baseline — SARIMA or Prophet; (2) ML approach — gradient-boosted regressor on engineered features (day-of-week,…
- Supervised Learning
- Time Series Forecasting
- Python Programming
Machine Learning (CS Elective)
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