Computer Science
Programming Fundamentals Challenges
Programming Fundamentals challenges put you inside the work of writing code that is correct, readable and fast. You'll build core skills in functions & data structures, object-oriented design and design patterns, work in Python or JavaScript, and learn to do code reading and refactoring the way teams expect.
From there you'll tackle the harder edges — algorithm analysis, complexity analysis, graph algorithms and generics & type systems — pushing into performance engineering, low-latency programming patterns and systems-language proficiency (Go, Rust, C++). Each challenge you solve earns a verified credential you can share with recruiters.
- CodeIntermediateNew
Dynamic Programming for an IoT Battery Allocator
Read the device spec (32 KB RAM, 200 mAh daily budget, 9 sensing modes with mAh cost and farmer-value scores) and formulate the daily allocation as a 0/1 knapsack DP (dynamic pr…
- Dynamic Programming
- Algorithm Analysis
- C Programming
Algorithm Design and Analysis - CodeIntermediateNew
FFT-Based Acoustic Beamforming on Streaming Microphone Arrays
Implement overlap-add streaming FFT (FFTW or KissFFT) processing 64 channels × 1024-sample frames with 50 percent overlap. Apply delay-and-sum beamforming across a 2D direction-…
- Fft
- Signal Processing
- Beamforming
Scientific Computing and Numerical Methods - CodeIntermediateNew
Edge-Inference Pipeline for a Smart-Factory Vibration Monitor
Architect a pipeline that runs on an ESP32-S3 + STM32 combo (provided): (1) sample 3-axis accelerometer at 3.2 kHz, (2) compute windowed FFT features on-device every 1s, (3) run…
- Edge Computing
- Embedded Systems
- Sensors And Actuators
Internet of Things and Cyber-Physical Systems - DesignSeniorNew
OTA Firmware-Update Architecture for a 50,000-Device Smart-Meter Fleet
Design a 4-stage OTA architecture: (1) signed image build + manifest, (2) backend rollout (1 percent canary, 10 percent expand, 50 percent expand, 100 percent), (3) device-side …
- Embedded Systems
- Cyber Physical Systems
- Edge Computing
Internet of Things and Cyber-Physical Systems 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
- CodeSeniorNew
Build a Bare-Metal Bootloader for a Wearable-Device Prototype
Write a bare-metal C bootloader for the Cortex-M4 target (no operating system, custom linker script, vector-table relocation). Implement: SHA-256 image validation (use a public-…
- C Programming
- Manual Memory Management
- Pointers
Imperative and Low-Level Programming - AnalysisBeginnerNew
Instruction Set Analysis for an Embedded Workload
Compile all 12 workload programs to both ISAs using the appropriate cross-compiler (GCC with -march=rv32e for RISC-V; provided proprietary toolchain for the in-house ISA). Repor…
- Instruction Sets
- Code Density
- Embedded Systems
Computer Architecture - DesignIntermediateNew
Wireless Sensor-Network Design for a Vineyard Microclimate Study
Spec the network: 60 LoRaWAN sensor nodes + 2 gateways (TheThingsStack indoor + outdoor gateway choice), star topology with possible relays. Node hardware: ESP32 + LoRa + sensor…
- Sensor Networks
- Embedded Systems
- Lorawan
Internet of Things and Cyber-Physical Systems
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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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.