Duke’s Computer Science BS launches students into advanced work on distributed systems, machine learning, cybersecurity, and computational biology. Project-based courses deploy Kubernetes clusters, craft deep-reinforcement-learning agents, and audit smart-contract vulnerabilities. Research labs offer access to Duke’s AI for Good initiative, where undergraduates help develop neural-translation models for low-resource languages and privacy-preserving medical analytics. Career-ready graduates power Fortune 500 tech, social-impact startups, and top PhD programs.
Federated-learning pipeline for rural health-clinic diagnostics
Quantum-safe cryptography toolkit for IoT devices
Graph neural network predicting protein–protein interactions
Real-time phishing detection browser extension
Explainable AI dashboard for school-district budget decisions
Edge-computing platform optimizing energy use in smart homes
Deep-fake voice detection model using spectrogram analysis
Open-source compiler for domain-specific language in genomics
Blockchain-based voting system with zero-knowledge proofs
Multiplayer online game benchmarking network latency research
Reinforcement-learning rover navigating Duke’s campus autonomously
Automatic grading tool for introductory CS using AST similarity
Computer-vision app for sign-language translation on mobile
Cloud-native serverless pipeline for global wildfire satellite data
Bias audit framework for large language models in hiring
Augmented-reality IDE overlaying code metrics in real time
Cyber-range simulation for blue-team/ red-team training
Differential-privacy library for civic-open-data portals
Generative adversarial model compressing high-resolution microscopy images
Interactive textbook on algorithms with gamified proofs
Solve complex problems with cutting-edge computing in Duke’s CS powerhouse.
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