Cornell University Course Descriptions

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CS—Computer Science
	• CS 4814 - Introduction to Computational Complexity
	• CS 4820 - Introduction to Analysis of Algorithms
	• CS 4830 - Introduction to Cryptography
	• CS 4850 - Mathematical Foundations for the Information Age
	• CS 4852 - Networks II: Market Design
	• CS 4860 - Applied Logic
	• CS 4990 - International Research Internship
	• CS 4997 - Practical Training in Computer Science
	• CS 4998 - Team Projects
	• CS 4999 - Independent Reading and Research
	• CS 5094 - [Introduction to Blockchains, Cryptocurrencies, and Smart Contracts]
	• CS 5110 - Programming Languages and Logics
	• CS 5112 - Algorithms and Data Structures for Applications
	• CS 5114 - Network Programming Languages
	• CS 5120 - Introduction to Compilers
	• CS 5121 - Practicum in Compilers
	• CS 5150 - Software Engineering
	• CS 5152 - [Open-Source Software Engineering]
	• CS 5154 - Software Testing
	• CS 5199 - Competition Programming and Problem Solving Seminar
	• CS 5220 - Applications of Parallel Computers
	• CS 5304 - Data Science in the Wild
	• CS 5306 - Crowdsourcing and Human Computation
	• CS 5320 - Introduction to Database Systems
	• CS 5321 - Practicum in Database Systems
	• CS 5356 - Building Startup Systems
	• CS 5412 - Cloud Computing
	• CS 5414 - Distributed Computing Principles
	• CS 5420 - Advanced Computer Architecture
	• CS 5424 - Developing and Designing Interactive Devices
	• CS 5430 - System Security
	• CS 5431 - Practicum in System Security
	• CS 5432 - Advanced System Security
	• CS 5433 - [Blockchains, Cryptocurrencies, and Smart Contracts]
	• CS 5435 - Security and Privacy Concepts in the Wild
	• CS 5436 - Privacy in the Digital Age
	• CS 5439 - [Practicum in Computer Security]
	• CS 5450 - [Networked and Distributed Systems]
	• CS 5620 - Introduction to Computer Graphics
	• CS 5621 - Computer Graphics Practicum
	• CS 5625 - Interactive Computer Graphics
	• CS 5650 - Virtual and Augmented Reality
	• CS 5660 - [Signal Processing]
	• CS 5670 - Introduction to Computer Vision
	• CS 5678 - Topics in Mixed Reality
	• CS 5682 - HCI and Design
	• CS 5726 - [Inference and Decision Making]
	• CS 5727 - Optimization Methods
	• CS 5740 - Natural Language Processing
	• CS 5750 - Foundations of Robotics
	• CS 5780 - Introduction to Machine Learning
	• CS 5781 - Machine Learning Engineering
	• CS 5785 - Applied Machine Learning
	• CS 5786 - Machine Learning for Data Science
	• CS 5787 - Deep Learning
	• CS 5789 - Introduction to Reinforcement Learning
	• CS 5830 - [Cryptography]
	• CS 5831 - [Security Protocols and Privacy]
	• CS 5846 - [Decision Theory I]
	• CS 5854 - Networks and Markets
	• CS 5998 - Master of Engineering Internship
	• CS 5999 - Master of Engineering Project
	• CS 6110 - Advanced Programming Languages
	• CS 6113 - [Language-Based Security]
	• CS 6114 - Network Programming Languages
	• CS 6115 - [Certified Software Systems]
	• CS 6117 - Category Theory for Computer Scientists
	• CS 6120 - Advanced Compilers
	• CS 6156 - Runtime Verification
	• CS 6180 - [Introduction to Constructive Type Theory]
	• CS 6210 - Matrix Computations
	• CS 6220 - Data-Sparse Matrix Computations
	• CS 6241 - Numerical Methods for Data Science
	• CS 6320 - Advanced Database Systems
	• CS 6360 - Educational Technology
	• CS 6410 - [Advanced Systems]
	• CS 6411 - Systems Principles
	• CS 6431 - [Security and Privacy Technologies]
	• CS 6432 - [Distributed Consensus and Blockchains]
	• CS 6450 - [Advanced Computer Networking]
	• CS 6465 - [Emerging Cloud Technologies and Systems Challenges]
	• CS 6466 - Cryptocurrencies and Smart Contracts
	• CS 6480 - Systems Software and Formal Methods
	• CS 6644 - [Recognizing and Modeling the World]
	• CS 6670 - [Computer Vision]
	• CS 6682 - Computation for Content Creation
	• CS 6700 - Advanced Artificial Intelligence
	• CS 6740 - Advanced Language Technologies
	• CS 6741 - Topics in Natural Language Processing and Machine Learning
	• CS 6742 - [Natural Language Processing and Social Interaction]
	• CS 6764 - [Reasoning about Knowledge]
	• CS 6766 - [Reasoning about Uncertainty]
	• CS 6772 - [Bayesian Machine Learning]
	• CS 6780 - Advanced Machine Learning
	• CS 6781 - Theoretical Foundations of Machine Learning
	• CS 6783 - [Machine Learning Theory]
	• CS 6784 - Advanced Topics in Machine Learning
	• CS 6785 - Deep Probabilistic and Generative Models
	• CS 6787 - Advanced Machine Learning Systems
	• CS 6788 - Advanced Topic Modeling

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