The primary objective of this course is to introduce you to broad classes of techniques and tools for analyzing text data using Natural Language Processing (NLP) algorithms and techniques. It emphasizes on how to apply pre-processing, processing, and post processing NLP techniques to analyze and develop NLP models.

Special Topics: Applied Natural Language Processing

The goal of this course is to provide students in CS and ECE with the fundamental background on quantum computing and equip them with the skills to write code and optimize quantum programs on real quantum computers.

Special Topics: Quantum Computing

Quantum Computing: A Gentle Introduction

Seminar: Computational Sociology Seminar

Special Topics: Digital Public Policy

Topics include lexical analysis, parsing, interpretation of sentences, semantic representation, organization of knowledge, inference mechanisms. Newer approaches combining statistical language processing and information retrieval techniques.

Natural Language Processing

Seminar: CS Educators Seminar

This course provides an introduction to cyber-physical infrastructure for protection and control of electric energy systems, communication protocols, standardization and practices for cyber security.

Cyber-Physical Security in Electric Energy Systems

Seminar: Women in Tech Seminar

Seminar: Computing in Python Seminar

In what we believe to be the first of its kind in a computer law course, students will analyze third-party commercial-grade code as a technical expert (witness) might do to support a litigation.

Special Topics: Introduction to Computer Law

Special Topics: Geopolitics of Cybersecurity

This course will provide you with real-world, hands-on learning on what it’s like to create a startup. You will learn the language and values of entrepreneurship, and then work to hone your entrepreneurial skills.

Special Topics: Global Entrepreneurship

Talking to Humans: Success Starts with Understanding your Customers

Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers

Value Proposition Design: How to Create Products and Services Customers Want

A broad spectrum of information security: threats, basic cryptography, software vulnerabilities, programming for malice, operating system protections, network security, privacy, data mining, computer crime.

Introduction to Information Security

Open Source Course Textbook

Computer Security: Principles and Practice, 4th Edition

Applied Information Security: A Hands-on Approach

Exploring challenges faced by underserved populations and developing countries from a computing perspective.

Computing for Good

Geek Heresy: Rescuing Social Change from the Cult of Technology

This course teaches operating system abstractions, mechanisms, and their implementations, including for concurrency (threads) and synchronization, resource management (CPU, memory, I/O), and distributed services.

Graduate Introduction to Operating Systems

Operating System Concepts, 9th Edition

Operating System Concepts Essentials, 2nd Edition

Modern Operating Systems, 4th Edition

Operating Systems: Three Easy Pieces

Introduction to graduate-level topics in operating systems using research papers, textbook excerpts, and projects. Provides students thorough comprehension of distributed and parallel computer systems.

Advanced Operating Systems

Design principles of secure systems, authentication, access control and authorization, discretionary and mandatory security policies, secure kernel design, and secure databases.

Secure Computer Systems

Principles and practice of computer networks, including signaling and framing, error control, medium access, routing, congestion control, end-to-end transport, and network APIs.

Computer Networks

Computer Networking: A Top-Down Approach, 7th Edition

Cryptographic algorithms, cryptanalysis, symmetric cryptography, public key cryptography, DES, AES, RSA, hash and MAC functions, digital signatures, pseudo-random generators, cryptographic protocols, SSL//TLS, SET.

Applied Cryptography

Introduction to Modern Cryptography

A Graduate Course in Applied Cryptography

Cryptography: An Introduction

Introduction to Modern Cryptography: Principles and Protocols

Design principles of secure network protocols and systems, authentication, integrity, confidentiality, privacy, information hiding, digital watermarking, access control, firewall, intrusion detection, and case studies.

Network Security

This course provides an introduction to security issues relating to various cyber-physical systems including industrial control systems and those considered critical infrastructure systems.

Introduction to Cyber-Physical Systems Security

Industrial Network Security: Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems, 2nd Edition

Applied Cyber Security and the Smart Grid: Implementing Security Controls into the Modern Power Infrastructure, 1st Edition

This course will help students develop both in-depth knowledge and hands-on skills in a number of important cybersecurity areas, including software security, malware and threat analysis, end-point security, network security, web security, mobile security, and machine learning based security analytics.

Information Security Lab: System and Network Defenses

This course covers advanced techniques for writing exploits, taught through an intense, hands-on security laboratory, following a cyberspace war game called Capture-The-Flag.

Information Security Lab: Binary Exploitation

The Shellcoder's Handbook: Discovering and Exploiting Security Holes, 2nd Edition

The Web Application Hacker's Handbook: Finding and Exploiting Security Flaws, 2nd Edition

Topics concerning very high-performance computers including techniques exploiting parallelism in single and multiple processor systems.

High-Performance Computer Architecture

Computer Architecture: A Quantitative Approach, 5th Edition

First, this course introduces the student to embedded domain-specific processor and instruction set design issues. Next, machine-specific optimizations for performance and for energy consumption are discussed.

Embedded Systems Optimization

Embedded Computing: A VLIW Approach to Architecture, Compilers and Tools, 1st Edition

Compilers: Principles, Techniques, and Tools, 2nd Edition

The process of developing software systems. Includes development and assessment of processes, their instantiation in actual product development, and techniques ensuring quality of developed products.

Software Development Process

This project-based course will cover fundamental principles, advanced techniques, and tools for the development of high-quality, industrial-strength software.

Software Architecture and Design

Fundamental prinicples and advanced techniques for static and dynamic program analysis and software testing. Software reliability, resilience, and trustworthiness.

Advanced Topics in Software Analysis and Testing

RightingCode

Study of fundamental concepts with regard to relational databases. Topics covered include database design, query processing, concurrency control, and recovery.

Database Systems Concepts and Design

Fundamentals of Database Systems, 7th Edition

A broad review of the US health system and the application of informatics to the clinical practice of medicine, digital imaging, public health and bioinformatics.

Introduction to Health Informatics

Contemporary Health Informatics

Techniques for electronic game design and programming, including graphics, game engines, animation, behavioral control for autonomous characters, interaction, social and interface issues of multi-user play.

Video Game Design and Programming

Game Design Workshop: A Playcentric Approach to Creating Innovative Games, Fourth Edition

Game Feel: A Game Designer's Guide to Virtual Sensation, 1st Edition

Introduction to educational technology, with an emphasis on theoretical foundations. Introduces basic philosophies, approaches, and technologies. Analyzes issues surrounding technology's impact on education.

Educational Technology: Conceptual Foundations

Technology is rapidly affecting how news information is gathered, reported, visualized, aggregated, summarized, distributed, and consumed. This class studies the computational technologies that impact journalism.

Computational Journalism

This class explores the impact of computation on the entire workflow of photography, from how light is captured by a camera, to how the images are processed, enhanced, and improved to generate novel photographs.

Computational Photography

Computer Vision: Algorithms and Applications

Computer Vision: A Modern Approach

Optics, 5th Edition

Photography, 12th Edition

The Scientist and Engineer's Guide to Digital Signal Processing

How Digital Photography Works, 2nd Edition

Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding.

Introduction to Computer Vision

Computer Vision: Algorithms and Applications, 2nd Edition

Computer Vision: A Modern Approach, 2nd Edition

Design and analysis of algorithms on a graduate level, including dynamic programming, divide and conquer, FFT, graph and flow algorithms, RSA, linear programming, and NP-completedness.

Introduction to Graduate Algorithms

Algorithms, 1st Edition

Algorithm Design, 1st Edition

Basic concepts and methods of artificial intelligence including both symbolic/conceptual and numerical/probabilistic techniques.

Artificial Intelligence

Artificial Intelligence: A Modern Approach, 4th Edition

This course covers various Artificial Intelligence and bias mitigation techniques that can be used to counterbalance the potential misuse and abuse of learning from data.

AI, Ethics, and Society

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Survey of basic Internet computing concepts and techniques used in Internet systems and applications, combined with in-depth study of fundamental principles underlying Internet computing.

Advanced Internet Computing Systems and Applications

Building Secure and Reliable Network Applications

Understanding Search Engines: Mathematical Modeling and Text Retrieval

Modern Information Retrieval, 1st Edition

The Developer's Guide to the Java(TM) Web Server(TM): Building Effective and Scalable Server-Side Applications, 1st Edition

Web Server Technology, 1st Edition

Web Proxy Servers (Web Infrastructure Series), 1st Edition

The Grid: Blueprint for a New Computing Infrastructure, 1st Edition 

Capstone independent study project placing each student in a commercial, academic or government setting where he or she identifies a major cyber security problem, and explores and evaluates a solution that addresses it with realistic assumptions about the organizational context. The chose problem must be approved by course instructor.

Cyber Security Practicum

This course covers advanced approaches for the analysis of malicious software and explores recent research and unsolved problems in software protection and forensics.

Advanced Topics in Malware Analysis

Practical Malware Analysis: The Hands-On Guide to Dissecting Malicious Software, 1st Edition

The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory, 1st Edition

Computer Systems: A Programmer's Perspective, 3rd Edition

Describes the characteristics of interaction between humans and computers and demonstrates techniques for the evaluation of user-centered systems.

Human-Computer Interaction

Multidisciplinary perspectives on cognitive science. Interdisciplinary approaches to issues in cognition, including memory, language, problem solving, learning, perception, and action.

Introduction to Cognitive Science

Mind: Introduction to Cognitive Science, 2nd Edition

Fundamental concepts in distributed systems, including global states, logical clocks, and failure models. Distributed algorithms and their implementations using advanced distributed programming systems.

Distributed Computing

Distributed Systems for Fun and Profit

Distributed Systems, 3rd Edition

Characteristics of real networks in nature and technology, network measurement methods, network analysis, evolving networks, dynamic network processes, co-evolution of structure and function.

Network Science: Methods and Applications

Investigates the infrastructure required to develop mobile and ubiquitous computing applications and establishes major research themes and experimental practices.

Mobile and Ubiquitous Computing

Ubiquitous Computing Fundamentals, 1st Edition

An exploration of how artificial intelligence is used in modern digital computer games.

Game Artificial Intelligence

AI for Games, 3rd Edition

Structured knowledge representation; knowledge-based methods of reasoning and learning; problem-solving, modeling and design.

Knowledge-Based AI

AI techniques with applications to autonomous vehicles. Extensive programming exercises. Topics include probabilistic inference, Kalman/particle filters, planning/search algorithms, PID control, SLAM.

Artificial Intelligence Techniques for Robotics

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series), 1st Edition

Cyber Physical Systems (CPS), including examples. Design methods. Formalisms: Different equations, finite-state machines. Analysis. Formal methods. Design processes, Model-Based Systems Engineering, Reference documents and regulations.

Cyber Physical Design and Analysis

Machine learning techniques and applications. Topics include foundational issues; inductive, analytical, numerical, and theoretical approaches; and real-world applications.

Machine Learning

Machine Learning, 1st Edition

Efficient algorithms for multiagent planning, and approaches to learning near-optimal decisions using possibly partially observable Markov decision processes; stochastic and repeated games; and reinforcement learning.

Reinforcement Learning and Decision Making

Reinforcement Learning: An Introduction, 2nd Edition

This course will cover theory and practice of deep learning, including neural network and structured models, optimization algorithms, and applications to perception and Artificial Intelligence.

Deep Learning

Introduces machine learning based trading strategies. Topics: Information processing, probabilistic analysis, portfolio construction, generation of market orders, KNN, random forests.

Machine Learning for Trading

Python for Finance: Mastering Data-Driven Finance, 2nd Edition

What Hedge Funds Really Do: An Introduction to Portfolio Management

The objective of this course is to learn the theory and practice behind building automatic translators (compilers) for higher level programming languages and to engineer and build key phases of a compiler in Java or C++ for a small language.

Special Topics: Compilers - Theory and Practice

Engineering: A Compiler, 2nd Edition

This is a hands on project-intensive immersive course aimed at senior-level undergraduates and graduate students to give them an in-depth experience in developing different layers of a cloud computing infrastructure including software defined networks, distributed runtime systems, network function virtualization, and application development.

Special Topics: Systems Issues in Cloud Computing

Security Operations and Incidence Response

Computational techniques needed for data analysis; programming, accessing databases, multidimensional arrays, basic numerical computing, and visualization; hands-on applications and case studies.

Computing for Data Analysis: Methods and Tools

This course will introduce students to the design, analysis, and implementation of high performance computational science and engineering applications.

High Performance Computing

Introduction to Parallel Computing, 2nd Edition

The course introduces students to analysis and visualization of complex high dimensional data. Both theory and applications will be covered including several practical case studies.

Data and Visual Analytics

Big data systems, scalable machine learning algorithms, health analytic applications, electronic health records.

Big Data Analytics for Healthcare

Focuses on the creation and use of modeling and simulation tools to analyze and train students regarding strategic events in international relations.

Modeling, Simulation and Military Gaming

An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo

Engineering Principles of Combat Modeling and Distributed Simulation

Simulating War: Studying Conflict through Simulation Games

Military Power: Explaining Victory and Defeat in Modern Battle

The Face of Battle: A Study of Agincourt, Waterloo, and the Somme

This course provides an introduction to cyber-physical infrastructure for electric power systems, the protection, control and operation of electrical facilities, communication protocols and standardization and present practices for cybersecurity.

Introduction to Cyber-Physical Electric Energy Systems

The primary objective of this course is to provide an in-depth treatment of digital and analog side-channels and their use for attacks and defenses in cyber security.

Side Channels and their Role in Cybersecurity

Examines traditional and nontraditional issues in international security, including the uses of military force, military strategy and policy, arms control, peacekeeping, the environment, and migration.

International Security

Explores use of big data techniques to problems at the national and international levels. Topics may include cybersecurity, surveillance, economic development, behavioral prediction and manipulation.

Data Analytics and Security

Basic forecasting methods, ARIMA models, transfer functions.

Time Series Analysis

Introduction to Time Series and Forecasting

Time Series Analysis and Its Applications: With R Examples

Analysis Of Financial Time Series, 2nd Ed

Simple and multiple linear regression, inferences and diagnostics, stepwise regression and model selection, advanced regression methods, basic design and analysis of experiments, factorial analysis.

Statistical Modeling and Regression Analysis

This class describes the available knowledge regarding statistical computing. Topics include random deviates generation, importance sampling, Monte Carlo Markov chain (MCMC), EM algorithms, bootstrapping, model selection criteria, (e.g. C-p, AIC, etc.) splines, wavelets, and Fourier transform.