This is a hands-on introductory security course for upper-level undergraduate students and graduate students. Students will learn the basics of cryptography and methods for protecting systems from attack. We will cover malicious software and other attacks that occur over the network, as well as the perimeter defenses used to stop these attacks. Students will then learn about program vulnerabilities that lead to most of the security problems in computing today. We will conclude with the other administrative issues that security professionals must consider in their jobs.

This course is an introductory course on the fundamentals of 3D game development. We will focus on the Unity game engine and object-oriented programming with C#. Students will learn various topics including vectors and rotations, character animation, artificial intelligence, and Unity tools, such as Cinemachine, Shader Graph, and Timeline.

This course is designed for both graduate students and advanced undergraduate students interested in understanding of both the fundamental and advanced concepts, techniques, and technologies required for collecting, processing, and deriving insight into data. Data Science is an interdisciplinary set of topics that includes everything you need to create data driven answers and solutions to specific business, scientific, or sociological questions. Topics typically covered include an introduction to one or more data collection and management systems, e.g., SQL, web scraping, and various data repositories; exploratory and statistical data analysis, e.g., bootstrapping, measures of central tendency, hypothesis testing and machine learning techniques including linear regression and clustering; data and information visualization, e.g., plotting and interactive charts using various technologies; and presentation and communication of the results of these analyses. Students should be comfortable programming in Python and familiar with the fundamentals of algorithmic analysis and computer systems.

A comprehensive introduction to the mathematics and algorithms that drive today’s digital special effects, animation, and games. Designed as a hands-on course, students will gain experience in building 2D/3D interactive applications using OpenGL. Topics covered will include geometric transformations, projections, raster algorithms, 3D object models (surface and volume), visible surface algorithms, texture mapping, lighting/shading, ray-tracing, anti-aliasing, and compositing.

This course investigates computational methods to work with human language, analyzing its lexical, syntactic, and semantic aspects. Examples include document classification and clustering, syntactic parsing, information extraction, speech recognition, and machine translation. Theoretical and practical aspects of the latest techniques will be covered, including probabilistic modeling, neural networks, and deep learning.

Structure and organization of computer systems; instruction sets; arithmetic; data path and control design; memory hierarchy.