A rigorous study of the principles of computer programming with emphasis on problem solving methods which result in correct, well-structured programs. Other topics: an introduction to data representation, data types and control structures, functions, and structured data types.

A continuation of problem solving methods and algorithm development. Topics include data structures and their implementation, algorithm development and programming. The emphasis is on program development and style.

Introduces networking technology and information security practices. Topics include network models and protocols as well as information security fundamentals. The course includes hands-on lab activities where techniques and procedures are demonstrated and implemented.

A study of the ethical, social and legal impacts of computers and their applications. Specific attention will be paid to professional responsibility, issues of privacy, property rights, legal issues and real risks. Corequisite: CSCI 1301.

Overview of network security activities and techniques. Heavy use of information security tools will be demonstrated and practiced.

A study of logic circuits and computer organization. Topics include Boolean algebra representation and minimization, logic gates, the design and analysis of combinational and sequential circuits, and registers, ALU and data paths.

Emphasis placed on understanding the tools and devices used to secure a computer network (i.e. firewall, IDS, IPS). Course includes hands-on lab activities where techniques and procedures are displayed and tested.

A study of computer operating systems and related computer architecture topics. Topics include process management, scheduling, synchronization, deadlock, memory management, virtual memory, disk management, file systems, I/O and protection.

This course explores mobile and cellular technologies. Students will gain a solid understanding of the key principles of wireless and mobile networks including security impact and mitigation techniques.

A study of the fundamentals of assembly language programming concepts and techniques. Topics include the representation of instructions and data, the use of registers, the stack, and addressing techniques. In addition, translating high-level programming statements into well-structured assembly code is studied.

A study of the techniques for representation and manipulation of structured data within a digital computer. Programming assignments illustrating a variety of data structures.

Introduces malware analysis and reverse engineering techniques. Course provides in-depth coverage of the malware types, techniques, and capabilities. Popular diagnostic tools are used to analyze malware, observe malware in action, and to understand how the malware works.

This course explores microcontroller design, embedded systems, and programmable logic devices (FPGAs). Hardware reverse engineering is introduced. Industrial Control Systems are examined as an implementation of embedded systems. There is a lab component to the course.

Overview of information security forensics activities. Topics include digital forensics investigative basics and digital forensics examination criteria. Course includes hands-on lab activities where machine learning concepts will be applied, and students will learn the basics of digital forensics techniques and how machine learning could be used in the context of processing data.

A rigorous study of polynomial, exponential, logarithmic, and trigonometric functions, primarily intended to prepare science and mathematics majors for calculus.

An introduction to calculus including limits and continuity, derivatives of polynomial, rational, trigonometric, inverse trigonometric, exponential, and logarithmic functions, applications of derivatives, and basic integration.

A continuation of calculus including applications of integration, techniques of integration, improper integrals, sequences, series, and polar coordinates.

A study of first-order and linear second-order differential equations with applications. Topics include solution techniques, qualitative behavior, numerical methods, Laplace transformations, and the use of series.

The course prepares computer science majors for advanced study by emphasizing components of discrete mathematics related to computer science. The topics include sets, functions and relations, logic, Boolean algebra, graph theory, proof techniques and matrices. Examples will emphasize computer science applications.

This course interweaves traditional topics in statistics with elements of data analysis using popular statistical software packages. Topics include descriptive statistics, probability distributions, sampling distributions, statistical inference for means and proportions, categorical analysis, and simple regression, including multiple and non-linear regression.

A study of vector spaces including finite-dimensional vector spaces, linear transformations, matrices, linear equations and determinants, and eigenvalues.

The goals of this course are: to introduce basic concepts in cybersecurity engineering in an integrated manner; to motivate basic concepts in the context of real applications; to illustrate a logical way of thinking about problems and their solutions; and convey the excitement of the profession.

This course strives to identify and introduce the durable intellectual ideas of embedded systems as a technology and as a subject of study. The emphasis is on modeling, design, and analysis of cyber-physical systems, which integrate computing, networking, and physical processes.

This course addresses the engineering-driven actions necessary to develop more defensible and survivable systems- including the components that compose and the services that depend on those systems.

Integration of cybersecurity knowledge gained from course work via developing a secure system for a client.

Alternating current theory, filters, wave-shaping, power supplies, transistors, amplification, integration, feedback, operational amplifiers and their application. Applicable solid-state theory will also be discussed.

Logic gates, multiplexing, flip-flops, counters, open collector and tri-state logic, analog-to-digital converters, data-logging systems.