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.

An intermediate programming course focused on solving and automating common information technology challenges using a contemporary scripting language. Topics include command line interfaces, scripted control structures, arrays and dictionaries, object-oriented design concepts, and text processing.

Students will be exposed to appropriate format and page layout, adding and manipulating visuals, images, and rich media, creating a navigation scheme and linking together multiple pages and sites, creating basic forms, building interactive features, and publishing/maintaining web sites.

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.

An introduction to information systems with a focus on the collection, manipulation and analysis of structured data. Students will utilize spreadsheets and relational databases to formulate solutions to common business challenges. In addition to fundamental data planning and modeling concepts, students will be introduced to data analysis and visualization techniques, as well as the use of structured programming to automate some data management tasks.

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.

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.

This course explores routing and switching protocols, and practical applications of enterprise network design. There is a lab component to the course.

Introduces network packet analysis and network traffic analysis techniques. Course provides in-depth coverage of the TCP/IP protocol suite. Popular diagnostic tools are used to monitor protocols in action and to understand how the network protocols work.

Designing, developing, and maintaining database resources is treated, emphasizing application of established database development tools within a structured development method.

Introduces students to modern approaches for analyzing and designing information systems.

Project management is the use of a standardized set of documented processes to control projects in an organization. This course addresses the life cycle of a project, the management of the project, how a project scope is written, how the time management is constructed and communicated.

Develops a broad understanding of the role of information technology, systems, and resources, especially in business settings.

An introduction to operating systems geared towards future administrators. Includes coverage of operating system roles, functions and services, hardware components, virtualization, and the installation, configuration, and administration of a secure operating system.

Overview of information security forensics activities. Topics include digital forensics investigative basics, techniques, and digital forensics examination criteria. Course includes hands-on lab activities where techniques and procedures are displayed and tested.

A broader examination of operating systems as used in secure, large-scale enterprise environments. Includes coverage of virtualized/hosted/cloud-based systems and services, network storage, configuration & change management, distributed authentication, and other contemporary concepts.

A symbolically intensive functional approach to algebra that incorporates the use of appropriate technology. Emphasis will be placed on the study of functions and their graphs, inequalities, and linear, quadratic, piece-wise defined, rational, polynomial, exponential, and logarithmic functions. Appropriate applications will be included.

A study of frequency distributions of data, graphical and numerical presentations of data, probability, discrete and continuous distributions, sampling distributions, estimation, hypothesis testing, simple linear regression and correlation and goodness of fit.

A description of the applications of linear models, simple non-linear models, applied probability, and selected topics from calculus. Additional topics may include a discussion of quadratic models, conditional probability, Bayes’ Theorem, and Markov Chains.