B.S. in Computer Science

Terms and concepts in Computer Science. Topics include a review of algorithms, elementary data structures, program design, and programming utilizing a block structured programming language.

Fundamental concepts and techniques in computational design and relevant mathematics, including logic circuit design, modern processor architecture, and assembly language. Preparation for professional certification exam. Prerequisite: CSCI 201.

Design and implementation of modern Operating Systems, including Operating System components and structures, process and thread models, mutual exclusion and synchronization, scheduling algorithms, memory management, I/O controls, file systems, and security. Prerequisite: CSCI 201.

Issues relating to Computer Information Systems and the ethical and moral responsibilities of those who work with computers, professionals or end users. Provides foundation to make appropriate decisions when facing difficult situations.

Programming with the C++ language; object-oriented programming; classes, objects, inheritance, morphism; pointers, memory management; software development. Prerequisite: CSCI 201.

Studies the design of structures for representing and deploying information. Considers abstract structures and implementation techniques in specific programming languages. Prerequisites: CSCI 314.

Study of tools and techniques of database analysis and design. Attention to data modeling, designing relational databases, and normalization using modern database applications. Preparation for professional certification exam, such as Oracle Database SQL Expert certification or similar. Prerequisites: CSCI 314.

Trends in large scale computing platforms ranging from desktop multicore processors to virtualized cloud computing environments. Topics include parallel architectures and network topologies, granularity, applications, and debugging. Prerequisites: CSCI 210 and CSCI 314.

Mechanisms for mobile computing systems. Fundamental concepts of mobile and smart computing as well as service and security management of these systems. Preparation for professional certification exam. Prerequisites: CSCI 314.

Introduces programming fundamentals using Visual Basic.net. Use of algorithms and computer logic to translate data into information through structured design, coding, testing, and program debugging, writing programs in high-level, object-oriented language.

Students gain in-depth knowledge of networking and telecommunications fundamentals including LANs, MANs, WANs, intranets, the Internet, and the WWW. Attention to data communication and telecommunication concepts, models, standards, and protocols in the context of installation, configuration, systems integration, and management of infrastructure technologies. Prerequisite: ISYS 204 and Sophomore standing.

Business and government are facing a rapidly expanding need for information assurance professionals. Information protection program design, internetworking and application security, the development of information security safeguards and information security auditing, disaster recovery, policy development, identity management, and effective threat assessment. Prerequisite: ISYS 204 and Sophomore standing.

A first course in calculus and analytic geometry. Limits and continuity. Differentiation and applications of derivatives. Integration and the Fundamental Theorem of Calculus. Prerequisite: Grade of B- or better in MATH 164 or equivalent, or permission of department chair.

A second course in calculus and analytic geometry. Techniques and applications of integration. Introduction to differential equations. Parametric equations and polar coordinates. Infinite series and power series. Prerequisite: MATH 211.

A third course in calculus and analytic geometry. Vectors, lines and planes. Three-dimensional space and calculus of several variables, including partial differentiation and multiple integrals. Introduction to vector analysis. Prerequisite: MATH 212.

Systems of linear equations, linear transformations, and matrices, determinants, eigenvectors and eigenvalues. Euclidean spaces, vector spaces, and inner product spaces. Prerequisite: MATH 213.