CS - Computer Science

Prerequisites: A minimum grade of B- in both MATH 505 and CSIT 512, or permission of the instructor. A comprehensive introduction to the general organization, architecture, and functional characteristics of computer systems. Topics include machine level representation of data, assembly level machine organization, memory system organization and architecture, alternative architectures and device interfaces.

No prerequisite. Introduction to programming concepts and techniques used in problem solving using a modern programming language. Students design, implement and test programs to solve problems in IT, business and science. Topics include I/O, expressions, types, variables, branching, loops, web programming, program planning and simple multimedia programming.

Prerequisite: A minimum grade of "B-" in CSIT 512. Intensive introduction to object-oriented programming and advanced data structures. Topics include heaps, priority queues, hash tables, B+, B* trees and graphs. Emphasizing advantages and disadvantages of design and implementation choices, and the way these choices affect software quality. Instruction will be in the C++ programming language.

Prerequisites: MATH 505, Calculus and CS 519. Introduction to the analysis and design of algorithms. Topics include: sorting, searching, advanced tree structures, graph algorithms, network flow problems, amortized analysis, divide-and-conquer, greedy algorithms, dynamic programming, combinatorial search algorithms, computational geometry and NP-completeness.

Prerequisites: CSIT/CYBR 555 or Permission of Instructor 

Concepts of information assurance and security risk assessment. Protecting the confidentiality, integrity, and availability of data and their delivery systems. Topics include security assessment definitions and nomenclature, approaches for risk assessment, high assurance system design and techniques for quantitative and qualitative risk analysis.

Prerequisites: MATH 500 and CS 519. Introduces basic principles and methods for data analysis and knowledge discovery to computer science students. Topics include preprocessing, association, classification and anomaly detection. Students develop basic skills for modeling and performance evaluation.

Prerequisite: A minimum of "B-" in CSIT 512, or permission of the instructor. Comprehensive examination of the theory and practice behind software development. Students design, develop, implement and release a significantly sized software product.

Prerequisite: A minimum grade of "B-" in CS 524 or permission of the instructor. Comprehensive examination of the theory and practice behind software testing and quality assurance. Topics include: the software testing process, testing methods, test models, test design techniques, integration, regression, measurement, unit testing, slicing, debugging, inspection and software metrics.

Prerequisites: CS 530 or BIFX 530 (concurrent enrollment is permitted); or Permission of the instructor 

This course provides an overview of Data Science, covering a broad selection of challenges and methodologies for working with big data. Topics to be covered include data collection, integration, management, modeling, analysis, visualization, prediction, and informed decision making. Students work on hands-on projects and case studies using real data sets from a variety of domains including science, business, engineering, social sciences, and life sciences.

Prerequisite: A minimum grade of "B-" in CSIT 512, or permission of the instructor. History, fundamental principles, and future directions of A.I. Topics include state-space searching, knowledge representation, logic and deduction, natural language processing, neural networks, learning, vision, robotics, and cognitive science. Topics will be treated at a level of depth and detail appropriate for a first course in AI.

Prerequisite: A minimum grade of B- in CSIT 512, or permission of the instructor. Not open to students who have completed IT 530. Design and implementation of databases from a real world applications point of view. The course includes database concepts such as basic architectural issues, the relational model, query processing, logical database design and normalization theory and data protection issues.

Prerequisites: CSIT/CYBR 555 or permission of the instructor. Theory and practice behind the analysis of computing and networking equipment to determine if systems and networks have been used for illegal, unauthorized or unusual activities.

Prerequisites: CSIT 555 or CYBR 555 and CSIT 548 or CYBR 548 or permission of the instructor. 

Examination of the pervasive security threats related to the Internet, data communications and networking. Real-time or near real-time capture of information and the systematic tracking of transmissions. Topics include network-borne threats, detection, prevention and analysis; authentication; malicious software and firewalls.

Prerequisites: A minimum grade of B- in CSIT 555 or permission of the instructor. Introduction to cryptology, the science of making and breaking secret codes. Topics include encryption, cryptanalysis, public and secret key encryption, block ciphers and digital signatures. Classic and modern cryptography and encryption concepts will be introduced as tools and safeguards to be applied, implemented and evaluated in real-world scenarios.

Prerequisite: CSIT 512 or IT 514 (MS in IT students) or permission of the instructor. The role of human factors and psychology in usability; interaction and interface design issues; command languages, menus, error messages and response time physical interaction, I/O devices and interaction style and techniques; the design process and user models; interface evaluation; integration of user interfaces with software engineering.

Prerequisites: CSIT 512 and CS 528. This course deals with the simulation of human perception. Specific topics investigated include methods for pattern recognition and employing neural networks in perceptual tasks.

Prerequisites: CSIT 512 and CS 528.  Introduction to the field of modeling learning with computers. Topics included are explorations of inductive learning, learning decision trees, ensemble learning, computational learning theory, and statistical learning methods.

Prerequisites: A minimum grade of B- in CS 528, or permission of the instructor. Comprehensive examination of the theory and practice behind robot-building and the deployment of intelligent systems. Topics are divided between robot architectures (control paradigms, kinematics, sensors, actuators and navigation) and cognitive robotics (learning, decision-making, coordination and cooperation).

Data communications, computer networks and open systems. In-depth review of basic terminology and concepts in telecommunication protocols, transmission techniques, network architecture alternatives, internetworking, circuit and packet switching and telecommunication solutions.

Prerequisite: A minimum grade of B- in MATH 505, or permission of the instructor. Introduction to combinational and sequential circuit design. Topics include Boolean algebra and simplification techniques, arithmetic circuits, decoders, flip-flops, counters, registers, memory systems, analog-to-digital conversion and VHDL programming.

Prerequisites: IT 510 or permission of the instructor.  

Technical, operational and managerial issues of computer systems. Threats to computer security including schemes for breaking security, and techniques for detecting and preventing security violations. Emphasis will be on instituting safeguards, examining types of security systems and applying the appropriate level of security for perceived risks.

Prerequisite: A minimum grade of "B-" in CS 519, or permission of the instructor. This course will focus on the UNIX operating system and system level programming in the UNIX environment. Course includes an in-depth study of UNIX file handling, process structure, process control, process scheduling, memory management and interprocess communication.

Prerequisites: A minimum grade of B- in both CS 508 and CS 519, or permission of the instructor. An in-depth study of architectural concepts and principles including performance-based design tradeoffs. Topics to be covered include: instruction set design, arithmetic algorithms, hardwired and microprogrammed control, memory hierarchy design, input/output, pipelines, RISC, CISC, vector processors, parallel processors and superscalar machines.

Prerequisites: A minimum grade of B- in both CS 508 and CS 519, or permission of the instructor. A comprehensive introduction to the fundamental principles of operating systems illustrated by examples from contemporary systems. This course emphasizes the design tradeoffs involved in operating system design. Topics include: process management; concurrency; deadlock; cpu scheduling; memory management; disk management; files systems; security; and distributed, real-time and multiprocessor operating systems.

Prerequisites: A minimum grade of B- in CS 519 or permission of the instructor. A comprehensive introduction to both the principles and the practice of parallel computing. Topics to be covered include: programming and architectural models, parallel algorithms and parallelizing compilers.

Prerequisites: A minimum grade of "B-" in both CS 508 and CS 519, or permission of the instructor. Survey of major programming paradigms and their related languages, including procedural, functional, logic and object-oriented programming. Topics include: binding, exception handling, data sharing, scope, parameter passing, type checking, runtime storage management, lexical analysis, syntactic analysis, parsing, code generation and optimization.

Prerequisite: permission of the chair of the department. A maximum of 6 credits may be applied to a degree program. Reading and/or research in a selected field. An approved title for the independent study must be submitted with the registration forms. 

Prerequisite: permission of the chair of the department. A maximum of 6 credits may be applied to a degree program. Reading and/or research in a selected field. An approved title for the independent study must be submitted with the registration forms. 

Prerequisite: CSIT 512 or Permission from Instructor 

This course explores the relationship between computer programming and musical composition. Students study selected elements of music, including sound sources, rhythms, melodies, and harmonies, and learn how to generate these elements with functions and algorithms. Students also develop computer programs that generate structured musical compositions. The course includes several individual hands-on assignments, participation in a "laptop ensemble," and presentation of a final project. Students learn new programming languages and tools from the area of musical computing, solve new problems, and improve their function and algorithm design skills. A background in music may be helpful but is not required. Students are expected to have completed one course in a modern, object-oriented language such as Python, C++, or Java.

Supervision of the master’s thesis. Required of all degree candidates who select the thesis option.

Supervision of the master’s field work project. Required of all degree candidates who select the field work project option.

Prerequisites: CS 524 and 18 credits of CS coursework beyond foundation level, and permission of department. Design, creation and documentation of an applications program. Required of all degree candidates who have requested and been accepted for the software engineering project option.

Prerequisite: Completion of 15 credits and permission of the instructor.

This course is designed to provide computer science and information technology professionals with a working knowledge and practical application of the topics covered in CS, IT and MIT courses. The students will apply current research and accepted practices of CS and IT field in a variety of professional settings and will perform work supervised by both a professional advisor and a Hood advisor. Based on the description for the external position, students will craft an appropriate research/professional plan, in consultation with his/her Hood advisor. This course will help students synthesize previous concepts and training as they transition to the role of a professional. This course counts as an elective toward degree completion.