Bachelor of Science in Information Technology online

The course has two themes. The first theme introduces computer concepts. Topics include hardware and software fundamentals; computer and information systems; data communications and computer networks; World Wide Web and the Internet; social impact of computers including discussions on privacy, security, civil liberty, risk of computers, intellectual properties, and computer related legislations. The second theme familiarizes students with leading application software such as Excel, PowerPoint, Access and Web design programs. Practical computer problem-solving skills are emphasized through intensive hands-on exercises.

This course introduces students to the fundamental knowledge of computers and computing with a strong emphasis on the algorithmic approach to computer problem solving and the procedural programming methodology including analysis, design, documentation, implementation, and debugging. Students are required to work on substantial programming assignments in C/C++.

The course covers fundamentals of computer hardware with an emphasis on the functions and behaviors of digital components and modules and how to use them to design and implement modern digital systems. Topics include: internal CPU organization and implementation, peripheral interconnect and IO systems, and low-level programming and security issues.

This course covers the principles and functions of modern operating systems, and applying and using computer operating systems. Topics include operating system configuration, file systems, I/O systems, security, networking interfacing, multitasking, multiuser, device driver installation, and analyzing operating system performance. Popular operating systems such as Windows, UNIX/Linux and Mac OS will be used for illustration.

This course is a continuation of CS 2300. It introduces object-oriented programming (OOP) in Java in the UNIX/Linux programming environment. The major topics covered in the course include standard I/O in Java, static and instance methods, abstract data types (ADT), data abstraction and information hiding, inheritance dynamic binding of the methods to the messages, generic methods and classes, Collections, recursion, exception handling, GUI, and multi-threading This course also emphasizes the object-oriented software design and implementation methodology, the use of UNIX/Linux basic commands, and programming in the UNIX/Linux environment. Programming projects are implemented in Java and developed in the UNIX/Linux programming environment. This is a technology intensive course. Prerequisite(s): CS 2300 with at least a C- and MATH 1160 or MATH 1350 with at least a C-.

Topics include elementary propositional logic; basic inferential reasoning; elementary set theory; relations and their properties; functions; integer operations and algorithms; binary and other bases; introduction to combinatorics and discrete probability; matrices; elements of graphs, trees, and their applications; Boolean algebra. Some programming will be required.

The course presents the fundamentals of data communication and computer networking. Major topics include state-of-the-art local and wide area networking technologies; layered internetworking architecture; TCP/IP protocal suite and the Internet; networking standards and standard organizations; network security, privacy, management, and administration; network applications emphasizing the Internet; networking industry; social impact of networking; and trends and emerging technologies such as the increasingly popular mobile and wireless data communication.

This course provides an in-depth and practical understanding of computer data communication and modern computer networks. It also provides students with hands-on training on the design, troubleshooting, modeling, and evaluation of computer networks. Major topics includes network architecture, network protocols, major networking technologies, network security techniques, and the management of routers, switches including switch configuration, router configuration, and firewall configuration.

Fundamental principles, problem solving, and best practices in configuring, integrating, upgrading, diagnosing, and managing computer systems software in stand-alone, networked, and multi-user contexts. Topics include: operating system fundamentals, understanding boot mechanism, system and device installation/configuration, user support, shell and Perl scripting for automating/facilitating management, systems services, applications software installation and support, security policies and practices, backup procedures, disaster recovery, establishing networking contexts, client-server issues, maintenance, operating system performance tuning, emulation, virtualization, multi-booting, multi-core & multi-processor load balancing, distributed computing, cloud computing environments, and current issues. Windows and Linux with X Windows will be the primary platforms for exploration, hands-on work and preparation for certification exams.

This course provides an overview of data organization, data management, and data manipulation by applications. It will explore the enterprise perspective of managing data. The students will learn data integrity, data models, security, database integration, and various database administration issues. A significant data management project in query processing within a database environment will be included in the course.

Introduction to the Web Management, Web Page Design, and Website Development Topics: Review of client-server model, web-server configuration (in Linux and Windows), web protocols, HTML5 and several of its API’s, CSS formatting, JavaScript, AJAX, Web2.0, server-side scripting (PHP, Node.js…), and other current technologies. Programming will be required.

This course introduces the fundamental theories and practices of information assurance and security. Topics include fundamentals of security principles, basic cryptography, security management, risk assessment, operations and physical security, software and network security, as well as ethical and legal issues.

This course introduces professional issues and responsibilities in the field of information technology; IT governance and resource management, risk identification and evaluation, environmental issues, ethical, legal, and privacy issues, intellectual property, project management principles, communications, teamwork and conflict management, employability skills and careers in IT, and information systems principles. Prerequisite: CS 3660.

This course offers a comprehensive exploration of contemporary theories and practices essential for thwarting cyber-attacks with extensive hands-on experience. This course covers a broad spectrum of countermeasures such as encryption techniques virtual private networks secure systems development and advanced firewall architectures alongside the latest in software assurance verification and validation strategies. The course also covers incident management digital forensics and the creation of robust business continuity and recovery plans providing a holistic view of cybersecurity measures necessary to protect digital assets and maintain the integrity of information systems against sophisticated cyber-attacks.

This course provides a hands-on experience with the issues and techniques of systems analysis and design. A team project applying the methodologies covered is the main focus of the course. This course gives a comprehensive overview of systems analysis and design concepts and techniques, as well as the application of these techniques to information technology projects. Students will learn to analyze, model, and design information system using the latest tools and methodologies.

This course introduces students to the theories and practices of cryptography. Topics includes classical ciphers, modular arithmetic, hash functions, stream and block ciphers, public-key cryptography, key exchange, digital signatures, message authentication and their application to computer system and networking. Prerequisite(s): CS 3660 or CS 3380​ with a grade of C- or better.

This course introduces students to the theories and practices of cryptography. Topics includes classical ciphers, modular arithmetic, hash functions, stream and block ciphers, public-key cryptography, key exchange, digital signatures, message authentication and their application to computer system and networking. Prerequisite(s): CS 3660 or CS 3380​ with a grade of C- or better.

This course provides a comprehensive coverage of data analytics and its application. Every stage of the CRISP-DM (Cross Industry Standard Process for Data Mining) process, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment, will be studied. To make sense of data (i.e., data analytics), data mining and machine learning techniques of association, classification, clustering, and anomaly detection will be covered. Students will also learn the concepts of data warehousing, OLAP (On-Line Analytical Processing), neural networks, as well as deep learning. Ethical and security issues in data science will be introduced.

This course introduces the fundamentals of database-driven web applications as well as the programming technologies and techniques used to build them. Topics include extended coverage of HTML, JavaScript, Web server administration, database concepts, VB .NET, ASP.NET, and PHP. Students will be charged an additional computer science lab fee when enrolling in this course.

A rigorous study of the fundamental concepts, principles, and practices in the establishment, programming, and effective administration/management in Cloud Computing. We will review how Infrastructure, Software, and Platform are Services in various cloud models, modern aggregate and distributed computer systems, and networking. Analytic aspects for inquiry and critical assessment include several models of performance, scheduling, resource allocation, scalability, cost, configuration, maintenance, trouble-shooting, privacy, security, monitoring, availability, energy efficiency, and legal issues in the creation and application of cloud platforms. This course will focus on the theory, principles, algorithms, practices, applications programming, trade-offs and problem-solving in Cloud Computing, including hands on laboratory experiments and homework projects using preexisting clouds, specifically from Amazon, Google, and Microsoft. Case studies will be drawn from business contexts (IBM, Yahoo, Twitter, Facebook), scientific computation, and databases. Students will be expected to set-up and explore several virtual machine models (in both Windows and Linux) and very small-scale clouds using OpenStack as part of the projectwork. Several programs will be written to run on these clouds both in class and as homework.

This course provides a comprehensive and balanced coverage of the basic concepts, principles, and practices of computer and network security. Topics include vulnerabilities of computer and information systems; privacy and integrity of information; security goals, policies, planning, implementation, and administration; legal and ethical issues security. Closely integrated into the above topics are technologies used to secure systems including access controls, cryptographic algorithms and tools; public key infrastructure and certificates for entity authentication; firewalls; VPNs; intrusion detection and prevention systems.

A rigorous course for math and science majors, covering measures of central tendency; measures of variation; graphical techniques for univariate and bivariate data; correlation and regression, probability, binomial and normal distributions; estimation; confidence interval; testing of hypotheses; contingency tables; analysis of variance; nonparametric methods. Use of packages such as SAS, Minitab, etc., is emphasized.