Information Technology

Graduates will demonstrate proficiency in analyzing complex information technology problems, designing effective solutions, and implementing innovative strategies using analytical skills and problem-solving techniques.

Graduates will apply a solid foundation of information technology principles to analyze, design, and develop innovative solutions to real-world challenges in diverse domains, showcasing adaptability and creativity in response to evolving technological landscapes.

Graduates will seamlessly collaborate within multidisciplinary teams, communicating technical concepts clearly, and contributing positively to collaborative projects in both technical and non-technical settings. They will make informed decisions considering societal, cultural, and ethical factors, fostering responsible and sustainable technological solutions.

Graduates will exhibit leadership skills by guiding information technology projects, inspiring peers, and driving positive change. They will apply entrepreneurial thinking to identify opportunities, take calculated risks, and transform ideas into viable ventures, addressing local and global challenges through outreach, mentorship, and socially impactful projects.

Analyze a complex computing problem and apply principles of computing, mathematics, scientific reasoning, and other relevant disciplines to identify solutions.

Design, correctly implement, evaluate, integrate, and document secure computing-based solutions to meet a given set of computing requirements in the context of the Information Technology discipline.

Communicate effectively, both orally and in writing, in a variety of professional contexts.

Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

Function effectively as a member or leader of a team engaged in activities appropriate to the Information Technology discipline.

To introduce students to the methods and applications of calculus and to a mathematical way of thinking. After completing this course, students should be well versed in the mathematical language needed for applying the concepts of calculus to numerous applications in science and engineering. They should be prepared for courses in differential equations, linear algebra, or advanced calculus.

This course provides students with a deep understanding of the fundamental principles governing the internal structure and operation of digital computers. It explores the intricate relationship between hardware and software, delving into how computer components are organized and how they collaborate to execute programs efficiently. Topics include: Number systems, data representation, processor organization and instruction set architecture, memory hierarchy, input/output systems, and assembly language programming.

This is a foundational course that provides students with the fundamental knowledge and skills required to begin programming and develop software applications. The course introduces key concepts and principles of programming, focusing on problem-solving, algorithmic thinking, and good programming practices. Students will learn the basics of data types, control structures, functions, and basic algorithms. They will develop the skills necessary to design, write, and debug programs to solve simple computational problems.

This lab is a practical companion course to CSC 206. In this lab, students will apply the concepts learned in the lectures through hands-on programming exercises. The lab provides a supportive environment for students to gain practical experience in coding, debugging, and problemsolving.

This is an intermediate-level course that aims to develop students’ understanding and proficiency in designing and implementing software solutions using object-oriented programming (OOP) methodologies, principles, and techniques. Students will learn how to structure programs around classes and objects, inheritance and polymorphism, and exception handling, enabling them to create modular, reusable, and maintainable code.

This lab is a practical companion course to CSC 208. In this lab, students will apply the concepts learned in the lecture through hands-on coding exercises and projects. The lab provides a supportive environment for students to gain practical experience in designing, implementing, and testing object-oriented software systems.

This course provides students with a comprehensive understanding of fundamental data structures and their associated algorithms. Topics include: One-dimensional and multi-dimensional arrays, linked lists, stacks and queues, trees and binary trees, heaps and priority queues, hashing, and graphs.

This course provides a comprehensive introduction to the principles, concepts, and practical aspects of database management systems (DBMS). The course aims to develop students’ understanding of data modeling, entity relationship modeling, relational database design, SQL (Structured Query Language) programming, database security and integrity, and database 180 administration. Students will learn how to design, implement, and query databases, enabling them to effectively manage and manipulate data in various applications.

This course provides students with a comprehensive understanding of the principles of computer networks, protocols, and technologies that underpin modern networking. Topics include application layer protocols (http, smtp, DNS), transport layer protocols (UDP, TCP), network layer protocols (IPv4, IPv6, SDN), routing algorithms, link layer and LAN, wireless and mobile networks (WiFi 802.11), security, and multimedia.

This lab is a hands-on companion course to the theoretical concepts covered in CSC 315. Through a series of structured labs, interactive simulations, and real-world scenarios, students will gain a deeper understanding of the foundational principles and technologies that drive modern computer networks.

This is an introductory course that provides a solid foundation in web development concepts and techniques. It focuses on the fundamentals of web programming, including HTML, CSS, and JavaScript. Students will learn how to create static web pages, apply styling using CSS, and add interactivity through client-side scripting with JavaScript. The course will also cover topics such as web design principles, responsive web development, and web accessibility.

This course provides a comprehensive introduction to the principles and practices of System Analysis and Design in the context of developing robust and efficient information systems. Students will engage in problem solving activities and explore contemporary industry practices and the entire system development life cycle, from understanding business requirements to designing and implementing effective solutions. Topics include system requirements elicitation, analysis, and documentations, system architecture design that meets business objectives, use case modeling, domain modeling, user interface design, database design, object oriented design, project planning and project management. Selected cybersecurity and ethical issues relevant to this course will be examined.

This course provides a comprehensive introduction to the design, implementation, and functionality of operating systems.                             Topics include: Process management and scheduling algorithms, memory management and allocation techniques, file systems, input/output (I/O) operations, security, reliability, and performance. Students will examine concepts such as process synchronization, deadlock avoidance, and error handling. They will also explore methods for optimizing system performance through efficient resource management and scheduling strategies.

This hands-on laboratory course introduces students to essential Linux operating system skills using a modern Linux distribution such as Ubuntu. Students will learn and practice fundamental shell commands, file system navigation, file and directory management, user and group administration, permissions, and basic process and job control using the Bash shell. The course includes use of standard tools such as vi, Nano, top, chmod, chown, and ps. This lab complements the Operating Systems lecture course by providing practical experience in Linux system environments.

This course offers an in-depth exploration of the principles, techniques, and technologies underlying the creation, manipulation, and rendering of images and visual content using computer algorithms. Topics include: Graphics hardware and APIs, basic drawing algorithms, 2-D and 3-D transformations and projection, curves and surfaces, windowing and clipping, curves and surfaces, hidden surface and hidden-line removal, texture mapping, color theory and shading models, illumination models, image synthesis and computer animation.

This course provides an in-depth knowledge and practical skills necessary to design, develop, and optimize advanced database systems.    Topics include: Advanced data models, query optimization techniques, transaction management, distributed databases, and data warehousing. Other advanced topics may be covered, such as database security, data mining, big data management, and cloud databases. Emphasis will be placed on both theoretical foundations and practical implementations, enabling students to apply their knowledge to real-world scenarios. The course is delivered through a combination of lectures, hands-on programming exercises, group discussions, and case studies.

This course explores the mathematical foundations and practical applications of the Graph Theory, which are essential for understanding and analyzing complex computational problems. Topics include various graph representations, graph terminology, and fundamental graph algorithms such as graph connectivity, spanning trees, graph coloring, matching, and graph traversal algorithms like breadth-first search and depth-first search.

This course provides a foundational understanding of the theoretical structures of computer science. It explores the fundamental capabilities and limitations of computation by examining abstract models of computation such as finite automata, pushdown automata, and Turing machines. Students will learn to formalize computational problems, analyze their inherent complexity, and understand the hierarchy of languages and the power of different computational models. Topics covered include regular languages and expressions, context-free grammars and languages, the Church-Turing thesis, decidability and undecidability, and an introduction to computational complexity theory.

This course provides students with a comprehensive understanding of programming languages, their features, design philosophies, and implementation techniques. Through a combination of theoretical concepts and practical exercises, students will gain insights into how programming languages are designed, how they facilitate different programming paradigms, and how to select the appropriate language for specific tasks. The course delves into the relationship between language syntax, semantics, and program execution, enabling students to write effective, efficient, and maintainable code using a variety of programming languages.

This course introduces the principles and practices of project management. Students will learn how to initiate, plan, execute, monitor, control, and close projects using industry-standard methodologies. Topics include project life cycles, scope management, scheduling, budgeting, risk assessment, quality control, communication, resource allocation, and team coordination. The course emphasizes the use of project management tools and software (e.g., Gantt charts, network diagrams, and project tracking applications), and integrates soft skills such as leadership, teamwork, and stakeholder engagement. Case studies and practical assignments prepare students to manage real-world projects effectively and ethically.

This course provides students with a comprehensive understanding of the principles, methodologies, and practices involved in the development of high-quality software systems. It provides students with the essential skills and knowledge necessary to design, develop, test, and maintain software applications efficiently and effectively. Topics include: The software development life cycle (SDLC), requirements engineering, software design principles and patterns, software implementation and coding standards, software testing and quality assurance, software maintenance and debugging, teamwork and collaboration, and ethics and professionalism.

Topics include: Mobile user interface design and user experience, app development frameworks (Swift, Java, Kotlin, React Native, Flutter), app architecture, app testing and debugging, and app deployment and distribution.

This course provides a comprehensive introduction to the principles and practices of high-performance computing (HPC). It explores the architectural paradigms, programming models, and software tools necessary to effectively utilize parallel computing systems for solving computationally intensive problems in various scientific, engineering, and data science domains. Students will learn about different parallel architectures, including multi-core processors, shared-memory systems, distributed-memory clusters, and accelerators (like GPUs). The course covers fundamental concepts in parallel algorithm design, parallel programming using models such as shared memory and message passing), performance analysis and optimization techniques, and considerations for developing efficient and scalable parallel applications.

This course equips students with the knowledge and skills necessary to effectively plan, implement, and maintain modern computer networks. This course goes beyond the theoretical understanding of network protocols and technologies, focusing on practical aspects of network administration and optimization. Students will explore key concepts in network design, monitoring, troubleshooting, and security, preparing them for roles in network administration and management. Topics include: Network Planning and Design, Network Configuration and Implementation, Network Monitoring and Performance Optimization, Fault Detection and Troubleshooting, Network Security Management, Wireless Network Management, Network Documentation and Standards, and Network Administration Tools and Platforms.

This course equips students with the knowledge and skills necessary to effectively plan, implement, and maintain modern computer networks. This course goes beyond the theoretical understanding of network protocols and technologies, focusing on practical aspects of network administration and optimization. Students will explore key concepts in network design, monitoring, troubleshooting, and security, preparing them for roles in network administration and management. Topics include: Network Planning and Design, Network Configuration and Implementation, Network Monitoring and Performance Optimization, Fault Detection and Troubleshooting, Network Security Management, Wireless Network Management, Network Documentation and Standards, and Network Administration Tools and Platforms.

Topics include: Reconnaissance and information gathering, network discovery and port scanning, vulnerability assessment, exploitation and penetration, post-exploitation and privilege escalation, web application security, wireless network security, reporting and remediation, and legal and ethical considerations.