This series of courses offers a comprehensive curriculum in computer science, covering foundational programming, data structures, algorithms, data analytics, cybersecurity, and software engineering. CS 617, Introduction to Programming, serves as a foundational course where students learn the basics of programming, including syntax, logic, and problem-solving techniques, providing a solid base for further studies. CS 601, Computer Programming and Data Structures, expands on this by introducing more advanced programming concepts and data structures, emphasizing how to efficiently store and manipulate data in software applications. CS 602, Discrete Structures and Algorithms, focuses on the mathematical foundations of computer science, teaching students about discrete structures such as sets, graphs, and trees, as well as algorithms for solving computational problems. CS 621, Data Analytics, introduces students to the tools and techniques used in extracting insights from data, providing a solid foundation in data manipulation, statistical analysis, and visualization techniques relevant to modern data-driven applications. CS 647, Cybersecurity and Secure Software, equips students with the knowledge and skills needed to develop secure software systems, focusing on principles of cybersecurity, encryption, and strategies to protect applications from various types of cyber threats. Finally, CS 690, Software Engineering, covers the software development lifecycle, teaching students about design, testing, and maintenance of large-scale software systems, and providing practical skills for working in team-based environments on real-world software projects. Together, these courses prepare students for careers in software development, cybersecurity, and data analytics, equipping them with a well-rounded, industry-relevant skill set.

This advanced set of courses in computer science offers students the opportunity to explore specialized topics, conduct independent research, and deepen their understanding of complex computational theories and applications. CS 639, Seminar in Computer Science, allows students to engage in in-depth discussions and presentations on current trends and challenges in the field, offering up to 6 credits based on participation and research outcomes. CS 668, Graphs, Algorithms and Applications, focuses on the theoretical and practical aspects of graph theory and its application to real-world problems, such as network design, routing, and optimization, providing students with a strong foundation in algorithmic thinking. CS 681, Applications of Computability, introduces the theory of computability and its real-world applications, covering topics such as Turing machines, computational complexity, and the limitations of computation in various domains. CS 699, Independent Study in Computer Science, offers students the flexibility to explore a topic of their choice in greater depth, guided by a faculty advisor, with the possibility of earning up to 6 credits for research or project work in a specific area of interest. Finally, CS 679, Research Topics in Computer Science, encourages students to explore cutting-edge research in computer science, focusing on emerging technologies, novel algorithms, or interdisciplinary areas, and offers up to 6 credits depending on the scope and depth of the research undertaken. These courses provide students with a comprehensive understanding of advanced topics in computer science, fostering critical thinking, problem-solving, and independent research skills essential for pursuing careers in academia, industry, or research.

This set of courses offers a diverse range of advanced topics in computer science and data science, preparing students for the evolving demands of the tech industry with a focus on web development, operating systems, artificial intelligence, machine learning, data storage, and cloud computing. CS 618, Full Stack Web Development, covers the complete development of web applications, teaching students both front-end and back-end technologies, as well as frameworks and best practices for creating dynamic and scalable websites. CS 619, Advanced Operating Systems and Networking, dives into the complex interactions between operating systems and networking protocols, giving students a deep understanding of how to design and manage systems that interact efficiently with networked devices. CS 626, Topics in Artificial Intelligence, explores current advancements in AI, with a focus on innovative techniques, theories, and real-world applications of machine learning, natural language processing, and robotics. CS 654, Machine Learning and Data Mining, provides an in-depth exploration of machine learning algorithms, data mining techniques, and how to apply these methods to analyze large datasets and extract valuable insights. DSCI 604, Data Storage and Management, introduces students to various storage technologies and data management systems, focusing on how to design and optimize databases for large-scale data environments. DSCI 605, Data Visualization, teaches students how to create compelling visual representations of complex data, helping them to communicate insights effectively through graphs, charts, and dashboards. Finally, DSCI 606, Introduction to Cloud Computing, offers an overview of cloud technologies and services, teaching students how to leverage cloud infrastructure for scalable storage, computing, and application development. Together, these courses provide a comprehensive skill set for students pursuing careers in software development, data science, AI, and cloud computing, combining theoretical knowledge with practical, hands-on experience.