300
This course provides a comprehensive exploration of programming languages, starting with the theory of computation, including regular languages, grammars, and automata. Students will examine how computers execute operations at the hardware level and how assembly languages relate to machine architecture. The course then covers the process of compiling high-level code into machine-readable instructions. Students will also explore different programming language paradigms and their design principles, focusing on how languages abstract away hardware complexities to enable efficient software development. The student will also study three different programming languages and write a short project in each.
Data science is an interdisciplinary field which blends mathematics, computer science, and various domain-specific fields (such as bioinformatics). The goal is to extract usable information from large sets of data. This course will be an introduction to data science using R, Python or a similar language. Emphasis will be on exploratory data analysis, visualization, model fitting, classification, and prediction.
Studies the use of simulated evolution in computer science and biology. Primary emphasis will be on the use of evolutionary and genetic algorithms as tools for solving combinatorial optimization problems (including problems arising in bioinformatics). Secondary emphasis will be placed on construction of computer models designed to illuminate aspects of evolutionary theory (e.g. the computer evolution of strategies for playing the prisoner's dilemma as a model for the evolution of altruistic traits).
Covers the fundamental algorithms used in both symmetric key and public key cryptography. Algorithms include AES, Diffie-Hellman, RSA, elliptic curve cryptography, as well as cryptographical hash algorithms. Both mathematical foundations and computer implementations will be discussed during the course.
Is designed to teach computer science and computer information science majors the skills necessary to learn computer science on their own and communicate their knowledge to others in oral and written form. All students will attend presentations made by senior computer science students. Students will be required to write a short, independently-researched paper and present it to the other students in the junior seminar.
Junior Standing
Will introduce concepts of algorithm analysis, strategies, time and resource complexity and basic computability. Emphasizes algorithm development, adaptation, and cost/benefit analysis.
CSC 145 and
MTH 220 (May be taken concurrently with instructor permission)
Is a seminar in information resource management covering such topics as office automation, networks, distributed data processing, data integrity, and decision support systems.
Junior standing or permission of instructor
This course focuses on the design, management, and implementation of wired and wireless computer networks. Course topics expand on network software and management, switch and routing technologies, security fundamentals for devices, and integrating automation and programming into networks. Topics may include software defined networks, security issues and other advanced topics.
This course addresses the architectural components of distributed software architectures including modular open systems approach (MOSA), microservices and other cloud-native architectures. Course emphasis is on Software as a Service (SaaS). Examines the practical and security considerations implied. Topics include the considerations and advantages of SaaS, common architectures and examples, applications and adoptions. A course project focusing on the design, development and testing of a SaaS chain.
The front end is in charge of the website's aesthetic appearance and feel. Front-end developers strike a balance between art and science, combining code with visual design principles to create a great user experience. This course introduces one front-end web technology and includes a team course project focusing on the user experience of the implemented design using professional processes and tools.
Back end designers are responsible for a website's architecture and logic in the background. Back end developers strike the balance between efficiency and effectiveness of the site. This course introduces one back-end web technology and includes a team course project focusing on the quality of the implemented back-end design using professional processes and tools.
This course deals with understanding and evaluating the user experience of technology. including the processes and techniques of UX design. Process topics include contextual inquiry, contextual analysis, modeling, design ideation and sketching, conceptual design, prototyping, UX testing evaluation and reporting. Learning focuses on the development and presentation of a team-based UX project.
COM281 or CSC381 or PSY310 or PSY318 or permission of the instructor