This is an intermediate-level programming course covering techniques for developing large-scale software systems using object-oriented programming. Coverage includes software development life cycle models, requirements analysis, and graphical user interface development.

This course provides balanced coverage of database use and design,focusing on relational databases. Students will learn to design relational schemas, write SQL queries, access a DB programmatically,and perform database administration. Students will gain a working knowledge of the algorithms and data structures used in query evaluation and transaction processing. Students will also learn to apply…

Students in this course will learn about the use and design of modern operating systems, focusing on Linux. On the “use” side, students will learn the Linux command line, to write shell scripts, and to build programs with GNU utilities like awk, sed, and make. On the “design” side, students will develop a deep understanding…

Survey of Telecomm and Data Comm Technology Fundamentals, Local Area Network, Wide Area Network, Internet and internetworking protocols including TCP/IP, network security and performance, emerging industry trends such as voice over the network and high speed networking. Designed as a foundation for students who wish to pursue more advanced network studies including certificate programs. Includes…

Provides students with dynamic web application development skills, focusing on the integration of server-side programming, database connectivity, and client-side scripting. Coverage includes the Internet architecture, responsive design, RESTful web services, and Web APIs. 

Students learn important data structures in computer science and acquire fundamental algorithm design techniques to get the efficient solutions to several computing problems from various disciplines. Topics include the analysis of algorithm efficiency, hash, heap, graph, tree, sorting and searching, brute force, divide-and-conquer, decrease-and-conquer, transform-and-conquer, dynamic programming, and greedy programming.

Provides students with key knowledge of race, gender, class and social justice especially in relation to technology in today’s digital world. Students challenge the barriers of expertise, gender, race, class, and location that restrict wider access to and understanding of the production and usage of new technologies. Students will engage in a practical experience in…

In data science, data analysis and machine learning techniques are applied to visualize data, understand trends, and make predictions. In this course students will learn how to obtain data, preprocess it, apply machine learning methods, and visualize the results. A student who completes the course will have enough theoretical knowledge, and enough skill with modern…

Prepares students for large-scale software development using software engineering principles and techniques. Coverage includes software process, requirements analysis and specification, software design, implementation, testing, and project management. Students are expected to work in teams to carry out a realistic software project.

Students create a detailed proposal of a substantial, professional level project with an approval of the student’s capstone advisor. Students learn and practice project planning, collaboration and writing skills required in the industry.

The course offers students a culminating experience by integrating the knowledge and skills acquired throughout their academic program into a comprehensive project. Students often work on a large group real-world project, exploring the problem space, developing requirement specifications, and proposing a solution followed by design and development of the solution. Concurrently, students will acquire and refine…