Future Courses

Every new course begins as an idea shaped by today’s questions and tomorrow’s possibilities.

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This Future Courses page showcases how academic freedom and foresight shape the future of teaching in computer science. By exploring new frontiers through special topics and shaping the curriculum ahead through proposed courses, Jaderick bridges experimentation with institutional development. These efforts ensure that the University remains responsive to emerging technologies while building a curriculum that prepares students for the challenges of tomorrow.

Special Topics: Exploring New Frontiers

Special topics courses provide a flexible pathway for introducing concepts and technologies not yet part of the formal curriculum. Exercising his academic freedom, Jaderick designs and teaches these courses to immerse students in emerging areas of computer science. Many of these frontiers later serve as the foundation for curricular innovations, offering early glimpses of tomorrow’s discipline.

Graduate Topics:

Advanced Computational Social Network Analysis (CMSC 291)
Advanced Neural Computing (CMSC 291)
Cluster Computing (CMSC 291)
Introduction to Nonlinear Systems (CMSC 291; to be offered)
Systems Biology (CMSC/BIO/MATH 291)

Undergraduate Topics:

Design and Implementation of Usable and Accessible Websites (CMSC 191)
Enterprise Programming (CMSC 191)
Forensic Computing (CMSC 191)
Introduction to Computational Social Network Analysis (CMSC 191)
Introduction to Neural Computing (CMSC 191)
Web Engineering (CMSC 191)

Proposed Courses: Shaping the Curriculum Ahead

Proposed courses represent the next step in curriculum development. Often growing out of special topics that have already captured student interest, these courses are formally designed and submitted for approval by the University’s Board of Regents. Each proposal is crafted to ensure that the University’s curriculum remains current, forward-looking, and aligned with global advances in theory and practice.

AI in Nation Building and Everyday Living (AI 1)
Fundamentals of Machine Learning (CMSC 171)
Fundamentals of Neural Computing (CMSC 179)

Together, these sections reflect a proactive approach to curriculum development. By first exploring new frontiers and then shaping them into approved courses, Jaderick ensures that students are prepared for the demands of an ever-evolving field while the University stays at the forefront of innovation in computer science education.