Courses - Spring 2023
ENPM808
Advanced Topics in Engineering
Credits:
1 - 3
Grad Meth:
Reg, Aud
Independent study project on a topic relevant to their academic program, supervised by a University of Maryland, College Park faculty member. Requires application and approval.
ENPM808E
Advanced Topics in Engineering; Managing Software Engineering Projects
Credits:
3
Grad Meth:
Reg, Aud
This course addresses the breadth of managing software engineering projects and will help in transforming inspiring software engineers to software project leaders. The course will impart advanced principles, methods and tools for management of software projects in a realistic software engineering context.
ENPM808P
Advanced Topics in Engineering; Printed Electronics
Credits:
3
Grad Meth:
Reg, Aud
ENPM808R
Advanced Topics in Engineering; Machine Learning Techniques Applied to Cybersecurity
Credits:
3
Grad Meth:
Reg, Aud
In this course, we will introduce students to relevant unsupervised and supervised Machine Learning techniques (e.g. clustering and classification) that can be applied to Cyber Security problems. We will show and demonstrate how to transform big security-data challenges into information asymmetry advantages on the side of the defender by leveraging these techniques.
ENPM808V
Advanced Topics in Engineering; Quality Management Systems and Lean Six Sigma
Credits:
3
Grad Meth:
Reg, Aud
This course covers Quality Engineering approaches for creating optimal and robust manufacturing and engineering systems. It provides an overview of the important tools for quality analysis and quality management of engineering systems. These tools are commonly used in companies and organizations.
ENPM808Y
Advanced Topics in Engineering; Fundamental Concepts of AI and Machine Learning, and Their Applications
Credits:
3
Grad Meth:
Reg, Aud
This course covers the fundamental concepts of AI and machine learning. Students will develop solutions to concrete problems and create models and tools based on AI, think analytically about a problem using insights from AI and causal analysis, construct models and tools to deal with uncertain situations and understand the applicability of different techniques and their benefits and limitations.
ENPM808Z
Advanced Topics in Engineering; Cognitive Robotics
Credits:
3
Grad Meth:
Reg, Aud
Drawing analogy to humans cognitive intelligence is beneficial for designing smarter robots. This course will cover the fundamentals of human cognitive intellegne and the connections between robotics and cognitive science. Students will design cognitive robotics learning architectures and deploy them in a simulator like Meta-Habitat 2.0.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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Phone:
301.405.1000
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