This course introduces computer vision, including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation, and tracking, image classification, and scene understanding.

This course provides students with the basic expertise necessary for the design and integration of embedded system hardware and software in the industry.The topics covered include overview of embedded systems, Embedded system design, Embedded system programming, Embedded system processors, Embedded system memory, Embedded system communication, Embedded system signaling, and control, Embedded system scheduling, Embedded system power management, Embedded system safety and reliability, Applications.

The objective of this course is to enable students to develop mathematical tools for the analysis and design of modern feedback control systems. The topics covered include the history and overview, including current trends in industrial control systems. Control systems: control principle, feed-back, and feed-forward, control strategy. State Space Design Methods, Characteristics of Feedback Control Systems, Frequency Response Design Methods, Bode Diagrams, Nonlinear State Evolution, Laplace Transforms, Nyquist Diagrams, Nyquist Path, Motor Speed Closed-Loop Control, Block Diagram Solution.

The course is to provide students with an introduction to law-knowledge and skills relevant to the operations of an engineering-based organization. The course covers discussions on contracts (formation, performance, breach, and termination), corporations and partnerships, insurance, professional liability, risk management, environmental law, torts, property law, evidence and dispute resolution.