Fundamental issues associated with autonomous robot control. Emphasizes biological perspective that forms the basis of many current developments in robotics.

Creation of complex execution and storage mechanisms, based on instruction set architecture, for software design including high-level programming languages and operating systems. Programming design projects. Credit not allowed for both ECE 2035 and ECE 3035.

Introduction to microelectronic processing technologies and CMOS. Includes a laboratory for fabrication/testing of MOS transistors, basic CMOS circuits, integrated resistors and capacitors. Credit will not be awarded for ECE 4452 and ECE 4752.

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Creation of complex execution and storage mechanisms, based on instruction set architecture, for software design including high-level programming languages and operating systems. Programming design projects. Credit not allowed for both ECE 2035 and ECE 3035.

This course introduces the theory, algorithms, and practical techniques that enable computers to interpret and reason about visual information. Students will study the full pipeline of modern computer vision, beginning with image formation, camera models, and low-level processing (filtering, edge and feature detection, image pyramids), and progressing through mid-level topics such as feature matching, optical flow, image stitching, segmentation, and stereo and multi-view geometry. The latter portion of the course covers high-level vision tasks including object detection, recognition, and tracking, with an emphasis on both classical methods (Kalman filtering, graph cuts, SIFT/ORB) and contemporary deep learning approaches (CNNs, ResNet and transfer learning, R-CNN family detectors, YOLO, and Vision Transformers).