This course provides a brisk, challenging, and dynamic treatment of differential and integral calculus, with an emphasis on conceptual understanding and applications to the engineering, physical, and social sciences.
This course probes fundamental ideas in electrical engineering, seeking to understand how electrical signals convey information, how bits can represent smooth signals like music and how modern communication systems work.
Nanotechnology is an emerging area that engages almost every technical discipline – from chemistry to computer science – in the study and application of extremely tiny materials. This short course allows any technically savvy person to go one layer beyond the surface of this broad topic to see the real substance behind the very small.
Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.
The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works.
A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how to build these tools in this class.
In this class you will look behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms.
This course will focus on the theory, design and operation of commercial nuclear power reactors. The course will also touch on contemporary issues regarding nuclear power generation including: the nuclear fuel cycle, the economics of nuclear power, and nuclear non-proliferation.
Step into the world of Tissue Engineering, a rapidly expanding field of applied biology aiming to create artificial organs for transplantation, basic research, or drug development.
Learn how MOS transistors work, and how to model them. The understanding provided in this course is essential not only for device modelers, but also for designers of high-performance circuits.
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PLEASE NOTE that all content and materials in this course are the property of Georgia Tech and Dr. Wayne Whiteman, and are protected by copyright, patent and/or other property intellectual property rights under the United States and foreign laws. The terms and conditions of this course are that individuals may download and use materials in this course for your own personal, non-commercial use. Universities and other entities may not use these materials in an organized, group, or classroom-type setting without obtaining licensing permission from Georgia Tech. You may contact Dr. Wayne Whiteman directly for information regarding the licensing procedures.
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