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Courseware
Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. A computer and an Internet connection are all you need. The SEE course portfolio includes one of Stanford's most popular sequences: the three-course Introduction to Computer Science, taken by the majority of Stanford’s undergraduates, as well as more advanced courses in artificial intelligence and electrical engineering.
- Course related:
- EE1D01 Electrical Science for Everyone
- Subjects:
- Biomedical Engineering, Electronic and Information Engineering, Mechanical Engineering, and Computing, Data Science and Artificial Intelligence
- Keywords:
- Engineering Computer science
- Resource Type:
- Courseware
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Video
We are on a mission to provide free and subsidized education. We believe that the real world exists beyond the walls of costly institutions. We are here to help you in all the possible ways. A small step to educate the world. Join us and be a part of our creative community. "Every individual is different and talented, what you need are passion and curiosity."
- Course related:
- EE3001A Analogue and Digital Circuits, EE2003A Electronics, EE3008A Linear Systems and Signal Processing, and EE4004A Power Systems
- Subjects:
- Computing, Data Science and Artificial Intelligence, Electrical Engineering, and Electronic and Information Engineering
- Keywords:
- Engineering Engineering -- Data processing Computer science
- Resource Type:
- Video
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Video
The Internet of Things gives us access to the data from millions of devices. But how does it work, and what can we do with all that data? Find out in this animated tutorial from IBM's Think Academy. For more information on IBM and the Internet of Things, please visit: http://www.ibm.com/IoT
- Subjects:
- Electronic and Information Engineering
- Keywords:
- Embedded computer systems Internet of things
- Resource Type:
- Video
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Video
People have been grappling with the question of artificial creativity -- alongside the question of artificial intelligence -- for over 170 years. For instance, could we program machines to create high quality original music? And if we do, is it the machine or the programmer that exhibits creativity? Gil Weinberg investigates this creative conundrum.
- Subjects:
- Electronic and Information Engineering
- Keywords:
- Robotics Artificial intelligence
- Resource Type:
- Video
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Courseware
This course covers signals, systems and inference in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; and group delay. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization. Least-mean square error estimation; Wiener filtering. Hypothesis testing; detection; matched filters.
- Subjects:
- Electronic and Information Engineering and Electrical Engineering
- Keywords:
- Signal theory (Telecommunication) Signal processing System analysis
- Resource Type:
- Courseware
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e-book
Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g. in medicine, cartography, geology), diagnosing technical conditions of devices, and many others. Nevertheless, pattern recognition is probably the most developing area because of the great demand for such solutions in the different areas of our lives. In this book we have collected the experience of scientists from different parts of the world who have researched diverse areas connected directly or indirectly with pattern recognition. We hope that this book will be a treasure trove of knowledge and inspiration for further research in the field of pattern recognition.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Electronic and Information Engineering
- Keywords:
- Pattern perception Image processing Pattern recognition systems
- Resource Type:
- e-book
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e-book
Genetic and cellular technologies in life science have recently achieved remarkable progress, and thus the roles of biochemical engineers have also been changed to incorporate the use of new technology. Therefore, this book deals with current topics in biochemical engineering. The chapters of this book discuss research that has introduced artificial enzymes, kinetic models in bioprocessing, a small-scale production process, and production of energy with microbial fuel. These chapters offer novel ideas for the production of effective compounds and energy. Moreover, other research has introduced the production technology of stem cells and biomedical processes using nanoshells and extracellular vesicles. These chapters will provide novel ideas to produce effective compounds and develop therapies for various diseases.
- Subjects:
- Electronic and Information Engineering
- Keywords:
- Biochemical engineering
- Resource Type:
- e-book
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e-book
Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Electronic and Information Engineering
- Keywords:
- Human face recognition (Computer science)
- Resource Type:
- e-book
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Courseware
6.453 Quantum Optical Communication is one of a collection of MIT classes that deals with aspects of an emerging field known as quantum information science. This course covers Quantum Optics, Single-Mode and Two-Mode Quantum Systems, Multi-Mode Quantum Systems, Nonlinear Optics, and Quantum System Theory.
- Subjects:
- Electronic and Information Engineering and Physics
- Keywords:
- Quantum optics Quantum theory Nonlinear optics
- Resource Type:
- Courseware
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