Lecture 28 - IP adaptation 4

Lecture Series on Computer Networks by Prof. S. Ghosh,Department of Computer Science & Engineering, IIT,Kharagpur. For more Courses visit nptel.iitm.ac.in

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Lecture 1 | New Revolutions in Particle Physics: Standard Model

(January 11, 2010) Leonard Susskind, discusses the origin of covalent bonds, Coulomb's Law, and the names and properties of particles. This course is a continuation of the Fall quarter on particle physics. The material will focus on the Standard Model of particle physics, especially quantum chromodynamics (the theory of quarks) and the electroweak theory based on the existence of the Higgs boson. We will also explore the inadequacies of the Standard Model and why theorists are led to go beyond it. This course was originally presented in Stanford's Continuing Studies program. Stanford University: www.stanford.edu Stanford Continuing Studies: csp.stanford.edu Stanford University Channel on YouTube: www.youtube.com

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Lecture - 26 Agile Development

Lecture Series on Software Engineering by Prof.NL Sarda, Prof. Umesh Bellur,Prof.RKJoshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit nptel.iitm.ac.in

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Lecture 18 - JK and T Flip Flops

Lecture series on Digital Circuits & Systems by Prof. S. Srinivasan, Department of Electrical Engineering, IIT Madras For more details on NPTEL visit nptel.iitm.ac.in

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Lecture - 7 Tree Walks / Traversals

Lecture Series on Data Structures and Algorithms by Dr. Naveen Garg, Department of Computer Science and Engineering ,IIT Delhi. For more details on NPTEL visit nptel.iitm.ac.in

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Lecture 24 - DESIGN OF SYNCHRONOUS SEQUENTIAL CIRCUITS

Lecture series on Digital Circuits & Systems by Prof. S. Srinivasan, Department of Electrical Engineering, IIT Madras For more details on NPTEL visit nptel.iitm.ac.in

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Lecture 2 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on linear regression, gradient descent, and normal equations and discusses how they relate to machine learning. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed. Complete Playlist for the Course: www.youtube.com CCS 229 Course Website: www.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com

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Lecture - 2 Vector Fields of Nonlinear Systems

Lecture Series on Chaos, Fractals and Dynamical Systems by Prof.S.Banerjee,Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in.

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Lecture 3 | Programming Paradigms (Stanford)

Lecture by Professor Jerry Cain for Programming Paradigms (CS107) in the Stanford University Computer Science department. In this lecture, Prof. Cain discusses C programming, focusing upon string duplicates, string copy, and memory diagrams. Programming Paradigms (CS107) introduces several programming languages, including C, Assembly, C++, Concurrent Programming, Scheme, and Python. The class aims to teach students how to write code for each of these individual languages and to understand the programming paradigms behind these languages. Complete Playlist for the Course: www.youtube.com CS 107 Course Website: www.CS107.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com

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Lecture 8 | Programming Methodology (Stanford)

Lecture by Professor Mehran Sahami for the Stanford Computer Science Department (CS106A). Professor Sahami reviews what he covered on methods and functions and then goes into more detail. CS106A is an Introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Uses the Java programming language. Emphasis is on good programming style and the built-in facilities of the Java language. Complete Playlist for the Course: www.youtube.com CS106A at Stanford Unversity: www.stanford.edu Stanford Center for Professional Development: scpd.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube www.youtube.com

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Lecture 11 | Programming Abstractions (Stanford)

Lecture 11 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department. Julie continues with recursive backtracking and introduces pointers and recursive data. Following, she focuses on solving the problems rather than the exact code and later uses the example of a program that will solve a Sudoku puzzle. She explains that recognizing and looking for patterns between all of the different recursive examples is an important component to learning recursion. Complete Playlist for the Course: www.youtube.com CS 106B Course Website: cs106b.stanford.edu Stanford Center for Professional Development scpd.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com

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Lecture 1 - Digital Signal Processing Introduction

Lecture Series on Digital Signal Processing by Prof.S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi. For More details on NPTEL visit nptel.iitm.ac.in

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Lecture -29 Java Applets - Part:2

Lecture Series on Internet Technologies by Prof. I. Sengupta, Department of Computer Science Engineering, IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in

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Lecture - 4 Processor Activities

Lecture Series on Computer Organization by Prof.S. Raman, Department of Computer Science and Engineering, IIT Madras. For More details on NPTEL visit nptel.iitm.ac.in

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Lecture - 28 Groundwater Related Engineering Issues

Lecture Series on Engineering Geology by Prof. Debasis Roy, Department of Civil Engineering,IIT,Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in

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Lecture - 1 Introduction

Lecture Series on Digital Communication by Prof.Bikash. Kumar. Dey , Department of Electrical Engineering,IIT Bombay. For more details on NPTEL visit nptel.iitm.ac.in

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Lecture 3 - Digital Systems

Lecture Series on Digital Signal Processing by Prof.S. C Dutta Roy, Department of Electrical Engineering, IIT Delhi. For More details on NPTEL visit nptel.iitm.ac.in

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Lecture -7 Internet Routing Protocol Part -I

Lecture Series on Internet Technologies by Prof.I.Sengupta, Department of Computer Science & Engineering ,IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in

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Lecture 2 | The Fourier Transforms and its Applications

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood's lecture addresses the question- How can we use such simple functions, sin(t) and cos(t) to model such periodic phenomenon? He takes the students through the first steps in analyzing general periodic phenomenon. The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems. Complete Playlist for the Course: www.youtube.com EE 261 at Stanford University: eeclass.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube www.youtube.com

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Lecture - 17 Photovoltaic Power Generation

Lecture Series on Energy Resources and Technology by Prof.S.Banerjee,Department of Electrical Engineering, IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in.

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