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B.E. Chemical Engineering
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Lecture 20: Models
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Advertising and Marketing
Lecture 1: Introduction
Lecture 38: Fast Fourier Transforms
Lecture 1: Sampling Theorem and Orthonormal PAM/QAM - Capacity of AWGN Channels
Lecture 28
Lecture 31: PHP Tutorial - 31 - Testing for Spammers and Hackers for PHP Game
Math Study Tips
Voicethreads
TED Talks
Lecture 14: The Concept of Innovation
Lecture 26: NLP and IR: How NLP has used IR, Toward Latent Semantic
Mode
Lecture 32: Multi rate Signal Processing
Lecture 7: Differentiation and its application
Lecture 7: Text File to Database
Lecture 4: More ISA Tradeoffs
Lecture 9: Pressure –driven Microflows
Lecture 27: Discussion on Error Free Communication Over Noisy Channel
Lecture 8: Transmission of Digital Signal - II
Solving Linear Inequalities (Khan Series)
Lecture 23: Dust Explosions: Sizing of Vents, Dust Explosion, Estimation of Concentration
Lecture 5: Sensor-FA07: Lecture 9: Habitat monitoring
Lecture 4: The digital abstraction
Lecture 4: Hadoop MapReduce Tutorial | Hadoop Tutorial for Beginners 2 | Big Data tutorial 2 |Big Data |Hadoop
Lecture 28: Weighted Graphs
Lecture 3: Linear Predictive Coding (LPC) - Professor E. Ambikairajah
Keyboarding
Lecture 1: Beginner JavaScript Tutorial - 1 - Introduction to JavaScript
Lecture 24: Nanoscale Magnetic Imaging - Given by Dr. Peter Fisher - CXRO/LBNL
Lecture 24: SAP ASAP Methodology
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