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B.C.A. Computer Application
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Lecture 7: Data Path Controller : Micro Programmed I
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Google Docs
Lecture 12: Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation
Lecture 17: Case Study: Searching for Patterns
Lecture 14
Lecture 18: Application of Myhill-Nerode theorem. DFA minimization
Browsers
Lecture 15: Demo on Hadoop Installation
Lecture 29: Graphs-I
Lecture 39: Active Set Method (contd)
Lecture 30: Equalization and Diversity Techniques - 2
Lecture 2: BDD, TDD, and all that
Lecture 9: Beginner JavaScript Tutorial - 9 - The return Statement
Lecture 35: Beginner JavaScript Tutorial - 35 - Associative Arrays
Lecture 31: Ruby Programming Tutorial - 31 - Hashes
HTML
Lecture 10: Part of Speech Tagging
Lecture 31: Minimum Spanning Trees
Lecture 3: Dijkstra_Algo
Lecture 28: Colour Image Processing - III
Organizing Files
Lecture 20: Ruby Programming Tutorial - 20 - Constants
Lecture 17: Vector Space Treatment to Random Variables - I
Lecture 32: Equalization and Diversity Techniques - 4
Lecture 19
Lecture 11: Beginner JavaScript Tutorial - 11 - Global & Local Variables
Lecture 1: Pygame (Python Game Development) Tutorial - 1 - Introduction
Lecture 6: Android Development Tutorial 3
Lecture 22
Lecture 26: Pumping lemma for cfls. Adversarial paradigm
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