Thursday, July 25, 2013

Video Lessons for Computer Science and Engineering Students B.E-ME-B.Tech-M.Tech

By
Providing the best and easy to learn video lessons for the Computer Science and Engineering Students who are studying in MCA/BCA/B.E-ME-B.Tech-M.Tech Course in India. You can watch the all the above courses online from youtube.com.

These courses are specially designed and shoot by IIT  (Indian institute of Technology) for all the students of india who willing to study at IIT.

So, Students now you can learn and learn in easy way from the official tutorial videos of IIT faculties now only. just go to the below mentioned link and get the all the details about the the tutorial videos.

Click here to get all the Video Tutorials of Below Mentioned Topics.

Course Name - Video Lessons for Computer Science and Engineering Students


Artificial Intelligence(Prof.P.Dasgupta)
CAD for VLSI Design II

Computational Geometry
Computer Architecture
Computer Networks
Computer Organization
Design and Analysis of Algorithms

Electronic Design Automation
Logic for CS
Principles of Communication
Programming and Data Structure
Artificial Intelligence

Biometrics
CAD for VLSI Design I

Compiler Design
Computational Number Theory & Cryptography
Computer Algorithms - 2
Computer Graphics
Computer Networks
Computer Organisation and Architecture
Cryptography and Network Security
Data Communication
Data Structures And Algorithms
Data Structures and Program Methodology

Database Design
Design and Analysis of Algorithms
Design Verification and Test of Digital VLSI Circuits

Digital Image Processing
Digital Systems
Discrete Mathematical Structures
Graph Theory
High Performance Computer Architecture
High Performance Computing
Human-Computer Interaction

Indexing and Searching Techniques in Databases
Internet Technology
Introduction to Computer Graphics
Introduction to Database Systems and Design
Introduction to Problem Solving and Programming
Introduction to Problem Solving and Programming
Low Power VLSI Circuits & Systems
Microprocessors and Microcontrollers
Natural Language Processing
Numerical Optimization
Operating Systems
Parallel Computer Architecture
Pattern Recognition
Performance Evaluation of Computer Systems
Principles of Programming Languages
Program Optimization for Multi-core Architectures

Real Time Systems
Software Engineering

System Analysis and Design
Theory of Automata and Formal Languages
Theory of Automata, Formal Languages and Computation
Theory of Computation
VLSI Design Verification and Test

Advanced Computer Graphics
Bioinformatics

Combinatorics
Computer Security and Cryptography - I
Distributed Computing Systems
Game Theory
Introduction to Cognitive Science
Introduction To Optimization
Introduction to Programming
Mobile Computing
Object Computing
Parallel Algorithms

Pattern Recognition

Principles of Compiler Design
Riemann Hypothesis and its Applications
Self-Stabilizing Distributed Algorithms
Software Architecture and Design
Storage Systems
Compiler Design
Computational Complexities
Computer Architecture
Functional Programming
Mobile Computing
Parallel Algorythm
Parallel Computing

0 comments:

Post a Comment

Powered by Blogger.