SEE: Guide to Download NPTEL Video Lecture
Lecture Details :
Computer Algorithms - 2 by Prof. Shashank K. Mehta, Department of Computer Science Engineering, IIT Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Course Description :
This course assumes the knowledge of data-structures.
It also assumes the knowledge big-O notation and the concept of time and space complexity of an algorithm.
The course also will not introduce divide and conquer, dynamic programming, and greedy paradigms.
The course will discuss eff cient algorithms from a large number of domains.
Contents :
Graph algorithm: search algorithms, computation of strongly connected components, shortest distance algorithms, minimum spanning tree algorithms.
Network-flow algorithm: Ford-Fulkerson method; pref ow-push algorithm;
Geometric algorithm: convex-hull computation, line-segment intersection computation, closest-pair computation;
String matching: Rabin Karp algorithm, Knuth-Morris-Pratt algorithm, Boyer-Moore algorithm;
Matrix algorithms: Strassen’s multiplication algorithm, LU decomposition, inverse computation; Polynomial computation algorithms: multiplication using DFT, division;
Number theoretic algorithms: division, solution of modular linear equation, primality testing.
Other Resources :
Syllabus | Citation |
Other Computer Science Courses
- Computer System Engineering by MIT
- High Performance Computer Architecture by IIT Kharagpur
- Computer Graphics by IIT Madras
- Multimedia in Design Presentation by The University of New South Wales
- Ruby Programming by Other
- C++ Programming by Other
- C# Beginners by Other
- Artificial Intelligence I by Other
- C Programming and Data Structures by IIT Kharagpur
- Human-Computer Interaction Seminar (2009-2010) by Stanford
» check out the complete list of Computer Science Video lectures
Computer Science Lecture Notes
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- CSE 373/548: Analysis of Algorithms by Stony Brook University
- Information Retrieval by University of Massachusetts
- CPS 140 Computer Science by Duke University
- Introduction to Java Development by N/A
- CS345 Data Mining and Clustering by Stanford
- CS368: Java for C++ Programmers by University of Wisconsin
- Pixels, Numbers, and Programs by University of Washington
- Software Engineering and Security by Athens University of Economics and Business