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
- High Performance Computing by IISc Bangalore
- Oracle Databae by Other
- Real Time Systems by IIT Kharagpur
- Introduction to Artificial Intelligence,Fall 2011 by UC Berkeley
- Theory of Computation I by IIT Madras
- CSEP 548 Computer Architecture by University of Washington
- Performance Evaluation of Computer Systems by IIT Madras
- Digital Systems Design by IIT Kharagpur
- Computer Science III: Programming Paradigms by Stanford
- Advanced Topics in Software Systems by University of Washington
» check out the complete list of Computer Science Video lectures
Computer Science Lecture Notes
- Information Retrieval by University of Massachusetts
- Pixels, Numbers, and Programs by University of Washington
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- CS368: Java for C++ Programmers by University of Wisconsin
- CS345 Data Mining and Clustering by Stanford
- CSE 373/548: Analysis of Algorithms by Stony Brook University
- Introduction to Java Development by N/A
- CPS 140 Computer Science by Duke University
- Software Engineering and Security by Athens University of Economics and Business