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Algorithms

Instructor:

Mr. Setu Maheshwari
Beginner

Level

60.0 Hrs

Learning hours

17K+
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Learners

Skills you will learn

About this Live Course

This Live course will cover all the concepts of Algorithms under the Computer Science/IT/IS branch syllabus for 2nd year. This course is specially designed to help you understand the concepts you need help in. This course will help you in solving numerical, answer questions, understand concepts & help you prepare for internal/exams.


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- Access recording of missed classes
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Class Schedule

Introduction to Algorithms and Asymptotic Notations
Fri, 16 Oct, 5:00 PM IST
1 hr
Computation of Time Complexity
Mon, 19 Oct, 5:00 PM IST
1 hr
Computation of Time Complexity Part 2
Tue, 20 Oct, 5:00 PM IST
1 hr
Computation of Time Complexity Part 3
Wed, 21 Oct, 5:00 PM IST
1 hr
Merge Sort and It's Time Complexity Analysis
Fri, 23 Oct, 3:00 PM IST
1 hr
Quick Sort and It's Time Complexity Analysis
Fri, 23 Oct, 5:00 PM IST
1 hr
Bubble Sort and It's Time Complexity Analysis
Mon, 26 Oct, 5:00 PM IST
1 hr
Selection Sort and It's Time Complexity Analysis
Tue, 27 Oct, 5:00 PM IST
1 hr
Insertion Sort and It's Time Comlexity Analysis
Wed, 28 Oct, 5:00 PM IST
1 hr
Heap Sort and It's Time Complexity Analysis
Mon, 02 Nov, 5:00 PM IST
1 hr
Sorting in Linear Time - Counting Sort, Radix Sort
Tue, 03 Nov, 5:00 PM IST
1 hr
Binary Search Process - Algorithm and Program
Wed, 04 Nov, 5:00 PM IST
1 hr
Greedy Algorithms - Job Sequencing Problem, Knapsack Problem
Thu, 05 Nov, 5:00 PM IST
1 hr
Optimal Merge Pattern, Huffman Coding
Fri, 06 Nov, 5:00 PM IST
1 hr
Minimal Spanning Tree - Prim's and Kruskal's Algorithms
Mon, 09 Nov, 5:00 PM IST
1 hr
Dijkstra Algorithm
Tue, 10 Nov, 5:00 PM IST
1 hr
Travelling Salesman Problem
Wed, 11 Nov, 5:00 PM IST
1 hr
Dynamic Programing Problems - Knapsack 0/1, Longest Common Subsequence
Thu, 12 Nov, 7:30 PM IST
1 hr
Matrix Chain Multiplication
Fri, 13 Nov, 11:00 AM IST
1 hr
Matrix Chain Multiplication -2
Tue, 17 Nov, 5:00 PM IST
1 hr
Graph Based Algorithms - Travsersal Methods (BFS and DFS)
Wed, 18 Nov, 5:00 PM IST
1 hr
Hamiltoneon Path, Euler Path, Graph Coloring
Thu, 19 Nov, 5:00 PM IST
1 hr
NP Completeness
Fri, 20 Nov, 5:00 PM IST
1 hr

Algorithms

60.0 Hrs

Learning hours

Beginner

Level

17K+
local_fire_department

Learners

Trusted by 10 Million+ Learners globally

Our instructor

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Mr. Setu Maheshwari

Faculty for Computer Science Engineering

Computer Science/IT/IS Expert

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156.8K+ Learners
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7 Courses
Setu is currently working with NPIU (M.H.R.D.) and associated with TEQIP-III project. He has been serving in education and teaching for the last 10 years. He has had the experience of teaching in many reputed colleges across the country, having trained thousands of students on different technologies. He has also authored several books for students.

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