Algorithm Design and Analysis (Java) Training

Live Online & Classroom Enterprise Training

Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience.

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What is Algorithm Design and Analysis (Java) Training about?

Algorithms that operate on shared data structures, such as sorting and searching, will be covered, as well as advanced design and analysis techniques such as dynamic programming and greedy algorithms; advanced graph algorithms such as minimum spanning trees and shortest paths; NP-completeness theory; and approximation algorithms.

What are the objectives of Algorithm Design and Analysis (Java) Training ?

How to represent data in ways that allow you to access it efficiently in the ways you need to
How to analyse the efficiency of algorithms
How to bootstrap solutions on small inputs into algorithmic solutions on bigger inputs
Solutions to several classic optimisation problems
How to critically analyse whether a locally optimal approach (greedy) can provide a globally optimal solution to a problem

Who is Algorithm Design and Analysis (Java) Training for?

This training is for learning about the core principles of computer science: algorithmic thinking and computational problem-solving.

What are the prerequisites for Algorithm Design and Analysis (Java) Training?

Discrete Mathematics - sets, functions, relations; proofs, and proofs by induction; Boolean logic
Basic Probability
Basic knowledge of Java

Available Training Modes

Live Online Training

32 Hours

Self-Paced Training

32 Hours

Course Outline Expand All

Expand All

Module 1: Mathematical Preliminaries; Asymptotic analysis and recurrence relations; Sorting and Searching; Heaps and Binary Search Trees

Module 2: Algorithm Design Paradigms - Divide-and-Conquer algorithms, Dynamic Programming, Greedy Algorithms

Module 3: Graphs and graph traversals; minimum spanning trees; shortest paths

Module 4: Flows; NP-completeness; Approximation Algorithms

Who is the instructor for this training?

The trainer for this Algorithm Design and Analysis (Java) Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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