Online Training Software Engineering : Master Software Engineering in C# by Udemy

Get yourself trained on Software Engineering : with this Online Training Software Engineering : Master Software Engineering in C#.

Online Training Software Engineering : Master Software Engineering in C#

In order to create Efficient Algorithms, you must start from bottom. Learn the important concepts of problem solving and Software engineering. And then use the knowledge you gain to create your own algorithms. Algorithms are essential part of computer science and programing. Every program is executing some Algorithm. So it is important to know how to create efficient algorithms.I think every programmerexpierienced null pointer exceptionor something like that. These errors are not created by “not knowing the programming language” but they are created because the algorithmis incorrect. So what do you think is more important, Algorithms or programming language ?By learning Software engineering concepts. You will be able to create algorithms. Ofcourse it takes also practice, but learning software engineering is first stepto better algorithms and better analythic thinking.In this course I will go through Software engineering( algorithms and data structures, problem solving)In Sorting Algorithms section you will learn:Selection SortBubble SortRecursionMerge SortQuick SortIn Data Structures section you will learn:What is Data StructureBinary Search TreeAVL treeLinked ListTrieHash TableIn Problem Solving section you will learn:Divide and ConquerDynamic programmingGreedy AproachBacktrackingAnd I will explin these techniques on:0-1 Knapsack problemKruskal’s algorithmsSo do you want to learn software engineering ?

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Investing in yourself through Learning

As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.

And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.

Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.