Computer Science 101: Master the Theory Behind Programming

BESTSELLER | Video: AVC 1280×720 | Audio: AAC 48KHz 2ch | Duration: 9 Hours | Lec: 80 | 1.40 GB | Genre: eLearning | Language: English | Sub: English

What you’ll learn
Understand the Fundamental Theories of Algorithm Analysis
Be able to Compare Various Algorithms
Understand When to use Different Data Structures and Algorithms
Understand the Fundamentals of Computer Science theory
Understand the Core Sorting Algorithms

Requirements
A Willingness to Learn New Topics!
No Prior Experience or Knowledge is Needed!

Description
Master the Theory to Becoming a Good Programmer!

If you’re looking to learn the theory that makes great programmers, you’ve come to the right place! This is perfect for anyone interested in learning the fundamentals to Computer Science Theory.

No Previous Experience Necessary!

Computer science and technology are often thought of as things only for “analytical minds”. I believe however that technology and it’s theory are for everyone. So I designed this course to teach each topic in a variety of easy to digest ways. Through these multiple reinforcing steps, I believe anyone can follow along and succeed!

Why is the Theory of Programming Important?

Understanding Computer Science theory is what sets apar Great programmers from average ones. Programming theory is something that transcends a single programming language. It gives you skills and techniques you can apply to any programming language you touch. Learning the theory behind programming is just as important, if not more important than learning a singular programming language like Java or C++.

Programming is all about problem solving. Analyzing a problem, and being able to figure out a way that a computer can help with that problem. Computer Science is the practice of this analysis process. It goes over the techniques and knowledge necessary to design efficient and sustainable code.

So if you want to begin setting yourself apart from the average programmers, this is the course for you!

you’ll Learn:

Binary Number System
N Notation
Big O Notation
How to Analyze a Program
Arrays and their Advantages
Nodes and their Importance
Linked Lists and their Advantages and Implementations
Stacks implemented with Arrays and Linked Lists
Queues Implemented with Arrays and Linked Lists
Various Sorting Algorithms and Their Comparisions
Trees and Binary Search Trees
And Much Much More!

Who is the target audience?
Anyone who wants to become a Good Programmer
Anyone interested in the Computer Science Discipline
Anyone who wants to learn how to problem solve like a Computer Scientist

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