[FCN] Udemy - Computer Science 101 Master the Theory Behind Programming

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[FreeCourseNet.cc] Udemy - Computer Science 101 Master the Theory Behind Programming
  • Bonus Visit Now!.url (0.1 KB)
    • 2. Analyzing Algorithms
    • 1. All Notes.html (0.1 KB)
    • 12. Big O Notation Quiz.html (0.2 KB)
    • 2. Introduction to Time-Complexity.vtt (2.9 KB)
    • 5. Math Refresher Algebraic Expressions.vtt (3.5 KB)
    • 4. Math Refresher Factorial Functions.vtt (4.1 KB)
    • 6. Math Refresher Notes.html (4.5 KB)
    • 9. n-notation Example.vtt (5.7 KB)
    • 11. n-Notation Notes.html (7.8 KB)
    • 13. Big O Real-World Example.vtt (13.0 KB)
    • 7. n-notation Introduction.vtt (13.1 KB)
    • 3. Math Refresher Logarithmic Functions.vtt (15.3 KB)
    • 8. n-notation Scaling.vtt (16.2 KB)
    • 10. Big O Notation.vtt (16.9 KB)
    • 1.1 All Notes.pdf.pdf (1.9 MB)
    • 2. Introduction to Time-Complexity.mp4 (3.6 MB)
    • 5. Math Refresher Algebraic Expressions.mp4 (10.1 MB)
    • 4. Math Refresher Factorial Functions.mp4 (11.6 MB)
    • 13. Big O Real-World Example.mp4 (16.6 MB)
    • 10. Big O Notation.mp4 (22.6 MB)
    • 9. n-notation Example.mp4 (25.8 MB)
    • 7. n-notation Introduction.mp4 (35.9 MB)
    • 3. Math Refresher Logarithmic Functions.mp4 (49.3 MB)
    • 8. n-notation Scaling.mp4 (78.2 MB)
    3. Arrays
    • 12. Array Quiz.html (0.2 KB)
    • 5. Fixed Array Notes.html (3.3 KB)
    • 9. Circular and Dynamic Array Notes.html (5.4 KB)
    • 2. Fixed Array Introduction.vtt (7.2 KB)
    • 11. Array Real World Examples.vtt (8.2 KB)
    • 10. Array Review.vtt (9.9 KB)
    • 1. How is Data Stored.vtt (10.8 KB)
    • 6. Circular Arrays.vtt (11.1 KB)
    • 4. Binary Search Algorithm (Fixed Array Sorted Search).vtt (13.2 KB)
    • 8. O(1) Approximation.vtt (14.6 KB)
    • 3. Fixed Array Run Times.vtt (17.0 KB)
    • 7. Dynamic Arrays.vtt (20.3 KB)
    • 10. Array Review.mp4 (13.8 MB)
    • 6. Circular Arrays.mp4 (14.1 MB)
    • 1. How is Data Stored.mp4 (14.3 MB)
    • 2. Fixed Array Introduction.mp4 (19.5 MB)
    • 11. Array Real World Examples.mp4 (23.9 MB)
    • 7. Dynamic Arrays.mp4 (27.2 MB)
    • 4. Binary Search Algorithm (Fixed Array Sorted Search).mp4 (54.8 MB)
    • 8. O(1) Approximation.mp4 (64.2 MB)
    • 3. Fixed Array Run Times.mp4 (69.9 MB)
    1. Introduction
    • 5. Binary Number System Quiz.html (0.2 KB)
    • 1. Introduction.vtt (1.9 KB)
    • 4. Binary Number System Notes.html (6.4 KB)
    • 3. Binary Deca Number Conversion.vtt (10.5 KB)
    • 2. Binary Number Introduction.vtt (16.0 KB)
    • 1. Introduction.mp4 (10.2 MB)
    • 3. Binary Deca Number Conversion.mp4 (27.0 MB)
    • 2. Binary Number Introduction.mp4 (39.5 MB)
    4. Linked Lists
    • 10. Linked Lists.html (0.2 KB)
    • 4. Singly-Linked List Notes.html (4.0 KB)
    • 8. Linked List Real World Examples.vtt (4.5 KB)
    • 7. Doubly-Linked List and Tail Pointer Notes.html (4.8 KB)
    • 9. Linked List Review.vtt (4.9 KB)
    • 1. Nodes.vtt (5.5 KB)
    • 6. Tail Pointers.vtt (7.1 KB)
    • 5. Doubly Linked Lists.vtt (10.3 KB)
    • 3. Linked List Run Times.vtt (19.0 KB)
    • 8. Linked List Real World Examples.mp4 (4.5 MB)
    • 9. Linked List Review.mp4 (6.3 MB)
    • 1. Nodes.mp4 (7.0 MB)
    • 6. Tail Pointers.mp4 (9.5 MB)
    • 5. Doubly Linked Lists.mp4 (14.6 MB)
    • 2. Singly Linked List.mp4 (23.8 MB)
    • 2. Singly Linked List.vtt (23.9 MB)
    • 3. Linked List Run Times.mp4 (27.2 MB)
    6. Sorting Algorithms
    • 12. Insertion Sort and Quick Sort Quiz.html (0.2 KB)
    • 6. Bubble Sort and Selection Sort Quiz.html (0.2 KB)
    • 18. Merge Sort and Stability Quiz.html (0.2 KB)
    • 1. Introduction to Sorting Algorithms.vtt (1.9 KB)
    • 15. Merge Sort Notes.html (2.7 KB)
    • 3. Bubble Sort Notes.html (3.2 KB)
    • 8. Insertion Sort Notes.html (3.3 KB)
    • 11. Quick Sort Notes.html (3.5 KB)
    • 5. Selection Sort Notes.html (3.7 KB)
    • 17. Stable Vs NonStable Notes.html (4.3 KB)
    • 19. Sorting Algorithm Real World Examples.vtt (5.7 KB)
    • 16. Stable vs NonStable.vtt (7.6 KB)
    • 14. Merge Sort Run Times.vtt (9.5 KB)
    • 7. Insertion Sort.vtt (11.8 KB)
    • 2. Bubble Sort.vtt (13.2 KB)
    • 4. Selection Sort.vtt (13.4 KB)
    • 10. Quick Sort Run Time.vtt (13.8 KB)
    • 13. Merge Sort.vtt (15.8 KB)
    • 9. Quick Sort.vtt (19.1 KB)
    • 1. Introduction to Sorting Algorithms.mp4 (2.8 MB)
    • 16. Stable vs NonStable.mp4 (11.4 MB)
    • 14. Merge Sort Run Times.mp4 (14.0 MB)
    • 7. Insertion Sort.mp4 (16.6 MB)
    • 4. Selection Sort.mp4 (18.0 MB)
    • 19. Sorting Algorithm Real World Examples.mp4 (19.0 MB)
    • 2. Bubble Sort.mp4 (19.4 MB)
    • 10. Quick Sort Run Time.mp4 (19.9 MB)
    • 13. Merge Sort.mp4 (22.0 MB)
    • 9. Quick Sort.mp4 (29.2 MB)
    5. Stacks and Queues
    • 9. Stacks and Queues Quiz.html (0.2 KB)
    • 6. Queue Notes.html (3.4 KB)
    • 3. Stack Notes.html (3.5 KB)
    • 7. Queue and Stack Run Times.vtt (7.4 KB)
    • 10. Stacks and Queues Quiz Explanation.vtt (7.9 KB)
    • 8. Stack and Queue Real World Examples.vtt (10.4 KB)
    • 4. Queues.vtt (11.9 KB)
    • 5. Queue Examples.vtt (12.0 KB)
    • 1. Stacks.vtt (12.6 KB)
    • 2. Stack Examples.vtt (13.9 KB)
    • 10. Stacks and Queues Quiz Explanation.mp4 (8.4 MB)
    • 8. Stack and Queue Real World Examples.mp4 (8.6 MB)
    • 7. Queue and Stack Run Times.mp4 (10.4 MB)
    • 4. Queues.mp4 (15.0 MB)
    • 1. Stacks.mp4 (16.5 MB)

Description

Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer.


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 course 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 apart 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!

Enroll Now and 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!
My Guarantee



I am so confident you will enjoy this course, I offer a 100% 30-day money-back guarantee through Udemy. If you are not happy with your purchase, I have no problem with giving your money back!

Are You Ready to Get Started?

I will be waiting for you inside the course!



Remember, this is an online course, so you can take it at your own pace. Are you busy right now? That’s okay. Enroll today, and take the course at your own pace.

Thanks so much for your interest in this Computer Science 101 Course!



See you inside!

Kurt



Who this course is for:
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
Created by Kurt Anderson
Last updated 5/2019
English
English [Auto-generated]

Size: 1.43 GB

For more visit -FreeCourseNet

==Team FreeCourseNet.cc



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[FCN] Udemy - Computer Science 101 Master the Theory Behind Programming

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1.4 GB
seeders:19
leechers:12
[FCN] Udemy - Computer Science 101 Master the Theory Behind Programming

Torrent hash: 36DFE1EA409033456BDA4459D232D6835528D9BA