[Free] Data Structures And Algorithms For Computer Science
Create any algorithms from a foundational pattern – Free Course
What you’ll learn
- How to compose Algorithms
- Problem slove
- Decompose and Recompose Problems
- Solve any Algorithms through Blocks and Closures
Requirements
- You must be familiar with functional programming and know one programming language
Description
You willl learn how to compose Algorithms, Problem slove, Decompose and Recompose Problems, Solve any Algorithms through Blocks and Closures. 40% of Computer Science students dropout. Knowing algorithms will give you success. The course takes a differrent approach to by giving you one concept that works all the time.It slipt algorithms into smaller parts and those into smaller parts. You solve each small part. The parts are turned into blocks. Block can be inside blocks. How the blocks (closure) interact determine the answer to your problem/ algorithm.
Time and space complexility with be breifly covered from attributed external references.
You will learn basic algorithms like linear search, bubble sort, recursion and merge sort. Showing where some have blocks and closures.
Again with this concept/template using that one algorithm as an example you will be able to solve most problems turn them into computable algorithms where you can get results. 40% of Computer Science students dropout. Algorithms are simple if you break them into parts and have a simple foundation which we will give you. Take the course computer science is a rewarding and actually fun career. Success is in you grasp. Achieve success today! Computer scientists can do careers in game development, cloud computing, AI, Robotics, Data Science, App Development, Cyber security etc. Author(s): Jonathan Sadler
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