MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 5.08 GB | Duration: 6h 33m
What you’ll learn
Proof Techniques. Mathematical Induction and Recursion Theory.
Mathematical Logic. Propositional and First Order Calculus. Godel Theorem.
Programs verifications and Model Checking
Linear Algebra. Matrix Theory in Computer Science.
Boolean Algebra and its applications in Digital Electronics.
Lambda Calculus as a Foundation of Functional Programming
Number Theory and Encryption.
Modern Statistics and Probabilistic Methods in Computer Science.
Functional Analysis and the efficiency of computer algorithms Decision Theory
Requirements
Desire to Learn Mathematics for Programming
Interested in Computer Science Field
Basic High School Mathematics
Description
This course covers all Mathematics needed to become Software Developer. Here we will discuss Linear Algebra, Modern Analysis, Mathematical Logic, Number Theory and Discrete Mathematics. By the end of this course you will be able to analyze and describe computer science concepts and methods. This course is a great opportunity for you to gain deep understanding of all processes a executed in the computer system when programming. The specific objectives of the course are the following:
Learn how to apply proof techniques to your computer program.
Learn encrypting and decrypting messages with Number Theory.
Learn how the software development is related to Discrete Mathematics and Digital Electronics.
Understand how to use mathematical tools to properly analyze any computer algorithm.
Learn how to apply Calculus, Probability Theory and Linear Algebra while computing.
Understand how to apply Lambda Calculus to Functional Programming.
Who this course is for:
Beginner Java Developers
Beginner Python Developers
Beginner C & C++ Developers
Computer Science Students
Engineering Students
Employees in Programming Companies
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