The Complete Mathematics Software Developer Course for 2022
What you'll learn
- Proof Techniques. Mathematical Induction and Recursion Theory.
- Mathematical Logic. Propositional and First Order Calculus. Model 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.
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic – do not vary smoothly in this way, but have distinct, separated values.Discrete mathematics therefore excludes topics in "continuous mathematics" such as calculus or Euclidean geometry. Discrete objects can often be enumerated by integers. More formally, discrete mathematics has been characterized as the branch of mathematics dealing with countable sets (finite sets or sets with the same cardinality as the natural numbers). However, there is no exact definition of the term "discrete mathematics." Indeed, discrete mathematics is described less by what is included than by what is excluded: continuously varying quantities and related notions.
Who this course is for:
- Beginner Java Developers
- Beginner Python Developers
- Beginner C & C++ Developers
- Computer Science Students
- Engineering Students
- Employees in Programming Companies
Instructors
![Martin Yanev](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 2,510 Reviews
- 223,791 Students
- 21 Courses
My name is Martin Yanev I am internationally acclaimed Aerospace Software Engineer.
I have a Bachelor Degree in Aeronautical Engineering and a Master Degree in Aerospace Dynamics. I am Associate member of the Royal Aeronautical Society in the United Kingdom. I am ISTQB certified with solid experience in systems test/integration.
I have gained my solid programming skills in the last 7 years by developing and testing complex software algorithms for Aerospace applications. I am currently involved in the Single European Sky Project that aims to increase the European airspace capacity by applying cutting edge Air Traffic Management Systems.
Feel free to contact me on any topic related to Computer Science and Aerospace Engineering as I am truly interested in this fields.
I hope you enjoy my courses and improve your career development with them.
- 4.2 Instructor Rating
- 2,335 Reviews
- 221,753 Students
- 14 Courses