Udemy – Advanced Math for Computer Science Mastery 2023-10

Advanced Math for Computer Science Mastery course. This comprehensive course thoroughly covers the essential mathematical fundamentals for aspiring software developers. In this course, various mathematical concepts such as linear algebra, modern analysis, mathematical logic, number theory and discrete mathematics are examined. After completing this course, you will acquire the necessary skills to review and clarify the principles and techniques of computer science. This course offers an exceptional opportunity to gain an in-depth understanding of the complex operation of computer systems while programming.

What you will learn in the Advanced Math for Computer Science Mastery course:

• Explore fundamental proof techniques such as mathematical induction and recursion theorems for proving the truth of mathematical statements.
• Delve deeply into mathematical logic including propositional and first-order calculus and gain insight into the model theorem.
• Understand the basic principles of program verification and model checking to ensure the correctness and reliability of computer programs.
• Explore the importance of linear algebra and matrix theory in computer science and provide powerful tools for a variety of applications.
• Explore Boolean algebra and its practical applications in digital electronics, which play a central role in digital circuit design.
• Explore the lambda calculus as a fundamental concept in functional programming that enables the creation of elegant and efficient software solutions.
• Explore the world of number theory and its vital role in encryption methods and protect sensitive information in the digital age.
• Understand modern statistics and probabilistic methods in computer science that provide powerful tools for data analysis, machine learning, and decision making.
• Gain a deep understanding of functional analysis and its relationship to the efficiency of computer algorithms and optimize computational processes.
• Apply decision theory to make informed decisions and maximize the benefits of computer systems and programs.

Who is this course suitable for?

• Computer science enthusiasts
• Aspiring programmers
• Mathematics enthusiasts
• Students

Advanced Math for Computer Science Mastery course specifications

• Publisher:  Udemy
• Lecturer:  Stefan Toshkov Zhelyazkov
• Training level: beginner to advanced
• Training duration: 7 hours and 8 minutes
• Number of courses: 51

Course headings

Advanced Math for Computer Science Mastery course prerequisites

• Basic Computer Skills
• Mathematics Fundamentals
• Desire to learn

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 531 MB

File(s) password: www.downloadly.ir

Size

2.5 GB