Discrete Math Tutor

Are you looking to find a discrete math tutor online? Do you need discrete math for programming? Are you trying to decide how to study it?

We have expert discrete math tutors who have helped students like you learn discrete math. They can also help you ace discrete math exams and homework  with top grades and apply them in real-life applications and professional life.

Our discrete math tutors have guided hundreds of students worldwide with private online math tutoring and also with discrete math tutorials . You can decide the topics and the pace of tutoring with the help of a discrete math tutor at My Engineering Buddy. They will also set the proper ratio of theory to examples and exercises in the discrete math tutorial sessions personalized for you. It will help you understand the subject and apply it for problem-solving optimally.

The discrete mathematics tutors at MEB can help you with the following discrete math help online:

• basic discrete math concepts
• discrete math problem-solving methods
• discrete math homework help
• programming with discrete math
• discrete math quiz and exam preparation

What is discrete math?

Mathematics has two broad categories based on the nature of a collection of numbers and their distribution in a spread.

As the name suggests, discrete mathematics studies distinct values, i.e., numbers, values, or countable instances. For example, the number of outcomes when we roll a die is a known discrete value. Hence, we can get the probability of getting a particular result by applying discrete math methods.

The other category, continuous mathematics, deals with the real numbers or continuous numbers on a number line. The underlying fact is that there is an infinite set of numbers between any two numbers. For example, we plot a graph of a smooth curve without breaks representing a function in continuous mathematics. For more info on Discreet math, check  this page (opens in a new tab).

Is discrete math good for programming?

Discrete Mathematics is the foundation for almost every modern computing and information technology area. Consequently, it has far-reaching applications in programming and computer science.

In computing, bits fundamentally represent all the data in terms of zeroes and ones. Computers modify these bits in complying with the laws of Boolean algebra, which is the basis of all digital circuits. Programs achieve their desired results with the tools of propositional logic that form the basis of their correctness.

Cryptography, blockchain, and computer security programs use number theory for many critical applications. Counting techniques play a huge role in developing quantitative intuition and self-learning computing models. Like all other quantitative fields, concepts of statistics and probability are prevalent in Computer Science. Risk assessment, a vital function of software engineering, is based on probability concepts.

Graphs are a powerful data representation tool to model relationships extract insights from data. For example, popular navigational apps use graph search algorithms to decide the fastest route between two locations. Functional programming, file systems, deep learning, version control, databases, and many more applications in computer science extensively use graphs and graphing techniques rooted in discrete math.

Applications of discrete math

The following streams of software engineering and programming, among many other computing branches, heavily use discrete math:

• Computer Architecture
• Algorithms
• Computer Systems
• Distributed Systems
• Databases
• Machine Learning
• Computer Security
• Functional Programming
• Operating Systems
• Networks

What does discrete math teach?

These are the main discrete math topics:

• Mathematical Logic
• Sets, Relations, and Functions
• Counting Theory
• Group theory
• Mathematical Induction
• Recurrence Relations
• Probability
• Trees
• Graph Theory
• Boolean Algebra

Discrete math textbooks

Here is a list of many useful discrete math books for your reference:

• Practical Discrete Mathematics by Ryan T. White, Archana Tikayat Ray. Publisher – Packt Publishing
• Introductory Discrete Mathematics by V K Balakrishnan. Publisher – Dover Publications
• Discrete Mathematics with Applications by Susanna S. Epp. Publisher – Cengage Learning
• Schaum’s Outline of Discrete Mathematics (Schaum’s Outlines) by Seymour Lipschutz, Marc Lipson. Publisher – McGraw Hill
• Discrete Mathematics by Gary Chartrand, Ping Zhang. Publisher – Waveland Pr Inc
• Discrete Mathematics by Richard Johnsonbaugh. Publisher – Pearson
• A Logical Approach to Discrete Math (Texts and Monographs in Computer Science) by David Gries, Fred B. Schneider. Publisher – Springer
• Discrete Mathematics and Its Applications by Kenneth Rosen. Publisher – McGraw Hill
• Discrete Mathematics – Elementary and Beyond (Undergraduate Texts in Mathematics) by László Lovász, József Pelikán, Katalin Vesztergombi. Publisher – Springer