What is discrete mathematics?

Discrete mathematics refers to a group of mathematics branches that deal with discrete objects instead of continuous objects. In discrete mathematics, objects have distinct, separate values represented by integers, unlike real numbers used in continuous mathematics. Discrete mathematics includes combinatorics, set theory, graph theory, number theory, and probability. It is integral to computer science and plays a role in the field of data science.

Why learn discrete mathematics?

You may consider learning discrete mathematics if you want to study computer science or work in a data science field. Discrete mathematics is a foundation of computer science, and programmers often use principles of set theory, probability, and combinations to analyze algorithms when writing programs and applications. Learning discrete mathematics can also help boost other useful skills like logic, reasoning, and problem-solving, making you a more marketable job candidate.

What are typical careers that use discrete mathematics?

Typical careers that use discrete mathematics are in the computer science field, such as software development, programming, and cryptography. Data scientists and data analysts may use their knowledge of discrete mathematics in their work. Other careers that can incorporate discrete mathematics include electrical and mechanical engineers in addition to data analysts, business analysts, and market researchers. Discrete mathematics also influences the work of urban planners, epidemiologists, and social scientists who collect and analyze large amounts of data.

How can online courses help me learn discrete mathematics?

Online courses can introduce you to core concepts of discrete mathematics, such as sets, relations, and functions. Lessons include topics like partial orders, enumerative combinatorics, and the binomial coefficient, and you have opportunities to apply the concepts to real-world applications. You may choose courses that cover specific subjects like graph theory or probability to increase your knowledge of these disciplines. Alternatively, you may decide to take courses that explore the application of discrete mathematics in specific fields like data science, computer science, or machine learning.

What are the benefits of taking an online Discrete Mathematics course?

Online Discrete Mathematics courses offer a convenient and flexible way to enhance your knowledge or learn new Discrete Mathematics skills. Choose from a wide range of Discrete Mathematics courses offered by top universities and industry leaders tailored to various skill levels.

What Discrete Mathematics courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Discrete Math, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

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Explore the Discrete Mathematics Course Catalog

Universidad Nacional de Colombia
Más que química
Skills you'll gain: Chemistry, Systems Of Measurement, Chemical Engineering, Biochemistry, Physical Science, Applied Mathematics, General Science and Research, Scientific Methods, Engineering
4.9
Rating, 4.9 out of 5 stars
74 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Implementación de Actividades PhET para la Educación STEM
Skills you'll gain: Education Software and Technology, Mathematics Education, Simulations, User Feedback
4.9
Rating, 4.9 out of 5 stars
72 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
50 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Arizona State University
Random Models, Nested and Split-plot Designs
Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Design of High-Performance Optical Systems
Skills you'll gain: Display Devices, Electrical Engineering, Systems Design, Computer Displays, Human Factors, Engineering Calculations, Technical Design, Image Analysis, Simulation and Simulation Software, Mathematical Modeling, Applied Mathematics, Engineering Design Process
4.6
Rating, 4.6 out of 5 stars
49 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Data Science Methods for Quality Improvement
Skills you'll gain: Process Capability, Statistical Inference, Correlation Analysis, Probability Distribution, Statistical Analysis, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Statistical Process Controls, Statistics, Data Visualization, Probability & Statistics, Statistical Hypothesis Testing, Data Analysis, Scientific Visualization, Systems Analysis, Data Literacy, Data Analysis Software, R Programming, Quality Control
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
49 reviews
Intermediate · Specialization · 3 - 6 Months
EIT Digital
Quantitative Formal Modeling and Worst-Case Performance Analysis
Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Network Model, Embedded Systems, Graph Theory
4.4
Rating, 4.4 out of 5 stars
44 reviews
Mixed · Course · 1 - 3 Months
Universidad de los Andes
Introducción al análisis de sistemas de control con MATLAB
Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra
4.8
Rating, 4.8 out of 5 stars
48 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Implementation of PhET Activities for STEM Education
Skills you'll gain: Mathematics Education, Simulations, User Feedback, Experimentation, Technical Documentation
4.9
Rating, 4.9 out of 5 stars
20 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
L&T EduTech
Design of Transmission Line: Modelling and Performance
Skills you'll gain: Applied Mathematics, Mathematical Modeling, Matlab, High Voltage, Three-Phase, Electrical Engineering, Simulation and Simulation Software, Electric Power Systems, Engineering Calculations, Electrical Power, Environmental Science, Environmental Engineering
4.6
Rating, 4.6 out of 5 stars
28 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
The Hong Kong University of Science and Technology
Calculus for Engineers
Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Mécanique : Solide Indéformable
Skills you'll gain: Torque (Physics), Mechanics, Engineering Analysis, Engineering Calculations, Vibrations, Applied Mathematics, Physics, Mathematical Modeling
4.8
Rating, 4.8 out of 5 stars
34 reviews
Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular discrete mathematics courses

Más que química: Universidad Nacional de Colombia
Implementación de Actividades PhET para la Educación STEM: University of Colorado Boulder
Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
Random Models, Nested and Split-plot Designs: Arizona State University
Design of High-Performance Optical Systems: University of Colorado Boulder
Data Science Methods for Quality Improvement: University of Colorado Boulder
Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
Implementation of PhET Activities for STEM Education: University of Colorado Boulder
Design of Transmission Line: Modelling and Performance: L&T EduTech

Discrete Mathematics Courses Online