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.

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University of London
Bachelor of Science in Computer Science
Habilidades que obtendrás: Computer Programming, Theoretical Computer Science, Web Development, Mathematics, Algorithms, Data Management, Databases, C Programming Language Family, C++ Programming, Javascript, Software Engineering, Programming Principles, Statistical Programming, Computer Architecture, Data Structures, Mathematical Theory & Analysis, Operating Systems, SQL, Computer Graphics, Machine Learning, Probability & Statistics, Computational Logic, Software Testing, Computer Networking, Human Computer Interaction, Security Engineering, Data Analysis, Python Programming, Agile Software Development, Network Architecture, Network Security, Regression, Database Theory, Mobile Development, Software Architecture, Software Security, System Security, Algebra, Full-Stack Web Development, General Statistics, HTML and CSS, Interactive Design, Linear Algebra, Network Model, Other Programming Languages, Probability Distribution, User Experience, Web Design, Design and Product, Product Design, Deep Learning, Data Visualization, Artificial Neural Networks, Back-End Web Development, Business Psychology, Calculus, Cloud Computing, Cloud Storage, Combinatorics, Computational Thinking, Computer Programming Tools, Database Design, Front-End Web Development, Graph Theory, Leadership and Management, Microarchitecture, Natural Language Processing, Professional Development, Research and Design, System Programming, User Experience Design, Internet Of Things, Journalism, Software Engineering Tools
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Johns Hopkins University
Mathematical Biostatistics Boot Camp 2
Habilidades que obtendrás: General Statistics, Probability & Statistics, Basic Descriptive Statistics, Bayesian Statistics, Biostatistics, Experiment, Probability Distribution, Statistical Tests, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Regression, Statistical Analysis
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University of Amsterdam
Data Analytics for Lean Six Sigma
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En síntesis, estos son los 10 cursos más populares discrete mathematics

Data Mining for Smart Cities: Indian Institute of Technology Roorkee
Bachelor of Science in Computer Science: University of London
Measurement Systems Analysis: University of Colorado Boulder
Stability and Capability in Quality Improvement: University of Colorado Boulder
Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
Pricing Options with Mathematical Models: Caltech
Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
Basic Modeling for Discrete Optimization: The University of Melbourne
Understanding Clinical Research: Behind the Statistics: University of Cape Town

Habilidades que puedes aprender en Probability And Statistics

Programación R (19)

Inferencia (16)

Regresión Lineal (12)

Análisis Estadístico (12)

Inferencia Estadística (11)

Análisis De La Regresión (10)

Bioestadística (9)

Bayesiana (7)

Regresión Logística (7)

Distribución De Probabilidad (7)

Estadística Bayesiana (6)

Estadísticas Médicas (6)

Preguntas frecuentes sobre 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.‎
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. ‎
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.‎
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.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.