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    • Discrete Mathematics

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    134 Ergebnisse für „discrete mathematics“

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      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Kompetenzen, die Sie erwerben: Mathematics, Graph Theory, Computer Science, Computer Programming, Python Programming, Statistical Programming, Data Science, Algebra, Theoretical Computer Science, Probability & Statistics, Algorithms, Calculus, Combinatorics, Data Analysis, Statistical Analysis, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Statistics, Computational Thinking, Geometry, Applied Mathematics, Correlation And Dependence, Estimation, Probability Distribution, Computational Logic, Business Analysis, Communication, Computer Architecture, Critical Thinking, Cryptography, Data Visualization, Entrepreneurship, Leadership and Management, Machine Learning, Markov Model, Microarchitecture, Problem Solving, Research and Design, Scientific Visualization, Security Engineering, Statistical Visualization, Strategy and Operations

      4.5

      (3.3k Bewertungen)

      Beginner · Specialization · 3-6 Months

    • Kostenlos

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      Shanghai Jiao Tong University

      Discrete Mathematics

      Kompetenzen, die Sie erwerben: Computational Logic, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      3.3

      (163 Bewertungen)

      Intermediate · Course · 1-3 Months

    • Kostenlos

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      Peking University

      离散数学概论 Discrete Mathematics Generality

      Kompetenzen, die Sie erwerben: Mathematics, Mathematical Theory & Analysis, Computational Logic, Theoretical Computer Science

      4.7

      (268 Bewertungen)

      Beginner · Course · 3-6 Months

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      University of California San Diego

      Mathematical Thinking in Computer Science

      Kompetenzen, die Sie erwerben: Mathematics, Algebra, Geometry, Algorithms, Applied Mathematics, Computational Thinking, Theoretical Computer Science, Computational Logic, Business Analysis, Computer Programming, Critical Thinking, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Programming Principles, Python Programming, Research and Design, Statistical Programming, Strategy and Operations

      4.4

      (2.1k Bewertungen)

      Beginner · Course · 1-3 Months

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Kompetenzen, die Sie erwerben: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (254 Bewertungen)

      Beginner · Specialization · 1-3 Months

    • Kostenlos

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      Stanford University

      Introduction to Statistics

      Kompetenzen, die Sie erwerben: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k Bewertungen)

      Beginner · Course · 1-3 Months

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      Kostenlos

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      University of Pennsylvania

      Single Variable Calculus

      Kompetenzen, die Sie erwerben: Calculus, Mathematics, Mathematical Theory & Analysis, Graph Theory

      4.6

      (296 Bewertungen)

      Mixed · Course · 1-3 Months

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      Imperial College London

      Mathematics for Machine Learning: PCA

      Kompetenzen, die Sie erwerben: Mathematics, Algebra, Linear Algebra, Machine Learning, Computer Programming, General Statistics, Probability & Statistics, Python Programming, Statistical Programming, Dimensionality Reduction, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Regression, Computer Graphic Techniques, Computer Graphics, Experiment, Mathematical Theory & Analysis

      4.0

      (2.9k Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Kostenlos

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      The University of Melbourne

      Basic Modeling for Discrete Optimization

      Kompetenzen, die Sie erwerben: Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Theoretical Computer Science, Algorithms, Operations Research, Strategy and Operations

      4.8

      (419 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Kostenlos

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      Shanghai Jiao Tong University

      离散数学

      4.4

      (28 Bewertungen)

      Beginner · Course · 1-3 Months

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      University of Pennsylvania

      Master of Computer and Information Technology

      Kompetenzen, die Sie erwerben: Theoretical Computer Science, Computer Programming, Databases, Data Management, Mathematics, Data Structures, Java Programming, Mobile Development, Statistical Programming, Algorithms, Operating Systems, Python Programming, Probability & Statistics, Graph Theory, Software Engineering, Mathematical Theory & Analysis, General Statistics, SQL, Design and Product, Product Design, Software Architecture, Combinatorics, System Programming, Probability Distribution, Software Testing, Agile Software Development, Computer Graphic Techniques, Computer Graphics, Software Framework, Operations Research, Research and Design, Strategy and Operations, Data Visualization, Database Design, Linear Algebra, Programming Principles, Statistical Machine Learning, Computer Networking, Network Architecture, Computer Architecture, Bayesian Statistics, Correlation And Dependence, Data Analysis, Database Theory, Dimensionality Reduction, Estimation, Machine Learning Algorithms, Regression, Software Engineering Tools, Advertising, Algebra, Application Development, BlockChain, Communication, Cryptography, Finance, Human Computer Interaction, Javascript, Journalism, Marketing, Security Engineering, Web Development

      Erwerben Sie ein Zertifikat

      Degree · 1-4 Years

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      University of Colorado System

      Asymmetric Cryptography and Key Management

      Kompetenzen, die Sie erwerben: Cryptography, Security Engineering, Theoretical Computer Science, Algorithms, Applied Mathematics, Mathematics, Computational Logic

      4.7

      (243 Bewertungen)

      Intermediate · Course · 1-4 Weeks

    Suchanfragen mit Bezug zu discrete mathematics

    introduction to discrete mathematics for computer science
    离散数学概论 discrete mathematics generality
    1234…12

    Zusammenfassend sind hier 10 unserer beliebtesten discrete mathematics Kurse

      Fähigkeiten, die Sie bei Probability And Statistics erlernen können

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      Häufig gestellte Fragen zum Thema 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.‎

      Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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