EdX

Combinatorial Mathematics | 组合数学(edX)

Combinatorial Mathematics | 组合数学(edX)

Discover how to apply counting principles and combinatorics to solve problems in computer science, financial analysis, and your daily life. 本课程侧重介绍组合数学的概念和思想,研究离散对象的计数方法和相关理论。

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Our lives are full of combinations. Combinatorial mathematics is just the science to deal with combinations of discrete items. As an ancient field, the history of combinatorial mathematics could be traced back over 4000 years to the age of the Great Yu in ancient China. Nowadays, it is regarded as the fundamental knowledge of computer science since the algorithms in programming heavily rely on the analysis of the discrete elements.
Instead of relying on the traditional mathematical "theorem - proof" format, we show various principles in an intuitive manner with ancient stories, the scenes of movies and even the magic show. Specific topics covered include:

  • The counting principles based on the basic operations “+”, “-”, “*”, “/”;
  • Generating functions;
  • Recurrent number serials such as Fibonacci number, Catalan number etc;
  • Pigeon hole principles;
  • Inclusion and exclusion principles;
  • Polya counting based on group theory.

This course is based on a highly regarded on-campus Tsinghua class called Combinatorics, and is ideal for students who are interested in mathematics or computer science. Enroll today and learn the mathematical theory needed to solve the real-world problems!

What you'll learn:

  • Counting principles in our daily lives
  • Applying math to computer science and financial analysis
  • The science behind combinations of discrete items
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

MathTrackX: Integral Calculus (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Integral Calculus (edX)

Discover concepts and techniques relating to integration and how they can be applied to solve real world problems. This course is part four of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced
MathTrackX: Special Functions (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Special Functions (edX)

Understand trigonometric, exponential and logarithmic functions and how they can be applied in the real world. This course is part two of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced
Pre-University Calculus (edX) EdX
Delft University of Technology,DelftX

Pre-University Calculus (edX)

Prepare for Introductory Calculus courses. Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary Mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation and integration.

Self Paced
Self-Paced
Cálculo Diferencial (edX) EdX
Galileo University,GalileoX

Cálculo Diferencial (edX)

El Cálculo marca una diferencia en la formación y capacidad de una persona para utilizar las matemáticas en otras ciencias y la ingeniería. Podemos afirmar sin temor a equivocarnos que un buen curso de Cálculo amplía la visión del estudiante en su campo y en su área de estudio.

Self Paced
Self-Paced
Calculus Applied! (edX) EdX
HarvardX,Harvard University

Calculus Applied! (edX)

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences. In this course, we go beyond the calculus textbook, working with practitioners in social, life and physical sciences to understand how calculus and mathematical models play a role in their work.

Self Paced
Self-Paced
MathTrackX: Probability (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Probability (edX)

Understand probability and how it manifests in the world around us. This course introduces probability and how it manifests in the world around us. Beginning with discrete random variables, together with their uses in modelling random processes involving chance and variation, you will start to uncover the framework for statistical inference.

Self Paced
Self-Paced
Linear Algebra II: Matrices and Linear Transformations (edX) EdX
Delft University of Technology,DelftX

Linear Algebra II: Matrices and Linear Transformations (edX)

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

Self Paced
Self-Paced
Linear Algebra I: Vectors and Linear Equations (edX) EdX
Delft University of Technology,DelftX

Linear Algebra I: Vectors and Linear Equations (edX)

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear equations. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

Self Paced
Self-Paced
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced