We may earn an affiliate commission when you visit our partners.
Take this course
Robert Sedgewick

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

Read more

Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.

All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Analytic Combinatorics (upon which the course is based) or to visit the website ac.cs.princeton.edu for a wealth of additional material.

This course does not offer a certificate upon completion.

Enroll now

What's inside

Syllabus

Combinatorial Structures and OGFs
Our first lecture is about the symbolic method, where we define combinatorial constructions that we can use to define classes of combinatorial objects. The constructions are integrated with transfer theorems that lead to equations that define generating functions whose coefficients enumerate the classes. We consider numerous examples from classical combinatorics.
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Introduces learners to advanced quantitative tools such as generating functions and complex analysis
Applicable to various fields including computer science, operations research, and physics
Provides a strong foundation for those interested in pursuing research in combinatorial structures
Taught by Robert Sedgewick, a renowned computer scientist and author
No certificate of completion is offered

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Rigorous analytic combinatorics: theory and methods

According to learners, Analytic Combinatorics is a highly theoretical and rigorous course from Princeton University that offers excellent depth into the subject. Students report it is a challenging course, often requiring a strong mathematical background, particularly in areas like discrete math and possibly real/complex analysis fundamentals before starting. The course focuses heavily on generating functions and applying complex analysis techniques to solve combinatorial problems. Many feel it provides a strong foundation for advanced study or research in the field, though its highly academic nature means it's less focused on practical, immediate applications.
Focuses on theory, less on application.
"This is a very theoretical course, which is great if you're into academics."
"Don't expect many direct coding or applied examples; it's pure mathematics."
"It's best suited for those interested in the fundamental theory of combinatorics."
Prerequisites in math/CS are essential.
"Make sure you have a solid background in discrete math and calculus before taking this."
"Prior exposure to complex numbers or analysis would be very helpful to keep pace."
"I felt a bit lost at times without stronger prerequisite knowledge."
Integrates complex analysis techniques.
"The way complex analysis is applied to derive asymptotics is fascinating and powerful."
"The introduction to complex analysis within the course was clear enough to follow the applications."
"I appreciated learning how analytic methods using complex functions yield asymptotic results."
Provides thorough coverage of theory.
"The course goes into excellent depth on generating functions and asymptotics."
"I really appreciate the comprehensive coverage of both symbolic and analytic methods."
"It gave me a deep understanding of the theoretical underpinnings."
Builds base for advanced study/research.
"This course is essential for anyone doing research in combinatorics or algorithms."
"It gave me the precise tools I needed for my own research work."
"I found this course highly valuable for my graduate studies."
Rigorous content requires dedication.
"This is definitely a challenging course; be prepared for complex math."
"It requires significant effort to keep up, especially the complex analysis parts."
"I found the material quite rigorous; it's not for the faint of heart or beginners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analytic Combinatorics with these activities:
Combinatorial Structures Resource Collection
Gather and organize resources related to combinatorial structures, providing a comprehensive reference for further exploration.
Browse courses on Combinatorics
Show steps
  • Identify and collect relevant articles, videos, and online resources.
  • Organize the resources into a structured and accessible format.
Review Limits and Derivatives
Revisit foundational math concepts to strengthen the understanding of topics like generating functions and asymptotics.
Browse courses on Limits
Show steps
  • Review the definition and properties of limits.
  • Practice finding limits of functions.
  • Review the definition and rules of derivatives.
  • Practice finding derivatives of functions.
Generating Function Equations Practice
Reinforce the understanding of constructing generating function equations for various combinatorial constructions.
Browse courses on Generating Functions
Show steps
  • Solve practice problems on deriving generating functions for combinatorial structures.
  • Analyze examples of generating function equations and identify the corresponding combinatorial constructions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Collaboration and Discussion Sessions
Engage with peers to discuss course concepts, solve problems together, and enhance understanding through diverse perspectives.
Browse courses on Collaboration
Show steps
  • Join or form a study group with other students.
  • Meet regularly to discuss course material, ask questions, and work on problems.
Analytic Combinatorics by Philippe Flajolet and Robert Sedgewick
Delve deeper into the concepts covered in the course by reading the foundational textbook, enhancing comprehension and reinforcing learning.
Show steps
  • Read the relevant chapters of the book.
  • Work through the exercises and examples provided in the book.
Tutoring in Combinatorics
Reinforce understanding by sharing knowledge with others, clarifying concepts, and solidifying learning through teaching.
Browse courses on Tutoring
Show steps
  • Identify tutoring opportunities at local schools or community centers.
  • Prepare lesson plans and materials for tutoring sessions.
  • Tutor students in combinatorial concepts and techniques.
Mathematical Analysis Project
Apply analytical methods to derive asymptotic estimates for combinatorial structures, enhancing comprehension of complex analysis concepts.
Browse courses on Analytic Combinatorics
Show steps
  • Choose a combinatorial structure of interest.
  • Define the generating function for the structure.
  • Apply complex analysis techniques to derive asymptotic estimates.
  • Write a report summarizing the analysis and findings.
Advanced Asymptotic Techniques Tutorial
Explore advanced asymptotic techniques beyond the course material, deepening the understanding of asymptotic estimates.
Browse courses on Asymptotics
Show steps
  • Find and review tutorials on advanced asymptotic methods.
  • Practice applying these techniques to solve combinatorial problems.

Career center

Learners who complete Analytic Combinatorics will develop knowledge and skills that may be useful to these careers:
Operations Research Analyst
Operations Research Analysts improve efficiency across the life of a product, process, or organization. Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. It introduces the symbolic method to derive functional relations among generating functions and methods in complex analysis for deriving accurate asymptotics from the generating function equations. This may be useful for an Operations Research Analyst who needs to understand how to analyze large combinatorial structures.
Financial Analyst
Financial Analysts study historic and current financial data to make predictions. They use these predictions to inform investment decisions for organizations and individuals. Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. It introduces the symbolic method to derive functional relations among generating functions and methods in complex analysis for deriving accurate asymptotics from the generating function equations. This may be useful for a Financial Analyst who needs to understand how to analyze historical data and make predictions.
Data Scientist
Data Scientists gain valuable insights from data to inform decision making. Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. It introduces the symbolic method to derive functional relations among generating functions and methods in complex analysis for deriving accurate asymptotics from the generating function equations. This may be useful for a Data Scientist who needs to understand how to analyze data and make predictions.
Software Engineer
Software Engineers design, develop, and maintain software systems. Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. It introduces the symbolic method to derive functional relations among generating functions and methods in complex analysis for deriving accurate asymptotics from the generating function equations. This may be useful for a Software Engineer who needs to understand how to analyze and design software systems.
Computer Scientist
Computer Scientists analyze, design, implement, and manage the software and hardware systems used to solve problems.
Statistician
Statisticians collect, analyze, and interpret data to help organizations and individuals make informed decisions.
Business Analyst
Business Analysts evaluate business processes and systems to improve efficiency and effectiveness.
Actuary
Actuaries use mathematical and statistical methods to assess the probability of uncertain future events.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to assess the risk and return of financial investments.
Risk Manager
Risk Managers identify, assess, and manage risks to an organization's operations and finances.
Consultant
Consultants provide expert advice to organizations on a wide range of topics, including business strategy, operations, and technology.
Mathematician
Mathematicians study the properties of numbers, structures, and change.
Physicist
Physicists study the fundamental laws that govern the universe.
Chemist
Chemists study the properties and behavior of matter.
Biologist
Biologists study the structure, function, growth, and evolution of living organisms.

Reading list

We've selected 48 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analytic Combinatorics.
This is the textbook upon which the course is based. Students who want more depth in the material should consider this text.
A two-volume work that provides a comprehensive treatment of enumerative combinatorics, including many topics covered in this course.
Another excellent reference for anyone interested in the combinatorics and generating functions that this course is based on.
This advanced textbook covers a wide range of topics in enumerative combinatorics. It good reference to have.
Provides a comprehensive treatment of combinatorial enumeration, including many of the topics covered in the course. It good resource for anyone who wants to learn more about this field.
A multi-volume work that provides a comprehensive treatment of computer science, including many topics that are relevant to this course.
A comprehensive and advanced textbook that covers many of the topics in the course in more detail.
This classic textbook provides background in the concepts and techniques used in combinatorial analysis.
Provides a strong background on asymptotics, which are an important topic in Analytic Combinatorics.
Provides background on much of the combinatorial theory used in Analytic Combinatorics, which would be helpful for getting a solid foundation in the basics of the math.
Provides background in complex analysis that is useful for understanding the asymptotic analysis in the course.
A good resource on the basics of combinatorial optimization for anyone who is new to it.
This classic textbook provides background in number theory, which is useful for understanding some of the analytic methods used in the course.
A classic text on analytic combinatorics that may be of interest to those wanting more depth.
This classic textbook provides background in probability theory, which is useful for understanding some of the concepts used in the course.
This classic textbook provides background in statistical inference, which is useful for understanding some of the concepts used in the course.
Provides a good introduction to complex variables, which are used in the analysis of generating functions. It is helpful for understanding the complex analysis of generating functions.
This textbook provides a practical introduction to combinatorics, which is useful for understanding some of the basic concepts used in the course.
This textbook provides background in data structures and algorithms, which is useful for understanding some of the computational methods used in the course.
This classic textbook provides background in algorithms, which is useful for understanding some of the computational methods used in the course.
Collection of papers on asymptotic methods in combinatorics, graphs, and analysis. It valuable resource for anyone who wants to learn more about these topics.
A textbook on generating functions with a focus on applications in number theory and combinatorics.
This textbook provides background in combinatorics and graph theory, which is useful for understanding some of the basic concepts used in the course.
Provides a good introduction to many of the mathematical topics that are used in combinatorics, including generating functions, complex analysis, and differential equations. It good resource for anyone who wants to learn more about these topics.
This textbook provides background in number theory, which is useful for understanding some of the analytic methods used in the course.
Classic text on analytic number theory. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about analytic number theory.
This advanced textbook provides background in analytic methods in probability theory, which is useful for understanding some of the advanced concepts used in the course.
Comprehensive treatment of advanced combinatorics. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about advanced combinatorics.
Provides a good introduction to combinatorics and graph theory, which are related to the topics covered in the course. It good resource for anyone who wants to learn more about these topics.
This advanced textbook provides background in asymptotic methods in combinatorics, which is useful for understanding some of the advanced concepts used in the course.
Provides a good introduction to probability, which is used in the analysis of combinatorial structures. It is helpful for understanding the probabilistic analysis of generating functions.
Provides a good introduction to algorithms, which are used in the analysis of combinatorial structures. It is helpful for understanding the algorithmic analysis of generating functions.
Provides a good introduction to linear algebra, which is used in the analysis of combinatorial structures. It is helpful for understanding the linear algebra of generating functions.
Provides a good introduction to calculus, which is used in the analysis of generating functions. It is helpful for understanding the calculus of generating functions.
Comprehensive treatment of polygonal dissections. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about polygonal dissections.
Provides a good introduction to number theory, which is used in the analysis of combinatorial structures. It is helpful for understanding the number theory of generating functions.
Comprehensive treatment of number theory. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about number theory.
Comprehensive treatment of advanced topics in number theory. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about advanced topics in number theory.
Comprehensive treatment of applied combinatorics. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about applied combinatorics.
Comprehensive treatment of data structures and algorithms. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about data structures and algorithms.
Comprehensive treatment of combinatorial algorithms. It provides a thorough treatment of the subject, and it valuable resource for anyone who wants to learn more about combinatorial algorithms.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser