Learn the multiplication rule, permutations, combinations, n choose r with repetition, multinomial, the principle of inclusion and exclusion, partitions, and derangements. John will take you through the ideas and techniques you need to get a firm handle on counting concepts and applications. This course is perfect for people wanting to learn counting strategies for tests such as the John mentions some extra applications that require some knowledge of numbers such as "e," but these applications can easily be skipped with no loss of continuity.
Learn the multiplication rule, permutations, combinations, n choose r with repetition, multinomial, the principle of inclusion and exclusion, partitions, and derangements. John will take you through the ideas and techniques you need to get a firm handle on counting concepts and applications. This course is perfect for people wanting to learn counting strategies for tests such as the John mentions some extra applications that require some knowledge of numbers such as "e," but these applications can easily be skipped with no loss of continuity.
Combinatorics is a growing field utilized in data science, computer science, statistics, probability, engineering, physics, business management, and everyday life. This course is a great introduction with some specialized topics. It is best for someone getting started. If you are more experienced, this course is not for you unless you want to revisit the core concepts. Please see the list of topics.
*Although this course covers only the topics listed, the material can be challenging and demand time to fully absorb.
This is paced as "Beginner" for a US College Course. But, on UDEMY the course rated 5.0 until a student rated the it a 1.0 due to the difficulty. A few other students commented that they loved the course but that it was set at a difficulty level greater than "Beginner" with respect to many UDEMY courses. To be consistent with the platform, the class has been adjusted to an "Intermediate" level course. However, if you are taking a university course in the US on combinatorics, this course would be the equivalent of the first part of a combinatorics class.
This short, self-contained course gives you the basics on counting necessary to be successful in probability, stats, genetics, GMAT, GRE, etc. The multiplication principle, additional rule, permutations, combinations, counting strategies, binomial coefficients, multinomial coefficients, inclusion & exclusion, and derangements are covered. In a follow up course, we will cover more involved topics such as generating functions and Polya's counting theory. Abbreviations for applicability to different tests: DAT, GRE, GMAT, MSG (Math Subject GRE), OAT (O), ISSE (I).
Here is a quick bonus problem taken from a class lecture John gave.
From this quiz on: n "choose" r will be written as nCr.
In this bonus lesson, we will apply our knowledge of combinatorics to probability. For the problem we look at, it is enough to know that the probability can be computed by diving the number of ways of getting "what we want" by the "total number of possibilities" [WANT/TOTAL]. Here, we take for granted that each possibility is equally likely to occur.
A bonus lecture showing two interesting ways of picking 3 nonconsecutive numbers from the numbers 1-10!
For standardized tests, this quiz and topic, really, are not necessary (with the possible exception of the MSG). For combinatorics, this is a must!
An application to Fibonacci numbers!
John does a quick video on Burnside's Lemma (an advanced topic for this course). Let us know if you want a more extensive explanation!
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