返回到 Combinatorics and Probability

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65 條評論

Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics.
In this course we discuss most standard combinatorial settings that can help to answer questions of this type. We will especially concentrate on developing the ability to distinguish these settings in real life and algorithmic problems. This will help the learner to actually implement new knowledge. Apart from that we will discuss recursive technique for counting that is important for algorithmic implementations.
One of the main `consumers’ of Combinatorics is Probability Theory. This area is connected with numerous sides of life, on one hand being an important concept in everyday life and on the other hand being an indispensable tool in such modern and important fields as Statistics and Machine Learning. In this course we will concentrate on providing the working knowledge of basics of probability and a good intuition in this area. The practice shows that such an intuition is not easy to develop.
In the end of the course we will create a program that successfully plays a tricky and very counterintuitive dice game.
As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.
Do you have technical problems? Write to us: coursera@hse.ru...

Dec 26, 2019

Great course, lots of good info, not too long. Some of the coding assignments and quizzes are challenging, but the staff respond very quickly to questions in the forums.

Aug 03, 2019

Had loads of fun during most part of the course. Frequent quizzes keep the learner on toes. Thoroughly enjoyed the final programming quiz to implement a dice game.

篩選依據：

創建者 Anton M P

•Dec 17, 2017

This course is indeed a very well taught introduction to combinatorics and probability theory, and it can positively ground the student in all the foundational aspects of the discipline with both intuitive-geometric explanations and more advanced formal definitions.

It has helped me consolidate various concepts of probability and combinatorics thanks to the different points of view and examples through which these mathematical objects are presented. Highly recommended.

創建者 Trần C L

•Nov 06, 2019

Quite hard to fully understand Combinatorics and Probability since it's a complicated aspect. The russian teachers have standard skill with ok English, sometimes I lost my focus and didn't pay enough attention because they lacks of appealing approaches. I am sure this course has brought me many very interesting topics and quizzes. Pretty average teaching quality but with excellent choices of content. This course deserves 8/10, good!

創建者 Sudheera S

•Aug 29, 2018

Good introduction to combinations. I enjoyed the programming while learning mathematics. The audio of Prof. Alexander Shen is not clear in many instances. The way the checks are done in between the video lectures helps keep going with course. The tests and well designed. Good job Coursera.

創建者 Bryan W B

•Nov 27, 2018

Much stronger than the first course in this series. I very much enjoyed Vladimir and Alexander's lectures. The weakest part, unfortunately, were Alexander Shen's weeks. I must credit him, however, for being very responsive on the forum.

創建者 Umakant V

•Jan 23, 2020

This course provided me with new ways to confront the problems of combinatorics. I am very grateful to the faculty for their content and coursera for giving me financial aid.

創建者 Juan P Y

•Mar 02, 2018

Awesome course, good topics. Easy to get help. Some topics weren't that clear at first, but you'll eventually understand.

創建者 Ajit C B

•Oct 19, 2017

I think the level could have been a bit more advanced. Overall a good course though.

創建者 zhangjinqiang

•Dec 16, 2017

it's good in general. But slightly too simple.

創建者 Elton O d M

•May 05, 2018

The probability section could be more visual.

創建者 Michael K H E

•Jan 22, 2019

Prof Vlad has really great examples!

創建者 Ramesh

•Dec 09, 2017

Probability section was little weak

創建者 Miguel V

•Dec 30, 2019

This is course is informative, but the instructors in general are terrible. I do not like too much the approach the follow, and I cannot see a good mathematical background. In addition, some explanations are very vague. The contents of the course are great, but I strongly recommend reviewing materials by yourself if you really want to learn.

創建者 Tarun M

•May 20, 2019

This course really brought the best out of me in terms of logical programming. The last task needed hours of hard work, but was a fun challenge. However, I felt that the instructors could have been a bit more responsive on the forums to help us clear our doubts.

創建者 Remy E F

•Feb 07, 2019

Sometimes difficult to follow along with the accent for material that I already found new and challenging. Needed to supplement with Khan Academy and other sources.

創建者 huda g

•Jun 02, 2018

the course was so amazing but sorry it was little hard in weeks 2

the sum of tringle i didn't understand it !!

創建者 Konstantin K

•Dec 04, 2017

It is better to read slides and do not watch the videos