Chevron Left
返回到 Combinatorics and Probability

學生對 加州大学圣地亚哥分校 提供的 Combinatorics and Probability 的評價和反饋

786 個評分
174 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 online 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....



Special thanks to Prof. Vladimir Podolskii and Prof. Alexander S. Kulikov for their amazing explanations and diligent visuals of the concepts as well as problem sets. You Rock!


It's a perfect introduction to combinatorics and probability, short, fun, and easy to understand. I would like to see more puzzles, those are extremely fun and interesting


151 - Combinatorics and Probability 的 174 個評論(共 174 個)

創建者 Ajit B


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

創建者 Mahade H


English was not that much of good, but the contents were awesome. Learned so much.

創建者 Abhinav M


Probability courses could have been more structured and more about definitions

創建者 Афанасьев И В


Для новичков в теорвере на 4, чисто база которую нужно дальше развивать

創建者 Nikhil Y


it was really amazing to work on this course!!

創建者 Jinqiang Z


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

創建者 Elton M


The probability section could be more visual.

創建者 Saurabh P


Great course with lots of exercises.

創建者 Michael K H E


Prof Vlad has really great examples!

創建者 Ramesh


Probability section was little weak

創建者 Lionel L R Q


The last assignment is fun :)



It was very good

創建者 Lakshman P


Awesome course

創建者 Anh T


The course offers solid materials, but is lacking in examples and exercises. Some of the exercises were tough but interesting and help to reinforce the knowledge learned. Week 4 was the weakest so far for me, the exercises have no explanation or feedback whatsoever, you don't know why you were right or wrong. The final project was challenging and fun but I don't think it has a lot to do with probability, only combinatorics. Overall a decent course.

創建者 Tarun M


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 Amy G


Learning content was too easy - covers things from high school algebra. The instructions for the final project also don't indicate that you have to redefine all previous functions in each code block for the code to be graded correctly.

創建者 Remy E F


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 Rafael J N A


I found the material really hard to understand, probability is not my strength. I'm not saying that the course is bad, it's just is not for me.

創建者 huda g


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 Rajat J


Great course! I did have issues understanding initially due to the accent of the professors.

創建者 Rohit k


Material is not that strong and new for a math student, it should be more challenging.

創建者 Long C


explanation​ should be better.

創建者 kobi c


This is already the fifth online course I take, both here in Coursera and also in Udacity. Overall I have to say that the topics presented here are VERY important, but sadly I couldn't follow the lecturers, I think Coursera should set at least a minimal rough for presenting and teaching and also punctuation and accent

創建者 wayub01


T​he introduction to Binomial theorm, Pascal triangle and its applications was totally pathetic. I would need to consult other resources to continue with this course.