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

4.6
786 個評分
174 條評論

課程概述

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....

熱門審閱

SP
2021年2月26日

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!

JC
2020年9月8日

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

篩選依據:

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

創建者 Ajit B

2017年10月19日

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

創建者 Mahade H

2020年8月28日

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

創建者 Abhinav M

2020年6月4日

Probability courses could have been more structured and more about definitions

創建者 Афанасьев И В

2020年10月26日

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

創建者 Nikhil Y

2020年5月1日

it was really amazing to work on this course!!

創建者 Jinqiang Z

2017年12月16日

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

創建者 Elton M

2018年5月5日

The probability section could be more visual.

創建者 Saurabh P

2020年5月27日

Great course with lots of exercises.

創建者 Michael K H E

2019年1月21日

Prof Vlad has really great examples!

創建者 Ramesh

2017年12月9日

Probability section was little weak

創建者 Lionel L R Q

2020年6月24日

The last assignment is fun :)

創建者 MANOJ

2020年7月28日

It was very good

創建者 Lakshman P

2020年10月29日

Awesome course

創建者 Anh T

2021年11月25日

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

2019年5月20日

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

2020年4月6日

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

2019年2月6日

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

2021年12月24日

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

2018年6月2日

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

2021年5月10日

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

創建者 Rohit k

2020年4月28日

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

創建者 Long C

2021年11月28日

explanation​ should be better.

創建者 kobi c

2021年9月10日

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

2021年12月14日

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.