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学生对 加州大学圣地亚哥分校 提供的 Combinatorics and Probability 的评价和反馈

4.6
726 个评分
159 条评论

课程概述

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 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....

热门审阅

SP
Feb 26, 2021

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!

KB
Dec 25, 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.

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151 - Combinatorics and Probability 的 159 个评论(共 159 个)

创建者 Remy E F

Feb 6, 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.

创建者 huda g

Jun 2, 2018

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

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

创建者 Ghali L H

Sep 18, 2020

The final project's guide is not good.

More assistance should be required from the instructors.

创建者 Rohit k

Apr 28, 2020

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

创建者 Shubham C

Jul 30, 2020

Teaching style may not suit to you. First take audit course for try.

创建者 Konstantin K

Dec 4, 2017

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

创建者 Jithin S

Oct 18, 2020

The french professor is not great at explaing

创建者 Suman S

Feb 10, 2020

I liked the course, but it should have a disclaimer of the pre-requisite of good python knowledge required. The last assignment is 23% of the total grades. Unfortunately, instructors don't even teach any basics of python to tackle the assignments. This is the most unprofessional thing about the course. The rest of the material in the course is fun. I am giving the course a 2-star rating because of my deep struggle with the last assignment.

创建者 Ryan B

Feb 21, 2020

Terrible instruction