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Computational Geometry(으)로 돌아가기

상트 페테르부르크 주립 대학교의 Computational Geometry 학습자 리뷰 및 피드백

3.8
별점
11개의 평가
5개의 리뷰

강좌 소개

This course represents an introduction to computational geometry – a branch of algorithm theory that aims at solving problems about geometric objects. Its application areas include computer graphics, computer-aided design and geographic information systems, robotics, and many others. You will learn to apply to this end various algorithmic approaches, and asses their strong and weak points in a particular context, thus gaining an ability to choose the most appropriate method for a concrete problem. We will cover a number of core computational geometry tasks, such as testing point inclusion in a polygon, computing the convex hull of a point set, intersecting line segments, triangulating a polygon, and processing orthogonal range queries. Special attention will be paid to a proper representation of geometric primitives and evaluation of geometric predicates, which are crucial for an efficient implementation of an algorithm. Each module includes a selection of programming tasks that will help you both to strengthen the newly acquired knowledge and improve your competitive coding skills....

최상위 리뷰

필터링 기준:

Computational Geometry의 5개 리뷰 중 1~5

교육 기관: Samrat S

Mar 24, 2020

Extremely bad teaching style, Algorithms can not be taught like this through static Power points.

Its extremely important to do white boarding with thorough dry run of algorithms with examples..

Very disappointed with this course, I have completed almost 20 courses on coursera but unfortunately this is the first course where i have to give up.

교육 기관: Stanislav Z

Dec 31, 2019

Great opportunity to learn the algorithms. Challenging at times trying to figure out where your code went wrong, but you eventually get through it. Assignments can take a bit of time.

교육 기관: Uwe H

May 18, 2020

I was not very impressed. Another reviewer commented that this is a poor way to teach algorithms, and I agree: it is much too static, you have to see algorithms in action. Also, the video editing is frankly horrible. Every couple of seconds a transition between the lecturer and a whiteboard?!? How the hell can you look & listen & think? A more-static split screen would have been much better. Because I took this course during coronatime, I'll give it three stars... my inclination would otherwise be two stars.

교육 기관: NISCHAY R

Jun 24, 2020

Some portions are taught in a great way,some in very average manner.If they can include the running animations for each algorithms,then i would have rated 5-star.Overall,a satisfactory experience.

교육 기관: Hatem M

May 15, 2020

Topics are interesting but the not all questions are answered in the discussion forums