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Avis et commentaires pour d'étudiants pour Algorithmic Thinking (Part 1) par Université de Rice

4.7
étoiles
321 évaluations
65 avis

À propos du cours

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing"....

Meilleurs avis

OT
28 sept. 2018

very educational. I've learnt not only about graph theory but also how to use matplotlib and timeit libraries. The assignments were quite challengeable but rewarding.

MR
16 sept. 2019

The class is very useful, I already see the improvement in the codes that I write. And the assignments are very well-designed and truly helpful.

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26 - 50 sur 64 Avis pour Algorithmic Thinking (Part 1)

par Andrey S

13 oct. 2016

Too much bla, bla, bla. Very slowly, very boring.

par Ze C

27 févr. 2017

Application assignment is a must-do for students taking this course. The second computer network application is very a rewarding one for me to finish with gains on concepts of graph as well as programming stretch with my hands dirty.

par Jayadev

22 août 2018

lectures are a bit on the slow side... not straight to the point and a bit repetative..

bfs we have already done in this spezialization.

but homework/project/applications are excellent!

makes up for the rest!

Thank you!

par Tom F

5 sept. 2020

Significantly more difficult than the preceding courses in the specialization, but the projects are fantastic!

par Prashanth K

23 oct. 2020

A great course with wonderful explanations from the tutors. Looking forward to do more courses with this team

par Zou S

16 oct. 2017

Very impressive and interesting. Graph theory is really elegant representation of the computer network.

par Rachel K

19 août 2017

The project-based course structure works really well for the material. This was a great course!

par Y A

11 oct. 2017

This is Wonderful and simpler explained course that is detailed with 'learner's requirement'.

par Edwin R

12 nov. 2017

The course content is well structured and the instructors' explanation is clear and concise!

par Gundala S R

24 juin 2016

One of the best course offered by coursera, helps you to develop very strong basics if new,.

par TOVAR E P S

15 juin 2020

The explanation of the videos is incredible, it helps you improve, your analytical skills

par emmanouil k

10 juil. 2016

optimization and fragmentation..algos arithmos olokliroma..fractal resilience..

par Jaehwi C

11 déc. 2017

The best course to study computer science and algorithm for beginner!

par Michael B R

7 déc. 2017

Another great course in this specialization!

par Albert C G

2 déc. 2017

Great Class - Truly makes you think

par Isuru

12 oct. 2016

A course I enjoy very much!

par Jeffrey C

21 nov. 2019

Very challenging course

par Siwei L

23 déc. 2017

Very helpful course!!

par Deleted A

16 juil. 2017

Good for it lovers

par Nathaniel B

9 oct. 2017

Excellent course!

par Guanyu B

24 oct. 2020

Great course!

par Arthur-Lance

15 août 2017

thanks a lot

par Martin W

19 févr. 2017

great course

par Deepthi V

6 oct. 2019

good one

par Alexandrov D

24 juil. 2017

Thanks )