Opiniones y comentarios de aprendices correspondientes a Algorithmic Thinking (Part 1) por parte de Universidad Rice
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Principales reseñas
OT
28 de sep. de 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 de sep. de 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.
26 - 50 de 67 revisiones para Algorithmic Thinking (Part 1)
por Andrey S
•13 de oct. de 2016
Too much bla, bla, bla. Very slowly, very boring.
por Tudor B
•4 de abr. de 2021
Enjoyed every piece of it. While it assumes you are familiar with programming in Python for which it is recommended to take their "Principles of Computing" both Part 1 and 2 prior, plus knowing some high-school math, it teaches you to develop efficient algorithms that solves particular problems. You will be able to reason about Algorithmic efficiency as well.
por Justin M
•18 de feb. de 2020
Very challenging course, but I did enjoy the content quite a lot. The programming assignments were well-structured and built upon one another to the point that the final graph resilience project took me an entire weekend to complete, but greatly expanded my understanding of both python data structures and how to represent graphs using them.
por Ze C
•27 de feb. de 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.
por Jayadev H
•22 de ago. de 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!
por Tom F
•5 de sep. de 2020
Significantly more difficult than the preceding courses in the specialization, but the projects are fantastic!
por Prashanth K
•23 de oct. de 2020
A great course with wonderful explanations from the tutors. Looking forward to do more courses with this team
por Zou S
•16 de oct. de 2017
Very impressive and interesting. Graph theory is really elegant representation of the computer network.
por Rachel K
•19 de ago. de 2017
The project-based course structure works really well for the material. This was a great course!
por Y A
•11 de oct. de 2017
This is Wonderful and simpler explained course that is detailed with 'learner's requirement'.
por Edwin R
•12 de nov. de 2017
The course content is well structured and the instructors' explanation is clear and concise!
por Gundala S R
•24 de jun. de 2016
One of the best course offered by coursera, helps you to develop very strong basics if new,.
por TOVAR E P S
•15 de jun. de 2020
The explanation of the videos is incredible, it helps you improve, your analytical skills
por emmanouil k
•10 de jul. de 2016
optimization and fragmentation..algos arithmos olokliroma..fractal resilience..
por Jaehwi C
•11 de dic. de 2017
The best course to study computer science and algorithm for beginner!
por Michael B R
•7 de dic. de 2017
Another great course in this specialization!
por Albert C G
•2 de dic. de 2017
Great Class - Truly makes you think
por Isuru
•12 de oct. de 2016
A course I enjoy very much!
por Jeffrey C
•21 de nov. de 2019
Very challenging course
por Siwei L
•23 de dic. de 2017
Very helpful course!!
por Deleted A
•16 de jul. de 2017
Good for it lovers
por Nathaniel B
•9 de oct. de 2017
Excellent course!
por Guanyu B
•24 de oct. de 2020
Great course!
por Arthur-Lance
•15 de ago. de 2017
thanks a lot
por Martin W
•19 de feb. de 2017
great course
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