Opiniones y comentarios de aprendices correspondientes a Materials Data Sciences and Informatics por parte de Instituto de Tecnología de Georgia
Acerca del Curso
Principales revisiones
RR
Sep 23, 2018
Machine learning part and its application to material science was interesting but informative contents like material dev eco system and whole week 1 was more informative than logical
DG
Apr 28, 2020
This course is very much interesting and i have learned about micro structure analysis using data sciences simulation, regression ,finding mechanical properties etc
26 - 45 de 45 revisiones para Materials Data Sciences and Informatics
por Siva S
•Jan 12, 2020
Excellent course!
por mansi g
•Jul 17, 2018
its easy to do it
por Sheikh N
•Oct 10, 2018
Very nice course
por K. R
•Mar 17, 2019
Awesome Course!
por Salim A
•Dec 18, 2016
very beneficial
por kavuri v
•Apr 18, 2020
good
por Gilbert L
•Jan 17, 2020
nice
por Yeshar H
•Sep 21, 2016
Great, fantastic information that made me see the importance of data sciences in materials science and engineering. My only request would be to potentially spend more time fleshing out PCA and the statistical tools around it; most of it went over my head without seeing a step-by-step application of it that showed the calculations. Maybe it could be optional so that those who are already strong in PCA can skip it.
por Zisheng Z
•Apr 30, 2018
A great introductory course into Material Data Sciences and Informatics. Had a relatively hard time when the course turned form introduction into hardcore statistics. Moreover, it can be more helpful if there are more practical projects and tutorial on introduced tools.
por Priyabrata D
•Apr 29, 2020
Some lectures from week 1 and week 5 are identical, hence repetitive. The case study is really good. Week 3 contains the most important information. Hence, week 3 needs more clarification on a basic level. Sometimes I felt unconnected with the lectures.
por Navneeth R
•May 02, 2020
Overall it was a very good course and I recommend it for all students interested in material science.But the installation procedure could have been updated and I still face problems in installation of Softwares to use.
por Pranav K
•May 13, 2020
Good theory lessons. There should have been more focus on utilising software (PyMKS) to implement concepts, throughout the course rather than just the end
por Biplab B
•Mar 28, 2020
the course is nice and useful, but is very tough. You require a good knowledge of statistics, computation, and material science to make it through it.
por Veronica M T
•Apr 26, 2020
The course is great but sometimes it was entirely too wordy.
por SAI S S
•Mar 04, 2020
Pretty difficult for a beginner / Undergraduate
por Xin L
•Dec 30, 2019
interesting class
por CEDRIC T
•Dec 04, 2019
The course gives a "good" overview of some techniques but is way too descriptive, way too theoretical. There is no progressive (computational) practice. The major flaws of this course are: 1)no handouts of the slides provided, 2) reference to papers are not clickable URL's, 3) PyMKS runs in Python 2.7 (not 3.4) with many modules deprecated. Running this PyMks is therefore not easy at all and bugged with the environments. Once you get in the course is just about replicating some logic without going in-depth of the potential of this tool. As well , what are more up to date tools to be used? 5) instructors are not really good at teaching , 6) there is no active learners community at this period (november 2019)
por Rachel H
•May 20, 2020
It took until the last 15 minutes of week 5 to get to the actual data science...
por Henry Z
•Apr 25, 2018
照本宣科。以及习题的设置，怕不是在开玩笑？
por Shijie Z
•Aug 27, 2017
Too much talk about general idea. Lack of practice to learn skills
