Quality Score
Overall Score : 84 / 100
Course Description
Instructor Details
- 4.2 Rating
22 Reviews
Dr. Surya Kalidindi
Dr. Kalidindi's research interests are broadly centered on designing material internal structure (including composition) for optimal performance in any selected application and identifying hybrid processing routes for its manufacture. To this end, he has employed a harmonious blend of experimental, theoretical, and numerical approaches in his research.
Reviews
By Jon D D on 18-Aug-19
The course was overall good but some of the course content is outdated (installing PyMKS) please look into this matter.
By Marek N on 8-Jul-19
I think it's wonderful course, but I did not have enough real practical skills from it (in my opinion). Thank you very much to the instructors for this course!
By Jean-Gabriel P on 22-Apr-19
An excellent introduction to Material informatics. I highly recommend to any beginners to get started with learning informatics regarding materials.
By Supriya M on 23-Sep-18
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
By Alex Z on 30-Apr-18
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.
By Roeland v d B on 7-Dec-17
Very valuable course for materials modelling enthusiast. It provides me the firm grounding and preparation for my future research work in this material modeling. This course is a fine balance of technical knowledge, its implementation and the practical approaches one needs to adopt to effectively use this knowledge of materials modeling in real world. (Anupam Purwar)
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