DT
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Compact introduction to the basics of specifying models in MiniZinc. Excellent starter kit, but you will fight a bit with the syntax of MiniZinc.
EV
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Very interesting, but I miss some theory explaining how the optimizations work behind.
By Tomas R L
•Oct 19, 2021
Really nice course, last assignments are really challenging and they can even be a little frustrating. I think there are some holes and some information missing, but overall it was really fun and interesting
By Gabriel D d A
•Feb 24, 2019
Ótimo curso para introdução a otimização discreta, tive dificuldades nas tarefas, mas boa parte devido a minha falta de atenção. Diferente de outros corretores, o Feedback do MinZinc funcionou muita bem!
By Juan C G V
•Jan 6, 2018
Enjoyable and challenging. Great professors and TAs. Excellent introduction to modeling and declarative programming. If you want to learn programming with constraints definitely I recommend this course.
By Tiago S
•Jun 28, 2020
It is a very practical way to start the learning in discrete optimization. I think this strategy more effective than the pure theoretical approach. I am so glad for having concluded this course!
By Karl G
•Nov 7, 2020
Excellent course! I learned a lot. Although the assignments were sometimes hard to fathom, and its online nature mean getting hints was difficult, there's enough there to help get through.
By Alexandre P
•Jul 30, 2017
Very interesting and neatly prepared course. It was very easy to dive in the course and to stay motivated. I would highly recommend their course for its amazing quality.
By Михаил С
•Sep 22, 2018
Great course, but huge gap in difficulty between weeks two and three, as it seemed to me. Knowledge given by course is applicable both for a work and a hobby for me.
By Adel F
•Dec 22, 2020
Excellent course, gives you a whole different contextualization of 'for loop' and formulation and solving a descrete optimization problem. Fun and challenging
By David T
•Jul 11, 2021
Compact introduction to the basics of specifying models in MiniZinc. Excellent starter kit, but you will fight a bit with the syntax of MiniZinc.
By Hala A
•Sep 2, 2019
I recommend this course for any one starts constraint programming. It is easy to understand but I think it is required logic background.
By Jaydeep M
•Jul 29, 2020
Great course for introduction to discrete optimization. Video lectures were engaging and the assignments were challenging but fun.
By Philippe C
•Jan 14, 2018
Great course to learn modeling discrete optimization problems. Excellent pedagogy and amusing problems to model using MiniZinc.
By Clot J
•May 30, 2019
Good teachers. They go gradually from very easy to challenging concepts. Also a good intro to the main optimization problems.
By Nikolaj V C
•May 18, 2020
This course is really great. You get to model a lot of different problems, which are both fun and challenging.
By David B
•Jun 11, 2020
Very good assignements, it is a good introduction to CP, so i hope to continue to the next level soon.
By mako y
•Mar 15, 2024
A very engaging course. By the end of it, I'm able to do most anything I can imagine with minizinc.
By Olivier C
•Oct 13, 2020
Interesting course, constraint solving systems are way different from usual programming languages.
By Charles E T
•Jun 8, 2019
Certainly more effort went into this course than I was expecting; well worth the $0 cost of entry.
By Filip S
•Oct 15, 2020
Teaches the basics of modelling really well. I'm looking forward to the follow-up course.
By Keane M
•Jan 10, 2021
Great introduction to modeling for discrete optimization. Very engaging and challenging.
By Tino W
•Nov 26, 2017
It's a fun course and can be applied on many optimization problems in the real world.
By Cyprien P
•Jun 10, 2020
Awesome content and teachers, Minizinc is great to design contraints-based problems.
By Cristian R A
•Oct 9, 2019
This course is very useful for learning basic CSP Modelling with Minizinc
By Ferry d B
•Mar 3, 2020
Great course, quality of the lectures and exercises was outstanding!
By Dharyll P A
•Jun 24, 2018
A creative way of teaching discrete optimization. Well appreciated.