Learner Reviews & Feedback for Discrete Optimization by The University of Melbourne
About the Course
Top reviews
SK
May 29, 2019
Exceptional coverage of optimization fundamentals. Learning of practical applied methods. Real university level course, no water down "data science". Absolutely love it! Thank you professor Pascal.
MG
May 6, 2024
To achieve success in this course, you will need college math up to and including Linear Algebra and 3 to 6 months of Python coding experience. This is nearly a graduate school level course.
151 - 175 of 177 Reviews for Discrete Optimization
By Serhat G
•Jan 23, 2020
Extraordinary...
By Dmitry K
•Jun 20, 2021
Hard but useful
By Marcin K
•Oct 9, 2017
superb !!!!!!!
By Priidik V
•Aug 13, 2020
Pretty cool
By 王蕴泽
•Oct 29, 2021
Thank you!
By Urumi N
•Oct 22, 2021
Thank you!
By Yury G
•Apr 30, 2017
Wonderful!
By miao
•Aug 23, 2024
excellent
By Leonardo G A
•Aug 25, 2023
The Best.
By Bjarki Þ H
•May 19, 2020
Very good
By lane_courera
•May 31, 2022
great!
By KALLURU B T R
•Apr 11, 2021
good
By Krystian Z
•Jan 5, 2023
Description of branch and bound in week 1 and also interesting, open ended assignments are plus - (but lectures alone are not enough to complete them IMO). Other than that: not very deep on theory, does not teach much of technical skills (uses pseudo-code almost all time), not beginner-friendly - and I would expect to see at least one of these to consider it a better course. IMHO "Operation Research" MOOCs from University of Taiwan teach similar things somewhat better.
By Edvin S
•Aug 24, 2021
Very good course overall, good material and lectures, challenging assignments. I think the assignments require more time than estimated in the course. What I'm perhaps missing is more discussion on what problem characteristics are important in choosing solver techniques (LP, LS, CP): I still don't feel I have a strong intuition for which algorithm/solver is appropriate for a given problem.
By Jabez T W
•Aug 31, 2020
The content was very useful and very well presented, but I thought I needed more help with the assignments. An indication of how long each program should run should also be made clear. My MIP programs took a few hours for each problem to solve.
By Cheyenne P
•Apr 13, 2021
Really interesting course, it took a while to understand what I was doing as I'm new to coding. I'm glad I was able to solve the assignments. Really happy with outcome. Will be useful for personal projects I'm working on
By Yury K
•Nov 12, 2019
Pascal is highly engaging lecturer. The course is superb, but is indeed advanced. Not very suitable as an intro to a topic (the way I tried to use it). Scraped through though, and rather proud of it :-)
By Ella P
•Jun 5, 2021
Good but a very demanding course. Knowledge of some Programming language should be greater than infromed in the intro
By Baltasar B R
•Jan 25, 2017
I've enjoyed a lot this challenging course. To get a 10 in all the assignments is very hard. But 7 is achievable.
By YIHONG J
•Jun 23, 2020
The content is exciting and the homework is equally challenging! Don't start if you are not ready.
By Oleg L
•Jun 14, 2022
Very cool practice course, but small amount of theory about duality and e.t.c.
By Juan L R A
•Aug 21, 2017
Challenging. I have missed some more explanation about algorithms....
By athanasio v
•May 23, 2020
great lesson should be a little bit more programming friendly
By Siddhartha D T
•Sep 13, 2024
This course is really tough but I enjoyed doing this.
By Ian B
•Mar 11, 2020
Great course, but a heavy workload.