Chevron Left
Volver a Operations Research (2): Optimization Algorithms

Opiniones y comentarios de aprendices correspondientes a Operations Research (2): Optimization Algorithms por parte de Universidad Nacional de Taiwán

68 calificaciones

Acerca del Curso

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc. The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR. As the second part of the series, we study some efficient algorithms for solving linear programs, integer programs, and nonlinear programs. We also introduce the basic computer implementation of solving different programs, integer programs, and nonlinear programs and thus an example of algorithm application will be discussed....
Filtrar por:

1 - 13 de 13 revisiones para Operations Research (2): Optimization Algorithms

por 杜昕

17 de abr. de 2021



por Cor v H

22 de feb. de 2021

Very boring. Forum is dead. Flaws in grading. I finished it, but never again. Bax experience.

por Antsa T F R

13 de mar. de 2023

I watched the three courses for this series to prepare for a final exam. The videos are very easy to understand and cover techniques my teacher did not cover in class. Also, it is very practical and omits details that are not required to understand the topic. After my final exam(I got an A, by the way) I decided to complete all three courses to prepare for my next comprehensive exams. I like it and I am learning a lot. I highly recommend it. My tip: Use 1.5X the speed instead of 1X.

por Stepan Z

10 de mar. de 2021

Very clear explanations and great coverage from main points of view -- mathematical, technical and even business (which is quite rare combination). High-quality LaTeX slides evoke nostalgia, and real cases give good sense of how one can use these tools in the real world

por Zichao W

11 de feb. de 2023

Good course. Have concrete examples with enough (but not too much) mathematical details. I like it a lot.

por 林元婷

28 de jun. de 2021

It's a course that teaches you to solve the model you've built.

por Leandro d S

29 de mar. de 2022

Extremelly good course!

por qiqichen

30 de may. de 2022

good for beginners!!

por Sudheer R

9 de dic. de 2022

Excellent Course.

por Ioannis G

29 de ago. de 2022

1. Some questions in tests were a little vague, abstract.

2. More examples in Python and Gurobi would be great for some extra practice.

3. Last quiz was disproportionately difficult to the content of the course. (at least in my opinion, maybe because I haven't attended OR1)

Nevertheless, the course was well prepared and a great introduction to optimization algorithms.

Thank you a lot.

Kind regards, Ioannis

por Solomon W

10 de dic. de 2021

The course is good, but homework assignments could be made clear. For example, the objective value for an optimal solution in LP/IP formulations is often confused in homework instructions. For heuristics algorithms hints, it is better to hint the type of algorithm (greedy, brute-force, dynamic, etc) and let the students find their solutions since this course is not focused on heuristics.

por Hemendra P

16 de sep. de 2021

The Course was done earlier, hence, there was no one to answer the forums or questions, otherwise a very good course to learn about applying Python.

por Diego M

8 de mar. de 2022

El curso es bastante interesante pero también me parece que está explicado de forma muy pobre.

Las diapositivas en si mismas no te permiten guiarte y entender todo de forma autónoma y la parte de programación está explicada realmente mal. También considero que faltan ejemplos de programación.