Oct 13, 2017
Great into to Java, instructors have clearly put thought in to the format with the choose your own learning style videos, and additional coverage where it may be needed. These have been very helpful.
Jun 08, 2017
Fantastic course! I would recommend to anyone interested in learning the graph data structure in a fun and hands-on and engaging way! Definitely one of the best courses I have followed on Coursera.
Apr 30, 2020
by Sergei G•
Nov 03, 2016
by Jonathan A G S•
May 08, 2016
Jan 07, 2016
May 11, 2020
by Rakesh P•
Nov 28, 2018
by RICARDO G•
Apr 20, 2017
by Cheun P•
Jan 12, 2016
by Felix A•
Jan 13, 2016
This course was very well put together. The videos were clear and well organized. They typically contained a powerpoint presentation and little box with the presenter's head. The assignments built off of each other by reusing code from previous weeks.
The test cases for the grader weren't very complete. If I have any recommendations for the organizers it would be to tighten up their grading process. (For one assignment, I completely forgot to write one function and there was no test coverage for it! I ended up writing it the next week.) Still the codebase that they have provided for the class is large so I don't fault them for bugs. I think it will probably improve over time as more people take the course.
Overall, they did a great job!
by Diyi L•
Sep 05, 2017
It is a good course. It lets you to understand basic data structures and lets you code some data structures (mainly graph data structures) on your own (it takes some time to finish assignment). However, I think there are much more data structures in Java not covered in this course (like all kinds of trees), which means this course doesn't tell you EVERY MAJOR data structure in Java and their usage. It just tells you how to check javadoc on your own. I think an introduction about other frequently used data structures will be helpful.
by Joseph S•
Apr 19, 2018
This was a fun and interesting course. The most challenging but rewarding course of this specialization. Learning about graphs and their search algorithms was really interesting, I want to look into graphs and TSP problems more. Basically building a graph from scratch was an amazing and rewarding experience. I definitely recommend this course!
by Gregory B•
Mar 12, 2016
For me, it is easier to grasp algorithms that are written out than audio/video description. I would have given 5 stars if the course material accommodated different learning styles for each chapter. I had to do a fair amount of searching for information on the A Star search algorithm to the understand the subtle details.
by Suraj S•
Jan 21, 2016
Good course to build confidence in building a class from scratch.
But, I expected more from this course. A few lectures could have been devoted to popular design patterns used in Graph problems maybe.
One more assignment to actually make the students work on heuristics for solving NP-Hard problems would have been helpful.
by Dong C•
Dec 26, 2017
As usual, I really love this specialization, but I didn’t rate 5 stars, I feel like the videos are fewer to help go through the project. I was stuck in week 4 and it is really really challenging, but I do enjoy the process to figure out all the details and think it over and over again. Thanks UCSD professors ;)
by Leah S•
Mar 23, 2018
Really hated "Just guess the closest of the multiple choice if your answers don't match. It's not always exact." as quiz instructions. That was just horrible. Figure out some better way of grading it.
The rest of the course was lovely, challenging and fun. I especially enjoyed the NP section.
by Peter S•
Feb 01, 2016
Course was well paced. Assignments were relevant. Only shortcoming I believe was that the last two weeks of the course did not require any submission of a coding assignment. Only required a quiz.
I feel that the course would benefit from a requirement to submit some code each week.
by Roy G C•
Jun 11, 2018
Beautiful course. I only disliked not being explained anything regarding the GUI used and how everything was created. But in terms of algorithms and advanced data structures, it was lovely. I highly enjoyed learning about graphs, traversing algorithms, complexity theory and the like.
by Zoran H•
May 30, 2016
I give really high marks for this course as the graphs are presented in a proper and practical manner. I have a suggestion to present the High Level of Graphs more in the area of Information theory. Otherwise it is nice approach and very good implementation of the material and exams.
Dec 31, 2015
A great course as the previous courses for the specialization. I know that the week 4's materials are out of this specialization's scope but I think it's alright to delve in more about P and NP problems. That material is somehow still incomprehensible for me.
by Jeffrey L•
Dec 27, 2015
Very interesting programming assignment for the BFS, Dijkstra and A* methods. Great job with that.
The coverage of the TSP was weak -- room for improvement there. Perhaps include a programming assignment.
Overall, the course was a worthwhile investment of time.
by Marie B•
May 27, 2016
The course content and presentation was excellent. I love the large-project format of the classes in this specialization. I only wish this course had more resources for working offline, at a level that matches the previous courses in the specialization.
by Makoto I•
Nov 06, 2016
Overall, I enjoyed this course. Especially from week 1 to 3 where the course contents were simply amazing.
It would be great if week 4 and 5 can engage the students like week 1 to 3, and the forum can be more alive.
by Kerstin K•
Jul 23, 2017
Finally no repetitions any more, and some better assignments. These could still use some work, because I generally find them way too easy. Best course in this specialization so far.
by Lauren H•
Sep 30, 2016
This course was excellent! I learned so much and I am now able to understand the significance of knowing how Algorithms and Data Structures are related in a practical way. I
by Thirumal V•
Feb 09, 2016
At first the course is hands on, later on it becomes more of theory. This would have been a challenging course if we had more harder graph problems to solve though.