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.
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.
par Zach D
•Good class. New to Java and this was a nice and manageable intro with some solid usable algorithmic practice thrown in. Only took about a week and a half.
par Wei H
•Very good introduction to advanced data structures in Java. This course is well designed and organized according to the cognitive psychology. Thanks!
par Andrew E
•Interesting close up on one particular data structure type (Graphs). Cool project that brings in real life applications of complex data structures.
par Yuri A P
•Bravo! After I finished my AI class without understanding a thing about best path algorithms I thought I was done for. This course is a life saver.
par Yangyang X
•It's good to start an algorithm of graph implementation. Except the first Assignment, the next following assignments are a little bit tough for me.
par Richard R
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Very interesting and adaptative for the student as you can catch another later session.
I found there's a huge gap between week1 and week2.
Thanks
par Ashish G
•The content of the course is great. By having the concept challenges and real world tie-ins the professors ensure you've absorbed the concepts.
par Hao W
•Wonderful course, I will never forget the Santa example used to describe the Traveling Sales Man problem. Absolutely love all the instructors.
par RUBIN S
•Really good explanations! Very clear and to the point. Also like the discussion sections by the students. (Although it seems heavily set-up)
par xiaojing
•I do not like the peer review setting. Because it takes such a long, long time to wait for enough people to review my housework. Thanks !
par Jipeng C
•Very good course. Through this course. I got the basic ideas of BFS and DFS and other algorithms instead of just know how to write them.
par Natasa
•So much great learning! Love the instructors - they make the courses so fun! Also love the projects - they are engaging and relevant!
par Prakash
•Awesome course to explore real time applications of graphs, shortest path algorithms and np-hard problems such as Hamiltonian and TSP.
par Varderes B
•Challenging and fun. So glad I took this course. Made some cool changes for the extension, but I'll keep working on it just for fun!
par Joshua D P
•I learn a lot of new algorithm in graph theory and i given opportunity to apply it in a project. One of the best course in algorithm.
par Matthew A
•Well put together, engaging and well designed projects. Thanks again for a well tailored, progressive course in this specialisation.
par YANSKY
•Very excellent course! I hope there will be more course like this in the future. Thanks UCSD, Thank Coursera, Thank you everyone!
par Dominic F
•Excellent course. All the concepts are very well explained and the assignments are enjoyable and worthwhile. Highly recommended.
par KELVIN D K
•i have learn so much about graph and tree in this course and its very useful for my future job and programming language skill
par Bruno
•It's a great solid course on graphs and its algorithms. It's a must for those who really want to become a software engineer.
par Rajendra A K
•I understood about graphs from here at last after trying various resources online but peace was attained here in this course
par LIUZHENTAO
•It is the first course that I encountered with Graph! It is a useful data structure. This course is practical and useful!
par Vijeya A
•It was a very well designed course. The faculty were great.
The programming assignment was simply amazing. Thanks a lot!!!
par Ridham B
•The teachers were awesome. Kept the core detailed and to the point. Had a fun experience completing the projects.
par Pradyumn A
•Great course for learning data structures with it s applications. A must course for Computer Science Enthusiast.