COURSE REVIEWS

Shaz Furniturewala

Shaz F.

Undergraduate Student

Batch: 2020

Graph Mining

   

617 days ago


Graph Mining is one of the most informational courses at BITS Pilani. The course content was comprehensive and the professor built up from simple topics to complex ones in a cohesive manner. The lab component of the course allowed me to implement theoretical concepts in practice, solidifying my understanding. The semester project empowered me to explore more cutting-edge applications of graph-based machine learning. I am glad I took this course and would highly recommend others to do the same.
NIVEDITHA K

NIVEDITHA K.

Undergraduate Student

Batch: 2020

Graph Mining

   

622 days ago


Graph Mining is one of the best courses I've taken at BITS! The course establishes a theoretical foundation in graph algorithms and progresses to machine learning and Graph Neural Networks. The labs are well coordinated with the theoretical concepts, facilitating a deeper understanding of course material. The instructors are meticulous and patient in their teaching approach. Overall, I would strongly recommend this course to anyone looking to explore the theory and applications of Graph Theory.
Satvik Sinha

Satvik S.

Undergraduate Student

Batch: 2020

Graph Mining

   

624 days ago


I recently completed the Graph Mining course, and I am compelled to share my positive experience with anyone considering diving into the world of graph analytics. This course exceeded my expectations in every aspect. The instructors were not only experts in the field but also exceptional educators. Their passion for graph mining was contagious, making each lecture engaging and accessible. The course content was structured logically and progressively, starting from the basics and gradually delving into advanced topics.
Vedang Nadkarni

Vedang N.

Undergraduate Student

Batch: 2020

Graph Mining

   

622 days ago


The course is well structured and has a good breadth and depth for an introduction to graph mining. The instructor understands the level of emphasis that needs to be given to different topics and does not delve into unnecessary and cumbersome details or proofs - keeping you motivated to follow along. Further the choice to allow students to use a practical programming tool like python and libraries like numpy lets them focus on understanding concepts and solving real problems.
Shai pranesh

Shai p.

Undergraduate Student

Batch: 2020

Graph Mining

   

623 days ago


The Graph Mining course exceeded my expectations. Comprehensive content, engaging lectures, and practical assignments made learning enjoyable. The supportive environment and up-to-date materials showcase the instructor's commitment. Highly recommend for a deep dive into graph mining!