Cross-listed with DTSA 5503 Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...

Explain fundamental concepts for algorithmic searching and sorting Courses Algorithms for Searching, Sorting & Indexing Trees & Graphs: Basics Dynamic Programming, Greedy Algorithms This ...

Library collection: 20+ new algorithms, including embedding algorithms for graph ML. Library structure and management: Our library continues to be open-source, on GitHub. We’ve improved the ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.