Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

In the early days of computer science, the community settled on a simple standard model of computing and a basic canon of general purpose algorithms and data structures suited to that model. With ...

Overview COMP 272 covers analysis and design of fundamental data structures and engages learners to use data structures as tools to algorithmically design efficient computer programs that will cope ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

Introduction to programming in Python. Introduction to the theory of algorithms: running time and correctness of an algorithm. Recursion. Data structures: arrays, linked lists, stacks, queues, binary ...

Many of these algorithms exploit the inherent structure of finite fields, utilising concepts such as cyclotomic coefficient rings and multi-point evaluation to effectively reduce computational ...

The doctoral researcher should have a master's degree in computer science or bioinformatics (or a related field) with an emphasis on computational sciences. Prior experience in algorithms is expected.

Course Type: Pathway | Breadth Specialization: Advanced Data Structures, RSA and Quantum Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior knowledge needed: You ...

Jacobi symbol calculation is one of the major computation steps for certain cryptographic algorithms. In this paper, we propose a bit-sliced VLSI architecture for the same, essentially tailored for ...