The goal of this course is to deepen students' understanding of data structures and algorithms and how these can be employed effectively in the design of software systems. We anticipate that it will generally be
Nowadays, however, typical desktop CPUs possess deep cache hierarchies - at least a sizable L1 and L2 cache - to prevent runtime from being dominated by RAM accesses. Data structures and algorithms that efficiently exploit the cache can perform dramatically more quickly than those that don't, ...
Cache-oblivious data structuresArticle 06/12/2007 In most data structure and algorithms classes, the model used for basic analysis is the traditional RAM model: we assume that we have a large, random-access array of memory, and count the number of simple reads/writes needed to perform the ...
Expertise: Image datasets for evaluating artificial intelligence algorithms, Synthetic datasets generated with artificial intelligence, Affective computing datasets, Micrography datasets for artificial intelligence analysis Miguel Cazorla University of Alicante, Spain Expertise: Social robotics, Computer vision, ...
no representation for degree program structures poor integration with the UNSW Online Handbook The first point is inconvenient, since it means that enrolment into a full course or class becomes a sequence of trial-and-error attempts, hoping that somebody has dropped out just before you attempt ...
In computer science, big O notation is used toclassify algorithms according to how their running time or space requirements grow as the input size grows. In analytic number theory, big O notation is often used toexpress a bound on the difference between an arithmetical function and a better un...
Spearman-Rank correlation algorithms using NetFlow data obtained from an enterprise network (Chuah et al.2021). From their study, they observed that reflection attacks on the Secure Shell (SSH) and Domain Name Service (DNS) servers exist in the NetFlow data and those attacks are not correlated....
Social scientists, physicists, computer scientists, andmathematicianshave collaborated to create theories and algorithms for calculating novel measurements of social networks and the people and things that populate them. These quantitativenetwork metricsallow analysts to systematically dissect the social world,...
Machine learning technologies are thus used to intelligently analyze cybersecurity data and provide a dynamically upgraded and up-to-date security solution. Learning algorithms can be divided into four categories: supervised, unsupervised, semi-supervised, and reinforcement learning [3]. The nature and ...
Our synthetic data set supports a variety of student engagements, from understanding complex data structures to developing advanced RL algorithms for optimizing clinical interventions. Moreover, the low patient disclosure risk associated with our data sets (refer to Section B in Multimedia Appendix 1) ...