Guest Lecture with professor Boon Thau Loo Mark your calendars for From Academia to the Start-Up Industry – Guest Lecture with Prof Boon Thau Loo! This event is for students who are: Wondering how concepts learnt in different MCIT Online classes are Read more…
Course Description This course provides an introduction to the broad field of information management systems, covering a range of topics relating to structured data, from data modeling to logical foundations and popular languages, to system implementations. The course covers the Read more…
Mark your calendars for Algorithms Guest Lecture with Prof Sanjeev Khanna: Computing with really small space — the power of randomization! This event is for students who: Have taken CIT 592 and want to learn more about algorithms and algorithmic thinking prior to Read more…
Thank you to everyone who participated in the MOSA Spring 2021 Hackathon! Everyone did great work, and we’re excited to announce the winners: 1st Place Audible Tweet Fun by Spencer Griffin, Gilbert Lau & Nidhi Desai 2nd Place & People’s Read more…
These resources were compiled by MOSA Gender Diversity in Computation (GDC). GDC aims to promote leadership, community, and wellness among women and other gender minorities in computer science. If you have recommendations for resources that should be listed here, please Read more…
Course Description Introduces fundamental concepts in computing systems. The first 75% of the course introduces concepts in modern operating systems: processes, threads, inter-process communication, traps, interrupt-handling, scheduling, virtual memory and file systems. The final 25% of the course provides and Read more…
Course Description This course is an introduction to fundamental concepts of programming and computer science. The course starts off with an introduction to modern programming languages and aspects such as basic data types, loops, and conditionals. The course will cover Read more…
Course Description This course introduces students to math concepts that form the backbone of the majority of computer science. Topics covered include sets, functions, permutations and combinations, discrete probability, expectation, mathematical induction, and graph theory. The goal of the course Read more…
Course Description This course focuses primarily on the design and analysis of algorithms. It begins with sorting and searching algorithms and then investigates graph algorithms. In order to study graph algorithms, general algorithm design patterns like dynamic programming and greedy algorithms are Read more…
Course Description This course focuses on data structures, software design and advance Java. The course starts with an introduction to data structures and the basics of the analysis of algorithms. Important data structures covered include arrays, lists, stacks, queues, trees, Read more…