Advanced Programming – QuickCheck for Erlang and Haskell Advanced Programming QuickCheck for Erlang and Haskell Ken Friis Larsen kflarsen@diku.dk Department of Computer Science University of Copenhagen October 25, 2018 1 / 39 Today’s Program I Testing complex data-structures I Testing stateful programs I QuickCheck in Haskell 2 / 39 QuickCheck recap I Testing is a […]
Introduction to Algorithms, Third Edition A L G O R I T H M S I N T R O D U C T I O N T O T H I R D E D I T I O N T H O M A S H. C H A R L E S
01-Intro Peter R. Pietzuch prp@doc.ic.ac.uk Operating Systems Introduction MSc CO502 Autumn Term Weeks 7-11 Morris Sloman & Anandha Gopalan m.sloman@imperial.ac.uk Room 575 Course Objectives •What is an operating system, and how it supports the implementation of software on a computer. • Understand the features and mechanisms that underlie operating systems, including: • process and thread
Recursive Version Data Structures and Algorithms (DSA) Lecture 10: Binary Search Trees Data Structures and Algorithms Overview • Trees • Sorted Sequences • Binary Search Trees Data Structures and Algorithms Tree Data Structures and Algorithms 7 3 13 2 11 17 19 5 18 22 Representing Trees • Heaps are special trees (can be stored
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ITECH5403 – Comparative Programming Languages School of Science, Engineering and Information Technology CRICOS Provider No. 00103D Page 1 of 4 ITECH5403 – Assignment 2 – Parallel Implementations Due Date: 4pm, Friday of Week 11 This assignment will test your skills in programming applications to specification in a number of different programming languages, and is worth
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Program Analysis Introduction David Weir (U of Sussex) Program Analysis Term 1, 2017 1 / 606 Illustrative Problem Use the Stable Match problem to illustate key concepts What is a problem? What is an algorithm? What is a measure of progress? How do we analyse an algorithm’s running time? How do we prove that an
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First, we divide the landscape in two: Parallel and Concurrent applications/programming models What’s the difference? Parallelism vs. Concurrency Multiple cores for performance Multiple threads for modularity of interaction Concurrent Haskell Parallel Haskell Parallelism vs. Concurrency • Primary distinguishing feature of Parallel Haskell: determinism – The program always does the same thing, but may run faster
Introduction to Algorithms, Third Edition A L G O R I T H M S I N T R O D U C T I O N T O T H I R D E D I T I O N T H O M A S H. C H A R L E S
Microsoft Word – pap0869-inglesant.doc The True Cost of Unusable Password Policies: Password Use in the Wild Philip Inglesant & M. Angela Sasse Department of Computer Science University College London Gower Street, London WC1E 6BT, UK {p.inglesant, a.sasse}@cs.ucl.ac.uk ABSTRACT HCI research published 10 years ago pointed out that many users cannot cope with the number and
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CS 361A (Advanced Algorithms) CS 361A (Advanced Data Structures and Algorithms) Lecture 20 (Dec 7, 2005) Data Mining: Association Rules Rajeev Motwani (partially based on notes by Jeff Ullman) Association Rules Overview Market Baskets & Association Rules Frequent item-sets A-priori algorithm Hash-based improvements One- or two-pass approximations High-correlation mining Association Rules Two Traditions DM is