Lecture 1 — Functional Programming Fer-Jan de Vries Department of Computer Science University of Leicester February 16, 2017 1 CO2008 Functional Programming (In a nutshell) Write a program to add up the first n square numbers: sumofsqs n = 12 + 22 + … + (n-1)2 + n2 Clear Haskell solution: sumSquares :: Int -> […]
CMP3036M Data Science Page 1 of 3 University of Lincoln School of Computer Science 2016 – 2017 Assessment Item 1 of 2 Briefing Document Title: CMP3036M Data Science Indicative Weighting: 50% Learning Outcomes On successful completion of this component a student will have demonstrated competence in the following areas: x LO1 Critically apply fundamental concepts
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CSE220 Spring 2016 – Homework 4 Due Friday 4/29/2016 @ 11:59pm In this assignment, you will implement several recursive f unctions in MIPS. In each case, the high-level source code is provided. You MUST implement all the f unctions in the assignment using the def ined algorithms. Do not use other algorithms. You will need
Reinforcement Learning: Homework Assignment 2 (Semester 2 – 2016/17) Subramanian Ramamoorthy and Svetlin Penkov 3 March 2017 Instructions: • This homework assignment is to be done individually, without help from your classmates or others. Plaigarism will be dealt with strictly as per Uni- versity policy. • Solve all problems and provide your complete solutions (with
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Operating Systems: Principles and Practice (Volume 1 of 4) Operating Systems Principles & Practice Volume I: Kernels and Processes Second Edition Thomas Anderson University of Washington Mike Dahlin University of Texas and Google Recursive Books recursivebooks.com 2 Operating Systems: Principles and Practice (Second Edition) Volume I: Kernels and Processes by Thomas Anderson and Michael Dahlin
Introduction to MPI Wednesday, February 10, 16 Topics to be covered • MPI vs shared memory • Initializing MPI • MPI concepts — communicators, processes, ranks • MPI functions to manipulate these • Timing functions • Barriers and the reduction collective operation Wednesday, February 10, 16 Shared and distributed memory • Shared memory • automatically
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Coursework 1 – Stock Exchange (Java) Introduction It is worth 15% of the module mark for this module. It requires you to use Object-Oriented Programming and the Java programming language to design and write a program that will function as a simple stock exchange, reading orders from a file, processing them, and then writing the results to
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Reinforcement Learning Deep Reinforcement Learning (Material not examinable) Subramanian Ramamoorthy School of Informa
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COMP6714: Informa2on Retrieval & Web Search Introduc)on to Informa(on Retrieval Lecture 1: Boolean retrieval COMP6714: Informa2on Retrieval & Web Search Unstructured data in 1680 Which plays of Shakespeare contain the words Brutus AND Caesar but NOT Calpurnia? One could grep all of Shakespeare’s plays for Brutus and Caesar, then strip out lines containing Calpurnia? Why is that not the answer? Slow (for large corpora) NOT Calpurnia is non‐trivial Other opera)ons (e.g., find the word Romans near countrymen) not feasible Ranked retrieval (best documents to return) Later lectures 2 Sec. 1.1 COMP6714: Informa2on Retrieval & Web Search Term‐document incidence 1 if play contains word, 0 otherwise Brutus AND Caesar BUT NOT Calpurnia Sec. 1.1 COMP6714: Informa2on Retrieval & Web Search Incidence vectors So we have a 0/1 vector for each term. To answer query: take the vectors for Brutus, Caesar and Calpurnia (complemented) bitwise AND. 110100 AND 110111 AND 101111 = 100100. 4
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CMS052 Abstract Data Types & Dynamic Data Structures Assessment 1 Lincoln School of Computer Science Document updated 1 February 17 CMP3110M Parallel Computing, Assessment Item 1 Learning Outcome Criterion Pass 2:2 2:1 1st [LO1] demonstrate practical skills in applying parallel algorithms for solving computational problems; [LO3] analyse parallel architectures as a means to provide solutions