Databases Lecture 8 – Anomalies by bad design Bernhard Reus 1 staffNo lname jobTitle salary branchNo branchAddress 005 Smith Manager 36,000 003 163 Main Street, Glasgow 007 Nail Agent 25,200 004 22 Deer Road, London 003 Gordon Manager NULL 005 82 Oxford Street, London 004 Miller Agent 20,400 003 163 Main Street, Glasgow Data may […]
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AGREP — A FAST APPROXIMATE PATTERN-MATCHING TOOL (Preliminary version) Sun Wu and Udi Manber1 Department of Computer Science University of Arizona Tucson, AZ 85721 (sw | udi)@cs.arizona.edu ABSTRACT Searching for a pattern in a text file is a very common operation in many applications ranging from text editors and databases to applications in molecular biology.
Program Analysis Term 1, 2015 Assessed Coursework 2 Due date: Submit to Engineering and Informatics School Office by 4pm on Wednesday 9th of December 2015. Return date: Marked coursework will be available for collection from the Engineering and Informatics School Office on Monday 11th of Jan- uary 2016. Assessment: Please answer all questions. A total
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Natural Language Engineering: Assessed Coursework Submission format: You should submit one file, and that file must be an iPython notebook. Due date: Submit your iPython notebook on the module’s Study Direct site before 4pm on Wednesday 25th November. This is Wednesday of week 10. The standard late penalties apply. Return date: Marks and feedback will
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courseScraper-checkpoint In [1]: import urllib2 #specify the url wiki = “http://guide.berkeley.edu/courses/compsci/” page = urllib2.urlopen(wiki) from bs4 import BeautifulSoup soup = BeautifulSoup(page, “lxml”) In [34]: res = [] for t in soup.find_all(‘h3’, class_=”courseblocktitle”): alls = t.find_all() res.append(‘ ‘.join(x.string for x in alls).replace(u’\xa0’, ‘ ‘)) # alls = soup.find_all(‘h3’, class_=”courseblocktitle”)[0].find_all() # ‘ ‘.join(x.string for x in alls).replace(u’\xa0’, ‘ ‘)
2. The Relational Data Model 2. The Relational Data Model We will study: Background 2 Key concepts Basics (i.e., attribute and domain) Relation schema, tuple and relation Relational database schema and state 3 Relational integrity constraints Key constraints Entity integrity constraints Referential integrity constraints 4 Constraint violations Insert, delete, update operations 1 Comp2400/Comp6240 – Relational
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Online Marketplace Company DB Requirements • Each product has a unique SKU, price, name, condition, ship time, quantity, pictures, average rating • Each customer has name, unique email, password, card information, order history, review history, Premium membership status • Each review has a rating (1 to 5), date, customer, text • Each supplier has a
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ECJ Evolutionary Computation System Copyright 2000 by Sean Luke, All Rights Reserved http://www.cs.umd.edu/users/seanl/ec/ecj/ Page 1: all packages except for the ec.gp and ec.app package hierarchies Packages: ec, ec.util, ec.simple, ec.steadystate, ec.breed, ec.multiobjective SteadyState Defaults BreedDefaults SelectDefaults ECDefaults MultiObjective Defaults Simpl.eDefaults java.lang. RuntimeException BadParameter Exception OutputException Population DefaultsForm RandomChoice Quicksort Version Code Subpopulation Checkpoint EvolutionState SteadyState
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Contents 1 MASTERING PROLOG Robert J Lucas Includes Prolog for PC (DOS and Windows 3.1) 2 Contents CONTENTS CONTENTS 3 FORWARD 15 1 INTRODUCTION TO PROLOG 17 1.1 Background 17 1.2 Interpreters and compilers 19 1.3 What is a Prolog program? 19 1.4 An initial session with Prolog 20 Note on syntax errors 21 1.5
Games & AI #3 A* + MORE Games & AI #1: A* + More Patrick Dickinson This Week We will look at a new algorithm: A* 1. Actually it’s not new – closely related to Dijksta’s… but better 2. See how it works 3. See how it’s better than Dijksta’s 4. Address some limitations You
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