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COMP SCI 2103 & 7103 Algorithm Design & Data Structure Semester 1, 2019 Practical 5: Recursion and Inheritance Due date: 11:59pm, 3 May 2019 1 General Instructions All submissions for the practical assignments should be under version control. Submission procedure remains the same with the first practical assignment. The directory under version control for this […]
The University of Melbourne School of Computing and Information Systems Declarative Programming COMP90048 Semester 1, 2019 Project Specification Due Thursday, 2 May 2019, 5:00PM Worth 5% The objective of this project is to practice your Prolog programming skills. You will write a few fairly simple Prolog predicates. The Assignment You will implement the following Prolog
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CIS 305 – Project 3 Version 19S – Rev A This project consists of three deliverables. Be sure to number the pages in your report. Deliverable 1. Table Creation Using ERwin and Microsoft SQL Server, create the tables. A. Use ERwin to create the tables, then forward engineer them to automatically generate the schema in
STA 104 Exam I Project, due Friday, May 3th in lecture before 9:50AM Read the following instructions carefully: • You may work in a group of two, or by yourself. • You are not allowed to discuss the questions with anyone other than the instructor or TA and your group mate. • Any outside help
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BT2201 Dynamic Web Pages Assignment 2018/19 Your assignment for this module is as follows: “Lancashire Cars Ltd. is company selling used cars. They just started their business and need a web presence. Create a website for them that lists cars available and enables visitors to get further details for a specific car. Employees should be
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COMP10002 Assignment 1 Feedback: XXUSERNAMEXX Program Presentation Including: layout and style, readability, adherence to coding expectations, general care and appearance. Some subset of the following lines will be retained by the marker. • Up to Stage 1 initial allocation, +0.5. • Up to Stage 2 initial allocation, +1.5. • Up to Stage 3 initial allocation,
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 MAT 4376F/5313F R – Value-at-Risk, Expected Shortfall • Value-at-Risk • Comparison of parametric and nonparametric method for Exponential distribution n=1000; • lambda=2; • p=seq(1,n,by=1)/(n+1); • true.VAR=-log(p)/lambda; • plot(p,true.VAR,type=”l”); • X=rexp(n,lambda); • hatlambda=1/mean(X); • parametric.VAR=-log(p)/hatlambda; • points(p,parametric.VAR,type=”l”,col=”blue”) • nonparametric.VAR=sort(X,decreasing=TRUE); • points(p,nonparametric.VAR,type=”p”,col=”red”); • • p0=0.05; • -log(p0)/lambda; -log(p0)/hatlambda; • index=floor(n*p0); nonparametric.VAR[index+1]; • • Comparison of
— title: “BAS 474 S19 Computational Takehome Exam” author: “Guodong Ma” date: “due 4/30/2019 11am” — “`{r setup, include=FALSE} #DO NOT CHANGE ANYTHING HERE knitr::opts_chunk$set(echo = TRUE) library(regclass) library(caret) library(arules) library(pROC) options(digits=7) #If you need to re-generate your exam or data file, highlight the bit after the hashtag below and run that source(“S19takehome.R”);make_my_examS19( 395989 )
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 MAT 4376F/5313F R – Fitting multivariate distributions library(mvtnorm); library(MASS); library(QRM); library(evir); # Simulate bivariate normal data mu
The University of Melbourne School of Computing and Information Systems COMP10002 Foundations of Algorithms Semester 1, 2019 Assignment 1 Due: 4pm Friday 3rd May 2019 1 Learning Outcomes In this assignment, you will demonstrate your understanding of arrays, pointers, input processing, and functions. You will also extend your skills in terms of code reading, program
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