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CISC 271, Winter 2018 Assignment #4 Due by 10:00PM on Tuesday, April 10, 2017 There are two questions for you to complete in this assignment. Read the following details and instructions carefully before you proceed to work on the problem. Marking System: This assignment is worth 12% of your overall mark in the course. The […]

PART 1 – Quantitative Credit Scoring 85% Section I – Variable Mapping Go to the following link to download the dataset: https://www.dropbox.com/s/mkoxbevzyvj1j9q/Credit_data_RSM6305.txt?dl=0 PS: The first column is just index values, ignore it or don’t count it as one of the features! You have been provided a credit dataset with 20 different borrower attributes (7 numerical

Aim The aim of this lab is to use the skills you learned in the Experimental Methods lectures to import and plot some real data from an actual published experiment, plot it, and attempt to replicate the results in the published paper. Preparation Go over the lecture slides, and for extra background have a look

(a) (b) (c) be able to perform an approximate sensitivity calculation for an optically preamplified receiver; understand the effect of receiver parameters in design issues in optically preamplified receivers; appreciate recent developments and additional sophistication in optical preamplifier modelling from the literature. Optical Preamplifier Assignment SCHOOL OF ENGINEERING ES4C4 Optical Communication Systems Optical Preamplifier Assignment

CS2035: Assignment 4 – 2018 1 CS2035 – Assignment 4 – 2018 Introduction Analyzing London Weather Data Out: March 20th, 2018 In: April 6th, 2018 at 11:55 pm via Owl This MATLAB assignment requires you to write one MATLAB script file, a4.m, to perform a simple (and primitive) analysis on London weather data from 1883

MSF 525 Class Project. This document provides information on the class project that you can choose to carry out. The project deadlines listed below are meant to ensure that you don’t wait until the last week to begin. What you should submit: Your project should consist of a report including the following: A brief introduction,

PROJECT. COMPUTING BARRIER OPTION PRICES UNDER LOCAL VOLATILITY MODEL WITH FINITE DIFFERENCE AND MONTE CARLO SIMUL ATION Assume the stock price S paying a continuous dividend yield q follows the process below dSt = (r − q)Stdt + σ(St, t)StdWt, (1) where r is the risk free interest rate and W is a Wiener process

EXERCISE 1 NUMERICAL OPTIMISATION ASSIGNMENT 5 MARTA BETCKE KIKO RUL·LAN (a)  Implement the BFGS method by modifying the descentLineSearch function. More help is pro- vided inside Cody Coursework. Submit your solution via Cody Coursework. [20pt] (b)  Make your implementation efficient as explained in the lecture i.e. avoid explicitly forming the inverse Hessian matrix Hk. Copy