TMA 01 Question 1 i) A) Reciever = Kermitt Message = sameColourAs(gribbit) Message send = kermit.sameColourAs(gribbit) Argument = gribbitt B) kermit.right(); kermit.getPosition(); gribbit.brown(); gribbit.getColour(); C) 1‚ None 2‚ Right 3‚ None 4‚ None 5‚ Brown 6‚ None ii) A) Two frog objects exist after the code has been executed
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QUESTIONS Question 1: The data shown below are chemical process yield on successive days. Construct a histogram for these data. 94.1 | 87.3 | 94.1 | 92.4 | 84.6 | 85.4 | 93.2 | 84.1 | 92.1 | 90.6 | 83.6 | 86.6 | 90.6 | 90.1 | 96.4 | 89.1 | 85.4 | 91.7 | 91.4 | 95.2 | 88.2 | 88.8 | 89.7 | 87.5 | 88.2 | 86.1 | 86.4 | 86.4 | 87.6 | 84.2 | 86.1 | 94.3 | 85.0 | 85.1 | 85.1 | 85.1 | 95.1 | 93.2 | 84.9 | 84.0 | 89.6 | 90.5 | 90.0 | 86.7 | 87.3 | 93.7 | 90.0 | 95.6 | 92.4 | 83.0 | 89
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COMMISSION ON HIGHER EDUCATION SAMPLE SYLLABUS TEMPLATE COURSE NUMBER: CS205 TITLE: Modelling and Simulation Pre-requisite: CS103 and CS204 DEPARTMENT / PROGRAM: BSCS SCHOOL: SEMESTER AND SCHOOL YEAR: INSTRUCTOR: COURSE DESCRIPTION This courses introduces the students to modelling and simulation concepts. Topics discussed in the course includes‚ system analysis and classification.‚ abstract and simulation models‚ continuous‚ discrete‚ and combined models‚ heterogeneous
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Genrate 7 letters password ; Example3.asm: A Simple Random Password Generator (7 characters) .386 .model flat‚ STDCALL ; INCLUDE FILES include \masm32\include\kernel32.inc include \masm32\include\windows.inc include \masm32\include\user32.inc include getseg.inc ; Our include file ; LIBRARY includelib \masm32\lib\kernel32.lib includelib \masm32\lib\user32.lib includelib getseg.lib ; Our include file ; random number generating function
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Course MBA – 2nd Semester Subject Operations Research Assignment MB0048 – Set 1 Q.1. (a) what is linear programming problem? (b) A toy company manufactures two types of dolls‚ a basic version doll- A and a deluxe version doll-B. Each doll of type B takes twice as long to produce as one of type A‚ and the company would have time to make maximum of 1000 per day. The supply of plastic is sufficient to produce 1000 dolls per day (both A & B combined). The deluxe version requires
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ESE/CSE 346 Computer Networks‚ Spring 2013‚ Prof. T.G.Robertazzi Project TA: Kai Wang (kaiwang.sunysb@gmail.com) Project #1: Switching Element Problem To be submitted: Wednesday‚ March 5‚ 2013 Project Description In this project you will write a program to produce a discrete event simulation of a switching element with 10 inputs and 3 outputs as shown in Fig. 1. Time is slotted on all inputs and outputs. Each input packet follows a Bernoulli process. In a given slot the independent probability that
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Current Location MAT540046VA016-1132-001 Quantitative Methods Review Test Submission: Midterm Exam Menu Management Options Expand All Collapse All MAT540046VA016-1132-001 (Quantitative Methods) Course Home Student Center Announcements Email Gradebook Class Introductions Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Review Test Submission: Midterm Exam Content User | | Course | Quantitative Methods | Test | Midterm Exam | Started | 2/9/13 10:35 PM | Submitted
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Use CART to predict treatment outcome Start with genes-leukemia.csv dataset used in assignment 2. As a predictor use field TREATMENT_RESPONSE‚ which has values Success‚ Failure or "?" (missing) A. Examine the records where TREATMENT_RESPONSE is non-missing. Q1: How many such records are there? Answer: 15 (7 success‚ 8 failure) Q2: Can you describe these records using other sample fields (e.g. Year from XXXX to YYYY ‚ or Gender = X‚ etc) Answer: CLASS = AML and Source=CALGB Q3: Why is it not
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BE01106 - BUSINESS STATISTICS ASSIGNMENT – PART I SEMESTER 2‚ 2014 _________________________________________________________________________ The complete BEO1106 assignment (all three parts) accounts for 20% of the overall assessment in the unit. This first part of the BEO1106 assignment is to be completed in your own time and must be submitted for correction in the tutorial of week 6. No time extensions will be granted although special consideration applications may be accepted from students
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ntroduction to Monte Carlo simulation This article was adapted from Microsoft Office Excel 2007 Data Analysis and Business Modeling by Wayne L. Winston. Visit Microsoft Learning to learn more about this book. This classroom-style book was developed from a series of presentations by Wayne Winston‚ a well known statistician and business professor who specializes in creative‚ practical applications of Excel. So be prepared — you may need to put your thinking cap on. In this article * Overview
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