Lecture 3a. Review Chapter 10 Nise. Skill Assessment Problems. G. Hovland 2004

Size: px
Start display at page:

Download "Lecture 3a. Review Chapter 10 Nise. Skill Assessment Problems. G. Hovland 2004"

Transcription

1 METR4200 Advanced Control Lecture 3a Review Chapter 10 Nise Skill Assessment Problems G. Hovland 2004 Skill-Assessment Exercise 10.1 a) Find analytical expressions for the magnitude and phase responses of s) ( s 1 + 2)( s + 4) b) Make plots of the log-magnitude and the phase, using log-frequency in rad/s as the ordinate c) Make a polar plot of the frequency response

2 Exercise 10.1a jw) ( jw + 1 2)( jw + 4) w j6w + 8 (8 1 2 w ) + j6w 2 (8 w ) j6w 2 2 (8 w ) + (6w) 2 For Bode plots it is easier to stop here!! For Nyquist plots: Get rid of j in denominator Exercise 10.1a Inverse!

3 Exercise 10.1b Exercise 10.1c

4 Class Quiz Statement: Closed-loop systems with open-loop phase between -90 o and +90 o are always stable, regardless of gain. Explain why? Hint: Think Nyquist. Skill-Assessment Exercise 10.2 Draw the Bode log-magnitude and phase plots for the system shown below, where s) ( s ( s + 20) + 1)( s + 7)( s + 50)

5 Exercise 10.2 ( s + 20) s) ( s + 1)( s + 7)( s + 50) Skill-Assessment Exercise 10.3 Sketch the Nyquist diagram for the system shown below, where s) ( s + 1 2)( s + 4)

6 Exercise 10.3 Class Quiz 1: Can this system ever become unstable? Class Quiz 2: Compare with polar-plot from 10.1c and explain difference! Skill-Assessment Exercise 10.4 For the system below, where do the following s) ( s + K 2)( s + 4)( s + 6) a) Plot the Nyquist diagram b) Use your Nyquist diagram to find the range of gain K, for stability

7 Exercise 10.4a Exercise 10.4b This demonstrates a quick way of finding the stability range without having to draw the Nyquist plot

8 Skill-Assessment Exercise 10.5 Find the gain margin and the 180 o frequency for the problem in Exercise 10.4 if K 100 Skill-Assessment Exercise 10.6 For the system below, where s) ( s + 5)( s K + 20)( s + 50) do the following Draw the Bode log-magnitude and phase plots Find the range of K for stability from your Bode plots Evaluate gain margin, phase margin, zero db frequency, and 180 o frequency from your Bode plots for K 10,000.

9 Exercise 10.6a Why does the magnitude start here -74 db? Exercise 10.6b

10 Exercise 10.6c Skill-Assessment Exercise 10.7 Find the closed-loop bandwidth required for 20% overshoot and 2-seconds settling time Formulas: zeta: Equation 4.39 wbw: Equation Such formulas will be given! But you need to know how to use them! Note: These are approximations based on a 2 nd order pole!

11 Skill-Assessment Exercise 10.8 Given the system shown below, where s) ( s )( s + 20)( s + 50) plot the closed-loop log-magnitude and phase frequency response plots using the following methods: a) M and N circles b) Nichols chart Exercise 10.8a

12 Exercise 10.8b Exercise 10.8 a&b Closed-loop response from M&N or Nichols

13 Skill-Assessment Exercise 10.9 Using the open-loop frequency response for the system below, where s) 100 s( s + 5) estimate the percent overshoot, settling time, and peak time for the closed-loop step response. Exercise dB w bw Again these formulas will be given. In general, you need to find ζ and w bw and then use the formulas

14 Skill-Assessment Exercise Find the static error constants for a stable unity feedback system whose open-loop transfer function has the Bode magnitude plot shown below Exercise This table will normally be given

15 Skill-Assessment Exercise For the system below, where 10 s) s( s + 1) find the phase margin if there is a delay in the forward path of a) 0 sec b) 3 sec c) 7 sec Exercise 10.11a Direct computation as an alternative to Bode or Nyquist plots

16 Exercise b&c Skill-Assessment Exercise Estimate s), whose Bode log-magnitude and phase plots are shown below

17 Exercise Exercise 10.12

18 Exercise Summary You can expect similar style questions on class test and final exam. Calculations will be reasonably easy to avoid w 4, w 6, etc Questions will tend towards understanding rather than number crunching skills (for which we have Matlab).

Example. Given a unity feedback system that has a forward TF. , do the following

Example. Given a unity feedback system that has a forward TF. , do the following Example Given a unity feedback system that has a forward TF K ( s + ) G( s) =, do the following ( s s + ) (a) Obtain a RL using Matlab Roots: +i (b) Find the complex poles that crosses on the imaginary

More information

The schedule for the course can be viewed on the website at

The schedule for the course can be viewed on the website at MCT4C: Exam Review The schedule for the course can be viewed on the website at http://www.sdss.bwdsb.on.ca/teachers/jelliott/mct4c All topics are on the exam except for: 1) long/synthetic division (Unit

More information

Figure 5-1 Root locus for Problem 5.2.

Figure 5-1 Root locus for Problem 5.2. K K( +) 5.3 () i KG() = (ii) KG() = ( + )( + 5) ( + 3)( + 5) 6 4 Imag Axi - -4 Imag Axi -6-8 -6-4 - Real Axi 5 4 3 - - -3-4 Figure 5- Root locu for Problem 5.3 (i) -5-8 -6-4 - Real Axi Figure 5-3 Root

More information

Pre-Algebra, Unit 7: Percents Notes

Pre-Algebra, Unit 7: Percents Notes Pre-Algebra, Unit 7: Percents Notes Percents are special fractions whose denominators are 100. The number in front of the percent symbol (%) is the numerator. The denominator is not written, but understood

More information

GRAPHS IN ECONOMICS. Appendix. Key Concepts. Graphing Data

GRAPHS IN ECONOMICS. Appendix. Key Concepts. Graphing Data Appendix GRAPHS IN ECONOMICS Key Concepts Graphing Data Graphs represent quantity as a distance on a line. On a graph, the horizontal scale line is the x-axis, the vertical scale line is the y-axis, and

More information

Operational Amplifier Stability. Collin Wells Texas Instruments HPA Linear Applications 2/22/2012

Operational Amplifier Stability. Collin Wells Texas Instruments HPA Linear Applications 2/22/2012 Operational Amplifier Stability Collin Wells Texas Instruments HPA Linear Applications 2/22/212 1 The Culprits Capacitive Loads! Reference Buffers! Cable/Shield Drive! MOSFET Gate Drive! Rg 1k Rf 2k Q1

More information

1. FRACTIONAL AND DECIMAL EQUIVALENTS OF PERCENTS

1. FRACTIONAL AND DECIMAL EQUIVALENTS OF PERCENTS Percent 7. FRACTIONAL AND DECIMAL EQUIVALENTS OF PERCENTS Percent means out of 00. If you understand this concept, it then becomes very easy to change a percent to an equivalent decimal or fraction. %

More information

IOP 201-Q (Industrial Psychological Research) Tutorial 5

IOP 201-Q (Industrial Psychological Research) Tutorial 5 IOP 201-Q (Industrial Psychological Research) Tutorial 5 TRUE/FALSE [1 point each] Indicate whether the sentence or statement is true or false. 1. To establish a cause-and-effect relation between two variables,

More information

Section 1.4: Slope-Intercept Form

Section 1.4: Slope-Intercept Form Section 1.4: Slope-Intercept Form Objective: Give the equation of a line with a known slope and y-intercept. When graphing a line we found one method we could use is to make a table of values. However,

More information

APPM 2360 Project 1. Due: Friday October 6 BEFORE 5 P.M.

APPM 2360 Project 1. Due: Friday October 6 BEFORE 5 P.M. APPM 2360 Project 1 Due: Friday October 6 BEFORE 5 P.M. 1 Introduction A pair of close friends are currently on the market to buy a house in Boulder. Both have obtained engineering degrees from CU and

More information

ECON 6022B Problem Set 1 Suggested Solutions Fall 2011

ECON 6022B Problem Set 1 Suggested Solutions Fall 2011 ECON 6022B Problem Set Suggested Solutions Fall 20 September 5, 20 Shocking the Solow Model Consider the basic Solow model in Lecture 2. Suppose the economy stays at its steady state in Period 0 and there

More information

3.4.1 Convert Percents, Decimals, and Fractions

3.4.1 Convert Percents, Decimals, and Fractions 3.4.1 Convert Percents, Decimals, and Fractions Learning Objective(s) 1 Describe the meaning of percent. 2 Represent a number as a decimal, percent, and fraction. Introduction Three common formats for

More information

7-3 Exponential Review I can apply exponential properties and use them I can model real-world situations using exponential functions Warm-Up 1. Find the next three terms in the sequence 2, 6, 18, 54,,,

More information

MATH 181-Quadratic Equations (7 )

MATH 181-Quadratic Equations (7 ) MATH 181-Quadratic Equations (7 ) 7.1 Solving a Quadratic Equation by Factoring I. Factoring Terms with Common Factors (Find the greatest common factor) a. 16 1x 4x = 4( 4 3x x ) 3 b. 14x y 35x y = 3 c.

More information

EconS Substitution E ects

EconS Substitution E ects EconS 305 - Substitution E ects Eric Dunaway Washington State University eric.dunaway@wsu.edu September 25, 2015 Eric Dunaway (WSU) EconS 305 - Lecture 14 September 25, 2015 1 / 40 Introduction Last time,

More information

Problem Set 1: Review of Mathematics; Aspects of the Business Cycle

Problem Set 1: Review of Mathematics; Aspects of the Business Cycle Problem Set 1: Review of Mathematics; Aspects of the Business Cycle Questions 1 to 5 are intended to help you remember and practice some of the mathematical concepts you may have encountered previously.

More information

Applications of Exponential Functions Group Activity 7 Business Project Week #10

Applications of Exponential Functions Group Activity 7 Business Project Week #10 Applications of Exponential Functions Group Activity 7 Business Project Week #10 In the last activity we looked at exponential functions. This week we will look at exponential functions as related to interest

More information

3.1 Itô s Lemma for Continuous Stochastic Variables

3.1 Itô s Lemma for Continuous Stochastic Variables Lecture 3 Log Normal Distribution 3.1 Itô s Lemma for Continuous Stochastic Variables Mathematical Finance is about pricing (or valuing) financial contracts, and in particular those contracts which depend

More information

Guided Study Program in System Dynamics System Dynamics in Education Project System Dynamics Group MIT Sloan School of Management 1

Guided Study Program in System Dynamics System Dynamics in Education Project System Dynamics Group MIT Sloan School of Management 1 D-477- Guided Study Program in System Dynamics System Dynamics in Education Project System Dynamics Group MIT Sloan School of Management Solutions to Assignment #5 October 27, 998 Reading Assignment: Please

More information

Unit 2: Modeling in the Frequency Domain Part 2: The Laplace Transform

Unit 2: Modeling in the Frequency Domain Part 2: The Laplace Transform The Laplace Transform Unit 2: Modeling in the Frequency Domain Part 2: The Laplace Transform Engineering 5821: Control Systems I Faculty of Engineering & Applied Science Memorial University of Newfoundland

More information

Valuation of Asian Option. Qi An Jingjing Guo

Valuation of Asian Option. Qi An Jingjing Guo Valuation of Asian Option Qi An Jingjing Guo CONTENT Asian option Pricing Monte Carlo simulation Conclusion ASIAN OPTION Definition of Asian option always emphasizes the gist that the payoff depends on

More information

::Solutions:: Practice Problem Set: Labor Markets

::Solutions:: Practice Problem Set: Labor Markets ::Solutions:: Practice Problem Set: Labor Markets This is an ungraded assignment. Do not hand in. 1. As background to a consulting assignment, you have been asked to work through an analytical example

More information

Econ 101A Final Exam We May 9, 2012.

Econ 101A Final Exam We May 9, 2012. Econ 101A Final Exam We May 9, 2012. You have 3 hours to answer the questions in the final exam. We will collect the exams at 2.30 sharp. Show your work, and good luck! Problem 1. Utility Maximization.

More information

Laplace Transforms. Euler s Formula = cos θ + j sin θ e = cos θ - j sin θ

Laplace Transforms. Euler s Formula = cos θ + j sin θ e = cos θ - j sin θ Laplace Transforms ENGI 252 e jθ Euler s Formula = cos θ + j sin θ -jθ e = cos θ - j sin θ Euler s Formula jθ -jθ ( e + e ) jθ -jθ ( ) < a > < b > Now add < a > and < b > and solve for cos θ 1 cos θ =

More information

Practical Section 02 May 02, Part 1: Analytic transforms versus FFT algorithm. AnalBoxCar = 2*AB*BW*sin(2*pi*BW*f).

Practical Section 02 May 02, Part 1: Analytic transforms versus FFT algorithm. AnalBoxCar = 2*AB*BW*sin(2*pi*BW*f). 12.714 Practical Section 02 May 02, 2012 Part 1: Analytic transforms versus FFT algorithm (a) For a box car time domain signal with width 2*BW and amplitude BA, compare the analytic version of the Fourier

More information

Sterman, J.D Business dynamics systems thinking and modeling for a complex world. Boston: Irwin McGraw Hill

Sterman, J.D Business dynamics systems thinking and modeling for a complex world. Boston: Irwin McGraw Hill Sterman,J.D.2000.Businessdynamics systemsthinkingandmodelingfora complexworld.boston:irwinmcgrawhill Chapter7:Dynamicsofstocksandflows(p.231241) 7 Dynamics of Stocks and Flows Nature laughs at the of integration.

More information

Response of LTI Systems (Transfer Functions, Partial Fraction Expansion, and Convolution), LTI System Characteristics (Stability and Invertibility)

Response of LTI Systems (Transfer Functions, Partial Fraction Expansion, and Convolution), LTI System Characteristics (Stability and Invertibility) Response of LTI Systems (Transfer Functions, Partial Fraction Expansion, and Convolution), LTI System Characteristics (Stability and Invertibility) where h(t) is an impulse response, is called the system

More information

Write legibly. Unreadable answers are worthless.

Write legibly. Unreadable answers are worthless. MMF 2021 Final Exam 1 December 2016. This is a closed-book exam: no books, no notes, no calculators, no phones, no tablets, no computers (of any kind) allowed. Do NOT turn this page over until you are

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Autumn 2018 Sample Midterm 2c 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 8 pages (including this cover page) and 6 problems. Check to see if any

More information

Solow instead assumed a standard neo-classical production function with diminishing marginal product for both labor and capital.

Solow instead assumed a standard neo-classical production function with diminishing marginal product for both labor and capital. Module 5 Lecture 34 Topics 5.2 Growth Theory II 5.2.1 Solow Model 5.2 Growth Theory II 5.2.1 Solow Model Robert Solow was quick to recognize that the instability inherent in the Harrod- Domar model is

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 2b 2/28/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 10 pages (including this cover page) and 9 problems. Check to see if any

More information

Chapter 4 Variability

Chapter 4 Variability Chapter 4 Variability PowerPoint Lecture Slides Essentials of Statistics for the Behavioral Sciences Seventh Edition by Frederick J Gravetter and Larry B. Wallnau Chapter 4 Learning Outcomes 1 2 3 4 5

More information

Math1090 Midterm 2 Review Sections , Solve the system of linear equations using Gauss-Jordan elimination.

Math1090 Midterm 2 Review Sections , Solve the system of linear equations using Gauss-Jordan elimination. Math1090 Midterm 2 Review Sections 2.1-2.5, 3.1-3.3 1. Solve the system of linear equations using Gauss-Jordan elimination. 5x+20y 15z = 155 (a) 2x 7y+13z=85 3x+14y +6z= 43 x+z= 2 (b) x= 6 y+z=11 x y+

More information

Equalities. Equalities

Equalities. Equalities Equalities Working with Equalities There are no special rules to remember when working with equalities, except for two things: When you add, subtract, multiply, or divide, you must perform the same operation

More information

Exam #2 Review Questions (Answers) ECNS 303 October 31, 2011

Exam #2 Review Questions (Answers) ECNS 303 October 31, 2011 Exam #2 Review Questions (Answers) ECNS 303 October 31, 2011 1.) For Ch. 9 and 10: Review your Ch. 9 and 10 notes, Quiz #6, and any practice problems that were assigned for Ch. 10. 2.) Exogenous vs. Endogenous

More information

Sandringham School Sixth Form. AS Maths. Bridging the gap

Sandringham School Sixth Form. AS Maths. Bridging the gap Sandringham School Sixth Form AS Maths Bridging the gap Section 1 - Factorising be able to factorise simple expressions be able to factorise quadratics The expression 4x + 8 can be written in factor form,

More information

Lastrapes Fall y t = ỹ + a 1 (p t p t ) y t = d 0 + d 1 (m t p t ).

Lastrapes Fall y t = ỹ + a 1 (p t p t ) y t = d 0 + d 1 (m t p t ). ECON 8040 Final exam Lastrapes Fall 2007 Answer all eight questions on this exam. 1. Write out a static model of the macroeconomy that is capable of predicting that money is non-neutral. Your model should

More information

Text transcription of Chapter 5 Measuring a Nation s Income

Text transcription of Chapter 5 Measuring a Nation s Income Text transcription of Chapter 5 Measuring a Nation s Income Welcome to the Chapter 5 Lecture on the Measuring a Nation s Income. We are going to start working with statistics to measure the size of economies

More information

M14/5/MATSD/SP2/ENG/TZ2/XX. mathematical STUDIES. Wednesday 14 May 2014 (morning) 1 hour 30 minutes INSTRUCTIONS TO CANDIDATES

M14/5/MATSD/SP2/ENG/TZ2/XX. mathematical STUDIES. Wednesday 14 May 2014 (morning) 1 hour 30 minutes INSTRUCTIONS TO CANDIDATES M14/5/MATSD/SP2/ENG/TZ2/XX 22147406 mathematical STUDIES STANDARD level Paper 2 Wednesday 14 May 2014 (morning) 1 hour 30 minutes INSTRUCTIONS TO CANDIDATES Do not open this examination paper until instructed

More information

Economics 135. Bond Pricing and Interest Rates. Professor Kevin D. Salyer. UC Davis. Fall 2009

Economics 135. Bond Pricing and Interest Rates. Professor Kevin D. Salyer. UC Davis. Fall 2009 Economics 135 Bond Pricing and Interest Rates Professor Kevin D. Salyer UC Davis Fall 2009 Professor Kevin D. Salyer (UC Davis) Money and Banking Fall 2009 1 / 12 Bond Pricing Formulas - Interest Rates

More information

Lecture 5: Fundamentals of Statistical Analysis and Distributions Derived from Normal Distributions

Lecture 5: Fundamentals of Statistical Analysis and Distributions Derived from Normal Distributions Lecture 5: Fundamentals of Statistical Analysis and Distributions Derived from Normal Distributions ELE 525: Random Processes in Information Systems Hisashi Kobayashi Department of Electrical Engineering

More information

The Greek Letters Based on Options, Futures, and Other Derivatives, 8th Edition, Copyright John C. Hull 2012

The Greek Letters Based on Options, Futures, and Other Derivatives, 8th Edition, Copyright John C. Hull 2012 The Greek Letters Based on Options, Futures, and Other Derivatives, 8th Edition, Copyright John C. Hull 2012 Introduction Each of the Greek letters measures a different dimension to the risk in an option

More information

Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4

Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4 Macroeconomic Analysis ECON 6022A Fall 2011 Problem Set 4 November 2, 2011 1 The price level and money demand Suppose the price level in the economy is P. Real money demand L(Y, i) is the same as we ve

More information

SAMPLE EXAM QUESTIONS FOR FALL 2018 ECON3310 MIDTERM 2

SAMPLE EXAM QUESTIONS FOR FALL 2018 ECON3310 MIDTERM 2 SAMPLE EXAM QUESTIONS FOR FALL 2018 ECON3310 MIDTERM 2 Contents: Chs 5, 6, 8, 9, 10, 11 and 12. PART I. Short questions: 3 out of 4 (30% of total marks) 1. Assume that in a small open economy where full

More information

The Merton Model. A Structural Approach to Default Prediction. Agenda. Idea. Merton Model. The iterative approach. Example: Enron

The Merton Model. A Structural Approach to Default Prediction. Agenda. Idea. Merton Model. The iterative approach. Example: Enron The Merton Model A Structural Approach to Default Prediction Agenda Idea Merton Model The iterative approach Example: Enron A solution using equity values and equity volatility Example: Enron 2 1 Idea

More information

Financial Risk Modeling on Low-power Accelerators: Experimental Performance Evaluation of TK1 with FPGA

Financial Risk Modeling on Low-power Accelerators: Experimental Performance Evaluation of TK1 with FPGA Financial Risk Modeling on Low-power Accelerators: Experimental Performance Evaluation of TK1 with FPGA Rajesh Bordawekar and Daniel Beece IBM T. J. Watson Research Center 3/17/2015 2014 IBM Corporation

More information

Systems of Ordinary Differential Equations. Lectures INF2320 p. 1/48

Systems of Ordinary Differential Equations. Lectures INF2320 p. 1/48 Systems of Ordinary Differential Equations Lectures INF2320 p. 1/48 Lectures INF2320 p. 2/48 ystems of ordinary differential equations Last two lectures we have studied models of the form y (t) = F(y),

More information

Answer Key Practice Final Exam

Answer Key Practice Final Exam Answer Key Practice Final Exam E. Gugl Econ400 December, 011 1. (0 points)consider the consumer choice problem in the two commodity model with xed budget of x: Suppose the government imposes a price of

More information

Algebra II Quiz: Lessons 7.1 through 7.4 Review

Algebra II Quiz: Lessons 7.1 through 7.4 Review Class: Date: Algebra II Quiz: Lessons 7.1 through 7.4 Review Graph: 1. f( x) = 4 x 1 2. Graph the function: f( x) = 3 x 2 a. b. 3 c. d. 3. Find the y-intercept of the equation. y = 3 7 x a. 4 b. 21 c.

More information

MTH302 Solved MCQs. Mth302 - Business Mathematics (Online quiz # 1) 1

MTH302 Solved MCQs.   Mth302 - Business Mathematics (Online quiz # 1) 1 Mth302 - Business Mathematics (Online quiz # 1) 1 The amount added to a cost to arrive at a selling price is Markup margin both markup & margin percent on cost At break even point, the company has a positive

More information

14.02 PRINCIPLES OF MACROECONOMICS Spring Final Exam

14.02 PRINCIPLES OF MACROECONOMICS Spring Final Exam 14.02 PRINCIPLES OF MACROECONOMICS Spring 2002- Final Exam STOP!! READ INSTRUCTIONS FIRST. Read all questions carefully and completely before beginning the exam. There are 13 pages, and 3 sections of the

More information

Getting Started with CGE Modeling

Getting Started with CGE Modeling Getting Started with CGE Modeling Lecture Notes for Economics 8433 Thomas F. Rutherford University of Colorado January 24, 2000 1 A Quick Introduction to CGE Modeling When a students begins to learn general

More information

Professor Christina Romer SUGGESTED ANSWERS TO PROBLEM SET 5

Professor Christina Romer SUGGESTED ANSWERS TO PROBLEM SET 5 Economics 2 Spring 2016 Professor Christina Romer Professor David Romer SUGGESTED ANSWERS TO PROBLEM SET 5 1. The left-hand diagram below shows the situation when there is a negotiated real wage,, that

More information

Pathloss and Link Budget From Physical Propagation to Multi-Path Fading Statistical Characterization of Channels. P r = P t Gr G t L P

Pathloss and Link Budget From Physical Propagation to Multi-Path Fading Statistical Characterization of Channels. P r = P t Gr G t L P Path Loss I Path loss L P relates the received signal power P r to the transmitted signal power P t : P r = P t Gr G t L P, where G t and G r are antenna gains. I Path loss is very important for cell and

More information

X ln( +1 ) +1 [0 ] Γ( )

X ln( +1 ) +1 [0 ] Γ( ) Problem Set #1 Due: 11 September 2014 Instructor: David Laibson Economics 2010c Problem 1 (Growth Model): Recall the growth model that we discussed in class. We expressed the sequence problem as ( 0 )=

More information

Steve Keen s Dynamic Model of the economy.

Steve Keen s Dynamic Model of the economy. Steve Keen s Dynamic Model of the economy. Introduction This article is a non-mathematical description of the dynamic economic modeling methods developed by Steve Keen. In a number of papers and articles

More information

PASS4TEST. IT Certification Guaranteed, The Easy Way! We offer free update service for one year

PASS4TEST. IT Certification Guaranteed, The Easy Way!   We offer free update service for one year PASS4TEST IT Certification Guaranteed, The Easy Way! \ http://www.pass4test.com We offer free update service for one year Exam : BH0-010 Title : BCS Certified Tester Foundation Level 2011 syllabus Vendors

More information

NAME: (write your name here!!)

NAME: (write your name here!!) NAME: (write your name here!!) FIN285a: Computer Simulations and Risk Assessment Midterm Exam II: Wednesday, November 16, 2016 Fall 2016: Professor B. LeBaron Directions: Answer all questions. You have

More information

1. The Flexible-Price Monetary Approach Assume uncovered interest rate parity (UIP), which is implied by perfect capital substitutability 1.

1. The Flexible-Price Monetary Approach Assume uncovered interest rate parity (UIP), which is implied by perfect capital substitutability 1. Lecture 2 1. The Flexible-Price Monetary Approach (FPMA) 2. Rational Expectations/Present Value Formulation to the FPMA 3. The Sticky-Price Monetary Approach 4. The Dornbusch Model 1. The Flexible-Price

More information

The Cost of Float to a Firm: Commercial Banking Treasury Management Analysis

The Cost of Float to a Firm: Commercial Banking Treasury Management Analysis The Cost of Float to a Firm: Commercial Banking Treasury Management Analysis Patricia R. Robertson Case Description This case is ideal for an upper-level finance course that has an emphasis on short-term

More information

Name For those going into. Algebra 1 Honors. School years that begin with an ODD year: do the odds

Name For those going into. Algebra 1 Honors. School years that begin with an ODD year: do the odds Name For those going into LESSON 2.1 Study Guide For use with pages 64 70 Algebra 1 Honors GOAL: Graph and compare positive and negative numbers Date Natural numbers are the numbers 1,2,3, Natural numbers

More information

Fluctuations. Shocks, Uncertainty, and the Consumption/Saving Choice

Fluctuations. Shocks, Uncertainty, and the Consumption/Saving Choice Fluctuations. Shocks, Uncertainty, and the Consumption/Saving Choice Olivier Blanchard April 2005 14.452. Spring 2005. Topic2. 1 Want to start with a model with two ingredients: Shocks, so uncertainty.

More information

Time value of money-concepts and Calculations Prof. Bikash Mohanty Department of Chemical Engineering Indian Institute of Technology, Roorkee

Time value of money-concepts and Calculations Prof. Bikash Mohanty Department of Chemical Engineering Indian Institute of Technology, Roorkee Time value of money-concepts and Calculations Prof. Bikash Mohanty Department of Chemical Engineering Indian Institute of Technology, Roorkee Lecture - 13 Multiple Cash Flow-1 and 2 Welcome to the lecture

More information

EGR 102 Introduction to Engineering Modeling. Lab 09B Recap Regression Analysis & Structured Programming

EGR 102 Introduction to Engineering Modeling. Lab 09B Recap Regression Analysis & Structured Programming EGR 102 Introduction to Engineering Modeling Lab 09B Recap Regression Analysis & Structured Programming EGR 102 - Fall 2018 1 Overview Data Manipulation find() built-in function Regression in MATLAB using

More information

Economics 2010c: -theory

Economics 2010c: -theory Economics 2010c: -theory David Laibson 10/9/2014 Outline: 1. Why should we study investment? 2. Static model 3. Dynamic model: -theory of investment 4. Phase diagrams 5. Analytic example of Model (optional)

More information

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 )

Lecture 4: Opamp Review. Inverting Amplifier (Finite A 0 ) Lecture 4: Opamp eview Effect of fite open-loop ga, A Frequency dependence of open-loop ga Frequency dependence of closed-loop ga Output voltage and current saturation Output slew rate Offset voltage Input

More information

ASX Schools Sharemarket Game

ASX Schools Sharemarket Game The ASX charts When you spend time discovering a company s story and looking at company numbers you are using what is called fundamental analysis. Many people who invest in the sharemarket use fundamental

More information

Specific Objectives. Be able to: Apply graphical frequency analysis for data that fit the Log- Pearson Type 3 Distribution

Specific Objectives. Be able to: Apply graphical frequency analysis for data that fit the Log- Pearson Type 3 Distribution CVEEN 4410: Engineering Hydrology (continued) : Topic and Goal: Use frequency analysis of historical data to forecast hydrologic events Specific Be able to: Apply graphical frequency analysis for data

More information

Math 229 FINAL EXAM Review: Fall Final Exam Monday December 11 ALL Projects Due By Monday December 11

Math 229 FINAL EXAM Review: Fall Final Exam Monday December 11 ALL Projects Due By Monday December 11 Math 229 FINAL EXAM Review: Fall 2018 1 Final Exam Monday December 11 ALL Projects Due By Monday December 11 1. Problem 1: (a) Write a MatLab function m-file to evaluate the following function: f(x) =

More information

Problem Set 1 Due in class, week 1

Problem Set 1 Due in class, week 1 Business 35150 John H. Cochrane Problem Set 1 Due in class, week 1 Do the readings, as specified in the syllabus. Answer the following problems. Note: in this and following problem sets, make sure to answer

More information

AP STATISTICS FALL SEMESTSER FINAL EXAM STUDY GUIDE

AP STATISTICS FALL SEMESTSER FINAL EXAM STUDY GUIDE AP STATISTICS Name: FALL SEMESTSER FINAL EXAM STUDY GUIDE Period: *Go over Vocabulary Notecards! *This is not a comprehensive review you still should look over your past notes, homework/practice, Quizzes,

More information

2) Endpoints of a diameter (-1, 6), (9, -2) A) (x - 2)2 + (y - 4)2 = 41 B) (x - 4)2 + (y - 2)2 = 41 C) (x - 4)2 + y2 = 16 D) x2 + (y - 2)2 = 25

2) Endpoints of a diameter (-1, 6), (9, -2) A) (x - 2)2 + (y - 4)2 = 41 B) (x - 4)2 + (y - 2)2 = 41 C) (x - 4)2 + y2 = 16 D) x2 + (y - 2)2 = 25 Math 101 Final Exam Review Revised FA17 (through section 5.6) The following problems are provided for additional practice in preparation for the Final Exam. You should not, however, rely solely upon these

More information

Page Points Score Total: 100

Page Points Score Total: 100 Math 1130 Spring 2019 Sample Midterm 3a 4/11/19 Name (Print): Username.#: Lecturer: Rec. Instructor: Rec. Time: This exam contains 9 pages (including this cover page) and 9 problems. Check to see if any

More information

University of Illinois at Urbana-Champaign College of Engineering

University of Illinois at Urbana-Champaign College of Engineering University of Illinois at Urbana-Champaign College of Engineering CEE 570 Finite Element Methods (in Solid and Structural Mechanics) Spring Semester 2014 Quiz #1 March 3, 2014 Name: SOLUTION ID#: PS.:

More information

MATH Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms. Kracht. Name: Score: /100. EXAM 2: Version A NO CALCULATORS.

MATH Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms. Kracht. Name: Score: /100. EXAM 2: Version A NO CALCULATORS. MATH 11012 Intuitive Calculus Spring 2011 Circle one: 8:50 5:30 Ms Kracht Name: Score: /100 110 pts available) EXAM 2: Version A NO CALCULATORS Multiple Choice: 10 questions at 3 points each Circle the

More information

A new tool for selecting your next project

A new tool for selecting your next project The Quantitative PICK Chart A new tool for selecting your next project Author Sean Scott, PMP, is an accomplished Project Manager at Perficient. He has over 20 years of consulting IT experience providing

More information

HP12 C CFALA REVIEW MATERIALS USING THE HP-12C CALCULATOR. CFALA REVIEW: Tips for using the HP 12C 2/9/2015. By David Cary 1

HP12 C CFALA REVIEW MATERIALS USING THE HP-12C CALCULATOR. CFALA REVIEW: Tips for using the HP 12C 2/9/2015. By David Cary 1 CFALA REVIEW MATERIALS USING THE HP-12C CALCULATOR David Cary, PhD, CFA Spring 2015 dcary@dcary.com (helpful if you put CFA Review in subject line) HP12 C By David Cary Note: The HP12C is not my main calculator

More information

Hints on Some of the Exercises

Hints on Some of the Exercises Hints on Some of the Exercises of the book R. Seydel: Tools for Computational Finance. Springer, 00/004/006/009/01. Preparatory Remarks: Some of the hints suggest ideas that may simplify solving the exercises

More information

Results are preliminary. Comments welcome.

Results are preliminary. Comments welcome. Estimating high-income tax elasticities using sub-national variation in tax rates Kevin Milligan Vancouver School of Economics University of British Columbia Michael Smart Department of Economics University

More information

Boise State University GEOS 397 Fall 2016

Boise State University GEOS 397 Fall 2016 Homework #3: Hill-slope evolution and plotting Due: 5:00 PM 09/16/16 Please read the following questions carefully and make sure to answer the problems completely. In your MATLAB script(s), please include

More information

E120 MIDTERM Spring Name: (3pts)

E120 MIDTERM Spring Name: (3pts) E20 MIDTERM Spring 207 Name: (3pts) SID: (2pts) Any communication with other students during the exam (including showing, viewing or sharing any writing) is strictly prohibited. Any violation will result

More information

2.1 Mathematical Basis: Risk-Neutral Pricing

2.1 Mathematical Basis: Risk-Neutral Pricing Chapter Monte-Carlo Simulation.1 Mathematical Basis: Risk-Neutral Pricing Suppose that F T is the payoff at T for a European-type derivative f. Then the price at times t before T is given by f t = e r(t

More information

Consumption and Savings (Continued)

Consumption and Savings (Continued) Consumption and Savings (Continued) Lecture 9 Topics in Macroeconomics November 5, 2007 Lecture 9 1/16 Topics in Macroeconomics The Solow Model and Savings Behaviour Today: Consumption and Savings Solow

More information

THE ASX CHARTS. Supplementary lesson 1. Includes: Student lessons. Teacher notes & answers

THE ASX CHARTS. Supplementary lesson 1. Includes: Student lessons. Teacher notes & answers THE ASX CHARTS Supplementary lesson 1 Includes: Student lessons. Teacher notes & answers Supplementary Teacher Notes: THE ASX CHARTS The ASX charts Introduction: This lesson introduces students to the

More information

Period State of the world: n/a A B n/a A B Endowment ( income, output ) Y 0 Y1 A Y1 B Y0 Y1 A Y1. p A 1+r. 1 0 p B.

Period State of the world: n/a A B n/a A B Endowment ( income, output ) Y 0 Y1 A Y1 B Y0 Y1 A Y1. p A 1+r. 1 0 p B. ECONOMICS 7344, Spring 2 Bent E. Sørensen April 28, 2 NOTE. Obstfeld-Rogoff (OR). Simplified notation. Assume that agents (initially we will consider just one) live for 2 periods in an economy with uncertainty

More information

Name: Manuel Hernandez July 14, 2006

Name: Manuel Hernandez July 14, 2006 (1) Making projections: A spreadsheet program stores and calculates information in a structured array of data cells. By defining relationships between information in cells, a user can see the effects of

More information

004: Macroeconomic Theory

004: Macroeconomic Theory 004: Macroeconomic Theory Lecture 14 Mausumi Das Lecture Notes, DSE October 21, 2014 Das (Lecture Notes, DSE) Macro October 21, 2014 1 / 20 Theories of Economic Growth We now move on to a different dynamics

More information

SOCIETY OF ACTUARIES Quantitative Finance and Investment Advanced Exam Exam QFIADV AFTERNOON SESSION

SOCIETY OF ACTUARIES Quantitative Finance and Investment Advanced Exam Exam QFIADV AFTERNOON SESSION SOCIETY OF ACTUARIES Exam Exam QFIADV AFTERNOON SESSION Date: Thursday, April 26, 2018 Time: 1:30 p.m. 3:45 p.m. INSTRUCTIONS TO CANDIDATES General Instructions 1. This afternoon session consists of 6

More information

Comments of The Hunt for Duration: Not Waving but Drowning?

Comments of The Hunt for Duration: Not Waving but Drowning? 16TH JACQUES POLAK ANNUAL RESEARCH CONFERENCE NOVEMBER 5 6, 2015 Comments of The Hunt for Duration: Not Waving but Drowning? Sergio Schmukler World Bank Paper presented at the 16th Jacques Polak Annual

More information

YEAR 12 Trial Exam Paper FURTHER MATHEMATICS. Written examination 1. Worked solutions

YEAR 12 Trial Exam Paper FURTHER MATHEMATICS. Written examination 1. Worked solutions YEAR 12 Trial Exam Paper 2018 FURTHER MATHEMATICS Written examination 1 Worked solutions This book presents: worked solutions explanatory notes tips on how to approach the exam. This trial examination

More information

Firrhill High School. Mathematics Department. Level 5

Firrhill High School. Mathematics Department. Level 5 Firrhill High School Mathematics Department Level 5 Home Exercise 1 - Basic Calculations Int 2 Unit 1 1. Round these numbers to 2 significant figures a) 409000 (b) 837500000 (c) 562 d) 0.00000009 (e)

More information

Forwards and Futures. Chapter Basics of forwards and futures Forwards

Forwards and Futures. Chapter Basics of forwards and futures Forwards Chapter 7 Forwards and Futures Copyright c 2008 2011 Hyeong In Choi, All rights reserved. 7.1 Basics of forwards and futures The financial assets typically stocks we have been dealing with so far are the

More information

Suggested Solutions to Assignment 2 (Optional)

Suggested Solutions to Assignment 2 (Optional) EC 370 Intermediate Microeconomics II Instructor: harif F. Khan Department of Economics Wilfrid Laurier University pring 008 uggested olutions to Assignment (Optional) Total Marks: 50 Part A True/ False/

More information

The Stock Market Crash Really Did Cause the Great Recession

The Stock Market Crash Really Did Cause the Great Recession The Stock Market Crash Really Did Cause the Great Recession Roger E.A. Farmer Department of Economics, UCLA 23 Bunche Hall Box 91 Los Angeles CA 9009-1 rfarmer@econ.ucla.edu Phone: +1 3 2 Fax: +1 3 2 92

More information

The Monthly Payment. ( ) ( ) n. P r M = r 12. k r. 12C, which must be rounded up to the next integer.

The Monthly Payment. ( ) ( ) n. P r M = r 12. k r. 12C, which must be rounded up to the next integer. MATH 116 Amortization One of the most useful arithmetic formulas in mathematics is the monthly payment for an amortized loan. Here are some standard questions that apply whenever you borrow money to buy

More information

On the provision of incentives in finance experiments. Web Appendix

On the provision of incentives in finance experiments. Web Appendix On the provision of incentives in finance experiments. Daniel Kleinlercher Thomas Stöckl May 29, 2017 Contents Web Appendix 1 Calculation of price efficiency measures 2 2 Additional information for PRICE

More information

3: Balance Equations

3: Balance Equations 3.1 Balance Equations Accounts with Constant Interest Rates 15 3: Balance Equations Investments typically consist of giving up something today in the hope of greater benefits in the future, resulting in

More information

Alg2A Factoring and Equations Review Packet

Alg2A Factoring and Equations Review Packet 1 Factoring using GCF: Take the greatest common factor (GCF) for the numerical coefficient. When choosing the GCF for the variables, if all the terms have a common variable, take the one with the lowest

More information

Numeracy Booklet A guide for pupils, parents and staff

Numeracy Booklet A guide for pupils, parents and staff Numeracy Booklet A guide for pupils, parents and staff The aim of this booklet is to ensure that there is a consistent approach throughout the academy and at home on basic mathematical concepts Place Value

More information

ECO 100Y L0101 INTRODUCTION TO ECONOMICS. Midterm Test #2

ECO 100Y L0101 INTRODUCTION TO ECONOMICS. Midterm Test #2 Department of Economics Prof. Gustavo Indart University of Toronto December 3, 2004 SOLUTIONS ECO 100Y L0101 INTRODUCTION TO ECONOMICS Midterm Test #2 LAST NAME FIRST NAME STUDENT NUMBER INSTRUCTIONS:

More information