Exam 2 Review. Review The final exam will be comprehensive. It will cover material in the text book from Chapters 1 – 6. It will also cover material not.

Slides:

Advertisements

Similar presentations

Modeling of Complex Social Systems MATH 800 Fall 2011.

Advertisements

Mark Dixon Page 1 13 – Coursework 2 Debrief: Spanish Words.

Mark Dixon, SoCCE SOFT 131Page 1 13 – Coursework 2 Debrief: Numbers Game.

ITC242 – Introduction to Data Communications ITC431 – Computer Networks Week 13 Exam Preparation.

Preparing for Major Tests: Developing a Five Day Study Plan

Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous for.

Computer Graphics (Fall 2008) COMS 4160, Lecture 3: Transformations 1

CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Course outline and schedule Introduction (Sec )

Computer Graphics (Fall 2004) COMS 4160, Lecture 3: Transformations 1

Mark Dixon Page 1 22 – Coursework 2 Debrief: Phonics.

Final Exam Monday, May 10 10:00-11:50 AM room 101 WWH.

CS 581: Introduction to the Theory of Computation Lecture 1 James Hook Portland State University

© 2005 Baylor University Slide 1 Course Introduction Fundamentals of Engineering Analysis Approximate Running Time - 5 minutes Distance Learning / Online.

9/5/2015 Spring Introduction to Engineering 161 Engineering Practices II Joe Mixsell Phone:

Numerics with Geogebra in High School dr Dragoslav Herceg dr Đorđe Herceg Faculty of Science and Mathematics Novi Sad, Serbia {hercegd |

General information CSE : Probabilistic Analysis of Computer Systems

CS 103 Discrete Structures Lecture 01 Introduction to the Course

Population Modeling Mathematical Biology Lecture 2 James A. Glazier (Partially Based on Brittain Chapter 1)

TEST 1 REVIEW. Single Species Discrete Equations Chapter 1 in Text, Lecture 1 and 2 Notes –Homogeneous (Bacteria growth), Inhomogeneous (Breathing model)

Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous for.

CS 115 QUIZ # 1 INFORMATION Scheduled for TUESDAY 9/22/15 1.

Applied Numerical Method for Engineers and Scientists

Review of MA3264 Exam matters –Time: 25 April 2011, Wednesday, PM Paper (1:00—3:00pm) –Venue: Cinnamon Chua TP Hall (U-Town) –Style: open book exam; bring.

Synthesis ENGR 1181 MATLAB 11. Topics  No new material  Covers topics that will be on the Midterm 2 Exam MATLAB 01 – Program Design MATLAB 02 – Introduction.

The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Introduction Course Outline.

BIO 416K Vertebrate Physiology I Dr. Cynthia Gill  Syllabus  Course overview  Cells and graphs.

1 Welcome Alireza Moghaddam Humber College Lecture 1 Game 540 Alireza Moghaddam

1 Final Review. 2 Final Exam  30% of your grade for the course  December 9 at 7:00 p.m., the regular class time  No makeup exam or alternate times.

 Course Overview Distributed Systems IT332. Course Description  The course introduces the main principles underlying distributed systems: processes,

CS 345 – Software Engineering Nancy Harris ISAT/CS 217

Before Exams. Copyright © Houghton Mifflin Company. All rights reserved.8 | 2 Test Questions to Ask Before an Exam Tuesday.

Solving equations with polynomials – part 2. n² -7n -30 = 0 ( )( )n n 1 · 30 2 · 15 3 · 10 5 · n + 3 = 0 n – 10 = n = -3n = 10 =

BOOK FOLLOWED  To develop the understanding of number concepts  To understand the four fundamental operations and perform them with speed and accuracy.

Biomedical Control Systems (BCS) Module Leader: Dr Muhammad Arif muhammadarif Batch: 10 BM Year: 3 rd Term: 2 nd Credit Hours (Theory):

Solve by Factoring Zero Product Property.

Solve Equations with Rational Coefficients. 1.2x = 36 Check your answer = x Check 1.2x = (30) = 36 ? 36 = 36 ? 120 = -0.24y

Data Structures and Algorithms in Java AlaaEddin 2012.

Chapter 11 Digital Control Systems

Review Etc.. Modified Tumor-Immune Model Dimensional Analysis Effective growth rate for tumor cells (density) 1/3 /time Carrying capacity for tumor cells.

CompSci 101 Introduction to Computer Science November 11, 2014 Prof. Rodger CompSci 101 Fall Review for exam.

1 Web Search Who are the different people often involved in making a computer or video game? 2 Web Search/Thinkin g What is programming? Why would.

Lecture 2: The Laplace Transform Laplace transform definition Laplace transform properties Relation between time and Laplace domains Initial and Final.

2.3 solving multi-step equations. Review combining like terms Term-- the individual item(s) being added or subtracted. Example: 3x + 5x Example: 5y –

Things I expect you will be able to explain on the final exam.

Final Exam Information These slides and more detailed information will be posted on the webpage later…

Section Setting Up Word Problems. Lesson Objective: Students will: Learn to set up the type of complicated word problems that are often found in.

MDM4U Final Exam Wednesday, January 26 th, 2011, RM 231.

Algebra 1 Keystones Eligible Content Test Design Performance Level Indicators.

Welcome to General Biology II!

Control Systems, COSY231 House Keeping Introductions.

Welcome to CS 1010! Algorithmic Problem Solving.

Welcome to CS 1340! Computing for scientists.

Regents Review.

Welcome to CS 1010! Algorithmic Problem Solving.

TERM 181 IMPORTANT INFORMATION

Chapter 0 The Course Plan.

Chapter 0 The Course Plan.

Solve Linear Systems Algebraically (part 2) Elimination

Chapter 1 Real Numbers.

Ask yourself questions like: How many players will there be?

Equation Competition Each student will solve the equations.

Notes Over 11.2 Number Compared to Base is Unknown

Exam1 Review CSE113 B.Ramamurthy 2/16/2019 B.Ramamurthy.

Solving Two-Step Equations pages 348 – 351

Pre-Calc Tuesday A#12.1 page 763 #17-45 odd

Programming assignment #1 Solving an elliptic PDE using finite differences Numerical Methods for PDEs Spring 2007 Jim E. Jones.

Solving a System of Linear Equations

Unit 2 – Section 1 “Solving One-Step Equations”

Presentation transcript:

Exam 2 Review

Review The final exam will be comprehensive. It will cover material in the text book from Chapters 1 – 6. It will also cover material not in the text book that was provided to you in the lecture notes. Please see the Exam 1 review for what to expect from chapters –All of that information still applies

Review – Discrete Models Exam 1 –Covered some mathematical and graphical aspects of discrete equations (problem 1) Exam 2 –Will likely cover modeling aspects of discrete equations Model development, analysis, and interpretation

Review – Continuous Models Exam 1 –Covered some model analysis and interpretation for single-species continuous equations (problem 2 - Harvesting) Exam 2 –This is also fair game for Exam 2 Instead of leading you through the mathematics, I may ask you a biological question and you will need to decide what mathematics to do to answer that question

Review – Continuous Models Exam 1 –Covered the analysis of a system of two equations (problem 3) Exam 2 –This is also fair game for Exam 2 –Some items that were not on Exam 1 that will very likely be included on Exam 2 are: Nondimensionalization Produce a phase portrait – by hand Produce a bifurcation diagram

Review – Continuous Models Exam 1 –No model development Exam 2 –This is fair game for Exam 2 From the description of a biological problem, you should be able to derive a system of equations to model it –We’ve had several group modeling sessions to practice this skill

Review Continuous Models Exam 1 –No computational component Exam 2 –This is fair game for Exam 2 –Be comfortable writing MATLAB code that solves single ODEs as well as systems of two or more equations –NO pplane

Review – Specifics Chapter 6: 6.1 – 6.4 and 6.6 –Interacting Species Predator-Prey (Lab 5, Ch 6.2) Competition (Chapter 6.3 Assigned Reading) –Multiple Species Models Lecture notes and chapter 6.4 –SIR Models (Ch 6.6 and lecture notes) Be able to recognize, develop, analyze and interpret the results from these types of models

Review - Specifics Multispecies Model Analysis –Jacobian Matrix of Partial Derivatives –Characteristic Polynomial –Stability Criteria Routh-Hurwitz Criteria – Chapter 6.4 page 234

Review – Specifics SIR Models –Model development –Model reduction –Conditions for an epidemic –Properties of an epidemic Severity How many get infected etc