MATH 450H Course Syllabus - fall 2012

NJIT Academic Integrity CODE:  All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly.  This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams.  Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor.

 

Math 450-H01:  Methods of Applied Mathematics I (Capstone)

 

Number of Credits:  3

 

Course Description:  Combines mathematical modeling with physical and computational experiments conducted in the Undergraduate Mathematics Computing Laboratory.

Prerequisites:  Math 331, Math 337, and Math 340 with a grade of C or better.

 

 

Textbook:  There is no book which would cover the whole course. We will be using various books which are familiar from previous classes, as well as handouts. Here is a suggested list of useful books:

Reference Books:

  • R. Haberman, Mathematical models: mechanical vibrations, population dynamics, and traffic flow: An introduction to applied mathematics; ISBN: 0898714087.

  • Boyce and DiPrima: Elementary Differential Equations;

  • Lin and Segel: Mathematics Applied to Deterministic Problems in the Natural Sciences; ISBN: 0898712297.

  • Farlow: Partial Differential Equations for Scientists and Engineers; ISBN 048667620X.

If you still have the textbooks from the following courses, that would be a plus:

 

-Haberman from Math 331 (PDE),

-Strogatz from Math 473 (Nonlinear Dynamics and Chaos) -Brown & Churchill from Math 332 (Complex variables)

 

Course Objectives:

 

Learn fundamental tools of applied mathematics used to solve problems from linear and nonlinear physics, including analytical, numerical, and asymptotic methods. Perform physics experiments, make predictions, and understand the results using the above techniques.

 Specifically, a successful student should be able to:

- analyze and understand the dynamics of the mass-spring system, the pendulum, and other simple mechanical systems using perturbation methods, phase-plane analysis, and numerical simulation.

- derive ODE's for simple mechanical models using Newton's laws or variational methods

- conduct simple experiments, analyze them, and present the results in a lab report

- understand and apply the basic theory of chaotic dynamics

- understand Laplace's equation as the governing PDE of electrostatics and be able to apply different tools to its study

 

Capstone Attendance Policy: In this course, we will do physics experiments, and you will be required to turn in lab reports. Unexcused absences on lab days will result in the student receiving zero credit for the lab they miss.

 

Instructor:   (for specific course-related information, follow the link below)

 

Math 450-H01

Prof. Goodman

 

 

Grading Policy:  The final grade in this course will be determined as follows: 

Homework & Projects:

40%

Quizzes:

15%

Midterm Exam:

15%

Final Exam:

30%

 

Drop Date:  Please note that the University Drop Date November 6, 2012 deadline will be strictly enforced.

Examinations:  There will be one midterm exam and one final exam during the final exam week. Exams are held on the following days:

Exam 1:

October 17, 2012

Final Exam Week:

December 14-20, 2012

 


 

MATH DEPARTMENT CLASS POLICIES LINK 

All DMS students must familiarize themselves with and adhere to the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly. For DMS Course Policies, please click here.

September 3, 2012

M

Labor Day ~ No classes

November 6, 2012

T

Last Day to Withdraw from this course

November 20, 2012

T

Classes follow a Thursday Schedule

November 21, 2012

W

Classes follow a Friday Schedule

November 22-25, 2012

R-Su

Thanksgiving Recess

December 13, 2012

R

Reading Day

December  14-20, 2012

F- R

Final Exams


 

Course Outline:

(Each topic includes experimental demonstration)

 

 

MECHANICS:

 

http://m.njit.edu/Images/21.gif     Introduction

http://m.njit.edu/Images/21.gif     Methods of Applied Mathematics

http://m.njit.edu/Images/21.gif     Mass-spring system

http://m.njit.edu/Images/21.gif     Motivation

http://m.njit.edu/Images/21.gif     Overview of experimental setup & of basic ODE's

http://m.njit.edu/Images/21.gif     Simple dimensional analysis

http://m.njit.edu/Images/21.gif     Damped, underdamped & overdamped oscillations

http://m.njit.edu/Images/21.gif     Driven oscillations

http://m.njit.edu/Images/21.gif     Introduction to nonlinear oscillations

http://m.njit.edu/Images/21.gif     Perturbation methods for nonlinear oscillations

http://m.njit.edu/Images/21.gif     Separation of time scales

http://m.njit.edu/Images/22.gif     Introduction to phase plane analysis

http://m.njit.edu/Images/22.gif     Critical points

http://m.njit.edu/Images/22.gif     Stability

http://m.njit.edu/Images/22.gif     Double pendulum

http://m.njit.edu/Images/22.gif     Normal mode analysis

http://m.njit.edu/Images/22.gif     Large-Amplitude chaotic motion

http://m.njit.edu/Images/22.gif     Resonances

http://m.njit.edu/Images/22.gif     Parametric Resonance

http://m.njit.edu/Images/22.gif     The Mthieu equation

ELECTROSTATICS:

http://m.njit.edu/Images/21.gif     Electrostatic potential in regular and irregular
      domains

http://m.njit.edu/Images/21.gif     Introduction to experimental setup

http://m.njit.edu/Images/21.gif     Derivation of Laplace equation for potential

http://m.njit.edu/Images/21.gif     Discussion of elliptic PDE's

http://m.njit.edu/Images/22.gif     Different methods for solving Laplace equation:

http://m.njit.edu/Images/21a.gif     Separation of variables,

http://m.njit.edu/Images/21a.gif     Conformal mapping,

http://m.njit.edu/Images/21a.gif     Finite difference, and

http://m.njit.edu/Images/21a.gif     Monte-Carlo methods

computation:

http://m.njit.edu/Images/21.gif     Numerical solution of ODE's

http://m.njit.edu/Images/21.gif     Parameter fitting of ODE models to experimental data

http://m.njit.edu/Images/21.gif     Image-processing of physics experiments

http://m.njit.edu/Images/22.gif     Gauss-Newton iteration for umerical             solution of nonlinear least-squares problems

 

Final EXAM WEEK:  December 14-20, 201

 

Prepared By:  Prof. Roy Goodman

Last revised:  August 14, 2012

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