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Math 322: Differential Equations for Applications
Spring 2019 Course Syllabus

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.

Course Information

Course Description: An applied science study using differential equations as the vehicle for comprehension of the unknown. Introduction to first-order differential equations and their applications to motion, cooling and electromechanical systems followed by higher order differential equations and their solutions. Study of methods of undetermined coefficients, variation of parameters, and many series and numerical methods. Includes Laplace transforms, matrix methods, and eigenvalue problems.

Number of Credits: 3

Prerequisites: MATH 112 with a grade of C or better or MATH 133 with a grade of C or better or MATH 238 with a grade C or better.

Course-Section and Instructors

Course-Section Instructor
Math 322-002 Professor R. Plastock
Math 322-004 Professor R. Plastock
Math 322-006 Professor R. Plastock
Math 322-102 Professor R. Plastock

Office Hours for All Math Instructors: Spring 2019 Office Hours and Emails

Required Textbook:

Title Differential Equations w/ Boundary-Value Problems (Bundle w/ WebAssign)
Author Dennis G. Zill and Warren S. Wright
Edition 9th
Publisher Pearson
ISBN # 978-1337604901
Technology Laptop Computer

University-wide Withdrawal Date: The last day to withdraw with a W is Monday, April 8, 2019. It will be strictly enforced.

Course Goals

Course Objectives

Course Outcomes


DMS Course Policies: 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.

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

Quizzes 15%
Midterm Exam I 25%
Midterm Exam II 25%
Final Exam 35%

Your final letter grade will be based on the following tentative curve. NOTE: This curve may be adjusted slightly at the end of the semester.

A 90 - 100 C 60 - 69
B+ 85 - 89 D 50 - 59
B 80 - 84 F 0 - 49
C+ 70 - 79

Attendance Policy: Attendance at all classes will be recorded and is mandatory. Please make sure you read and fully understand the Math Department’s Attendance Policy. This policy will be strictly enforced.

Exams: There will be two midterm exams held in class during the semester and one comprehensive final exam. Exams are held on the following weeks:

Midterm Exam I Week 5
Midterm Exam II Week 10
Final Exam Period May 10 - 16, 2019

The final exam will test your knowledge of all the course material taught in the entire course. Make sure you read and fully understand the Math Department's Examination Policy. This policy will be strictly enforced.

Makeup Exam Policy: There will be No make-up QUIZZES OR EXAMS during the semester. In the event an exam is not taken under rare circumstances where the student has a legitimate reason for missing the exam, the student should contact the Dean of Students office and present written verifiable proof of the reason for missing the exam, e.g., a doctor’s note, police report, court notice, etc. clearly stating the date AND time of the mitigating problem. The student must also notify the Math Department Office/Instructor that the exam will be missed.

Cellular Phones: All cellular phones and other electronic devices must be switched off during all class times.

Additional Resources

Math Tutoring Center: Located in the Central King Building, Lower Level, Rm. G11 (See: Spring 2019 Hours)

Further Assistance: For further questions, students should contact their instructor. All instructors have regular office hours during the week. These office hours are listed on the Math Department's webpage for Instructor Office Hours and Emails.

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

Accommodation of Disabilities: Disability Support Services (DSS) offers long term and temporary accommodations for undergraduate, graduate and visiting students at NJIT.

If you are in need of accommodations due to a disability please contact Chantonette Lyles, Associate Director of Disability Support Services at 973-596-5417 or via email at The office is located in Fenster Hall Room 260. A Letter of Accommodation Eligibility from the Disability Support Services office authorizing your accommodations will be required.

For further information regarding self identification, the submission of medical documentation and additional support services provided please visit the Disability Support Services (DSS) website at:

Important Dates (See: Spring 2019 Academic Calendar, Registrar)

Date Day Event
January 22, 2019 T First Day of Classes
February 1, 2019 F Last Day to Add/Drop Classes
March 17 - 24, 2019 Su - Su Spring Recess - No Classes, NJIT Open
April 8, 2019 M Last Day to Withdraw
April 19, 2019 F Good Friday - No Classes, NJIT Closed
May 7, 2019 T Friday Classes Meet/ Last Day of Classes
May 8 & 9, 2019 W & R Reading Days
May 10 - 16, 2019 F - R Final Exam Period

Course Outline

Week Section Topic
1 Review of Calculus Differentiation, integration, Partial differentiation
2 1.1,.1.2, 1.3 Initial value probs.,Differential Equations
3 2.1,2,2,2.3,2.4  Separable Equations, Linear Equations, Exact equations
4 2.5,3.1,3.2,3,3 Solutions, Linear and Nonlinear Models Second order linear equations
5 4,1,4,2,4,3 Linear Equations, Homogeneous Equations
Midterm Exam I
6 4.4,4.5, 4.6 Undetermined Coefficients, Variation of Parameter
7 5.1,5,2,5.3 Linear Models, Spring/Mass Systems, Nonlinear Models
8 6.1, 6.2,6.3 Power Series, Solutions about Ordinary and Singular Points
9 7.1, 7.2, 7.3 Laplace Transforms, Inverse Transforms
10 Review
11 8.1,8.2 Homogeneous  Linear Systems 
12 8.3 Nonhomogeneous Linear Systems
13 9.1 Numerical Solutions, Euler Methods
14 9.2 Runga-Kutta Methods

Updated by Professor R. Plastock - 1/21/2019
Department of Mathematical Sciences Course Syllabus, Spring 2019