SRJC Course Outlines

10/1/2020 4:56:20 AMMATH 2 Course Outline as of Fall 2014

Changed Course
CATALOG INFORMATION

Discipline and Nbr:  MATH 2Title:  CALCULUS 4  
Full Title:  Calculus, Fourth Course-Differential Equations
Last Reviewed:9/14/2020

UnitsCourse Hours per Week Nbr of WeeksCourse Hours Total
Maximum3.00Lecture Scheduled3.0017.5 max.Lecture Scheduled52.50
Minimum3.00Lab Scheduled017.5 min.Lab Scheduled0
 Contact DHR0 Contact DHR0
 Contact Total3.00 Contact Total52.50
 
 Non-contact DHR0 Non-contact DHR Total0

 Total Out of Class Hours:  105.00Total Student Learning Hours: 157.50 

Title 5 Category:  AA Degree Applicable
Grading:  Grade Only
Repeatability:  00 - Two Repeats if Grade was D, F, NC, or NP
Also Listed As: 
Formerly:  MATH 2B

Catalog Description:
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First and second order differential equations with applications, series solutions, numerical methods, introduction to Laplace transforms, systems of differential equations with applications.

Prerequisites/Corequisites:
Course Completion of MATH 1C OR MATH 2A


Recommended Preparation:

Limits on Enrollment:

Schedule of Classes Information
Description: Untitled document
First and second order differential equations with applications, series solutions, numerical methods, introduction to Laplace transforms, systems of differential equations with applications.
(Grade Only)

Prerequisites:Course Completion of MATH 1C OR MATH 2A
Recommended:
Limits on Enrollment:
Transfer Credit:CSU;UC.
Repeatability:00 - Two Repeats if Grade was D, F, NC, or NP

ARTICULATION, MAJOR, and CERTIFICATION INFORMATION

Associate Degree:Effective:Fall 1981
Inactive: 
 Area:B
MC
Communication and Analytical Thinking
Math Competency
 
CSU GE:Transfer Area Effective:Inactive:
 
IGETC:Transfer Area Effective:Inactive:
 
CSU Transfer:TransferableEffective:Fall 1981Inactive:
 
UC Transfer:TransferableEffective:Fall 1981Inactive:
 
C-ID:
 CID Descriptor: MATH 240 Ordinary Differential Equations SRJC Equivalent Course(s): MATH2

Certificate/Major Applicable: Major Applicable Course



COURSE CONTENT

Student Learning Outcomes:
Upon completion of the course, students will be able to:
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1.   Identify and solve ordinary differential equations and initial value problems using
     analytical and numerical methods.
2.   Identify and solve systems of differential equations.
3.   Model and solve applied problems using differential equations and systems of
     differential equations.

Objectives: Untitled document
Upon completion of the course, students will be able to:
1.   Classify differential equations as to order, type, and kind.
2.   Use slope fields to provide a qualitative analysis of the solutions to a differential equation.
3.   Solve homogeneous and exact first-order linear differential equations, including initial value problems.
4.   Solve separable first-order differential equations, including initial value problems.
5.   Apply the existence and uniqueness theorems for ordinary differential equations.
6.   Use the Wronskian to identify sets of fundamental solutions to higher order linear differential equations.
7.   Solve homogeneous and non-homogeneous linear differential equations of second and higher order using
       various  techniques such as variation of parameters, undetermined coefficients and the annihilator method.
8.   Solve ordinary differential equations using numerical methods such as Euler's method and the method of
      Runge-Kutta.
9.   Apply techniques of solving differential equations and initial value problems to at least three out of the five
      following applications.
      a)  mixture problems
      b)  electrical circuits
       c)  population modeling
       d)  inductance, resistance and capacitance, LRC circuits
      e)  forced oscillations.
10.   Solve initial value problems using the methods of Laplace transforms.
11. Solve systems of differential equations.
12. Solve differential equations using power series methods.

Topics and Scope
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I.    Ordinary Differential Equations
       A. Linear differential equations with applications
       B. Separable differential equations
       C. Slope fields
       D. Existence and uniqueness of solutions
       E. Use of Wronskian
       F. Numerical methods including 4th order Runge-Kutta
II.   Introduction to Laplace Transforms
       A. Laplace transform and inverse
       B. Use of tables
       C. Application to linear differential equations
III.  Series Solutions to Differential Equations
       Taylor series solutions to differential equations
IV.  Systems of Differential Equations
       A. Analysis of phase portraits
       B. Solution by matrices
       C. The operator method or Laplace transforms
       D. Use of systems to solve higher order linear ordinary differential
            equations
       E. Applications
            1. coupled spring-mass systems
            2. compartment analysis
            3. other applications

Assignments:
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1.  Daily reading outside of class (20-50 pages per week).
2.  Problem set assignments from required text(s) or supplementary
     materials chosen by the instructor (1-6 per week).
3.  Quizzes (0-4 per week).
4.  Exams (3-8 per term).
5.  Projects (for example, computer explorations or modeling activities, 0-10 per term).

Methods of Evaluation/Basis of Grade.
Writing: Assessment tools that demonstrate writing skill and/or require students to select, organize and explain ideas in writing.Writing
0 - 0%
None
This is a degree applicable course but assessment tools based on writing are not included because problem solving assessments are more appropriate for this course.
Problem solving: Assessment tools, other than exams, that demonstrate competence in computational or non-computational problem solving skills.Problem Solving
5 - 20%
Problem set assignments
Skill Demonstrations: All skill-based and physical demonstrations used for assessment purposes including skill performance exams.Skill Demonstrations
0 - 0%
None
Exams: All forms of formal testing, other than skill performance exams.Exams
70 - 95%
Multiple choice and free response exams; quizzes
Other: Includes any assessment tools that do not logically fit into the above categories.Other Category
0 - 20%
Projects


Representative Textbooks and Materials:
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Differential Equations and Boundary Value Problems, Computing and Modeling, 4th ed. by Edwards and Penney. Pearson Education, Inc. 2008
A First Course in Differential Equations, 9th ed. by Zill. Cengage Learning, 2008
Elementary Differential Equations, 8th ed. by Rainville, Bedient and Bedient. Prentice Hall, 1997 (classic)

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