Official Course Description
MATH 3195. Linear Algebra and Differential Equations.
Presents the essential ideas and methods of linear algebra and differential equations, emphasizing the connections between and the applications of both subjects. The course is designed for students in the sciences and engineering. Note: No co-credit with MATH 3200 and MATH 3191. Prereq: MATH 2411. Semester Hours: 4 to 4
Section Details - MATH 3195 - 003
Textbooks
Required
Differential Equations and Linear Algebra
by C. Henry Edwards and David E. Penney,
Pearson 2010 (3d edition)
ISBN-10: 0136054250 ISBN-13: 9780136054252
Also available packages:
Package ISBN-10: 0321668464 | ISBN-13: 9780321668462
2010 | Instock
Suggested retail price: $136.67 Buy from myPearsonStore
This package contains:
Edwards | 2010 | Pearson | Paper; 340 pp
Package ISBN-10: 0321689038 | ISBN-13: 9780321689030
2010 | Instock
Suggested retail price: $133.33 Buy from myPearsonStore
This package contains:
Edwards & Penney | 2010 | Pearson | Paper; 250 pp
GRADING
Grading will be based on 3 in-class and 2 take-home quizzes, 10% each, the worst dropped (40% total), and the final in-class test 60%. An optional MATLAB project (due during class time on Dec 9) will add 20% extra credit.No make-ups or late work, except for extraordinary and documented situations. A linear scale for grades will be used with no curving.
| % | 0-20% | 21-40% | 41-60% | 61-80% | 81-100% | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Metro | F | D | C | B | A | |||||||
| % | 0-20% | 21-27% | 28-34% | 35-40% | 41-47% | 48-54% | 55-60% | 61-67% | 68-74% | 75-80% | 81-90% | 91-100% |
| UCD | F | D- | D | D+ | C- | C | C+ | B- | B | B+ | A- | A |
TENTATIVE CONTENTS
The class is planned to follow the outline below, touching on each major topic in a depth that will be determined by the pace of the class. The dates are tentative and may be subject to change.
CHAPTER 1. First-Order Differential Equations
1.1 Differential Equations and Mathematical Models Aug 24
1.2 Integrals as General and Particular Solutions Aug 26
1.3 Slope Fields and Solution Curves Aug 31
1.4 Separable Equations and Applications Sept 2
1.5 Linear First-Order Equations Sept 7
CHAPTER 2. Mathematical Models and Numerical Methods
2.1 Population Models (Optional, independent reading)
2.2 Equilibrium Solutions and Stability (Optional, independent reading)
2.3 Acceleration-Velocity Models (Optional, independent reading)
2.4 Numerical Approximation: Euler's Method Sept 9
In-class Quiz 1. Sept 14
CHAPTER 3. Linear Systems and Matrices
3.1 Introduction to Linear Systems Sept 16
3.2 Matrices and Gaussian Elimination Sept 16
3.3 Reduced Row-Echelon Matrices Sept 21
3.4 Matrix Operations Sept 23
3.5 Inverses of Matrices Sept 28
3.6 Determinants Sept 30
In-class Quiz 2. Oct 5
CHAPTER 4. Vector Spaces
4.1 The Vector Space R3 Oct 7
4.2 The Vector Space Rn and Subspaces Oct 12
4.3 Linear Combinations and Independence of Vectors Oct 14
4.4 Bases and Dimension for Vector Spaces Oct 19
4.5 Row and Column Spaces Oct 21
4.6 Orthogonal Vectors in Rn Oct 26
4.7 General Vector Spaces Oct 28
Take-home Quiz 3. Due Nov 4 during class time
CHAPTER 5. Higher-Order Linear Differential Equations
5.1 Introduction: Second-Order Linear Equations Nov 2
5.2 General Solutions of Linear Equations Nov 4
5.3 Homogeneous Equations with Constant Coefficients Nov 9
5.4 Mechanical Vibrations (Optional, independent reading)
5.5 Nonhomogeneous Equations and Undetermined Coefficients Nov 9
Take-home Quiz 4. Due Nov 18 during class time
CHAPTER 6. Eigenvalues and Eigenvectors
6.1 Introduction to Eigenvalues Nov 11
6.2 Diagonalization of Matrices Nov 11
CHAPTER 7. Linear Systems of Differential Equations
7.1 First-Order Systems and Applications Nov 16
7.2 Matrices and Linear Systems Nov 16
7.3 The Eigenvalue Method for Linear Systems Nov 18
7.4 Second-Order Systems and Mechanical Applications (Optional, independent reading)
7.5 Multiple Eigenvalue Solutions Nov 30
7.6 Numerical Methods for Systems Nov 30
CHAPTER 10. Laplace transform (Optional, on-demand)
In-class Quiz 5. Dec 2
Final in class: Dec 14
Frequently Asked Questions
- 3195 is considered 2 credit hours of ODE and 2 credit hours of linear algebra. Students who take MATH 3195 and MATH 3191, get 5 math credits total; students who take MATH 3195 and 3200 get 5 math credits total. Finally, students who take all 3 classes get 6 credits total, i.e., 3195 does not count at all.
- This is a highly compressed class that is trying to do in 4 credit hours the job of two classes, Math 3191 Applied linear algebra and 3200 Elementary differential equations, total of 6 credit hours. If you are not comfortable with the faster pace of this class and the amount of work it requires, you should take 3191 and 3200 instead.
- Students who are thinking of going to graduate school or are considering a math minor should consider taking MATH 3191 (linear algebra) and MATH 3200 (ordinary differential equations) instead of MATH 3195.
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If students would like a math minor, the need to take:
Calc I, II, and III and 3 additional upper division math courses at least 3 credits each,
excluding MATH 3040. Typically an engineering student would take:
3191, 3200, and 3800 (probability and statistics for engineering).
WE DO NOT COUNT NON-MATH COURSES TOWARD A MINOR (e.g. Probability
and Statistics as offered in the EE department).
Other courses engineering students have found useful for a math minor:
- 3250 (because they formally get introduced to MatLab)
- 3000 (logic course/ introduction to proofs)
- 4650 (numerical analysis I)
- 3301 (introduction to operations research)
Classroom rules:
Learning and teaching mathematics requires high levels of concentration both for students and the teacher. No activity in the classroom, which may disrupt the learning process, is allowed. This includes, but not limited to, using cell phones, unrelated speaking, eating food, making noises, walking in and out without prior permission by the instructor.Please have in mind that teaching is a performance art, so unnecessary and unrelated disturbances may negatively affect the performance quality. Also, teaching is an interactive performance art, where participation of students is expected. If you have any questions, please do not be shy - raise your hand and ask! Students, who ask good questions or participate in creating a better learning environment in other ways, may be eligible for extra credit. Most of the time, if one student has a question, the answer is of interest for all students. Do not wait for office hours - ask your questions in class!
How to do well in this class:
You should expect to spend at least 10 hours/week preparing for class and solving the problems from the textbook. You will not gain the skills necessary to succeed in this class by only listening to lectures or reading the book. You should read the section to be covered before the class. Even if you may not understand everything, you will find it makes the class much easier.Every student is expected to attend all classes, although the attendance is not checked or enforced.
Communication:
Students must read timely their official UCD email. Announcements and grades will posted on Blackboard.Getting Help Outside
- Our Math Education Resource Center (MERC Lab)
- Free tutoring at the UC Denver Learning Resources Center
- MATLAB Tutorial and MATLAB & Simulink Student Version by the MathWorks.
Disability Accommodations
The faculty at the University of Colorado system have both a legal and moral obligation to provide reasonable accommodations to students with disabilities. To be eligible for accommodations, students must be registered with the UC Denver Office of Disability Resources and Services (DRS) -- North Classroom 2514; 303-556-3450, 303-556-4766 TDD). The DRS staff has experience to assist faculty in determining reasonable accommodations and to coordinate these accommodations. If a student is given accommodations, they must be followed. If a student chooses not to accept the accommodations set forth by the DRS, they MUST complete all assignments and do all course work in the same manner as all other students. No exceptions or alternate forms of evaluation can be used except those mandated by the DRS. Faculty cannot arbitrarily decide to give a student extra time, extra assistance or other forms of aid unless it is formally mandated by the DRS.
Academic ethics policies:
ALL TESTS, PROJECTS AND OTHER ASSIGNMENTS ARE FOR INVIDUAL WORK ONLY. Any cases of Academic Dishonesty will be treated accoring to CLAS Academic Integrity and UC Denver Code of Conduct regulations, see also Student Code of Conduct. Cheating of any kind will be reported to the department and will result in a course grade of F and a possible expulsion from the University. Bring your ID, because IDs may be randomly checked before quizzes and exams.Required Information from CLAS
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Fall 2010 CLAS Academic Policies
The following policies pertain to all students and are strictly adhered to by the College of Liberal Arts and Sciences (CLAS).
Students who drop after the published drop/add period will not be eligible for a refund of the COF hours or tuition.
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Important Dates
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