Text: David C. Lay, Linear Algebra and its Applications
Professor: W. Farr, 105A Stratton, X5496, E-mail - bfarr
Office Hours: MTTh 9-11, or by appointment
TA:Qun Fang Lu (floralqf)
PLAs: Jeff Simone (jss328), Matt Black (mblack), Deanna Wolfson (deanna)
Venera Varbanova (venera), Alyssa Lopes (alylopes), Chris Freeman (chrisf)
The goals of this course are as follows.
- Learn to solve linear systems
- Learn how to apply linear systems to problems from various disciplines
- Learn the basic properties of vector spaces
Linear algebra is an essential part of the mathematics,
science and engineering disciplines. The material in this course will
be very important in your future studies.
This course meets four times a week for lectures, where the basic
concepts will be introduced. There is also one
conference section per week. In
these sessions you will work in small groups, aided by Peer Learning
Assistants or a Teaching Assistant. The PLAs and TA are there to
facilitate your learning; they are
not there to do the homework problems for you.
The homework assignments will be given on class and listed on the course web
page. Completing these exercises is essential to your mastery of the
material. Homework will be collected each week in conference and
selected problems will be graded. Late homework will not be accepted
without prior arrangement with the instructor. Homework scores will
count as 15% of your final grade.
There will be two hour exams during the term. Each will count 25% of
your final grade. Tentative dates are September 13 and October 4.
There will also be a comprehensive final exam in the last week of the
course, probably on Thursday. This exam will count as 35% of your
- Week 1
- Linear equations and matrices
- Week 2
- More on linear systems, linear transformations
- Week 3
- Linear Models, Inverse of a matrix
Secs. 1.10, 2.1-2.3, 3.1, 3.2
- Week 4
- Determinants, vector spaces
Secs. 3.1, 3.2, 4.1-4.3
- Week 5
- More on vector spaces
- Week 6
- Eigenvalues and eigenvectors
- Week 7
- Overflow and review
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