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16 Weeks of Linear Algebra...
... you won't believe what happens in week #6!
I have given in to the Dark Side, and this course will have some Blackboard components. Mainly we will use:
The main class website resides at
iClicker [This section NOT YET updated for "iClicker Cloud" FALL 2018]
We will be using the iClicker platform for quick
in-class interactions (mini-quizzes). Reference:
Clicker @ SDSU (Instructional Technology
"But iClickers suck!!!" — No "interaction system" is perfect, and it is not easy to make a large (160–240 students) class truly interactive... There certainly are newer and more glamorous systems; in the past more than 80% of students entering Math 254 already had a physical iClicker; as of Spring 2018 only about 50% have a device. If you do not have a physical iClicker, the most cost effective thing to do is to either get a used iClicker, or use the reef polling app.
The Homework Server (WeBWork) is not yet up Target: Up by Friday [Second Week of Class].
Your password is: your Red ID
"Piazza is a free online gathering place where students can ask, answer, and explore 24/7, under the guidance of their instructors. Students as well as instructors can answer questions, fueling a healthy, collaborative discussion."
Supplemental Instruction (SI) Hours
Supplemental Instruction (SI) study sessions are offered for this course. SI Sessions occur every day, 7 times each week, throughout the entire semester. Supplemental Instruction Sessions are peer-led, voluntary, and faculty do not know who attends and who does not participate. SI is for everyone, and open to all students enrolled in this class; not just those students who are struggling.
The sessions provide group study opportunities to assist students in traditionally difficult courses. To get the most out of SI, attend early and often during the semester. Sessions are facilitated by an SI Leader who has already received an A or B+ in the class, and has been trained to lead group sessions where students can improve their understanding of course material, review and discuss important concepts, develop study strategies and prepare for exams. Students who begin attending SI sessions early in the semester typically earn higher final course and exam grades than students who do not participate in SI. Please bring your lecture notes, books, and questions with you to the SI sessions.
Check out the [SI Calendar] for times and locations.
"Meet" your MATH 254 SI Leaders: its.sdsu.edu/math-254/
What is SI?: its.sdsu.edu/supplemental-instruction
TA Office Hours
Sidney email@example.com, GMCS-528, W 9:00am – 11:00am, Th 9:30am – 10:30am, 4:00pm – 5:00pm
Optional Book, and Other Resources
Course Outline (Topics)
Transformations, Subspaces of ℜn and Their
Dimensions, Orthogonality (and Least
Squares), Determinants, Eigenvalues and Eigenvectors, (Symmetric
Matrices and Quadratic Forms.)
In particular, the lecture slides!
Suggested Text and Reading Materials:
Introduction to Linear Algebra (fifth edition), Gilbert Strang, Wellesley-Cambridge Press / Society for Industrial and Applied Mathematics, 2016, ISBN-10 0-980-23277-5, ISBN-13 978-0-980-23277-6
Errata: None known.
The Textbook Costs 250+ Tacos!
[Fall 2018] The extended notes (lecture +
supplemental material) now constitute the "book," and can be
downloaded from this site for $0. (With a complete
money-back-guarantee) Gilbert Strang's book (see below) is now
recommended (but explicitly "optional") reading.
Campus Resources and Information
Math Learning Center
The SDSU Math Center is in the Love Library, Room LL-328. The goal of this center is to provide a central location for students from all lower division mathematics and statistics courses to find free, on-demand tutoring.
The MLC primarily targets Math 141, 150, 151, and 252.
Students with Disabilities:
If you are a student with a disability and believe you will need accommodations for this class, it is your responsibility to contact Student Disability Services at (619)594-6473. To avoid any delay, please contact Student Disability Services as soon as possible. Please note that accommodations are not retroactive, and cannot be provided until an accommodation letter from Student Disability Services is received by the Professor.
As of Spring 2016, Crashing has been replaced by the Waitlist. Note that professors have VERY LITTLE power over the waitlist, most of the action is "automatic."
General Course Information
Matrix algebra, Gaussian elimination, determinants, vector spaces, linear transformations, orthogonality, eigenvalues, and eigenvectors.Prerequisites
Mandatory problems collected online using WeBWorK. Approximately one assignment per chapter (8-10 assignments). [details TBA]
Recommended problems (not collected) will be also be assigned.
The WeBWork problems are somewhat simplisitic — solving only these problems WILL NOT prepare you for the exams! Do attack the "suggested problems" – they are suggested for a reason! (And do check out the learning glass video solutions)
Syllabus / Schedule Modifications
I reserve the right to modify the syllabus / schedule as needed to work around unforseen events, etc. Announcements may be sent out via Blackboard; and PLEASE make it a point to regularly check the calendar.
Copyright © 2018 Peter Blomgren.