ANNOUNCEMENTS (Please check periodically for updates!)
There will be no LECTURE on Tuesday 11/24. Instead, Eric and Dustin will
run a joint discussion section in class at the usual time.
The Homework for 10.3 and 10.4 is due on Mon 11/30.
Midterm Info: A Sample Midterm is now available.
In theory, the exam covers everything from Sec. 4.7 Lay through Sec. 6.2
of NSS, except for Wronskians,
but you should focus your differential equations revision on first and
second-order equations.
Eric Wayman's sections (both 1pm and 2pm) will
take the exam in an overflow room, Barrows 0056. This is near Sproul
Plaza.
Check the place out ahead of time, to avoid being late!
11/3: We are still 1/2 a lecture behind, but we will be covering Sec. 4.6
and Ch. 6 this Thursday.
10/20: Section 6.7 (inner product spaces) homework has been postponed again,
but this is the last time, I promise ...
A special Definitions quiz for Chapters 5,6 is planned for next week.
Your TAs will tell you the date and format. Here
is the list of definitions.
10/15: Please read about Gram-Schmid on your own and make a serious attempt
at the relevant homework in 6.4.
I will cover that very quickly next
Tuesday.
We might shift the lectures to follow rather than attempt to rush through,
check the syllabus.
There will be a special, double credit quiz in Section on Monday
12 October (unless your TA announces a different date)
on
definitions from lectures 1-10. more details here.
The first sample midterm is now available.
The midterm will not cover Sections 2.5 and 4.7. Homework for Sec.4.7
will be due on Monday, 10/5.
You need not bring blue books for the exam.
GENERAL COURSE INFORMATION
Lectures: TuTh 12:40–2 pm, Room 105 Stanley Hall
Course Control Number: 54383
Instructor: Constantin Teleman,
905 Evans, e-mail: teleman 'at' math d0t berkeley d0t edu
Office Hours: Tues 2:00–3:30 pm and Wed 12:00–1:30pm.
Prerequisites: Math 1B.
Topics covered:
Basics of linear equations. Matrix algebra and determinants.
Vectors in 2 and 3 dimensions.
Determinants. Vector spaces and Inner Product spaces.
Linear transformations.
Eigenvalues and eigenvectors. Diagonalization.
Quadratic forms.
Homogeneous ordinary differential equations.
Fourier series and partial differential equations.
Texts:
David Lay, Linear Algebra, 3rd edition, Custom UC Berkeley Edition
Nagle, Saff & Snider, Fundamentals of differential equations and boundary
value problems, UC Berkeley Edition
Detailed Syllabus, with schedule of lectures and assignments
Homework: Assigned for every lecture and due at
the start of the second discussion section thereafter.
Homework is graded Pass/Fail. To help your GSI, please list the questions that gave
you the most trouble
on the first line of the homework.
Quizzes: Every Wednesday in section.
Exams: In-class, CLOSED book, NO calculators.
Important: No make-up examinations will be offered.
PLEASE mark these dates in your diary and plan to attend. HOWEVER,
if you miss Midterm 1, then Midterm 2 will count for 40% of your grade;
if you miss Midterm 2, then the Final will count for 60% of your grade.
If you miss both midterms, or if you miss the final, you will fail
the course.
These provisions apply if you have a good reason for your absence and give advance
notice.
For an absence caused by unforeseen emergencies, some verification will be needed.
THIS IS NOT a `drop-the-lowest-grade' policy. A no-show without cause will lead
to an F grade on the respective test.
Cheating on exams results in automatic failure, in addition to other
disciplinary action.
Discussion sections: (all MWF, one hour)