Math 110 section 1 Fall
2007
(updated August 27, 2007)
This course meets Tuesday and Thursday 3:30-5pm in Room 75, Evans
Hall. The textbook is Axler's Linear Algebra Done
Right. Please be aware that the other
linear algebra sections use a different text. Math 54 or an
equivalent introduction to linear algebra is a prerequisite for this
course.
The format of the class is as follows:
Homework will usually
be assigned every week, click HERE for the
current assignment. You are welcome to work on the
homework
in small groups, but you must write up the solutions individually with
a
full understanding of what you are writing. In other words, no
copying. I do not allow late homework, even if you are
sick. However, the two lowest homework scores are dropped, so if
for any reason you cannot turn in a homework on time, it will simply
count as one of your dropped scores.
Office hours: Tuesday 5-6pm, Wednesday 4-6pm in 1083
Evans. Office hours are a great way
to get questions answered. Please come!
Email: I do not
answer
math questions by email, but you are welcome to email me to set up an
appointment if you can't make the scheduled office
hours.
Exams:
Midterm 1: Tuesday September 25
Midterm 2: Thursday November 15
Final Exam: Thursday December 20
Quizzes: There is a
fair amount of vocabulary to be learned for linear algebra,
and if you get behind on that then you will not understand what is
going on in class. I expect you to spend a few minutes reviewing
before each class to make sure you are current with the
vocabulary. There may be quick pop quizzes (which will not
count for a large part of your grade) in class to make sure this is
done.
Grading: 25%
homework/quizzes, 20% Midterm 1, 20% Midterm 2,
35% Final Exam.
Tips that (almost) guarantee an A:
1. Before each class, read the material that you
expect will be covered.
2. Complete and understand every homework problem.
3. Before an exam, redo all of the homeworks.
This won't take as long as you think.
Some useful links:
Extra tutoring is available from UC Berkeley math
tutors.
A convenient source for math definitions and theorems, which are
usually correct: Wikipedia