Welcome to 21-241 Matrix Algebra
Introduction
Linear algebra covers material which is essential to everyone who
does mathematical computation in engineering and the sciences. The
subject divides naturally in two parts: computational and
conceptual. These are intimately related, but operationally
distinct: on the one hand, computations with matrices and linear
equations can be made into efficient algorithms, in mental code or
in computer code, and, once created, these can be carried out with
little attention to the theory. On the other hand, in order to
understand, to choose and then correctly optimize the applications
of linear algebra, it is necessary to see the underlying formal
algebraic structure.
What does this mean for this course? Your
challenge will be to master the algorithmic aspects of the subject,
without thinking that this is all that there is to the subject, and
to deal with the underlying formal structure by using the concrete
model of matrices and vectors as a guide and as a tool.
Time and place
MTWRF 10:30-11:50 PH A18C
Instructor
Spas Bojanov
Office: Wean Hall 6213
Mail: sbojanov AT andrew cmu edu
Phone: (412) 268 6828
Office Hours
Immediately after each lecture and by
appointment.
Text
Linear Algebra and Its Applications, Third Edition
by David C. Lay
Homework
Homework is an integral part of the course. Doing exercises is the
single most effective way to master the material and prepare for the
exams.
There will be 11 homework assignments posted on the web page. Homework assigned on Monday is due on Friday the same week, and homework assigned on Friday is due on Monday the next week. The assignment with the lowest score will be dropped.
Homework will be evaluated based on completeness, correctness and
clarity of the work. As for the latter, you should resist the urge to
simply write endless strings of computations with no explanation of
the thought process behind your work. Include transitional phrases
such as, "Now we must find the eigenvalues of this matrix". Use the
homework as practice for expressing your mathematical ideas clearly. You will find this very beneficial to your performance on the exams.
You are strongly encouraged to discuss the homework and work
together on the problems. However, each student should individually
write his or her own work. You should never give access to the final
version of your assignment.
Late homework will not be accepted. However, if you feel that your
situation is exceptional you should discuss it with me personally
before the due date.
Exams
There will be two eighty-minute in-class midterms, and a
comprehensive two-hour final exam. In addition, there will be random weekly
pop-up quizzes.
Make-ups will not be given. In case of documented illness,
emergency, or documented university sponsored trips, you will be
assigned a grade for the missed test based on an appropriate section
of the final exam, i.e. the appropriate questions on the final
will count both toward the final exam score and as a replacement
score for the missed test.
Calculators or other technology are not allowed on the exams.
The exam dates are:
Midterm I: May 27, 10.30am
Midterm II: June 10, 10.30am
Final: June 24, 10.30am (tentative).
Grades
The final grade will be determined by whichever scheme below is more
favorable to you:
Scheme 1
Scheme 2
20% Homework 20% Homework
20% Midterm I 5% Pop-up quizzes
20% Midterm II 20% Midterm I
40% Final 20% Midterm
II
35% Final
The highest possible grade cutoffs will be 90% A, 80% B, 70% C,
60% D. These may be lowered slightly, but will not be increased.
Suggestions for getting the most out of this course
- Decide to attend every lecture unless something unavoidable
happens.
- Actively participate in lectures: try to follow the logical
development of the lecture and ask questions on the spot if something
is not clear. This little extra effort can significantly cut down on
the time spent on understanding the material outside class.
- Later on the same day of lecture, review the covered material
and identify any points of confusion. Seek assistance from the instructor at the beginning of class on the next day, and/or discuss the difficult points with your classmates.
- The course material cannot be learned passively. However simple
and reasonable you may find what you read or hear, you do not
understand it unless you apply it yourself. Thus, it is imperative that
you test yourself by doing problems. If you have difficulty with a
problem, ask the instructor or a fellow student for help.
- View lectures as your primary source and the text as your
secondary source for preparation. The exams will cover topics
emphasized in lectures.