Math 110.201 Linear Algebra
Fall 2013 Course Syllabus
http://www.mathematics.jhu.edu/brown/courses/f13/201.htm
MWF 10:00pm - 10:50pm: Bloomberg 272 |
|||
403 Krieger Hall |
|
||
410-516-8179 |
|
||
Office Hours:
|
M |
1:00-2:00 pm |
by appt. other times |
W |
1:00-2:00 pm |
Text: Linear Algebra with Applications, 5th Edition, Otto Bretscher, New Jersey: Pearson, December, 2012 ISBN-10: 0321796977 | ISBN-13: 978-0321796974
Current Recitation Sections: |
|||
Section |
Time |
Place |
Instructor |
1 |
Tuesday 1:30pm |
Hodson 211 |
Mogni |
2 |
Tuesday 3:00pm |
Krieger 300 |
Grounds |
3 |
Tuesday 4:30pm |
Krieger 302 |
Grounds |
4 |
Thursday 1:30pm |
Krieger 304 |
Mincheva |
5 |
Thursday 3:00pm |
Bloomberg 274 | Mincheva |
Course Material: The core of the course will center on the text material, and will basically cover the material detailed in the syllabus link below. I may add and/or slightly alter this material depending on how the semester plays out. But the core set of material that I will cover will be what is on the syllabus:
Official Syllabus for 110.201 Linear Algebra
In addition to this, you should be aware that the prerequisite for this is a full year of single variable calculus. With an Advanced Placement BC exam score of 5, or the equivalent credits of the course 110.109 Calculus II (Phys Sci & Eng), you are considered prepared for this course. If there is a question, please come see me. For now, what we consider prerequisite content is everything on the syllabus for 110.109. The link is here:
Official Syllabus for 110.109 Calculus II (Phys Sci & Eng)
Grade Policy: There will be weekly homework sets and possibly some projects (20%), 2 in-lecture exams (40%) and a final (40%). The schedule of these exams is given with the homework problems below. There will be no make-ups on homework or exams. If you will not be present when homework is submitted, please submit the assignment early. If you miss a homework or project deadline, you can talk to the TA for late acceptance, but I have instructed them to not accept late submissions. If you miss an exam, you will have to be cleared by me to be excused from the exam, a process that will include documentation and a valid excuse. In this case the ultimate grade for that exam will be calculated based on your performance on future exams and the final.
Homework: Homework based on the week’s lectures will be posted as official on the course web site sometime on Friday (Homework may be posted earlier, but may change as the lectures evolve for the week). That assignment will be due in lecture at the end of the following week. See below for the due dates. Homework is an absolutely essential educational part of the course. You will be graded mostly on your ability to work problems on exams. You cannot work problems on exams if you have not practiced the techniques and become comfortable applying the concepts within the homework problems. If you misuse homework by not doing it yourself, or not checking that you can solve a problem on your own after having been shown how to do it, then your exam scores and corresponding grade will reflect this. Trust me on this last point. Talk to your section Teaching Assistant about how to turn in a homework if you cannot go to class. Some additional points:
You are strongly encouraged to collaborate in the analysis and study stage of homework preparation. However, you are required to submit completely original work, however, and must write up your homework for final submission alone.
You will be graded on your PROCESS in homework construction rather than simply your ability to calculate. You must present your homework solutions as if they are complete educational tools for study. In essence, you must PRESENT your solution and not simply answer questions.
Here is a brief idea of how one should construct homework problems for submission:
How to construct homework problem solutions
Course Policy: You are responsible for lecture notes, any course material handed out, and attendance in class. While I will not formally record your attendance, I will get to know you and your rate of presence over time. The lectures will be conducted as if you have already read the material and attempted some homework problems. In this manner, you can focus mainly on those parts of the lectures that cover the areas of your reading you found difficult to understand. My teaching style is that of interactive discussion and I will rely on your input in developing the material. Active participation in the classroom is a great way to generate the discussion necessary to fully grasp the material.
Help Room: 213 Kreiger Hall. The hours are 9am
9pm on Monday through Thursday, and 9am
5pm on Friday.
This free service is a very valuable way to get one-on-one help on the
current material of a class from other students outside the course. It is staffed by graduate students and
advanced undergraduates.
Ethics Statement: The strength of the university depends on academic and personal integrity. In this course,
you must be honest and truthful. Cheating is wrong. Cheating hurts
our community by undermining academic integrity, creating mistrust, and
fostering unfair competition. The university will punish cheaters with failure
on an assignment, failure in a course, permanent transcript notation,
suspension, and/or expulsion. Offenses may be reported to medical, law, or
other professional or graduate schools when a cheater applies.
Violations can include cheating on exams, plagiarism, reuse of assignments
without permission, improper use of the Internet and electronic devices unauthorized
collaboration, alteration of graded assignments, forgery and falsification,
lying, facilitating academic dishonesty, and unfair competition. Ignorance of
these rules is not an excuse.
In this course, as in many math courses, working in groups to study particular
problems and discuss theory is strongly encouraged. Your ability to talk
mathematics is of particular importance to your general understanding of
mathematics.
You should collaborate with other students in this course on the general construction
of homework assignment problems. However, you must write up the solutions
to these homework problems individually and separately. If there is any
question as to what this statement means, please see the professor or the
grader.
For more information, see the guide on "Academic Ethics for Undergraduates" and the Ethics Board web site (http://ethics.jhu.edu).
Students with Disabilities: Students with documented disabilities or other special needs that require accommodation must register with the Office of Academic Advising. After that, remind me of your needs at least 5 days prior to each exam; we will need to have received confirmation from Academic Advising.
Fall 2013 Tentative Schedule
The details of this material will be updated and reformed as the semester progresses.
Week |
Sections |
Homework |
Due in Lecture |
September 4 -- 6
|
Course Orientation |
|
September 13 |
1.1 Introduction to Linear Systems 1.2 Matrices, Vectors, and Gauss-Jordan 1.3 Linear Systems Solutions |
18,21,27,31 2,11,18,20,29,48,49,EP1,EP2 1,5 (Note: EP problems are below chart) |
||
September 9 -- 13 |
1.3 Linear Systems Solutions 2.1 Linear Transformations 2.2 Geometric View |
24,26,36,37,55 6,8,13,19-22,63 1,4,8,10,18,20,26,30,42,45 |
September 20 |
September 16 -- 20
|
2.3 Matrix Products 2.4 The Inverse of a Linear Transf. 3.1 Image and Kernel |
14,17,20,23,29,30,46,56,62,EP3 2,4,7,8,16,17,22,24,26,30,32,52,56,58,60,76 |
September 27 |
September 23 -- 27 |
3.1 Image and Kernel 3.2 Subspaces of $\mathbb R^n$ 3.3 The Dimension of a subspace |
1,4,6,9,18,20,24,26,27,30,34,44 1-3,6,8,16,24,32,34,46,47,49 |
October 4 |
September 30 -- October 4 |
3.3 The Dimension of a subspace 3.4 Coordinates |
6,10,22,28,30,32,33,35 6,10,15,20,26,37,44,46,48,53,56,69 |
October 11 |
October 7 -- 9 |
4.1 Introduction to Linear Spaces |
1-5,10,11,18,19,20,24,27,32,49 |
October 18 |
October 11 |
Exam 1 (Sections covered thru 3.4) |
Exam Solutions | |
October 14 | Fall Break: No Class | ||
October 15, 16 -- 18 |
4.2 Linear Transf. & Isomorphisms 4.3 The Matrix of a Linear Transf. |
1,3,6,17,19,22,25,30,32,38,52,54 1-3,16,22,29,32,48,49,52 |
October 25 |
October 21 -- 25 |
5.1 Orth. Projections/ Orthon. Bases 5.2 Gram-Schmidt and QR Factor. |
2,6,8,10,16,17,26,28 4,8,16,18,26,28,32,34,38 |
November 1 |
October 28 -- November 1 |
5.3 Orthogonal Transf. & Matrices 5.5 Inner Product Spaces |
1-4,34,36,40,44,52,53,60 1,4,8,9,10,14,20,24 |
November 8 |
November 4 -- 8 |
6.1 Introduction to Determinants 6.2 Properties of Determinant 6.3 Geometric Interp. of Determinant |
8,16,17,26,30,34,38,43,49,52,59 8,10,12,16,17,18,24,27,28,45,47 |
November 15 |
November 11 -- 15 |
6.3 Geometric Interp. of Determinant 7.1 Diagonalization 7.2 Finding the Eigenvalues |
1,2,4,9,11,13,14 1-4,10,12,15,19,40,41,50,56 2,8,10,15 |
November 22 |
November 18 -- 22 |
7.3 Finding the Eigenvectors 7.5 Complex Eigenvalues |
4,6,16,20,21,22,24,27,34,36,42,50,51,52 15,19,20,24,25,28,30 |
December 2 |
November 25 Nov25 |
8.1 Symmetric Matrices |
|
Not to be handed in |
November 27 -- December 1 |
Thanksgiving Break: No classes |
||
December 2 Dec02 |
8.2 Quadratic Forms |
|
Not to be handed in |
December 4 |
Exam 2 Sections covered (Solutions) |
||
December 6 |
Course Review | ||
|
|
|
|
December 11 |
Final Exam |
9:00am - 12:00pm: Bloomberg 272 |
Extra Problems: