Math 20F: Linear Algebra, Spring 04, (Hans Lindblad)

 Meetings  Texts  Exams  Review  Practice Exams  Syllabus  Schedule  Summary of lectures  Homeworks  Matlab
ANNOUNCEMENTS:




Meetings

It is important that you have a look at the material before it is covered in the lectures, see schedule where you also find lecture notes. Please ask questions in lectures, sections and office hours. If you don't quite understand something others may not understand either. The explanations will help everyone understand better and keep the lectures at a pace you can follow. The best way to learn math is by doing examples so try to do all the homework problems and more similar problems if you have time. Also please let us know if you have any complaints and suggestions for improvements.

Texts

It can be helpful with a different perspective: Some books are on reserve in the library and if you click on the links you will find helpful resources: Lay, Linear Algebra and Its Applications, and Bretscher, Linear Algebra with Applications introduce linear transformations and geometry early to explain matrix multiplication, inversion and determinants. Strang, Introduction to linear algebra has many applications. For further study, matrix theory and applications Math 102, numerical methods 170A, Fourier series and eigenfunction expansions 110, 210B, ordinary differential eqns 20D, 130A. For matlab Leon, AT LAST.

Exams

Bring identification to exams. No calculators, books or notes are allowed in exams. No make-up exams. The exams can have questions about anything covered in homeworks due before the exams, lectures or assigned reading. Further information about the exams will be given in lectures, reviews or on the web, but not on an individual basis. Questions about the grading should be brought up directly with your TA.

Review - going over questions from the practice exams.

Practice Exams and Solutions to some of the exams.

mid1s04mid1s03mid1w03amid1w03b,   mid2s04mid2s03mid2w03amid2w03b,   fins04finw03afinw03bfinf02p,

mid1s03smid1w03asmid1w03bs,   mid2s03smid2w03asmid2w03bs,   finw03as.

Schedule and summary of lectures (tentative)

It is important that you have a look at the material before it is covered in the lectures. If you click on the day you might find a summary of the lecture without the important pictures though

 wk  date  Monday  Wednesday  Friday
  1  3/29  1.1  1.2  1.3
  2  4/5  1.3-4  1.4  2.1
  3  4/12  2.2  2.2, 3.1  3.2
  4  4/19  3.3  3.4  review
  5  4/26  Exam  3.5  3.6, 4.1
  6  5/3  4.1-2  4.3  5.1-2
  7  5/10  5.2  5.3  5.4-5
  8  5/17  5.5  5.6  6.1
  9  5/24  Exam  6.1-2  6.3
 10  5/31  Holiday  6.4  Review

Syllabus

Linear algebra is a collection of concepts and ideas related to solving systems of linear equations: Gaussian elimination, matrix algebra, determinants. Linear subspaces and bases. Eigenvalues and eigenvectors, quadratic forms, orthogonal matrices, diagonalization of symmetric matrices. Linear algebra has many applications to science and engineering; to electrical networks, economical models, chemical reactions, to signal processing or to numerically solving differential equations. You will find that it takes time to get used to the abstract concepts and to even understand what is being asked. To understand the methods and concepts you must solve problems, and matlab is helpful for this.

Matlab Computer Homework Assignments

The computer labs will take place on Tuesdays (starting 4/6), the same times as your discussion section, in CLICS PC Lab Your TA will tell you when to hand in your matlab assignments. See matlab problems

Textbook Homework Assignments (tentative)

Solutions to homeworks will be available for download below after they are due. All homeworks should be handed in in section but we do not have resources to grade all problems. We will grade 3-4 problems on most assignments but some might be returned ungraded. No late homeworks. The lowest homework score will be discarded. (TBA=to be announced i.e. more to come, x*=problem x will not be graded)

HW #1 Due 4/1
1.1: 1ab, 2ab, 3ab, 6d, 9, 10,11,       1.2: 1, 3acd, 5de, 6a, 8, 10, 14

HW #2 Due 4/8
1.3: 1bef, 2ab, 4b, 10, 13, 15, 16, 17, 21,       1.4: 1, 2, 3, 7, 8, 9cdef, 14, 16, 17

HW #3 Due 4/15
2.1: 3adg, 4, 6, 11,       2.2: 1, 3cf, 5, 6, 7,       3.1: 4, 6, 10, 11, 16

HW #4 Due 4/22
3.2: 2, 3a, 4ad, 5c, 6a, 9bcd, 10, 11,       3.3: 1abc, 2, 3,       3.4: 1abc, 2, 3, 4, 5, 6

HW #5 Due 4/29
3.4: 7,8,9,10,       3.5: 1b, 2b, 3b, 5, 6

HW #6 Due 5/6
3.6: 1ab, 2a, 3, 5ef,       4.1: 1ae, 4, 5ac, 16,       4.2: 1ae, 2b, 4a, 5ac,       4.3: 1ae, 2, 3

HW #7 Due 5/13
5.1: 1ac, 3ac, 5, 7, 9, 12,       5.2: 1bc, 2, 6, 9,       5.3: 1, 2, 3a, 4a, 5, 6,

HW #8 Due 5/20
5.2: 3, 4,       5.3: 3b, 4b,       5.5: 1, 2, 3, 4, 7, 19, 20, 21,       5.6: 1, 2, 3, 5, 7, 8.

HW #9 Due 5/27
5.4: 3, 9,       5.5: 27, 28,       5.6: 4,       6.1: 1bcdgh, 10, 14, 19, 24,       6.2: 1ad, 2ac, 4,

HW #10 Due 6/3
6.3: 1adf, 2d, 3d, 7, 11, 23b, 24c, 25ac,       6.4: 5abde,

Grades

The grade will be based on a total score calculated from 10% textbook and 10% matlab homeworks, 20% each midterm and 40% final. The grade distribution will follow a curve with median grade approximately a B. Usually about 25% of students get As (i.e. A+, A or A-), 35% get Bs, and 30% get Cs. The exact borders are adjusted depending on various factors and typically vary up or down by 5%. Typically it ends up that you need about 80% total score for A-, 65% for B- and 40% for C-, but it depends on how hard or easy the exams were.