Math 1553
Introduction to Linear Algebra
Sections HP1 & HP2 Fall 2015 

Prof. Dan Margalit
Skiles 244
(404) 8942715
Teaching Assistants
Hunter Ubersox (HP1) and Scott Yue Guan (HP2)
Book
Class Meetings
Mondays, Wednesdays, and Fridays 10:0510:55 (HP1) and 11:0511:55 (HP2) in Hefner 101.
Office Hours
Course Objectives
To learn the basic ideas and techniques of linear algebra, and to learn to use these ideas to solve problems and perform applications in science, business, and engineering.
Homework
Homework will be assigned via MyMathLab. Assignments will be given approximately twice per week and each assignment will be due approximately one week after the assignment date. It is the students' responsibility to keep track of the assignments on the MyMathLab web site. The two lowest homework grades will be dropped.
The Course ID for this course in MyMathLab is margalit46846.
For helping signing in to MyMathLab, click here. If you are not sure which code to buy, click here (the safest thing is to buy the code through the MyMathLab web site).
Quizzes
Quizzes will be given during each Friday that has no exam (except the first). Quizzes will consist of a single question that is very similar to one of the problems from the homework. Grading will be based not only on correctness, but also on presentation. The lowest quiz grade will be dropped.
Surveys
For most sections of the textbook covered, there will be a survey due the midnight before that section is covered in class. The surveys are accessed through TSquare, under Tests & Quizzes. The lowest five survey grades will be dropped.
Clickers
The course will use Learning Catalytics, a clicker system compatible with any webenabled device (this is accessed from within MyMathLab). Student scores are based solely on participation. The five lowest clicker scores will be dropped.
Schedule
How to read the table:
Week  Date  Sections  Topics  Homework  Survey/Quiz/Exam  Comments 
1  Aug 17  Overview  First day  
Aug 19  1.1  Linear systems  MML 1.1  Survey 1.1  
Aug 21  1.2  Row reduction  MML 1.2  Survey 1.2  Last day to drop w/o W  
2  Aug 24  1.3  Vector equations  MML 1.3  Survey 1.3  
Aug 26  1.4  Matrix equations  MML 1.4  Survey 1.4  
Aug 28  1.4  Matrix equations  Quiz 1  
3  Aug 31  1.5  Linear systems  MML 1.5  Survey 1.5  
Sep 2  1.5  Linear systems  
Sep 4  1.6  Applications  MML 1.6  Quiz 2  Game  
4  Sep 7  Labor day  
Sep 9  1.7  Independence  MML 1.7  Survey 1.7  
Sep 11  1.8  Intro to linear transformations  MML 1.8  Quiz 3  
5  Sep 14  1.9  Matrix of a transformation  MML 1.9  Survey 1.9  
Sep 16  Review  Practice 1  
Sep 18  1.11.9  Linear equations  Exam 1  
6  Sep 21  2.1  Matrix operations  MML 2.1  Survey 2.1  
Sep 23  2.2  Inverses  MML 2.2  Survey 2.2  
Sep 25  2.2  Inverses  Quiz 4  
7  Sep 28  2.3  Invertible matrices  MML 2.3  Survey 2.3  
Sep 30  2.5  Factorizations  MML 2.5  Survey 2.5  
Oct 2  2.5  Factorizations  Quiz 5  
8  Oct 5  2.8  Subspaces  MML 2.8  Survey 2.8  
Oct 7  2.9  Dimension / rank  MML 2.9  Survey 2.9  Comments  
Oct 9  2.9  Dimension / rank  Quiz 6  Last day to drop Last day to elect pass/fail 

9  Oct 12  Fall break  
Oct 14  Review  Practice 2  
Oct 16  2.12.9  Matrix algebra  Exam 2  
10  Oct 19  3.1  Determinants  MML 3.1  Survey 3.1  
Oct 21  3.2  Properties of determinants  MML 3.2  Survey 3.2  
Oct 23  3.2  Properties of determinants  Quiz 7  
11  Oct 26  3.3  Cramer's rule  MML 3.3  Survey 3.3  
Oct 28  5.1  Eigenvectors  MML 5.1  Survey 5.1  
Oct 30  5.1  Eigenvectors  Quiz 8  
12  Nov 2  5.2  Characteristic equation  MML 5.2  Survey 5.2  
Nov 4  5.3  Diagonalization  MML 5.3  Survey 5.3  
Nov 6  5.3  Diagonalization  Quiz 9  
13  Nov 9  6.1  Inner products  MML 6.1  Survey 6.1  
Nov 11  Review  Practice 3  
Nov 13  3.13.3, 5.15.3  Determinants and eigenvectors  Exam 3  
14  Nov 16  6.2  Orthogonal sets  MML 6.2  Survey 6.2  
Nov 18  6.3  Orthogonal projections  MML 6.3  Survey 6.3  
Nov 20  6.3  Orthogonal projections  Quiz 10  
15  Nov 23  6.4  GramSchmidt  MML 6.4  Survey 6.4  
Nov 25  Thanksgiving break  
Nov 27  Thanksgiving break  
16  Nov 30  6.5  Least squares  MML 6.5  Survey 6.5  
Dec 2  7.1  Symmetric Matrices  MML 7.1  Survey 7.1  
Dec 4  Review  Last day  
17  Dec 7  1.11.9, 2.12.5, 2.82.9, 3.13.3, 5.15.3, 6.16.5, 7.1 
Cumulative  Final Exam HP1  
Dec 9  1.11.9, 2.12.5, 2.82.9, 3.13.3, 5.15.3, 6.16.5, 7.1 
Cumulative  Final Exam HP2 
Grading
Final grades will be computed according to the following scale:

Absences
As a general rule, absences are excused for official Georgia Tech business only. I reserve the right to ask for a letter from the Dean of Students. If you have an official excuse for absence for an exam, you will be excused from that exam without penalty, meaning that your other exams will count for a larger portion of your grade.
Cell phones and Laptops
Please do not use cell phones and laptops during class for activities that are not related to class. This is a distraction to me, the other students, and (most of all) you.
Resources
Course notes
TSquare
Math Lab, in Clough 280.
Center for Academic Success, Drop in tutoring and oneonone tutoring
ADAPTS, Disabilities Services Program
Honor code