# Mathematics: Linear Algebra

## MATH 124 Z1 (CRN: 60130)

### The course MATH 124 Z1 is currently full.

Complete the inquiry form on the right to help us gauge interest. We will attempt to add more seats in this or a similar course. We will contact you if additional seats are added.

We encourage you to contact the instructor to express your interest in this course and topic.

Please continue to check the availability of this course—enrollment may vary before the deadline to add:

### About MATH 124 Z1

Matrices, linear dependence, vector spaces, linear transformations, characteristic equations and applications. Prerequisites: MATH 022 or instructor's permission. Corequisite: MATH 121 recommended but not required.

James Wilson ()

### Notes

Dates: July 1 - August 9, 2013, MW 5 - 8:45 pm

View Syllabus

### Section Description

Linear algebra deals with the solution of systems of linear equations and the analysis of linear systems (roughly speaking, systems in which the output is proportional to the input). Both sorts of systems are often represented by tables of numbers called matrices (singular: matrix). Consequently, much of beginning linear algebra centers around matrix manipulation. It turns out that, if one is careful, one can often treat a matrix---a table of numbers---as if it were a special kind of `number? in its own right. A good part of linear algebra also involves learning how to use geometric thinking to get insight into algebraic and numerical problems. What is surprising is that the spatial intuition we have picked up merely from living can often be applied---again, if we are careful---to understand problems that seem to involve nothing but numbers. The course covers these topics: basic solution methods for systems of linear equations, with applications (e.g., balancing chemical equations, networks, economic models); basic vectors (`geometric? thinking); matrix algebra, including matrix inverses and factorization; abstract vector spaces (more `geometry?); determinants; eigenvalues and eigenvectors, with applications (e.g., dynamical systems, systems of differential equations). Depending on class or instructor preference, and on time, the course can also include treatment of least-squares problems and the singular value decomposition (with applications).

### Section Expectation

Students should come to class, do the reading and the homework, and take the exams.

### Evaluation

The grade will be based on 4 quizzes, a midterm, and a final exam.

### Meetings

Course runs from to

#### July 1, 2013 to August 9, 2013

##### Location

Votey Bldg 361 (View Campus Map)

##### Times

to on Monday and Wednesday

### Important Dates

Courses may be cancelled due to low enrollment. Show your interest by enrolling.

Last Day to Add July 3, 2013 July 5, 2013 July 8, 2013 July 10, 2013 July 26, 2013

### Other courses you may be interested in…

SectionTitleInstructorsDatesDaysTimesCreditsCRN
MATH 121 Z1
• John Lawlor
to Mon
Tue
Wed
Thu
to 460922
MATH 121 Z2
• Anthony Julianelle
to Mon
Wed
Thu
to 460923
MATH 121 Z3
• Joan Rosebush
to Mon
Wed
to 460965

There are no courses that meet this criteria.