MAS 3114, section 3163
Computational Linear Algebra
The URL for this page is
Most handouts and other information will be available via links
from this page. Students are expected to visit this website before
the drop/add deadline, follow the "syllabus" link below, and follow
the links from the syllabus page.
Professor David Groisser
418 Little Hall
392-0281 extension 261
Dr. Groisser's home page
Tips on using your textbook
Prerequisites for this course
Two semesters of calculus (MAC 2311 and 2312 or equivalent) and
knowledge of a scientific programming language. Owning a
calculator that can perform matrix algebra is not literally a
requirement but would help you a lot.
What this course is about
A theme that runs through almost every field of mathematics is
linearity . Often one finds that the same concepts and the same
arguments arise when learning differential equations, studying vectors
in Calculus 3, solving simultaneous linear equations, in many other
mathematical settings, and in the mathematics specific to almost every
field of science and engineering. Linear algebra is the study and
application of these concepts.
As its title suggests, this course emphasizes the computational
aspects of linear algebra (such as matrix manipulation and methods for
solving systems of linear equations). We will spend time learning how
to use a computer to help solve certain linear algebraic
problems. However, we will also spend significant time understanding
the underlying abstract concepts. The power of abstraction is that in
the end one is able to solve a host of practical problems by
understanding a very small number of concepts.
This course is not about
teaching you how to use your calculator. You will be allowed to use
your calculator on exams and for certain homework problems, but
learning to use it correctly is your responsibility.
This page was last modified by D. Groisser on Jan. 3, 1999.