MAS 3114, section 3163
Computational Linear Algebra
Spring 1999

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 (

  • Syllabus
  • Homework assignments
  • Tips on using your textbook
  • Attendance policy
  • Other handouts

    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.