Text:
Lecture notes:  available during the semester
Books by: W.Hackbusch, G. Smith, L.Trefethen, J.Thomas,
        J.Strikwerda, Richtmyer and Morton, Morton and Mayers,
        P.Ciarlet, C.Johnson, Strang and Fix, Brenner and Scott

Course Outline:
     This is an introductory graduate course on numerical methods for partial differential equations. It is a requirement for graduate students in computational and applied mathematics, and it should also be appropriate for non-math graduate students who are good at advanced calculus and linear algebra with exposure to PDEs.
     (please check the official course description in the bluebook)

Prerequisite:
     calculus, linear algebra, numerical analysis, differential equations, programming language

Assessment:      course assessment consists of the following:
     Homeworks: assigned and graded bi-weekly
        (computer projects will be included)
     Midterm Exam: one hour in-class open-book midterm exam
     Final project: a final report and 15 minutes presentation

Final grade = 10% +30%homework+30%midterm +30%final project

No make-up exam without an excuse valid for the university. All Penn State Policies regarding ethics and honorable behavior apply to this course.