Lab Instructor is Dr. Mike Sussman . Labs (GSSC 126) are available online.
Content This is the second part of the sequence MATH 2070- MATH 2071 which is intended as an introduction to numerical methods for science and engineering. The course is complemented with a fully integrated computer laboratory. We will emphasize both theoretical analysis of the algorithms and practical implementation issues. MATH 2071 covers chapters 6-9 of the textbook, which include single-step and multistep methods for solving ODEs, method of lines and finite difference methods for BVPs, direct and iterative methods for linear system solution and matrix eigenvalue computations. If needed, the material from the previous chapters will be reviewed.
Prerequisites single variable and multivariable calculus, a knowledge of computing programming, linear algebra. Any programming language can be used in the computational assignments. Assistance will only be provided for Matlab. An introduction to Matlab will be given in the Lab.
Grading Policy The final grade will be based on homeworks (30%), lab assignments (30%) and exams (40%). There will be two exams: one in-class exam at the middle of the semester and one take-home exam at the end of the semester. Late homework will be accepted only by special permission of the instructor.