Lecture site:	Remote. Videos are made available on Canvas.
Discussion sessions	B01 36145: Thursday 9:00am-9:50am, remote with Bingni Guo B02 36148: Thursday 10:00am-10:50am, remote with Bingni Guo Meeting ID: https://ucsd.zoom.us/j/98725560491
Final Exam time and place	Remote March 17th, 2021, 8:00am - 10:59pm.
Instructor	Martin Licht Email: mlicht AT ucsd DOT edu Office Hours: Monday, Wednesday, Friday, 9am-10am. Meeting ID: 990 0333 4314
Teaching Assistant	Bingni Guo Email: b8guo AT ucsd DOT edu Office Hours: Tu 10am-11:59am Meeting ID: https://ucsd.zoom.us/j/94562953862
Section(s)	36145, 36148
Credit Hours:	4 units
Course content	Floating point arithmetic, direct and iterative solution of linear equations, iterative solution of nonlinear equations, optimization, approximation theory, interpolation, quadrature, numerical methods for initial and boundary value problems in ordinary differential equations. Students may not receive credit for both MATH 174 and PHYS 105, AMES 153 or 154. (Students may not receive credit for MATH 174 if MATH 170A, B, or C has already been taken.) Graduate students will complete an additional assignment/exam.
Formal prerequesite	MATH 20D or 21D, and either MATH 20F or MATH 31AH, or consent of instructor.
Homework information	Homework is due Sunday 11:59pm and submitted to Gradescope. Homework 0 is ungraded.
Midterms and Exams	Midterm 1: January 29 Midterm 2: February 26 Exams: March 17 The first midterm, the second midterm, and the final exam can be started and completed within a time window of at least 24 hours. You will have 50 minutes for each of the midterms, and you have 3h for the final exam.
Academic Integrity	Every student is expected to conduct themselves with academic integrity. Violations of academic integrity will be treated seriously. See http://www-senate.ucsd.edu/manual/Appendices/app2.htm for UCSD Policy on Integrity of Scholarship.
Resources	The textbook for this lecture is: Germund Dahlquist and Åke Björk, Numerical Methods. ISBN 10: 0486428079, ISBN 13: 9780486428079 The following textbooks are recommended to supplement the lectures: Åke Björck, Numerical Methods in Matrix Computations. Publisher's website Robert Plato, Concise Numerical Mathematics. Publisher's website Gerard Meurant, Computer Solution of Large Linear Systems. Publisher's website Golub, Van Loan, Matrix Computations. Publisher's website Trefethen, Bau Linear Algebra. Publisher's website Some information about floating point arithmetics: D. Goldberg, What every computer scientist should know about Floating-Point arithmetics. [Link] Information about Floating-Point numbers. [Link] E. Wallace Floating-Point Toy. [Link] Your experience in numerical linear algebra will greatly benefit from a solid background in linear algebra. Your instructor recommends the following textbook as a helpful reference: Serge Lang, Linear Algebra. Publisher's website Assorted links to additional material: Lloyd N. Trefethen, The Definition of Numerical Analysis. [Link] J. R. Shewchuk, The Conjugate Gradient Method without the Agonizing Pain. [Link]
Helpful links	Important academic dates for this academic year