EC ENGR 133A
Applied Numerical Computing
Description: (Formerly numbered Electrical Engineering 133A.) Lecture, four hours; discussion, one hour; outside study, seven hours. Enforced requisites: course 131A, and Civil Engineering M20 or Computer Science 31 or Mechanical and Aerospace Engineering M20. Introduction to numerical computing/analysis; analytic formulations versus numerical solutions; floating-point representations and rounding errors. Review of MATLAB; mathematical software. Linear equations; LU factorization; bounds on error; iterative methods for solving linear equations; conditioning and stability; complexity. Interpolation and approximation; splines. Zeros and roots of nonlinear equations. Linear least squares and orthogonal (QR) factorization; statistical interpretation. Numerical optimization; Newton method; nonlinear least squares. Numerical quadrature. Solving ordinary differential equations. Eigenvalues and singular values; QR algorithm; statistical applications. Letter grading.
Units: 4.0
Units: 4.0
AD
Most Helpful Review
Winter 2020 - Seems nice but probably due to being new is terrible at teaching. He will explain a theorem or algorithm by just putting the math on the board without first explaining what its used for nor what the english-explanation of the method is; he just dives straight into the math with no context repeatedly. That being said his grading was very easy, the textbook is pretty good, and he can easily clarify any issues you have from reading. Exams and homework are very hard but the curve is very nice.
Winter 2020 - Seems nice but probably due to being new is terrible at teaching. He will explain a theorem or algorithm by just putting the math on the board without first explaining what its used for nor what the english-explanation of the method is; he just dives straight into the math with no context repeatedly. That being said his grading was very easy, the textbook is pretty good, and he can easily clarify any issues you have from reading. Exams and homework are very hard but the curve is very nice.