EC ENGR 133A
Applied Numerical Computing
Description: 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
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Most Helpful Review
Fall 2022 - Prof. Vandenberghe's lectures are not the most energetic, and at times it was hard to stay awake. Despite that, he was clear and straightforward, he ran like a well-oiled machine. Going to office hours was a humbling and inspiring experience; I felt smarter just talking to him. EE 133A was in some ways one of the most challenging, yet useful and interesting classes in the EE core curriculum! I also appreciated the fact that Prof. Vandenberghe wrote the textbook but was willing to give us pdf access for free, as well as an accompanying solutions manual. The material was well written.
Fall 2022 - Prof. Vandenberghe's lectures are not the most energetic, and at times it was hard to stay awake. Despite that, he was clear and straightforward, he ran like a well-oiled machine. Going to office hours was a humbling and inspiring experience; I felt smarter just talking to him. EE 133A was in some ways one of the most challenging, yet useful and interesting classes in the EE core curriculum! I also appreciated the fact that Prof. Vandenberghe wrote the textbook but was willing to give us pdf access for free, as well as an accompanying solutions manual. The material was well written.
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Most Helpful Review
Winter 2024 - Lin Yang is a great Professor. I'd recommend this class if you are looking for a light workload with engaging numerical computing material. This class had 1 quiz every week which were very easy as the professor would help out and allow students to exchange ideas. The midterm was also very fair. The group project is fun because you apply what you learned in class. The homework was also very easy as it would take about 1-2 hours maximum for each homework.
Winter 2024 - Lin Yang is a great Professor. I'd recommend this class if you are looking for a light workload with engaging numerical computing material. This class had 1 quiz every week which were very easy as the professor would help out and allow students to exchange ideas. The midterm was also very fair. The group project is fun because you apply what you learned in class. The homework was also very easy as it would take about 1-2 hours maximum for each homework.
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