Optimization

CT Score

1500

#0 of 0 in MAT

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MAT 021C ; ((( MAT 022A or MAT 027A or BIS 027A ), ( MAT 108 or MAT 108V )) or MAT 067 ). Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). MAT 168 — Optimization (4 units) Course Description: Linear programming, simplex method. Basic properties of unconstrained nonlinear problems, descent methods, conjugate direction method. Constrained minimization. Programming language required. Prerequisite(s): MAT 021C ; ((( MAT 022A or MAT 027A or BIS 027A ), ( MAT 108 or MAT 108V )) or MAT 067 ). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research, Statistics, and Data Science majors. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). MAT 168 — Optimization (4 units) Course Description: Linear programming, simplex method. Basic properties of unconstrained nonlinear problems, descent methods, conjugate direction method. Constrained minimization. Programming language required. Prerequisite(s): MAT 021C ; ((( MAT 022A or MAT 027A or BIS 027A ), ( MAT 108 or MAT 108V )) or MAT 067 ). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research, Statistics, and Data Science majors. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027→MAT 168→unlocks 0 courses

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