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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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SYSM 6305 Mark Spong | |||||
A | |||||
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SYSM 6305 Mark Spong | |||||
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Grades: 348
Median GPA: A
Mean GPA: 3.694
4.4
Professor rating
2.6
Difficulty
5
Ratings given
100%
Would take again
Optimization Theory and Practice
Erik Jonsson School of Engineering and Computer Science
Basics of optimization theory, numerical algorithms, and applications. The course is divided into three main parts: linear programming (simplex method, duality theory), unconstrained methods (optimality conditions, descent algorithms and convergence theorems), and constrained minimization (Lagrange multipliers, Karush-Kuhn-Tucker conditions, active set, penalty and interior point methods). Applications in engineering, operations, finance, statistics, etc. will be emphasized. Students will also use Matlab's optimization toolbox to obtain practical experience with the material. 3 credit hours.
Offering Frequency: Fall
Grades: 22
Median GPA: A
Mean GPA: 3.697
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Grades: 348
Median GPA: A
Mean GPA: 3.694
4.4
Professor rating
2.6
Difficulty
5
Ratings given
100%
Would take again
Optimization Theory and Practice
Erik Jonsson School of Engineering and Computer Science
Basics of optimization theory, numerical algorithms, and applications. The course is divided into three main parts: linear programming (simplex method, duality theory), unconstrained methods (optimality conditions, descent algorithms and convergence theorems), and constrained minimization (Lagrange multipliers, Karush-Kuhn-Tucker conditions, active set, penalty and interior point methods). Applications in engineering, operations, finance, statistics, etc. will be emphasized. Students will also use Matlab's optimization toolbox to obtain practical experience with the material. 3 credit hours.
Offering Frequency: Fall
Grades: 22
Median GPA: A
Mean GPA: 3.697
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