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MA381 COURSE DETAILS


3 Version(s) of this Course

MA381 (Version: 2013 1) COURSE DETAILS


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
MA381 NONLINEAR OPTIMIZATION 2013 1 Mathematical Sciences 3.0 (BS=0.0, ET=0.0, MA=3.0)
SCOPE
This course provides an undergraduate presentation of nonlinear topics in mathematical programming that builds on multivariable Calculus II. The emphasis of this course is on developing a conceptual understanding of the fundamental topics introduced. These topics include general convexity, convex functions, derivative-based multivariable search techniques, minima and maxima of convex functions, gradients, hessian matrices, Lagrange Multipliers, Fritz-John and Kuhn-Tucker optimality conditions, and constrained and unconstrained optimization. Computer software is used to explore and expose various key ideas throughout the course.
LESSONS: 40 @ 55 min (2.500 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
One (or more) special problem(s).

MA381 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  MA205 2003 1 1 Y
  MA255 2003 2 2 Y
  MA204X 2024 2 3 Y

MA381 (Version 2013-1) COURSE OFFERINGS


AYT #SECT/SIZE CPBLTY ENRLD WAIT SEATS CLOSED DETAILS
2025 - 1 1 18 18 11 0 7 N Hours
2025 - 8 1 18 18 1 0 17 N Hours
2026 - 1 2 18 36 17 0 19 N Hours
2026 - 8 1 18 18 0 0 18 N Hours
2027 - 1 2 18 36 27 0 9 N Hours
2028 - 1 2 18 36 0 0 36 N Hours

MA381 (Version: 2003 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
MA381 NONLINEAR OPTIMIZATION 2003 1 Mathematical Sciences 3.0 (BS=0.0, ET=0.0, MA=0.0)
SCOPE
This course provides an undergraduate presentation of nonlinear topics in mathematical programming that builds on multivariable Calculus II. The emphasis of this course is on developing a conceptual understanding of the fundamental topics introduced. These topics include general convexity, convex functions, derivative-based multivariable search techniques, minima and maxima of convex functions, gradients, hessian matrices, Lagrange Multipliers, Fritz-John and Kuhn-Tucker optimality conditions, and constrained and unconstrained optimization. Computer software is used to explore and expose various key ideas throughout the course.
LESSONS: 40 @ 55 min (2.500 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
One (or more) special problem(s).

MA381 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  MA205 2003 1 1 Y
  MA255 2003 2 2 Y

MA381 (Version: 1993 1) COURSE DETAILS (ARCHIVED)


COURSE TITLE EFF YEAR EFF TERM DEPARTMENT CREDIT HOURS
MA381 NONLINEAR OPTIMIZATION 1993 1 Mathematical Sciences 3.0 (BS=0.0, ET=0.0, MA=0.0)
SCOPE
This course provides an undergraduate presentation of nonlinear topics in mathematical programming that builds on multivariable Calculus II. The emphasis of this course is on developing a conceptual understanding of the fundamental topics introduced. These topics include general convexity, convex functions, derivative-based multivariable search techniques, minima and maxima of convex functions, gradients, hessian matrices, Lagrange Multipliers, Fritz-John and Kuhn-Tucker optimality conditions, and constrained and unconstrained optimization. Computer software is used to explore and expose various key ideas throughout the course.
LESSONS: 40 @ 55 min (2.500 Att/wk) LABS: 0 @ 0 min
SPECIAL REQUIREMENTS:
One special problem in optimization.

MA381 COURSE REQUISITES


TYPE COURSE EFF YEAR EFF TERM TRACK RED BOOK FLG
PRE REQUISITE  
  MA205 1991 2 1 Y
  MA205X 1991 2 2 Y
  MA255 2000 2 3 Y