MET 50300: Applied Optimization

3 Credits

Spring 2025Lecture
Spring 2025 Instructors(1)
Richard French

This course will introduce technology graduate students and senior undergraduates to the basic concepts of optimization methods with particular emphasis on applications in product and process design. Unconstrained nonlinear problems will be presented and solved using steepest descent and conjugate directions. Constrained problems will be solved using exterior penalty functions. Permission of department required.

Course MET 503 from Purdue University - West Lafayette.

Prerequisites:
Richard French

Course Overview

Course GPA

GPA: 3.73
Grade Distribution% of Students
A
B
A: 76%
B: 21%
C: 3%

Data Averaged From:

Instructors2 instructors
Semesters4 semesters

Richard French - Metrics

3.45

Average GPA

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% Grade Distribution

1 instructor selected
A+AA-B+BB-C+CC-D+DD-F08162432% of Students
  • Richard French

GPA Trends

1 instructor selected
Total GPA avgerages are shown in the legend.
Higher values indicate higher average GPAs.

Spring 2025 Schedule:

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