Course Syllabus

MA5630 – Numerical Optimization

College of Science and Arts

Spring 2015

Instructor Information

Instructor: Allan Struthers

Office Location: 212 Fisher Hall

Telephone: Office – (906)-487-3541

E-mail:

Office Hours: 7:45am – 8:00am M/W/F (F325)

9:00am – 10:00am M/W/F (F212)

8:15am – 9:30am T/Th (F212)

Course Identification

Course Number: MA 5630-R01

Course Name: Numerical Optimization

Course Location: 327B Fisher Hall

Class Times: M/W/F 10:05am – 10:55am

Prerequisites: Ugrad lin alg, multi-variable calc and coding

Course Description/Overview

Numerical Optimization

Course Learning Objectives

Basic numerical optimization

Course Resources

Course Website(s)

·  Canvas<http://www.courses.mtu.edu

·  Course Page <http://www.math.mtu.edu/~struther/Courses/5630

Required Course Text

·  Numerical Optimization (Nocedal and Wright) free from any MTU email address.

·  We will cover Ch 8, 1, 2, 3, 4, 5, 6, 12, 15, 17, 19

Grading Scheme

Grading System

Letter Grade / Percentage / Grade points/credit / Rating
A / 90% & above / 4.00 / Excellent
AB / 85% – 89% / 3.50 / Very good
B / 80% – 84% / 3.00 / Good
BC / 75% – 79% / 2.50 / Above average
C / 70% – 74% / 2.00 / Average
CD / 65% – 69% / 1.50 / Below average
D / 60% - 64% / 1.00 / Inferior
F / 59% and below / 0.00 / Failure
I / Incomplete; given only when a student is unable to complete a segment of the course because of circumstances beyond the student’s control.
X / Conditional, with no grade points per credit; given only when the student is at fault in failing to complete a minor segment of a course, but in the judgment of the instructor does not need to repeat the course. It must be made up by the close of the next semester or the grade becomes a failure (F). A (X) grade is computed into the grade point average as a (F) grade.

Grading Policy

Grades will be based on the following:

Homework / 100
Projects / 100
Final Project/Presentation / 100
Total Points / 300

Late Assignments

Late assignments are only accepted for medical and university travel.

Course Policies and Collaboration/Plagiarism Rules

Working together on HW and projects is encouraged. You need to make sure that you understand your individual submissions. You need to appropriately cite any material from external sources. Do not plagarize.

University Policies

Student work products (exams, essays, projects, etc.) may be used for purposes of university, program, or course assessment. All work used for assessment purposes will not include any individual student identification.

Michigan Tech has standard policies on academic misconduct and complies
with all federal and state laws and regulations regardingdiscrimination, including the Americans with Disabilities Act of 1990. For more information aboutreasonable accommodation for or equal access to education or services at MichiganTech, please call the Dean of Students Office, at(906) 487- 2212or go to
http://www.mtu.edu/ctl/instructional-resources/syllabus/syllabus_policies.html

Semester Schedule

http://www.mtu.edu/registrar/students/calendars/academic/