代写MAT 410: Operations Research代做留学生Matlab程序
- 首页 >> Python编程MAT 410: Operations Research
Course Prerequisites
MAT 375 with a grade of C or better
Course Description
This course introduces students to deterministic modeling in the field of operations research. Using a scenario- based approach, students will explore linear, integer, and nonlinear programming as applied to classical and contemporary optimization problems.
Course Outcomes
· Build linear programming models that successfully address real-world operations research scenarios
· Optimize linear objective functions using the simplex method and applying duality theory
· Interpret the results of sensitivity analyses to investigate how changes in the parameters of a linear programming problem affect its optimal solution
· Analyze real-world problems to determine the appropriate linear, nonlinear, and integer models for application
· Communicate operations research and mathematical concepts effectively to a variety of audiences
Required Materials
Using your learning resources is critical to your success in this course. Please purchase directly through the
SNHU Online Bookstore rather than any other vendor. Purchasing directly from the bookstore ensures that you will obtain the correct materials and that the IT Service Desk, your advisor, and the instructor can provide you with support if you have problems.
Operations Research: An Introduction
Hamdy A. Taha
Prentice Hall, Inc.
Tenth Edition
2017
ISBN: 978-0-13-448019-0
Technical Requirements
Make sure you’ve met the technical requirements to complete this course.
Diversity, Equity, and Inclusion
As indicated in our core values, SNHU is committed to “embrace diversity where we encourage and respect diverse identities, ideas, and perspectives by honoring difference, amplifying belonging, engaging civilly, and breaking down barriers to bring our mission to life.”
This may or will be reflected in SNHU’s curriculum as we embrace and practice diversity, equity, and inclusion (DEI) to provide the most transformative experience for our students, faculty, and staff. Because topics pertaining to DEI can be sensitive, please remember that embodying and practicing diversity, equity, and inclusion is one of our core values that you will encounter throughout the academic experience. In higher education, we are expected to think and engage critically. Use a growth mindset to embrace the diverse readings, course assignments, and experiences of your peers and faculty.
For more information about DEI at SNHU, please visit our website at the Office of Diversity and Inclusion.
Instructor Availability and Response Time
Your class interaction with the instructor and your classmates will take place on a regular, ongoing basis. Your instructor will be actively engaged within the course throughout the week. You will normally communicate with your instructor in the weekly discussions or the General Questions discussion topic so that your questions and the instructor’s answers benefit the entire class. You should feel free, however, to communicate with your instructor via SNHU email at any time, particularly when you want to discuss something of a personal or sensitive nature. Your instructor will generally provide a response within 24 hours. Instructors will post grades and feedback (as applicable) within seven days of an assignment’s due date, or within seven days of a late submission.
Grading
Grade Distribution
Assignment Category Number of Graded Items Point Value per Item Total Points
Discussions 8 15 120
Quizzes 8 35 280
Problem Sets 5 30 150
Final Project
Milestone One 1 50 50
Milestone Two 1 100 100
Final Submission 1 200 200
Model Selection Project 1 100 100
Total Course Points: 1,000