Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - ESI6410
Tracking Number - 2587
Edit function not enabled for this course.
Current Status:
Approved, Permanent Archive - 2012-01-20
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: To GC for review 9/12/11. To USF Syst 9/13/11; to SCNS 9/21/11. Approved eff 1/1/12
Detail Information
- Date & Time Submitted: 2011-08-10
- Department: Industrial and Management Systems Engineering
- College: EN
- Budget Account Number: 02103000
- Contact Person: Bo Zeng
- Phone: 8139745588
- Email: bzeng@usf.edu
- Prefix: ESI
- Number: 6410
- Full Title: Optimization in Operations Research
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: Y
- Are the credit hours variable?: N
- Is this course repeatable?:
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Optimization in O.R.
- Course Online?: B -
Face-to-face and online (separate sections)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: none
- Corequisites: none
- Course Description: To train students with analytical modeling techniques and solution methods for linear programming, nonlinear programming and discrete optimization. Covers professional modeling & solution software packages to solve practical problems.
- Please briefly explain why it is necessary and/or desirable to add this course: Needed to compete with national trends
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? This course will better serve our constituents needs and equip our students with a more appropriate skill set in light of changing trends in the world.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Ph.D. in Industrial or Systems Engineering or a related field.
- Objectives: 1. Master modeling and solution methods for optimization problems
2. Be familiar with popular modeling and solution software packages
3. Hands-on experience on building an optimization model, deriving solutions and analyzing results for practical problems.
- Learning Outcomes: 1. Master modeling and solution methods for optimization problems
2. Be familiar with popular modeling and solution software packages
3. Hands on experience on building an optimization model, deriving solutions and analyzing results for practical problems.
- Major Topics: i. Introduction to Optimization and OR (Operations Research)
ii. Linear Programming Model
iii. The Simplex Method (with review of systems of linear equations)
iv. The Theory of Simplex Method
v. Duality and Sensitivity Analysis
vi. Transportation and Assignment Models
vii. Network Models
viii. Basic Nonlinear Optimization
ix. Integer Programming
- Textbooks: Papers for reading is available through electronic journals in USF library.
- Course Readings, Online Resources, and Other Purchases: Papers for reading is available through electronic journals in USF library.
- Student Expectations/Requirements and Grading Policy: Homework 20%
2 Midterms 40%
Final Exam 20%
Course Project 20%
A few homework assignments, 2 midterms and one final. Also, a course project with real problems will be assigned.
- Assignments, Exams and Tests: A few homework assignments, 2 midterms and one final. Also, a course project with real problems will be assigned.
- Attendance Policy: Course Attendance at First Class Meeting – Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation – Registration - 4.0101,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. It’s the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
- Policy on Make-up Work: Up to the instructor as long as it is within USF policy.
- Program This Course Supports: MIE
- Course Concurrence Information: None
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.