## Course Syllabus

Department of Mathematics and Computer Science

 COURSE ID: CSC-456 COURSE NAME: Operations Research CREDITS: 3

TEXT BOOK

REA Problem Solvers: Operations Research

INSTRUCTOR INFORMATION

***To be provided for each section***

COURSE DESCRIPTION

Operations Research is a very important area of study, which tracks its roots to business applications. It combines the three broad disciplines of Mathematics, Computer Science, and Business Applications. This course will formally develop the ideas of developing, analyzing, and validating mathematical models for decision problems, and their systematic solution. The course will involve programming and mathematical analysis.

PREREQUISITE          CSC-151 (Computer Applications) and MAT-107 (Finite Math)

COURSE GOALS- STUDENT LEARNER OUTCOMES

The goal of this course is to introduce students to concepts and computational techniques used by large organizations (such as the military, big business, and major universities) to most efficiently manage resources, maximize profits and/or minimize costs (operations research is also often called management science).

The students should learn about the following:

1. Resource Allocation - graphical solutions of two-product, multiple-resource production environments, simplex method of solution, linear programming (using the Solver plug-in for MS Excel)

2. Network Analysis and Design - Euler and Hamilton circuits, minimum traversal (i.e. shortest paths) algorithms, Dijkstra's method, spanning trees, Kruskal's method, and maximum flow networks.

3. Planning and Task Scheduling - list-processing algorithm, critical paths, critical path method (CPM), PERT, Hargrove and Nemhauser's method, EOQ model

4. Forecasting Techniques - moving average, exponential smoothing, regression

5. Deterministic Inventory models - classic EOQ, EOQ with bulk purchasing, EOQ with storage limitations

6. Transportation models - least cost method, NW corner method, stepping stone method, Vogel's approximation

TENTATIVE SCHEDULE OF WEEKLY ASSIGNMENTS

Classes 1 - 9         Resource allocation
Classes 10 - 15     Network analysis and design
Classes 16 - 25     Planning and scheduling
Classes 25 - 30     Forecasting
Classes 31 - 34     Deterministic inventory models
Classes 35 - 40     Transportation models

COURSE ASSESSMENT- LEARNING OPPORTUNITIES*

• Computer Projects

Computer Projects will be given on material covered in class. General computer labs are available throughout the campus for students to do their work. The students are encouraged to make regular visits during office hours, to meet in study groups, and to use the Computer/ Programming Tutors from the School of Natural Sciences.

• Late Work And Make-Ups

All computer projects, assignments, quizzes and exams must be completed by the scheduled date. Late assignments or make-up tests or quizzes will only be allowed with official documentation and grades may be lowered. To qualify for a make-up, a student must have notified the professor and rescheduled in a timely manner.

GRADING STANDARDS- ASSESSMENT TOOLS

The grades will be evaluated based on the practical and written tests/ quizzes as follows.

 Class participation 100 points (20 questions @ 5 points) Assignments 300 points Exams and quizzes 400 points

The grading scale guideline: **
 A 92-100% A- 88-91% B+ 85-87% B 82-84% B- 78-81% C+ 75-77% C 72-74% C- 68-71% D+ 65-67% D 58-64% F 0-57%

UNIVERSITY POLICY

1) Attendance:

Lincoln University uses the class method of teaching, which assumes that each student has something to contribute and something to gain by attending class. It further assumes that there is much more instruction absorbed in the classroom than can be tested on examinations. Therefore, students are expected to attend all regularly scheduled class meetings and should exhibit good faith in this regard. For the control of absences, the faculty adopted the following regulations:

• Four absences may result in an automatic failure in the course.
• Three tardy arrivals may be counted as one absence.
• Absences will be counted starting with whatever day is specified by the instructor but not later than the deadline for adding or dropping courses.
• In case of illness, death in the family, or other extenuating circumstances, the student must present documented evidence of inability to attend classes to the Vice President for Student Affairs and Enrollment Management. However, in such cases the student is responsible for all work missed during those absences.
• Students representing the University in athletic events or other University sanctioned activities will be excused from class (es) with the responsibility of making up all work and examinations. The Registrar will issue the excused format to the faculty member in charge of the off- or on-campus activity for delivery by the student(s) to their instructors.
2) Statement on Academic Integrity:

Students are responsible for proper conduct and integrity in all of their scholastic work. They must follow a professor's instructions when completing tests, homework, and laboratory reports, and must ask for clarification if the instructions are not clear. In general, students should not give or receive aid when taking exams, or exceed the time limitations specified by the professor. In seeking the truth, in learning to think critically, and in preparing for a life of constructive service, honesty is imperative. Honesty in the classroom and in the preparation of papers is therefore expected of all students. Each student has the responsibility to submit work that is uniquely his or her own. All of this work must be done in accordance with established principles of academic integrity.

An act of academic dishonesty or plagiarism may result in failure for a project or in a course. Plagiarism involves representing another person's ideas or scholarship, including material from the Internet, as your own. Cheating or acts of academic dishonesty include (but are not limited to) fabricating data, tampering with grades, copying, and offering or receiving unauthorized assistance or information.

3) The Student Conduct Code:

Students will be held to the rules and regulations of the Student Conduct Code as described in the Lincoln University Student Handbook. In particular, excessive talking, leaving and reentering class, phones or pagers, or other means of disrupting the class will not be tolerated and students may be asked to leave. Students who constantly disrupt class may be asked to leave permanently and will receive an F.

4) The Core Curriculum Learner Competencies:

All courses offered through the Department of Mathematics and Computer Science require students to meet at least the following out of the 8 Core Curriculum Learner Competencies:

(1) Listen and effectively communicate ideas through written, spoken, and visual means;
(2) Think critically via classifying, analyzing, comparing, contrasting, hypothesizing, synthesizing, extrapolating, and evaluating ideas;

(6) Apply and evaluate quantitative reasoning through the disciplines of mathematics, computational science, laboratory science, selected social sciences and other like-minded approaches that require precision of thought;

(8) Demonstrate positive interpersonal skills by adhering to the principles of freedom, justice, equality, fairness, tolerance, open dialogue and concern for the common good.

Note:

* The instructor of a given section of the course may make some modifications to the evaluation as well as to the rest of the syllabi including but not limited to; the grade weights, number of tests, and test total points.

**The grading scale guideline includes a 2-point flexibility.

Please consult with the department chairperson for any program updates or corrections which may not be yet reflected on this page _ last updated 11/20/2007.

 Lincoln University of the Commonwealth of Pennsylvania 1570 Baltimore Pike, P.O. Box 179, Lincoln University, PA 19352 \ (610) 932-8300 \ Internet Privacy Policy, © Copyright, Lincoln University.