MSC 600 Course Syllabus Dr
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MSC 600 Course Syllabus Dr. Stafford Spring 2002 Page 1 MSC 600 PRODUCTION MANAGEMENT COURSE SYLLABUS SPRING 2002
MSC 600-01 Wednesdays, 5:30-8:30 PM AS 121 Final Exam: Wednesday, April 24, in Class
INSTRUCTOR: Dr. Edward F. Stafford OFFICE: ASB 310 PHONE: 824 - 6565 DEPARTMENT: Economics & Finance OFFICE: ASB 333 PHONE: 824 - 6590
E-MAIL ADDRESS: [email protected]
OFFICE HOURS: Tues and Thurs 11:00 AM - 12:30 PM, 2:10 - 3:30 PM Wed 1:00 PM - 5:00 PM {call first} Mon & Wed by Appointment
TEXTBOOK(S) Chase, Aquilano and Jacobs, Operations Management, 9th ed, 2001 & MATERIALS: Scientific calculator with these functions: ln, log, eX, 10X, yX, nCr , n! Miscellaneous Course Handouts, as needed.
CLASS WEB PAGE: http://cas.uah.edu/stafford/ click on MSC 600
GRADING: Your final course grade will be based on the following: Heading Quizzes (20 pts ea, best 5 of 6) 100 Homework Quizzes (20 points each, best 10) 200 Midterm Exam 200 Final Exam {partially comprehensive} 300 Total Points 800
IMPORTANT DATES: (Examination dates are tentative)
January 18 Last day to withdraw and receive refund January 21 Martin Luther King Day - - no classes on campus February 27 Midterm March 23-30 Spring Break April 16 Honors Day - - No Class {Makeup Day “just in case”} April 24 Last Class of Course Final Exam April 25 - May 1 Final Examinations {See Top of Page}
CLASS MEETINGS: January {4} 9, 16, 23, 30 February {4} 6, 13, 20, 27 March {3} 6, 13, 20 April {4} 3, 10, 17, 24
UAH POLICY: Students are referred to Chapter 5 of the Student Handbook for the University Academic Policies. Students are expected to adhere to the University Code of Student Conduct as set forth in Chapter 7 of the Student Handbook. In particular, “Students are held responsible for the full work of the course, including participation in discussion and work of the class each class meeting.” All homework (including computer assignments), quizzes, and examinations must be your own work unless otherwise specified. MSC 600 Course Syllabus Dr. Stafford Spring 2002 Page 2 ATTENDANCE is a VERY IMPORTANT component of learning the material in this course.
COMPUTER ASSIGNMENTS. The student will be assigned at least 4, and as many as 8 computer-based assignments. Most will involve the use of Excel. All Excel-based assignments include the submission of “equations,” printed by Excel, attached to the turn-in portion of the assignment. No computer assignments will be accepted after these assignments have been returned to the class. LINDO assignments are included here too.
HOMEWORK QUIZZES. Various problems will be assigned to be solved. The student will solve these outside of class, then bring the solutions with her/him to class on the appointed night. Using these solutions, the student will take a 20-point quiz related to each problem or each small group of problems. Only the best 10 of these will be counted for each student.
READING QUIZZES. Six chapters will be assigned as reading chapters. Each student will read these chapters, one by one, on his/her own. A set of 20 true-false and/or multiple choice questions will be provided for each chapter. On the appointed night, at the beginning of class, the student will take a 20-point quiz based on these questions. Only the best 5 of these will be counted for each student.
EXAMINATIONS. Both examinations are open book, open note. This includes any solutions to problems assigned as take-home-to-solve-before-the-exam.
MAKE-UP WORK. In general, no quiz or examination may be made up without prior permission. Exceptions are those limited to those that can be substantiated in writing by a physician, clergyman, or university official. Prior notification of the instructor by telephone or email significantly increases the likelihood of being able to make up missed work. Quizzes may not be made up after the quiz has been returned to the class, for obvious reasons.
COURSE OBJECTIVES: (1) To learn the basics of quantitative tools for production including queuing theory and linear programming; (2) to learn, through self-study, some basic definitions, facts, and vocabulary related to the ever- changing area of production management; (3) to learn, through in-class lectures, how to apply various quantitative techniques to solving problems common to modern business, especially in the local area; and (4) to learn and experience the power of computers for solving rather quickly production problems.
COURSE COVERAGE.
Quantitative Methods Reading Chapters Quantitative Applications 1 Queuing Theory (TN.6) 1, 2, 4, 5, 6, 7 1 Learning Curves (TN.2) 2 Linear Programming 2 Operator-Machine Assignment Problem (TN.4) (Sup. A) 3 Assembly Line Balancing (TN.5) 4 Statistical QC (TN.7) 5 Transportation Problem (TN.9) 6 Center of Gravity Location Method (TN.9) 7 Inventory Control (Ch. 13) 8 Scheduling (Ch. 15)