The ultimate purpose of collecting the data is to provide a basis for action or a recommendation - Dr. W. Edwards Deming

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UNIVERSITY OF WISCONSIN OSHKOSH College of Business Administration BUS 342 - Analytical Methods in Operations Management Class: Tue & Thu: 11.30 am 1.

1 UNIVERSITY OF WISCONSIN OSHKOSH College of Business Administration BUS Analytical Methods in Operations Management Class: Tue & Thu: am 1.00 pm, Sage 1239 Semester: Fall 2012 The ultimate purpose of collecting the data is to provide a basis for action or a recommendation - Dr. W. Edwards Deming Instructor: Office: Office Hours: Dr. Raj Kamalapurkar 1414 Sage Hall kamalapd@uwosh.edu Mon: 9.30 am am Tue & Thu: 1.30 pm 2.30 pm and by Appointment Program Assistant: Ms. Carmen Plueger, (920) Prerequisite: BUS 341 (may take concurrently) and BUS 389 (may take concurrently) Required Textbook An Introduction to Management Science - Quantitative Approaches to Decision Making, Revised 13th Edition, by Anderson, Sweeney, Williams, Camm and Martin, South-Western, 2011 Course Description This course in analytical methods basically involves mathematical modeling. The types of models studied are referred to by several different terms, including: operations research, management science, and quantitative methods. Specific techniques include mathematical programming (linear and integer), computer simulation, decision analysis, Little s Law, and project scheduling. These techniques are studied in the context of operations management applications. Formulation of models, interpretation of results, and applications are emphasized. Course Objectives 1. To understand the role of analytical methods in operations management. 2. To become familiar with the important analytical methods and their application in operations management, including assumptions in their formulation and other limitations. 3. To understand the concepts and terminology of analytical methods. 4. To become familiar with mathematical programming techniques, especially linear programming.

2 5. To understand how the widely available Excel application can solve many complex problems for a company 6. To understand the role of modeling in management. 7. To learn about project scheduling methods 8. To gain experience in the use of Little s Law as applied to queuing problems. 9. To become familiar with goals such as people and planet concerns in addition to tradition bottom line (profit) goals. Course Evaluation Grades will be determined based on following points Exam1 100 Exam2 100 Final Exam Total Grading Scale The following grade scale will be used Percentage Grade % A % A % B % B % B % C % C % C % D % D % D- < 60% F (Fail)

3 General Class Guidelines The classes will be conducted both in the lecture halls and in the computer labs. The schedule shows the dates on when the class will be conducted in the lecture halls and in the computer labs. Your involvement in the class is critical for the learning process and so you need to come prepared to engage in class discussions and work on problems. We will be working on many problems in the class as well as in the computer labs. Students are expected to listen attentively when the instructor or other students are speaking. During the class you need to refrain from engaging in private conversations or discussions with other students. You should treat the class as a business meeting and be courteous and respectful of all fellow students, the professor and the educational experience. Unprofessional communication conduct via , phone, in-class, D2L, etc. will result in a minimum subtraction of 25 points from your point total. Lab Policy: Lab time is generally used for solving problems using Excel Solver. This is a not time for checking , checking Facebook, surfing the web, texting on your cell phones or doing anything unrelated to this course. During class, cell phones are to be turned off or set to vibrate and stored in the backpacks. Laptops may be used for taking notes and working on the topic being discussed in the class. Surfing the web, sending , watching videos or doing anything unrelated to this course is prohibited. Self-Test Exercises In the textbook, certain exercises are identified as self-test exercise. Completely worked out solutions for those exercises are provided in an appendix at the end of the text. Students should attempt the self-text exercises and immediately check the solution to evaluate their understanding of the concepts presented in the chapter. Be sure that you understand how to do the problems because they will be basis for exams. If you have any questions, you can discuss with me during my office hours (or by appointment). Exams There will be three exams during the semester. All exams will be closed book and closed notes. You may not bring any study aids to the exams. Exam1 and Exam2 will be given over two days: Tuesday in the regular classroom and Thursday in the computer lab. The format of Lab Part of Exam1 and Exam2: I will give you 2 or 3 problems for which you must create the Solver models. You must create your own Solver models from scratch. You must print your model formulation for submission, i.e., define the decision variables, objective function, and constraints, on the exam along with your answers for the problems. You should make sure that you have your name on the printouts. Then, you must submit your Excel files to the D2L dropbox before the end of class period. The Lab Part of an exam is worth 50/100 points. The Final Exam will be held in the regular classroom. The dates for all exams are listed on the schedule and also listed under Important Dates.

4 The solution for exams will be reviewed briefly in class. During the review of an exam you will not be permitted to take any notes. After we have completed our review, you must return all documents to me or else you will receive a grade of zero on that exam. Students may ask questions about graded exams at the end of class. This allows me to provide you my undivided attention. There will be no makeup exams. Any makeup exams may only be allowed with valid documented excuse (but still are at the complete discretion of the instructor). Desire2Learn and The web-based system Desire2Learn will be used for communication from me to the entire class. I will be posting course documents and course announcements on Desire2Learn. You are expected to check your and Desire2Learn on a regular basis. When you me, use a proper salutation, a proper closing, proper grammar and spelling, as you would in a professional business letter (will be helpful in your career). I recommend that you include BUS 342 in the subject line of all s sent to me for this course. I will do everything I can to respond to your s within 24 hours. If I am unable to respond to you within 24 hours (e.g. due to traveling, etc.) then I will try to let you know in advance. I encourage you to meet me during my office hours (and by appointment) to discuss any questions you may have related to this course. If you have questions that need explanation, you need to meet and discuss with me, as is not a very effective medium for these situations. If you have questions about grading, your performance in the class, or any personal issues that you need to discuss, you must come in during my office hours (and by appointment) to talk to me. is not an effective way to discuss these issues. We are trying to encourage proper business conduct in the courses that will help you to be successful in your career. Academic Integrity Discussing any aspect of an exam with another BUS 342 student when one of you has taken the exam and the other has not, is unethical and a violation of academic integrity. Also, students involved in cheating and plagiarism are subject to the maximum penalties permitted by the UW Oshkosh Student Discipline Code. ** Remember: grades are not given by me, they are earned by you ** Keys to Success in this Course 1. Read the textbook and all materials posted on the web site thoroughly. 2. Show up for class prepared to learn and to work on many problems. 3. Work on self-test exercises outside of class and also ask questions. 4. Avoid cheating and abide by the UW Oshkosh Student Discipline Code.

5 More on Submitting Files to the D2L Dropbox Dropbox Policy It has come to our attention that students in some classes may be submitting blank or corrupt files to the dropbox folder on purpose to buy extra time to complete their assignments. Therefore, I am instituting the following policy with respect to dropbox submissions. You will lose points for any incorrect file or any file that does not open correctly. So it is YOUR Responsibility to verify that all of your materials are submitted successfully to the dropbox AND that they open correctly. See below for detailed steps. Submitting a File to the Dropbox Follow these steps to submit your file to appropriate Dropbox folder by the date and time specified on the course calendar (or specified by the instructor). 1. In the Dropbox area, click the name of the appropriate folder. 2. Click ADD A FILE. 3. To locate your file, click BROWSE 4. Navigate to and double-click the file. 5. Click UPLOAD. 6. After the file has been uploaded, click SUBMIT. Verifying Your File Submission You will receive an from D2L saying that you successfully uploaded a file to the Dropbox. Keep a copy of this message! It is YOUR responsibility to verify the following: 1. That the file was uploaded in the format specified by your instructor (e.g., Word, Excel). 2. That the file is not corrupt or blank and opens correctly when clicked. To verify, follow these steps 1. Go to the Dropbox area. 2. Click HISTORY. 3. From the Folder pull-down list, select the folder to which you just submitted your file. 4. Verify that the correct filename is shown there. 5. Click the filename and open the file. 6. Verify that it is the file that you intended to upload. If it is not the correct file, you can upload another file before the due date time. Be sure to put a note in the Description letting your instructor know which file you want to be graded.

6 Tentative Schedule Date Thursday, Sep 06 Tuesday, Sep 11 Thursday, Sep 13 Tuesday, Sep 18 Thursday, Sep 20 Tuesday, Sep 25 Thursday, Sep 27 Tuesday, Oct 02 Thursday, Oct 04 Tuesday, Oct 09 Thursday, Oct 11 Tuesday, Oct 16 Thursday, Oct 18 Tuesday, Oct 23 Thursday, Oct 25 Tuesday, Oct 30 Thursday, Nov 01 Tuesday, Nov 06 Thursday, Nov 08 Chapter Details Introduction of instructor, students and syllabus Chapter 1: Introduction to the course Chapter 2: Introduction to Linear Programming Work on problems from Chapter 2 Introduction to the Excel Solver Chapter 2: Introduction to Linear Programming Continue to work on Chapter 2 problems Continue to work on Chapter 2 problems Chapter 3: Linear Programming-Sensitivity Analysis Work on problems from the Chapter 3 Continue to work on Chapter 3 problems Chapter 4: Linear Programming Applications Work on problems from Chapter 4 Continue to work on Chapter 4 problems Provide the details for Exam 1 Meet in the Regular Classroom Exam 1 In Class Part Exam 1 In Lab Part Review Exam 1 (both class and lab parts) Chapter 4: Linear Programming Applications Chapter 4: Linear Programming Applications Chapter 6: Distribution and Network Models Work on problems from the Chapter 6 Continue to work on problems from Chapter 6 Chapter 6: Distribution and Network Models Continue to work on problems from Chapter 6 Chapter 7: Integer Linear Programming Work on problems from Chapter 7 Provide details for Exam 2

7 Tuesday, Nov 13 Thursday, Nov 15 Tuesday, Nov 20 Thursday, Nov 22 Tuesday, Nov 27 Thursday, Nov 29 Tuesday, Dec 04 Thursday, Dec 06 Tuesday, Dec 11 or Thursday, Dec 13 Meet in the Regular Classroom Exam 2 In Class Part Exam 2 In Lab Part Self-Study Day (Instructor at Conference) Happy Thanks Giving (No Class) Review the Exam 2 Chapter 9: Project Scheduling-PERT/CPM Chapter 9: Project Scheduling-PERT/CPM Chapter 11: Waiting Line Models Chapter 13: Decision Analysis Provide details for Exam 3 Final Exam: In regular classroom There is no lab part for this exam You can take this exam on either day Note: This is a tentative schedule. As some chapters may take more time than others, some chapters/topics will overlap and may be covered in the preceding or the following classes. Important Dates First Day of Class September 6 Exam1 Dates Oct 09 and Oct 11 Exam2 Dates Nov 13 and Nov 15 Self-Study Day November 20 (Instructor at conference) Thanks Giving November 22 (No class) Final Exam Dec 11 or Dec 13

McKendree University School of Education Methods of Teaching Elementary Language Arts EDU 445/545-(W) (3 Credit Hours) Fall 2011

McKendree University School of Education Methods of Teaching Elementary Language Arts EDU 445/545-(W) (3 Credit Hours) Fall 2011 Instructor: Dr. Darryn Diuguid Phone: 537-6559 E-mail: drdiuguid@mckendree.edu