California University of Pennsylvania Guidelines for New Course Proposals University Course Syllabus Approved: 2/4/13

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1 California University of Pennsylvania Guidelines for New Course Proposals University Course Syllabus Approved: 2/4/13 Department of Business and Economics A. Protocol Course Name: Management Science II Course Number: BUS 381 Credits: 3.0 Prerequisites: MAT 225 and BUS 281 Maximum Class Size (face-to-face): 35 Maximum Class Size (online): N/A (Choose which one is appropriate or both if applicable) B. Objectives of the Course: After completing this course, students will be able to: 1. Define, and explain the advantages and limits of, the quantitative analysis approach to decision making. 2. Identify the appropriate quantitative technique for various situations. 3. Express complex situations using mathematical models. 4. Employ a spreadsheet or other software to apply various techniques and explain the resulting output. 5. Distinguish different types/sources of data and evaluate the appropriateness of a given data set/source for a particular purpose (including data consistency, validity and reliability). 6. Define and explain basic probability concepts; calculate probabilities of various events; apply these concepts to decision-making situations involving risk and uncertainty (decision analysis). 7. Develop multiple regression models and interpret related statistics. 8. Define, explain and utilize various forecasting techniques (moving averages, exponential smoothing, etc.) 9. Identify the assumptions of the linear programming and integer linear programming models; find solutions to these models graphically and using Excel; appropriately apply the models to various situations (e.g. network flow problems, transportation problems, optimal flow, shortest route, etc.) 10. Appropriately utilize other quantitative methods discussed in class. 11. Summarize, interpret and communicate model conclusions to decision makers; justify/support particular decisions based on evidence. C. Catalog Description: This course introduces students to the use of various quantitative tools to inform complex decision-making situations. Emphasis is placed on the application of the tools. Whenever possible, concrete examples, real-world applications and case studies are used to practice concepts. Topics may include the application of linear and dynamic programming, inventory control models, regression, forecasting, and simulation models to problems in economics, finance, management and marketing such as demand and sales forecasting, new product development, financial planning, production planning, staff scheduling, advertising strategy, resource allocation, risk analysis, and process design. Spreadsheets are used extensively.

2 D. Outline of the Course: I. The Quantitative Analysis Approach a. Steps of the process b. Developing models c. Data II. Probability a. Fundamental concepts b. Probability distributions and PDFs III. Decision Analysis a. Risk versus uncertainty b. Decision-making criteria IV. Regression Analysis a. Ordinary least squares b. Model evaluation c. Hypothesis testing V. Forecasting a. Types b. Forecast accuracy VI. Linear Programming a. Requirements of the LP model b. Graphical solutions c. Software-based solutions d. Applications i. Marketing applications ii. Manufacturing applications iii. HR applications iv. Finance applications v. Ingredient blending applications vi. Transportation applications e. Integer LP VII. Game Theory* a. GT modeling b. Pure strategies and mixed strategies c. Equilibrium concepts d. Applications VIII. Project Management* a. Introduction to PERT/CPM b. Time/cost tradeoffs IX. Inventory Control Models* a. Economic order quantity (EOQ) model b. Other IC models/applications (ERP, JIT) X. Queuing theory* a. Characteristics of queuing systems b. Single-channel queuing model c. Multiple-channel queuing model XI. Simulations* a. Monte Carlo simulation b. Applications (inventory analysis, queuing, maintenance, etc.) XII. Markov processes* XIII. Statistical Quality Control* a. Definitions and TQM

3 b. Control charts XIV. Dynamic Programming* * Faculty may choose topics based on their own interests/expertise and student interest/needs. E. Teaching Methodology: 1) Traditional Classroom Methodology includes, but is not limited to, lecture, case studies, in-class discussions, multi-media presentations, analysis of readings, reflections, individual projects, group projects, peer student comments, and incorporation of Internet resources. Emphasis will be placed on engaging the learner for involvement and active participation in the learning process. 2) Online Methodology Not applicable F. Text Render, Barry; Stair, Ralph, and Michael Hanna. (2011). Quantitative Analysis for Management 11 th Edition. New York: Prentice Hall. Anderson, David; Sweeny, Dennis; Williams, Thomas; et al. (2013). Quantitative Methods for Business 12 th Edition. Mason, OH: South-Western. Or other similar text. G. Assessment Activities: 1) Traditional Classroom Assessment The following are examples of assessment strategies that may be used. Individual instructors may customize different activities. a. Class Participation b. Written assignments and papers c. Exams and/or quizzes d. Individual projects e. Group projects f. Case studies g. Article/Book critiques h. Journal reflections i. Portfolio development j. Research development 2) Online Assessment Not applicable H. Accommodations for Students with Disabilities: OSD Revised December 2012 STUDENTS WITH DISABILITIES Students with disabilities:

4 Reserve the right to decide when to self-identify and when to request accommodations. Will register with the Office for Students with Disabilities (OSD) each semester to receive accommodations. Might be required to communicate with faculty for accommodations, which specifically involve the faculty. Will present the OSD Accommodation Approval Notice to faculty when requesting accommodations that involve the faculty. Office for Students with Disabilities Requests for approval for reasonable accommodations should be directed to the Office for Students with Disabilities (OSD). Approved accommodations will be recorded on the OSD Accommodation Approval notice and provided to the student. Students are expected to adhere to OSD procedures for self-identifying, providing documentation and requesting accommodations in a timely manner. Contact Information: Location: Azorsky Building Room 105 Phone: (724) Fax: (724) Web Site: (search disability ) ************************************************************* Please Note: This syllabus attachment is also available in electronic format: Go to: Microsoft Outlook Open: Public Folders Open: All Folders Highlight: Faculty/Staff Resources Open: Announcement Academic Syllabus Attachment I. Supportive Instructional Materials, e.g. library materials, web sites, etc. marketingpower.com gallup.com census.gov mra-net.org secondarydata.com finance.yahoo.com unstats.un.org/

5 Additional Information for Course Proposals J. Proposed Instructors: Drs. Cole, Hettler, Li, Matecki and other faculty approved by the Business and Economics department. K. Rationale for the Course: Businesses in the 21 st century have at their disposal enormous quantities of data generated through all aspects of their activities. In order to make use of this data, modern business decision-making must be supported by high quality quantitative analysis. Today s students must be prepared to provide this decision support by being familiar with common methods of management science and comfortable working in an analytical framework. Examples of the use of these methods can be found within every business discipline (and in every industry and occupation). Some would include: Identification of market segments and target markets Pricing models/optimal pricing Demand forecasting models (both inputs and outputs) Customer satisfaction estimates Logistics/supply chain models New product development optimization (conjoint analysis) Stock return prediction (Predict the percentage return on a company's common stock by running regressions on asset pricing models such as Capital Asset Pricing Model, Fama- French Model, Four Factor Models, etc.) Construction of the Efficient Frontier of a portfolio and find the optimal portfolio Predict exchange rate with various macro factors Critical path analysis or project planning: identifying those processes in a complex project which affect the overall duration of the project Floorplanning: designing the layout of equipment in a factory or components on a computer chip to reduce manufacturing time (therefore reducing cost) Network optimization: for instance, setup of telecommunications networks to maintain quality of service during outages Allocation problems and blending problems Facility location Assignment Problems (that is, problems in which there are a number of agents and a number of tasks. Any agent can be assigned to perform any task, incurring some cost that may vary depending on the agent-task assignment. It is required to perform all tasks by assigning exactly one agent to each task and exactly one task to each agent in such a way that the total cost of the assignment is minimized) Bayesian search theory : looking for a target Optimal search Routing, such as determining the routes of buses so that as few buses are needed as possible Automation: automating or integrating robotic systems in human-driven operations processes Globalization: globalizing operations processes in order to take advantage of cheaper materials, labor, land or other productivity inputs Transportation: managing freight transportation and delivery systems (Examples: LTL Shipping, intermodal freight transport)

6 Scheduling: o Personnel staffing o Manufacturing steps o Project tasks o Network data traffic: these are known as queueing models or queueing systems. o Sports events and their television coverage L. Specialized Equipment or Supplies Needed: This course should be taught in a computer lab classroom such at Keystone 400. M. Answer the following questions using complete sentences: 1. Does the course require additional human resources? (Please explain) This course does not require additional human resources. 2. Does the course require additional physical resources? (Please explain) This course does not require additional physical resources. 3. Does the course change the requirements in any particular major? (Please explain) This course will be a required part of the business core for the Bachelor of Science in Business Administration, all concentrations. 3. Does the course replace an existing course in your program? (If so, list the course) This course does not replace an existing course. 4. How often will the course be taught? This course will be offered every semester and summers/intercessions as needed. 5. Does the course duplicate an existing course in another Department or College? (If the possibility exists, indicate course discipline, number, and name) This course does not duplicate any existing course. N. If the proposed course includes substantial material that is traditionally taught in another discipline, you must request a statement of support from the department chair that houses that discipline. N/A O. Please identify if you are proposing to have this course considered as a menu course for General Education. If yes, justify and demonstrate the reasons based on the categories for General Education. The General Education Committee must consider and approve the course proposal before consideration by the UCC. N/A P. Provide Approval Form (electronically).

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