Course and Contact Information. Yudhi Ahuja, Ph.D. BBC 565. Prerequisites: Math 71 and BUS 90 Business Statistics

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1 San José State University Department of Marketing and Decision Sciences BUS / Quantitative Business Analysis Spring 2017 January 26 to May16, 2017 Course and Contact Information Instructor: Office Location: Yudhi Ahuja, Ph.D. BBC 565 Telephone: Office Hours: Class Days/Time: Monday and Wednesday:11 a.m. to 12 noon Tuesday and Thursday: 12 noon to 1 pm Mondays and Wednesdays: 1.30 p.m. to 2.45 p.m. Classroom: BBC 103 Prerequisites: Math 71 and BUS 90 Business Statistics GE/SJSU Studies Category: Faculty Web Page and MYSJSU Messaging Course materials such syllabus handouts etc. can be found on my faculty web page at and Canvass. Some messages may be sent at MYSJSU. You are responsible for regularly checking with the messaging system through MYSJSU at to learn of any updates Course Description -. Quantitative models and optimization systems used in problem-solving. Studies of decision criteria, statistical decision making, linear programming, inventory control Project Scheduling/Management Theory, PERT/CPM, simulation, and other techniques used in management. 1

2 Course Goals and Student Learning Objectives -The course will emphasize basic principles of mathematical modeling, computational algorithms and spreadsheet computer solutions of optimization, decision analysis, simulation and network based methods applied to business problems. I. Students will learn various aspects of Linear Programming How to formulate word problems algebraically? How to obtain Graphical Solutions to problems with two variables How to set up Linear Programming problems in the spreadsheet How to use the Excel Solver to solve LP problems in the spreadsheet? How to read and interpret the Answer and Sensitivity reports from the Solver How to formulate Distribution and Network Models? How to do Project Scheduling through PERT/CPM II. Students will learn various aspects of CPM/PERT analysis Critical Path Method (based on estimated time durations, one per activity) PERT Probability Calculations (based on normal distribution for CP duration) Project Crashing (for time-cost trade-off analysis) How to create, read and interpret the Descriptive Statistics and Histogram reports from the Data Analysis ToolPak in Excel III. Students will learn how to solve Decision Analysis problems by hand Payoff Table analysis for the Basic Decision Problem Expected Value Criteria and the Expected Value of Perfect Information Decision Tree analysis for the Basic Decision with sampling option Bayesian Inversion and the Expected Value of Sample Information In addition, at least one project (or case) will be assigned that requires the use of computer software. Learning Outcomes Upon successful completion of this course, students will be able to: Formulate linear programming models Create, read and interpret Excel SOLVER solutions for linear programming problems Solve two dimensional linear programming problems graphically Perform payoff table and decision tree analysis for decisions under risk Perform CPM/PERT analyses of projects with uncertain Required Text Book Anderson -. Sweeney and. Williams, Quantitative Methods for Business, Cengage Learning, 13e, 2016, ISBN

3 Other Readings Handouts as given by the Professor in the class or posted to Canvass. Students are required to learn Microsoft Excel on their own and use it for the course as indicated by the Professor from time to time. A presentation may be made in the class to help the students. Other Technology Requirement Students are required to learn /refresh Microsoft Excel Solver on their own to facilitate their own learning in the class. A presentation may be made in the class to help the students further in this direction.. Course Requirements and Assignments The course requires conceptual understanding through assignments/quizzes, problem solving by using formulas and excel solver techniques and case study analysis for real life applications. Students may be assigned specific case studies for using excels solver and finding solutions to real life applications. A project may be assigned -PROJECTMANAGEMENT/SCHEDULING with specific reference to a case study. Final Examination The Final Examination is totally problem solving approach and its schedule is given in the course schedule. Assignments and Grading Policy There will be regular assignments/quizzes covering the entire course and carrying a total of 100 points. Case Solutions is very critical in this case and students will solve assigned by using Excel Solver. Four/Five case studies will be assigned carrying a total of 100 points. The Group Project Work as assigned below including one case solution on Project Management will carry a total of 100 points. The Final Examination carrying 100 points will be held towards the end of course completion BUT completely on Problem Solving THUS THERE WILL BE TOTAL OF 400 POINTS. The examinations will be a closed-book and closed-notes but based on the examples discussed in the class, handouts (if any), text book problems and homework problems, quizzes and assignments. Students will be allowed a Formula Sheet in the Final Examination as prepared by the Professor. 3

4 Course Grading Score (%) 94 and above Grade A+ A A- B+ B B- C+ C C- D+ D D- Below 60 Task F % of Course Grade Assignments/Quizzes 25 Case Analysis 25 Project Work 25 Final Examination 25 Extra Grade Credits 0 Total 100 4

5 Classroom Protocol Lucas College and Graduate School of Business: Program Goals and Class room policy University Policies (Required) Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs Syllabus Information web page at Lucas College and Graduate School of Business: Mission: We are the institution of opportunity in Silicon Valley, educating future leaders through experiential learning and character development in a global business community and by conducting research that contributes to business theory, practice and education. College of Business Program Goals: (Not all program learning goals are covered in every course I. Business Knowledge To understand the fundamental principles of essential business functions and the relationship of business to individuals, government, society, and other organizations To obtain specialized knowledge of a single business discipline or functional area II a. Business Skills - Communication, Leadership and Ethics To express ideas clearly, logically, and persuasively in oral and written communication To comprehend the challenges and opportunities of working effectively with other people in a diverse environment To demonstrate awareness of how ethical issues and responsibilities affect decisions and actions II b. Business Skills - Critical Thinking and Analysis To comprehend and critically evaluate information presented in written and numeric form To analyze complex, unstructured qualitative and quantitative problems, using appropriate tools and technology 5

6 Teaching Schedule: BUS /20119: Quantitative Business Analysis: Spring 2017 Week Date Topics, Readings, Assignments, Deadlines 1 M-1/30 W-2/1 2 M-2/6 W-2/8 3 M-2/13 W-2/15 4 M-2/20 W-2/22 5 M-2/27 W-3/1 6 M-3/6 W-3/8 7 M-3/13 W-3/15 8 M-3/20 W-3/22 Students/Professor Interaction: Syllabus Overview Chapter 1 Introduction Problem Solving and Decision Making Chapter 1 Introduction Quantitative Analysis Chapter 2 Probability Review Chapter 3 Probability Distribution Normal Distribution Review Assignment I: Chapters 1, 2 & 3: Conceptual and Problem Solving: Scant Ron Chapter 4 Decision Analysis Chapter 4 Decision Analysis Chapter 6 Time Series Analysis and Forecasting Chapter 6 Time Series Analysis and Forecasting Assignment II Chapters 4 & 6 Conceptual and Problem Solving: Scantron Chapter 7 Introduction to Linear Programming Chapter 7 Introduction to Linear Programming Chapter 8 Linear Programming Sensitivity Analysis & Interpretation Chapter 9 Linear Programming Applications EXCEL SOLVER PRESENTTION 9 3/27 to 31 SPRING RECESS: CAMPUS CLOSED 10 M-4/3 W-4/5 11 M-4/10 W-4/12 12 M-4/17 W-4/19 13 M-4/26 W-4/26 14 M-5/1 W-5/3 15 M-5/8 W-5/10 Assignment III Chapters 7 & 8: Conceptual and Problem Solving: Scant Ron Chapter 10 Distribution and Network Models Chapter 10 Distribution and Network Models Chapter 13 Project Scheduling Chapter 13 Project Scheduling PROJECT MANAGEMENT AND R.C.COLEMN CASE Assignment IV Chapters 9 & 10: Conceptual & Problem Solving: Scant Ron Chapter 14 Inventory Models Chapter 14 Inventory Models Assignment V: Chapter 13 & 14 Conceptual and Problem Solving Project Presentation Project Presentation 16 M-5/15 Final Examination Review a May 22, 2017nd Structure 6

7 IMPORTANT NOTES: FINAL EXAMINATION: Monday May 22, 2017: pm to pm: BBC 103 CUMULATIVE BUT MULTIPLE CHOICE/TRUE AND FALSE STATEMENTS TO TEST TOTAL UNDERSTANDING OF STUDENTS ABOUT THE CUMULATIVE COURSE IS THE BASIS. SCANTRON NEEDED. PROJECT WORK WHAT IS PROJECT MANAGEMENT? EXPLAIN ITS SIGNIFICANCE IN THE CONTEXT OF BUSINESS ANALYTICS, BIG DATA AND APPLICATION TO REAL WORLD BY RELATING TO SOME SELECT COMPANIES USING IT/BIG DATA. STUDENTS ARE ADVISED TO COVER PRACTICAL APPLICATIONS IN ALL BUSINESS AREAS: MARKETING, INTERNATIONAL BUSINESS, FINANCE, ACCOUNTING, HUMAN RESOURCES, IT AND ANY OTHER AREA THEY CONSIDER RELEVANT. PRACTICAL APPLICATIONS MAY BE FOUND IN THE TEXT BOOK AND FROM GOOGLE WEBSITE. ANALYZE THE CASE R.C. COLEMAN GIVEN IN YOUR BOOK IN THE CHAPTER ON PROJECT SCHEDULING: PERT/CPM (CHAPTER 13) PROJECT REPORT SUBMISSION DEADLINE: Monday:1 st May 2017 ASSIGNMENT-QUIZZES All assignments/quizzes will be based on the chapters as indicated in the syllabus above. Multiple Choice Questions, True and False Statements and Problem Solving Questions will be given to develop conceptual understanding, use of formulas for problem solving and practical applications in the real world. SCANTRON UPTO 100 QUESTIONS IS REQUIRED PRACTICE PROBLEMS Problem Solving based on Formulas constitutes an important part of course evaluation. However, problem solving needs considerable practice and conceptual understanding. Students will be assigned practice problems at the end of every chapter which they can do on their own without submitting to the Professor. In general STUDENTS MUST PRACTICE SELF TEST AND EVEN NUMBER PROBLEMS FOR WHICH SOLUTIONS ARE GIVEN TOWARDS THE END IN THE TEXT BOOK. In addition to this, Professor may be solving some problems in the class to support problem solving further. 7

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

San José State University Department of Marketing and Decision Sciences BUS 90-06/30174- Business Statistics Spring 2017 January 26 to May 16, 2017 Course and Contact Information Instructor: Office Location: