Riyadh Philanthropic Society for Science Prince Sultan University Dept of Marketing & Management مؤسسة الرياض الخيرية للعلوم جامعة األمير سلطان قسم العلوم األدارية والتسويق Course Syllabus – Fall 2012 Quantitative Methods for MBA Instructor’s name: Dr. Sajed Abukhader Office hours: Look up website for a schedule Tel and email: 01 – 4948534 abukhader2000@gmail.com Course Description College of Business Administration The Innovative Business School Vision Our vision is to be a hallmark of excellence and innovation in business education in the Kingdom of Saudi Arabia. Mission Our mission is to promote excellence and innovation in business education, research, and service in the Kingdom of Saudi Arabia in line with international standards. Quantitative methods span a wide range of topics related to statistical analysis, modeling, and decision making. This course, as a pre-requisite for non-business students, equips enrolled students with fundamental tools including statistics, forecasting techniques, linear programming, PERT/CPM project, location analysis, transportation and assignment problems, etc. Course Objectives The course aims at: Preparing non-business students for the forthcoming MBA courses from a quantitative perspective Equipping students with a selected set of fundamental quantitative methods and tools Learning Outcomes At the end of the course, students should be able to: Estimate the demand values for production purposes Model a business application into variables and constraints seeking an optimal solution Select a location for the facility such that costs incurred are minimal Assign sources and destinations for transportation and schedule labor to jobs Find the shortest path for handling the project مؤسسة الرياض الخيرية للعلوم Riyadh Philanthropic Society for Science جامعة األمير سلطان Prince Sultan University Dept of Marketing & Management قسم العلوم األدارية والتسويق Course Materials/Possible References Anderson et al. Quantitative Methods for Business , 11th or 12th edition , McGrawHill Hamdy Taha. Operations Research – An Introduction. 8th edition, PrenticeHall Topics Coverage 1. 2. 3. 4. 5. 6. 7. Introductory: data description and basic statistics Probability distributions Forecasting techniques Linear programming Minimal spanning tree, Shortest route and Assignment algorithms Location analysis Analytic hierarchy process Marks Scheme Assessment Items Total 100 marks* Important notes Class participation 6 Attendance 2 If you are absent two days, then you lose one mark; three days absent then two marks lost! Homeworks 2 Late submissions are not acceptable! Mini-case work 5 Submission of a group report WITH a presentation (Last day of the semester) First Exam 20 Date: November 4th Second Exam 25 Date: December 16th Final Exam 40 A denial (deprivation from final exam) will be issued to the student after making absences 4 days * The teacher reserves the right to change this distribution, if he deems fit, and in that case the matter would be communicated to you.