{"ModuleCode":"BDC5101","ModuleTitle":"Deterministic Operations Research Models","Department":"Decision Sciences","ModuleDescription":"This module is a first thread in the quantitative decision making and provides the basic quantitative background for courses in finance, operations management, and supply chain management. Operations research (OR) has been applied extensively in such diverse areas as financial planning, logistics and supply management, public service, health care, manufacturing, telecommunication and military, to name just a few. In this module, deterministic operations research models relevant to business decision making will be covered. The emphasis is on model building, solution methods, and interpretation of results. Topics covered include: linear and non-linear programming, dynamic programming, integer programming, heuristic problem-solving methods and other interesting OR topics. Computer packages for OR modelling may be used.","ModuleCredit":"4","AcadYear":"2014/2015","History":[{"Semester":1,"Timetable":[{"ClassNo":"F1","LessonType":"Lecture","WeekText":"Every Week","DayText":"Tuesday","StartTime":"1800","EndTime":"2100","Venue":"BIZ1-0201"}],"IVLE":[{"Announcements":null,"Forums":[],"Workbins":[],"Webcasts":[],"Gradebooks":[],"Polls":[],"Multimedia":[],"LessonPlan":[],"ID":"dbac93bb-1799-48ad-a260-18104ffaae96","CourseLevel":"1","CourseCode":"BDC5101","CourseName":"DETERMINISTIC OPERATIONS RESEARCH MODELS","CourseDepartment":"","CourseSemester":"Semester 1","CourseAcadYear":"2014/2015","CourseOpenDate":"/Date(1407168000000+0800)/","CourseOpenDate_js":"2014-08-05T00:00:00","CourseCloseDate":"/Date(1420041540000+0800)/","CourseCloseDate_js":"2014-12-31T23:59:00","CourseMC":"0","isActive":"N","Permission":"S","Creator":{"UserID":null,"Name":"Teo Chung Piaw","Email":null,"Title":null,"UserGuid":"f7362622-c3f0-4bb8-a7a9-e2075d46787a","AccountType":null},"hasGradebookItems":false,"hasTimetableItems":true,"hasGroupsItems":false,"hasClassGroupsForSignUp":false,"hasGuestRosterItems":true,"hasClassRosterItems":false,"hasWeblinkItems":false,"hasLecturerItems":true,"hasDescriptionItems":true,"hasReadingItems":false,"hasAnnouncementItems":false,"hasProjectGroupItems":false,"hasProjectGroupsForSignUp":false,"hasConsultationItems":false,"hasConsultationSlotsForSignUp":false,"hasLessonPlanItems":true,"Badge":0,"BadgeAnnouncement":0,"WebLinks":[],"Lecturers":[{"ID":"bf88c17d-26f4-4a96-bfdc-ce80a9556ae8","User":{"UserID":null,"Name":"Teo Chung Piaw","Email":null,"Title":null,"UserGuid":"f7362622-c3f0-4bb8-a7a9-e2075d46787a","AccountType":null},"Role":"Lecturer ","Order":1,"ConsultHrs":null},{"ID":"c40c45e6-b5d3-46f0-b9c5-194fc4653af9","User":{"UserID":null,"Name":"YAN ZHENZHEN","Email":null,"Title":null,"UserGuid":"c8f10624-1143-4e65-8865-f7732d3db6a6","AccountType":null},"Role":"Teaching Assistant ","Order":2,"ConsultHrs":null}],"Descriptions":[{"ID":"1e5f053b-8835-4692-be49-41f07234cfff","Title":"Learning Outcomes","Description":"By using techniques such as mathematical modeling to analyze complex situations, operations research tools give executives the power to make effective decisions and build productive systems based on more complete data, evaluation of all available options, and careful predictions of outcomes. This body of knowledge is essential for Business analysts and consultants in the big data era, who hold strategic positions within the knowledge-oriented firm. They support the Supply Chain, Marketing, Finance and HR departments in refining their processes, making them more efficient, profitable and customer-centric.
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\nThe objective of this course is to INTRODUCE and INTEGRATE knowledge in this area with applications in business analytics, logistics and supply chain management. It prepares participants for the work environment and the diverse challenges faced by business analysts and consultants. The course uses the pedagogical medium of hands on exercises and classroom discussion to provide exposure to OR tools and analytical problems arising across business departments today. The course will enable participants to achieve 2 major objectives:
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\n(1) Polish their thinking and mathematical skills in Operations Research and
\n(2) Formulate problems arising in different context using the lenses of Operations Research
\n","Order":1},{"ID":"2e5f053b-8835-4692-be49-41f07234cfff","Title":"Prerequisites","Description":"Undergraduate Management Science or Operations Research and Linear Algebra module or equivalent.
\n","Order":2},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"Team Term Paper 20%
\nTeam Research Poster and Video 10%
\nTeam Presentation 20%
\nIn-Class Exercise/Participation 20%
\nIndividual Homeworks 30%
\n","Order":8}],"ReadingFormatted":[],"ReadingUnformatted":[]}],"Lecturers":["Teo Chung Piaw"],"LecturePeriods":["Tuesday Evening"]}]}