CEU Business School. BUSI 525R Management Science (2 credits) 2014 Fall Semester

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1 Syllabus as of 1 September 2014; FINAL version CEU Business School BUSI 525R Management Science (2 credits) 2014 Fall Semester Instructor: Joy Chan (See last page for bio sketch) : Selected days - please see schedule Classroom: to be confirmed Office: 315 Tel: Office hours: To be advised or by appointment. Academic Program Coordinator: Melinda Nagy Student Services Mgrs : Aniko Juhasz Zoi Hrisztodulakisz 1. PRE-REQUISITIES None 2. POLICY ON ADMITTING NON-MBA STUDENTS It is the general policy of the Business School to admit students from other units of CEU, provided that the prospective student meets the course perquisites stated above. 3. REQUIRED TEXT AND READINGS Mathematics for Management Online Course: Statistics section (from Harvard Business Publishing) & Quantitative Methods Online Course: Regression Section (from Harvard Business Publishing) - Each student is required to have his/her own individual access to the online course materials. The following textbooks are also available in the library: Newbold, P., Carlson, W., Thorne, B., Statistics for Business and Economics: Global Edition, 8/E, 2013, Pearson Higher Education, ISBN-10: ISBN-13: Berenson, M., Levine, D., Krehbiel, T., Stephan, D., Basic Business Statistics: Global edition, 2012, Pearson Higher Education, ISBN-10: ISBN-13:

2 4. COURSE DESCRIPTION AND OBJECTIVES This course will familiarize you with various methodological techniques used in various business settings that could help you solve problems, interpret results, make decisions, and gather relevant information in a systematic manner. 5. MAIN TOPICS Bar graphs and Histograms to summarize data Skewness and Measures of Central Tendency Measures of Variability, Rule of Thumb and Outliers Covariance and Correlation Regression and Multiple regression 6. INTENDED LEARNING OUTCOMES Core Learning Area Interpersonal Communication Skills Technology Skills Cultural Sensitivity and Diversity Quantitative Reasoning Critical Thinking Ethics and Social Responsibility Management Knowledge and Skills Learning Outcome Students will learn the terminology used in essential methodological tools in quantitative, and to some extent in qualitative methods. Students will demonstrate competence in effective writing and oral communication through papers, presentations, group discussions, and a comprehensive final project. Students will understand and use tools and software in order to aid their analysis and decision-making. They will learn about different situations and circumstances under which they can take advantage of IT. In particular, MS Excel will be used extensively throughout the course. Students will be introduced to different problems requiring a broad and diverse perspective on statistical methods, primarily when writing business reports. Discussions and articles will demonstrate the importance of sensitivity to the source, presentation as well as interpretation of data, and the necessary precautions. Students will learn how to use statistical tools in numerous situations in a variety of settings. These techniques range from basic descriptive methods, such as creating charts and tables, to advanced inferential ones, building a firm understanding in models, analysis and interpretation, as well as communicating results to external audiences. Students will learn to identify and carefully analyze problems, and select adequate and most appropriate decision tools in order to solve them. Students will demonstrate the ability to understand the importance of approaching all decisions as well as outcomes carefully, taking into account ethical considerations. They will learn throughout the course to recognize the misuse of statistical methods, data and biased interpretation. Students will be able to apply statistical techniques to problems originating from their own professional background. Furthermore, they will often be given a great deal of freedom and flexibility in identifying relevant issues to further explore in their assignments. 7. HOW THE CLASS SESSIONS WILL BE CONDUCTED The course is structured as a self-study e-learning course, supported with online consultations with instructor as well as progress meetings. The online course format allows you to work at your own time and learning pace so as to fully grasp the concepts and principles of management science. Any updates or announcements on the course will be made on Moodle. Please ensure that you check Moodle regularly or arrange for all announcements to be routed to your . 2

3 8. POLICY ON THE AVAILABILITY OF LECTURE NOTES Refer to the materials available on Harvard Business Publishing. 9. MINUTE PAPERS There are no minute papers in this course. 10. POLICIES ON CLASS ATTENDANCE AND PARTICIPATION The course will meet on 3 occasions, and regular attendance at each class session is a requirement of all degree programs at CEU Business School. 11. GRADING The assessment for the course comprises of the following 2 sections: 50% Harvard online course: Mathematics for Management (Statistics) online exam 50% Harvard online course: Quantitative Methods Online Course (Regression) online exam The grade obtained for the course is marked against the standards of the CEU and as such, is final and non-negotiable. No s/conversations on trying to better your score will be entertained after the exam. Students will be provided individual access to Harvard Business School (HBS) online course: Mathematics for Management (Statistics) and HBS Quantitative Methods Online course (regression), both are online, web-based, interactive introduction to important quantitative tools used in Business. Students should first register for access to HBS courses. Students are required to complete the online module at their own time and pace, and to take the HBS Mathematics for Management (Statistics) online exam by Thursday Midnight, 2 October 2014 on your own computer. (The pre-test is optional and has no bearing on your overall grade. Most students chose to take the pre-test to assess their current level of knowledge). The estimated seat time for this module is 3 hours. Students should have reviewed all the online material before taking the online exam. The second online exam for HBS Quantitative Methods Online Course (Regression) will be conducted in the Business School s IT labs on Thursday, 29 October Students are first required to complete the online module at their own time and pace before taking the second online exam. The estimated seat time for this module is 6 hours. 12. ACADEMIC INTEGRITY The Business School expects all students to adhere to the fundamental principles of academic integrity in any and all behaviors associated with their course work and otherwise, as stated in the CEU Honor Code (see Student Handbook). Attempted cheating of all forms is treated extremely seriously and can result in dismissal from the School and University. 13. INTERNET LIBRARY RESOURCES The CEU Library, at Nador St. 9, has the largest collection of English-language materials in the social sciences and humanities in Central Europe: 180,000 monographs and 30,000 volumes of periodicals, working papers, dissertations and so on. CEU faculty and students have access to 30,000 electronic journals, searchable via the Journal Search tool on the library catalogue page (http://goya.ceu.hu/; the icon is in the upper right corner. 3

4 CEU Business School core faculty, students and staff are automatically eligible for full membership in the Library, after registering at the Circulation Desk. (To use the Library, adjunct faculty should first obtain a pass at the B School Academic Office Rm 311.) The CEU Library has 5,000 business-related titles, supplemented by leading electronic databases, accessible through (Click on the icons and then click on the tag next to connect to.) The Ebsco Host Business Source Complete contains 3,700 periodicals in full text, many monographs, some case studies, and videos of the Harvard Faculty Seminar Series. Emerald Management Journals collection has a portfolio of 175 journals in management, marketing, econ and finance. New business databases include OneSource, the most comprehensive company & executive information. Global Market Information Database has comprehensive data and reports across industries, countries and type of consumers. Thomson One Banker provides data on internationally quoted companies, international stock exchange indices, private equity, and financial deals. Science Direct is an extensive full-text database covering authoritative titles from the core scientific literature. The Company Dossier in Lexis Nexis Academic allows users to browse in-depth company profiles and industry reports. Core statistical databases include IFS, GFS Online, OECD Main Economic Indicators, National Accounts Statistics, and Tax Statistics. Econlit at the CSA/Proquest platform provides bibliographic coverage of a wide range of economics-related literature. Business dailies and weeklies can be accessed through the library. Business Eastern Europe by EIU is a weekly briefing on operating a business in Eastern Europe. Country Reports also by EIU provide indepth economic, political and business analysis and short-term market outlooks. Electronic versions of The WSJ are in PressDisplay. The Economist is included by EbscoHost. For The Fin. Times online, see Journal Search. News on economic and social developments in the Caucasus and Central Asia can be downloaded directly (not via the CEU Library): Help with Case Studies and Research Projects Available on CEU Library reserve is a reference work that students preparing case-study assignments or undertaking individual or team research projects should find helpful, Business Case Studies: Preparation, Teaching and Learning (compiled, with contributions, by Susan Harmeling, Lead Case Writer, Harvard Business School, and Paul Marer, Professor, CEU Business School). This work, whose reference code is CM-GSB, can be found on the shelf marked Business School Readers, right behind the Circulation Desk, at the CEU Library on Nador utca. The VPN access makes it easy to reach from outside of the CEU network the full version of UIS and all CEU Library databases and journals. (Visit https://vpn.ceu.hu, accept the security-certificate, and enter: User name: ceubs Password: Ceubusi987. The password is case sensitive, and to enter it, only the virtual keyboard appearing on the screen can be used. Once logged in, the "built in" browser can be used to access the respective sites: UIS: https://infosys.ceu.hu. 14. COURSE SCHEDULE AND IMPORTANT DATES Date 19 Sept pm 2 Oct Midnight 3 Oct pm 29 Oct 9-12noon Ongoing Topics Introduction to Management Science Course and Study Tools First deadline: Mathematics for Management: Statistics section Completion of online exam (self completion on own computer) Discussions on progress. Consultations Second deadline: Quantitative Methods: Regression Final exam held in IT Labs see schedule for your final exam time Online consultations available. Please drop an to instructor Note: The course outline is subject to changes either before or during class at the discretion of the instructor. 4

5 15. BRIEF BIO OF THE INSTRUCTOR Joy Chan delivers various EMBA Finance core courses and electives (Company Valuation, Advanced Corporate Finance, Project Analysis, Mergers and Acquisitions, Personal Finance) at the CEU Business School where she serves as an adjunct faculty member since Joy is currently a visiting Finance professor in many European and American universities and has been invited by corporations and banks to deliver executive education training programs. Joy bridges academic studies with relevant and insightful illustrations gleaned from her industry experiences in senior governmental positions in the Inland Revenue Singapore, International Enterprise Singapore and Ministry of Trade & Industry, Singapore and more recently, Regional Controller in KPMG Central & Eastern Europe. Joy has continuously been rated excellent in teaching methodology by students and peers, including independent assessors for ISO 9000 teaching quality certifications. 5

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