methods, i.e., the analysis of observed economic behavior in the form of data. Empirics stand in contrast to theory, e.g., micro and macro, about how agents behave. Despite this under-representation, empirical analysis comprises a large part of economists’ workload and is one of the most practical skills that an economics student can learn. Course Objectives In this class students will: 1. perform statistical and practical inference based on the results of empirical analysis, 2. identify useful
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tactical skills. During the term, we will consider such topics as: strategic planning, demand planning, process analysis, locating facilities, determining capacity, materials management, and technology, together with relevant analytical techniques. The course will involve class room discussions, use of case studies and problem solving. PRE-REOUISITE: MGT 511 Quantitative Business Analysis, Use of PC including Excel & software provided with the text book. TEXTBOOK: Jay Heizer and Barry Render
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Econ 511: Managerial Microeconomics Spring 2010 Syllabus Department of Economics Business School HKUST Yuk-fai Fong (房育辉) Time and Venue: Section 1: 9:00 a.m. – 12:20 p.m., Saturday, April 9 – June 4 (except April 23) Section 2: 2:30 p.m. – 5:50 p.m., Saturday, April 9 – June 4 (except April 23) Venue: Room Rm 4219 (Lift 19) Instructor: Yuk-fai Fong Email: y-fong@kellogg.northwestern.edu Phone: 2358-7600 Office Location: Room 3434 Email is always a great way to reach me. Office Hours: By appointment
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Name________________________________________ University of Oregon ACTG 360 Instructor: Kenneth Njoroge SPRING 2012 SAMPLE FINAL EXAM You have 2hrs to complete this final exam. You are allowed to use a single note sheet, no larger than 8.5 by 11 inches, during the exam. This sheet may be typed on both sides in any font size. Any other additional material is strictly prohibited. There are 13 pages in this quiz, including this cover sheet. The pages are photocopied on one side of the
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challenges as well as generate solutions to ‘international marketing’ dilemmas. COURSE LEARNING OUTCOMES Learning Methods: Case discussion; Role plays; Mini-debates; Mini-lectures Assessment methods: Class participation; Case presentation; Final exam CLO1. Understand the international marketing environment; Contemplate and analyze international marketing opportunities. CLO2. Gain an understanding of international marketing effort related to the market entry and marketing mix strategies CLO3. Identify
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management accounting techniques and concepts as taught in MAD I and MAD II. In addition, you will be expected to recall the basic principles of how to do analysis as taught in Year 2 and 3 of your degree course, but to a higher level this year. Knowledge should include the ability to both critically describe techniques and also apply numerical analysis to scenario based problems. EDUCATION AIMS The principle aim of this module is to critically review current management accounting theory and practice
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Differentiated & Culturally Relevant Instruction EDU 675 Change Leadership for Differentiated Education Environment Dr. Patricia Raney August 13, 2012 Differentiated & Culturally Relevant Instruction American classrooms are full of diverse learners. Some educational practices of the past no longer meet the needs of the ever-changing classroom demographic. As classroom demographics change, so must the perspective of educators charged with educating
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SUPPLY CHAIN MANAGEMENT DESIGNATION PROGRAM MODULE THREE Logistics and Transportation ©Supply Chain Management Association Supply Chain Management Professional Designation Program Copyright © 2013 by the Supply Chain Management Association No part of this material in this manual may be reproduced without the prior written consent of the Supply Chain Management Association. 777 Bay Street, Suite 2701, P.O. Box 112, Toronto, Ontario M5G 2C8 Tel: (416) 977-7111 Fax: (416) 977-8886
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|they can control the variables, produces | | |and control group. |2. Individuals are complex – it |Milgram? |quantitative data and is detached. However, it | | |• We can discover cause and effect |is hard to ‘match’ the members of the control | |can’t be representative
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support our analysis. Quantitative analysis includes the tools and techniques with which we seek to replicate reality mathematically and statistically. Statistical Techniques are applied in all the functions of business like Operations, Marketing, HR, Finance etc. The aim of this course is to learn when a technique is appropriate and what it can achieve. The emphasis throughout the course is on concepts and reasoning rather than technical details. You should acquire some basic data analysis skills
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