MMS 172.01 MARKETING ACROSS BORDERS COURSE SYLLABUS – Spring 2012 Visiting Associate Professor: George L. Grody 408-6212 & 257-7818 (mobile) ggrody@nc.rr.com or george.grody@duke.edu Course Description: The course will investigate and discuss the theory and techniques used to market to the world’s different shoppers and consumers in both developing and industrialized economies and countries. You’ll gain an understanding of how to market to shoppers and consumers based on the varied insights
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GEN 480 Interdisciplinary Capstone Course Program Council The Academic Program Councils for each college oversee the design and development of all University of Phoenix curricula. Council members include full-time and practitioner faculty members who have extensive experience in this discipline. Teams of full-time and practitioner faculty content experts are assembled under the direction of these Councils to create specific courses within the academic program. Copyright Copyright ã 2000
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information to be presented to your senior management team (SMT) to enable them make the right decisions as to whether to expand in these two countries. You are required to create a plan for the collection of primary and secondary data for the expansion project. Researchers need to consider the sources on which to base and confirm their research and findings. They have a choice between primary data and secondary sources and the use of both, which is termed triangulation, or dual methodology. The secondary
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FERSOFT ONLINE BUS TICKET RESERVATION SYSTEM (OBTRS) SRS Document Revision #: v1.0 Date of Issue: 15 January 2008 Project Manager: Seçil AYDIN Software Requirements Specification OBTRS Approval Signatures Approved by: Business Project Leader Approved by: IM/IT Project Leader Prepared by: Business Project Manager Prepared by: IM/IT Project Manager Reviewed by: Quality Assurance Manager v1.0 16/01/2008 Page i Software Requirements Specification OBTRS
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|[pic] |Course Syllabus | | |College of Natural Sciences | | |SCI/163 Version 4 | |
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Tuskegee University Brimmer College of Business Administration and Information Science Fall 2015 BUSN 0408 Course Syllabus ------------------------------------------------- ------------------------------------------------- Course: BUSN 0408 – Marketing Research ------------------------------------------------- ------------------------------------------------- Instructor: Dr. Jack Crumbly ------------------------------------------------- Office hours: MW 11:00AM - 1:00PM
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Spring 2014—MW 8:00–9:20 am Location: Sachar 116 (International Hall) Prof. Bharatendra Rai 313-282-8309 (mobile) brai@brandeis.edu Office: Sachar 1C Hours: MW, 9:30 – 10:15 and by appointment TA: TBD This is a two credit module that examines the opportunities and industry disruption in an era of massive, high velocity, unstructured data and new developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures
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research proposal for a course project. That is, it’s intended for fairly brief proposals, not a prospectus for a masters or doctoral thesis. It gives students an example of the sort of thing I want, plus some commentary (in italics) about what I’m expecting in each section. I sometimes change the particular example given, in order to encourage them to think about particular kinds of projects. For instance, the example provided here was used in a Leadership Communication course. I’ve used the same
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Industrial Placement Report Cover Page 27 Appendix 5– Essay Clearance Form 28 Appendix 6 – Student Feedback Form 29 Assessment and Grading Appendix 7 – Industrial Placement Essay Assessment 31 Appendix 8 – Industrial Placement Visit Report Form 34 Appendix 9 – Industrial Placement Assessment Forms 36 Introduction 1. Industrial Experience Rationale The aim of the Industrial Experience
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Spring 2014—MW 8:00–9:20 am Location: Sachar 116 (International Hall) Prof. Bharatendra Rai 313-282-8309 (mobile) brai@brandeis.edu Office: Sachar 1C Hours: MW, 9:30 – 10:15 and by appointment TA: TBD This is a two credit module that examines the opportunities and industry disruption in an era of massive, high velocity, unstructured data and new developments in data analytic. We treat some strategic, ethical, and technical dimensions of big data. The technical foci of the course include data structures
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