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derivatives; cash flow, fair value, and foreign currency hedges; outstanding debt, equity, deferred <br />taxes (reconciliation of taxes paid with tax expense), securitization stock -based compensation, <br />earnings per share (basic and diluted) will be studied. <br />MB560 arketm '-Man dit <br />Cre <br />,M g g.�m.. <br />This course studies marketing management by analyzing real -world cases. Students will learn to <br />implement and execute the marketing process through situation assessment, strategy formulation, <br />marketing planning, marketing implementation and evaluation. Students will have a chance to <br />explore the cutting -edge marketing management that reflects the latest in marketing theory and <br />practice. <br />M_ 13502 igital Marketing (3rcredit" <br />This course studies digital marketing. This includes keyword research, SEO, digital advertising <br />with Google Ad words, social media marketing with Facebook (plus Instagram, LinkedIn, <br />Twitter), email marketing, content marketing, and web analytics with Google Analytics. Students <br />will also learn how to do global digital marketing in multiple languages for multiple countries. <br />After the study of the course, students will be able to do digital marketing for a large company or <br />a startup company using SEO, Google Ad words, Facebook, Instagram, Twitter, and Google <br />Analytics for any product. <br />�VIB572 rSrga�zati"onalIiaviorl04redi4 <br />This course explores the complex dimension of organizational behavior including examination of <br />experiential and conceptual approaches to communication, self-awareness, perception, <br />motivation, problem solving and culture. Students apply interpersonal and intrrpersonal <br />exploration to the management of change, leadership theories and organizational issues. Real <br />case projects are required. <br />1VIB5SO u�smess Ait'alyt�cs g0:1Strafe <br />This course introduces to you the latest analytical concepts, tools and methods in data mining, <br />statistics and machine learning used to solve critical business problems in an organization. In this <br />course, you will learn to identify, evaluate, and capture business analytic opportunities that create <br />value. You will also learn how to transform data into deep business insights and actionable <br />business strategy. This is a very practical course that focuses on real business cases and <br />examples, based on the actual working experience of the instructor as a marketing data science <br />director. <br />At the end of the course, you will gain a holistic view of common analytical problems in the key <br />functional areas of an organization, including but not limited to product, operations, finance, <br />sales and marketing management. You will know how to solve these business problems using the <br />most effective tools and methods in data science. This course will position you as an analytical <br />Page 45 of 65 <br />