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1 - 9 of 9 results for: MKTG

MKTG 240: Marketing Management

The objectives of this course are to introduce students to the substantive and procedural aspects of marketing management and to sharpen skills for critical analytical thinking and effective communication. Specifically, the goals are to introduce students to marketing strategy and to the elements of marketing analysis: customer analysis, competitor analysis, and company analysis; to familiarize students with the elements of the marketing mix (product strategy, pricing, advertising and promotion, and distribution), and to enhance problem solving and decision-making abilities in these operational areas of marketing; and to provide students with a forum (both written and verbal) for presenting and defending their own recommendations, and for critically examining and discussing the recommendations of others.
Terms: Win, Spr | Units: 3

MKTG 249: MSx: Marketing

Every business has two kinds of problems: 1) Not having customers and 2) everything else. Marketing addresses the first problem. With increased access to information and fast-changing technology the role of marketing has broadened significantly. To attract and retain profitable customers, managers must identify and measure consumers' needs and wants, assess the competitive environment, select the most appropriate customer targets, and then develop multi-faceted marketing programs that satisfy consumers'€™ needs better than the competition. The objective of this class is to provide you with perspectives on classical and modern day marketing, and to teach you how to take a high level strategic approach towards contemporary marketing challenges.
Terms: Win | Units: 3
Instructors: Khan, U. (PI)

MKTG 365: Marketing Analytics

Firms operate in an increasingly challenging business environment, with greater competition, more informed customers and rapidly changing market trends. Simultaneously, they also have access to more information about their customers, the marketplace and their competitors than ever before. In this environment, knowing how to use this information to make optimal business decisions is a crucial competitive advantage. Firms often have access to data that they do not know how to use. The objectives of this course are to introduce students to state-of-the-art marketing analytics and to teach them how to practically apply these analytics to real-world business decisions.nnThe following are examples of the types of questions that the course will address: How should a firm determine the prices for its products and services? What is the effect of television advertising on a brand's sales and how should advertising be optimized? What can a firm learn about its customers from online browsing behavior and how can this knowledge be used for targeted advertising and promotions? How should a firm allocate its sales force? How should a firm manage the allocation of its promotional budget in order to maximize its returns? How should the mailing of catalogs or direct mail be targeted to increase response rates?nnThe course will use a mix of lectures, cases, homework assignments and a course project to learn the material. Students do not need to have an advanced statistical background to take this course. Familiarity with the material in an introductory marketing course and an introductory statistics course will be assumed, but necessary material will be reviewed during the course of the quarter as necessary.
Terms: Win | Units: 4

MKTG 532: Persuasion

The aim of this course is to provide insight into the psychology of persuasion. We will explore research and theory in this domain and discuss and develop potentially powerful techniques for changing people's attitudes and behaviors. We will apply our insights broadly to examine the features that make for an effective persuasive appeal in a wide range of settings (e.g., an ad, a pitch to investors, etc.), and students will practice designing and implementing persuasive appeals.
Terms: Aut, Win, Spr | Units: 2
Instructors: Tormala, Z. (PI)

MKTG 645: Empirical Analysis of Dynamic Decision Contexts

This course will focus on empirical tools for analyzing dynamic decision contexts, wherein current actions of firms or consumers have effects on future payoffs, profits and/or competitive conduct. The course will build the relevant material generally, but our applications will be mostly focused on empirical marketing, operations and industrial organization problems. We will have an applied focus overall, emphasizing the practical aspects of implementation, especially programming. The overall aim of the class is to help students obtain the skills to implement these methods in their research. By the end of the class, students are expected to be able to formulate a dynamic decision problem, program it in a language such as Matlab or C, and to estimate the model from data. The course starts with an overview of consumer theory and static models of consumer choice. We build on this material and introduce discrete choice markovian decision problems, and continuous markovian decision problems, and focus on building the computational toolkit for the numerical analysis of these problems. We then move on to specific applications, and discuss multi-agent dynamic equilibrium models. Finally, we discuss recently proposed advanced methods for alleviating computational burden in dynamic models.
Terms: Win | Units: 3
Instructors: Nair, H. (PI)

MKTG 661: Attitudes and Persuasion

This course will provide an overview of recent research on attitudes and persuasion. Content will include broad coverage of the issues of major importance to attitude theory, but will focus on more recent issues and controversies that have captured the interest of researchers in the field. The class will cover research areas such as attitude change, persuasion, and resistance processes; implicit versus explicit attitudes; attitude certainty; cognitive versus affective influences; dissonance and attitudinal ambivalence; selective exposure and biased processing; metacognition; and others. Students who take this course will become familiar with research methods and major issues in attitudes research and will have a better understanding of how individuals form, maintain, and change their evaluations. Throughout the course, students will be encouraged to critique existing research and formulate new research ideas.
Terms: Win | Units: 3
Instructors: Tormala, Z. (PI)

MKTG 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MGTECON 691, OB 691, OIT 691, POLECON 691, STRAMGT 691)

This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

MKTG 692: PhD Dissertation Research (ACCT 692, FINANCE 692, GSBGEN 692, HRMGT 692, MGTECON 692, OB 692, OIT 692, POLECON 692, STRAMGT 692)

This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the research.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

MKTG 802: TGR Dissertation (ACCT 802, FINANCE 802, GSBGEN 802, HRMGT 802, MGTECON 802, OB 802, OIT 802, POLECON 802, STRAMGT 802)

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
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