## Results for MKTG |
11 courses |

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
| Units: 3

Understanding persuasion is essential to having influence in virtually any environment; at work, in a sales pitch, in the marketplace, and even at home. Whether you want to get colleagues on board with your idea, clients or investors interested in your company, or even family members to change their health behaviors, having persuasion knowhow will make you more effective. The aim of this course is to provide insight into the psychology of persuasion. We will take an evidence-based approach to explore what persuades and why. The goal is to give you access to the science of persuasion, and to help you identify and design new persuasion strategies that leverage this science. By the end of the course, you will have a deep understanding of persuasion and a toolkit that will help you enhance your persuasive impact in a wide range of situations. This is a 3-unit version of MKTG 532.

Terms: Win
| Units: 3

Instructors: ; Tormala, Z. (PI); Davis, S. (GP)

How large is the market for a product, what is important for the target segment? How does change in the product design affect profitability? This course aims to help students ask such business questions and find data-driven answers to them. The main objectives are to equip students with: 1) an understanding of the value of data - what intelligence it can and cannot provide, 2) exposure to state-of-the-art quantitative tools including conjoint analysis, and unsupervised machine learning techniques such as cluster analysis to analyze the data, and 3) sufficient hands-on experience with these tools for answering students' own marketing research questions from the perspective of an entrepreneur, marketer or a consultant. The course is designed to address substantive marketing problems such as: market segmentation, targeting, forecasting demand, pricing, and developing new products. We will use a mix of lectures, exercises, cases and a project to learn the material.

Terms: Win
| Units: 3

Instructors: ; Sahni, N. (PI); Zweig, S. (GP)

Our focus is on the question, "When launching a product, what are the framing issues that will help determine success?" In particular, we will provide you with tools to analyze market situations and determine whether it makes sense to launch a product or engage in a marketing-related investment. The course is not designed to cover issues such as execution of a strategy (although we will touch on this a bit), but on whether to enter a market to begin with. Thus, the course is decision oriented; we want you to think about market entry decisions and how you would make them. The tools that you will be provided won't consist of equations; instead, we'll arm you with a set of questions to ask, whose answers will help you make better decisions.This course is an advanced applications marketing course. Unlike the base core course that is designed to cover every basic topic in marketing, here we focus on a number of basic questions and explore them in depth. Although we will have some lectures for background, the bulk of this endeavor will be accomplished through case discussions. In other words, we can't and won't cover everything, as this course is not designed to be comprehensive. We are going to rely on your academic background in marketing to cover the basics; here and there, it is possible that some material will be a review of what you've done before (there's nothing wrong with a little de ja vu). Unfortunately, due to the tight schedule we will not be able to cover any of the basics that are not already included in the course material.The course includes, cases, lectures, and guest lectures.

Terms: Win
| Units: 2

Contemporary approaches to marketing emphasize the importance of adopting a consumer focus, from determining consumers' wants and needs, understanding their motivation, to shaping their attitudes and ensuring their loyalty. This course provides insight into consumer psychology and the means by which consumer behavior can be influenced or altered. The course has both theoretical and practical objectives in that we will: (1) explore theory and research that is relevant to understanding consumer psychology, and (2) apply these theories and findings to generate novel ideas for effective marketing techniques. By shedding light on the psychological underpinnings of consumers' motivation, attitudes, preferences, and decision-making styles, this course will help students make more insightful and effective marketing decisions, as well as developing novel ideas for grabbing attention, shaping behavior, and changing people's minds.

Terms: Win
| Units: 2

Instructors: ; Huang, S. (PI); Sonora, P. (GP)

The goal of this course - geared toward graduate students in behavioral marketing, psychology, and related disciplines - is to explore the issues and questions that currently engage researchers in the domain of attitudes and persuasion. We will cover classic topics in this domain, but in each case we will emphasize new findings or recent directions. Students who take this course will become familiar with research methods and major issues in attitudes and persuasion research and will develop a new understanding of how individuals form, use, change, and maintain their attitudes. Throughout the course, students will be encouraged to critique existing research and formulate new research ideas.

Terms: Win
| Units: 3
| Repeatable
4 times
(up to 12 units total)

Instructors: ; Tormala, Z. (PI); Davis, S. (GP)

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

Instructors: ; Aaker, J. (PI); Ding, Y. (PI); Donkor, K. (PI); Goldberg, S. (PI); Hartmann, W. (PI); Huang, S. (PI); Kim, Y. (PI); Lattin, J. (PI); Levav, J. (PI); Nair, H. (PI); Narayanan, S. (PI); Sahni, N. (PI); Shiv, B. (PI); Tormala, Z. (PI); Tully, S. (PI); Wheeler, S. (PI); Alvarez, K. (GP); Davis, S. (GP); Molina, M. (GP); Sonora, P. (GP); Zweig, S. (GP)

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

Instructors: ; Aaker, J. (PI); Ding, Y. (PI); Donkor, K. (PI); Goldberg, S. (PI); Hartmann, W. (PI); Huang, S. (PI); Kim, Y. (PI); Lattin, J. (PI); Levav, J. (PI); Nair, H. (PI); Narayanan, S. (PI); Sahni, N. (PI); Shiv, B. (PI); Tormala, Z. (PI); Tully, S. (PI); Wheeler, S. (PI); Flores, K. (GP); Lion-Transler, C. (GP)

Doctoral Practicum in Teaching

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
25 times
(up to 50 units total)

Doctoral Practicum in Research

Terms: Aut, Win, Spr, Sum
| Units: 1
| Repeatable
25 times
(up to 50 units total)

Instructors: ; Aaker, J. (PI); Ding, Y. (PI); Donkor, K. (PI); Goldberg, S. (PI); Hartmann, W. (PI); Huang, S. (PI); Kim, Y. (PI); Lattin, J. (PI); Levav, J. (PI); Nair, H. (PI); Narayanan, S. (PI); Sahni, N. (PI); Shiv, B. (PI); Tormala, Z. (PI); Tully, S. (PI); Wheeler, S. (PI); Alvarez, K. (GP); Davis, S. (GP); Flores, K. (GP); Kankolongo Ngoba, N. (GP); Lion-Transler, C. (GP); Molina, M. (GP); Sonora, P. (GP); Zweig, S. (GP)

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

Instructors: ; Aaker, J. (PI); Ding, Y. (PI); Donkor, K. (PI); Goldberg, S. (PI); Hartmann, W. (PI); Huang, S. (PI); Kim, Y. (PI); Lattin, J. (PI); Levav, J. (PI); Narayanan, S. (PI); Sahni, N. (PI); Shiv, B. (PI); Tormala, Z. (PI); Tully, S. (PI); Wheeler, S. (PI); Davis, S. (GP); Molina, M. (GP); Zweig, S. (GP)