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Due to recent announcements about Autumn Quarter (see the President's update), please expect ongoing changes to the class schedule.

1 - 8 of 8 results for: MKTG ; Currently searching autumn courses. You can expand your search to include all quarters

MKTG 532: Persuasion: Principles and Practice

The aim of this course is to provide insight into the psychology of persuasion. We will take an evidence-based approach and explore research and theory in this domain to identify 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 messages. In each session, I will share classic and cutting edge research on persuasion emanating from the fields of social and consumer psychology. These insights will be organized around a few basic principles. We will then work together to brainstorm and practice the application of the insights to real world persuasion settings.
Terms: Aut, Spr | Units: 2
Instructors: Tormala, Z. (PI)

MKTG 641: Behavioral Research in Marketing I

This course prepares the student to do empirical behavioral research. It will cover all aspects of the research process, from hypothesis generation to experimental design to data analysis to writing up your results and submitting them for publication.
Terms: Aut | Units: 3
Instructors: Wheeler, S. (PI)

MKTG 646: Bayesian Inference: Methods and Applications

The course aims to develop a thorough understanding of Bayesian inference, with a special focus on empirical applications in marketing. The course will start with a brief theoretical foundation to Bayesian inference and will subsequently focus on empirical methods. Initial topics would include Bayesian linear regression, multivariate regression, importance sampling and its applications. Subsequently, the course will focus on Markov Chain Monte Carlo (MCMC) methods including the Gibbs Sampler and the Metropolis-Hastings algorithm and their applications. The overall focus of the course will be on applying these methods for empirical research using a programming language such as R.
Terms: Aut | Units: 3

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 698: Doctoral Practicum in Teaching

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

MKTG 699: Doctoral Practicum in Research

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

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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