ADV 594

Spring 2024 All Classes

All Classes

Advanced Topics in Advertising

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Credit: 4 hours.

This seminar explores topics associated with advertising theory and research. Topics will vary across different course offerings. They will include classic elements of advertising theory (e.g. persuasion, attitudes, cognition, emotion, motivation), as well as current research frontiers (e.g. decision-making, computational advertising, psychophysiology, gaming, social media).

4 graduate hours. No professional credit. May be repeated up to 12 hours, if topics vary. Prerequisite: Ph.D. student or instructor approval.

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ADV 594 class schedule data for spring 2024
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	63887	Lecture-Discussion	A	10:00AM -11:20AM	TR	135 English Building	Maslowska, E	Part of Term: 1 Date Range: 01/16/24-05/01/24 Section Title: Algorithms in ADV & Media Section Info: Algorithms in Advertising and Media: Algorithms play an increasingly important role in the creation and purchase of digital advertising and other media. Programmatic buying, profiling of consumers using traces of their web activity, behavior prediction, and personalization can make advertising more effective. At the same time, there is lack of transparency in how algorithms work and what their impact on consumers and advertising effectiveness is. This course will tackle questions related to the role of algorithms in today’s advertising and media. We will discuss issues like the role of algorithms in message development and delivery, ad effectiveness, consumers’ theories of algorithms, societal, ethical, and legal issues. We will read literature from advertising, psychology, communication, human-computer interaction, and marketing. Meets with MDIA 590 1 (59680). Restriction(s): Restricted to Graduate - Urbana-Champaign.