Advertising Analytics and Real-Time Technology

Harvard Extension School

CSCI E-112

Section 1

CRN 26778

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This course provides a detailed overview of today's digital advertising technology industry. Students learn the ecosystem, common goals, success metrics, and key national and local competitors that define the industry. Key terms, such as real-time bidding and walled gardens, are introduced. Topics include the use of data science, machine learning, and artificial intelligence as advertising technology optimization tools, and the challenges that recent legislation protecting consumer data present to advertising technology firms. Students may not take both CSCI E-112 and ISMT E-111 (offered previously) for degree or certificate credit.

Instructor Info

Justin E. Fortier, MBA

Customer Facing Data Scientist, Sales, Sway AI


Meeting Info

T 6:00pm - 8:00pm (1/27 - 5/17)

Participation Option: Online Synchronous

Deadlines

Last day to register: January 23, 2025

Prerequisites

Students need laptops loaded with Jupyter notebooks and Python 3.

Notes

This course meets via web conference. Students must attend and participate at the scheduled meeting time.

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
26778 1 Online Synchronous Justin Fortier Open T 6:00pm - 8:00pm
Jan 27 to May 17