What This Document Is
This is a detailed syllabus for Introduction to Computational Advertising (ISM 293) at the University of California, Santa Cruz, as offered in Spring 2009. It outlines the course structure, schedule, and key areas of focus for students exploring the rapidly evolving field of online advertising. This syllabus serves as a roadmap for the entire course, providing a comprehensive overview of the topics that will be investigated.
Why This Document Matters
This syllabus is essential for anyone considering enrolling in, or currently enrolled in, this computational advertising course. Prospective students can use it to gauge the course’s scope and determine if their interests and background align with the material. Current students will find it invaluable for planning their study schedule, understanding assignment expectations, and tracking important dates. It’s a foundational resource for navigating the complexities of this specialized subject.
Topics Covered
* Foundations of the Web and the Advertising Ecosystem
* Information Retrieval Techniques Applied to Advertising
* Core Machine Learning Algorithms for Ad Optimization
* Principles of Marketplace Design in Online Advertising
* Strategies for Sponsored Search Advertising
* Content Match Advertising and its Mechanics
* Utilizing Graphical Ads and Delivery Optimization
* Behavioral Targeting Methods and Data Usage
* Emerging Trends in Advertising Media
* Evaluation Metrics and Methodologies for Advertising Systems
What This Document Provides
* A week-by-week course schedule with tentative dates.
* Identification of the instructor(s) leading each module.
* An overview of the core concepts within each topic area.
* A glimpse into the potential for exploring optional, advanced subjects.
* A framework for understanding the interplay between technical skills and economic principles in computational advertising.
