Oct 04, 2023  
2020-2021 Undergraduate Academic Catalog 
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

UX 3045 - SEO and Analytics

3 lecture hours 0 lab hours 3 credits
Course Description
This class will cover components of algorithms across SEO and algorithm-driven design, including crawlability, keywords, tagging, geographical influence, external linking, and goals. The course will cover how algorithms impact content internally, as well as external findability. Students will begin with a brief history of search algorithms and how modern search algorithms differ, focusing on personalization, user needs, locale influence, and other internal and external factors that influence search results. Students will leverage concepts in algorithm-driven design (including changing UI paradigms, assets, content, personalization, graphic design, and other disciplines) in a research project focused on SEO or analytics. (prereq: UX 3011  and BA 2015 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Know the history and application of search algorithms in design and content retrieval 
  • Explain the components of algorithms across search engines
  • Demonstrate knowledge of algorithm-driven design
  • Understand and be able to recognize the internal and external impact of algorithms 
  • Apply concepts of algorithm-driven design in a research project 

Prerequisites by Topic
  • Basic research methods
  • Ability to create and leverage an analytics strategy

Course Topics
  • History of search algorithms 
  • Overview of common algorithms 
  • How algorithms influence SEO
  • Content and UX strategies to positively influence SEO
  • Introduction to algorithm-driven design 
  • How AI is changing the traditional responsibilities in UX
  • Analytics strategies for SEO and algorithm-driven design

Dr. Nadya Shalamova

Add to Portfolio (opens a new window)