SOC301A
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SOC301A - Introduction to Computational Social Science
Course Description
Are you curious about understanding social life in the digital age? This course is designed for curious minds eager to explore the dynamic interplay among society, Big Data, and data science without any computer programming or math background. In this engaging class, we will explore the latest trends in the social sciences through the lens of computational approaches. You will uncover the tools and techniques used to analyze, model, and interpret social phenomena in today's interconnected world. We will delve into fundamental computational tools and conceptual approaches through a beginner-friendly approach, exploring how computational methods and data analysis empower us to unravel intricate societal patterns, trends, and behaviors. We will navigate diverse topics, like unraveling social networks, deciphering hidden patterns in text data, and uncovering insights using types of artificial intelligence. We take a hands-on and conceptual approach. So, this course aims to make the world of computational social science accessible and engaging for all, irrespective of your background, experience, or level of comfort with computer programming or math.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall
Typically Offered Distance Campus
Not Offered
Typically Offered Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered Sierra Vista Campus
Not Offered
Typically Offered Community Campus
Not Offered