This cluster is ideal for students eager to explore the intersection of data science and life. This interdisciplinary experience will provide you with a strong foundation for understanding the world around us—essential skills for a wide range of academic and career paths. You will fulfill prerequisites for majors such as Psychology, Sociology, Legal Studies, and Data Science, and meet the Social & Behavioral Sciences breadth requirement.
Course Descriptions
- SOCIOL 1: Introduction to Sociology, 4 Units. Introduces students who are considering majoring in sociology to the basic topics, concepts, and principles of the study of society. This course is required for the major; 1 or any version of 3 is prerequisite for other sociology classes; students not considering a sociology major are directed to any version of 3 or 3AC.
- SOCIOL 5: Evaluation of Evidence, 4 Units. A review of methodological problems in assessing data relating to social life. Topics to be covered include: posing a sociological problem, gaining access to data, measuring, establishing correlation and causal connection among data, and relating data to theoretical context.
- DATA C8: Foundations of Data Science, 4 Units. Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Meeting Schedule
- SOCIOL 1: MWF 11:00 AM-12:00 PM; Discussion TR 11:00 AM – 12:00 PM
- SOCIOL 5: TR 2:00-3:30 PM; Discussion TR 10:00-11:00 AM
- DATA C8: MWF 10:00-11:00 AM; Discussion R 4:00-6:00 PM
Major Prerequisites and L&S Breadth/Requirements
| Course | Major Prerequisite | L&S Breadth/Requirement | |
|---|---|---|---|
| SOCIOL 1 | Prerequisite for Sociology, Psychology, Legal Studies, Media Studies, Social Welfare, ISF | Social & Behavioral Sciences L&S Breadth | |
| SOCIOL 5 | Prerequisite for Sociology and Legal Studies | Social & Behavioral Sciences L&S Breadth | |
| DATA C8 | N/A | N/A | |
* = one of several classes that can satisfy requirement
+ = recommended, not required
^ = lower division requirement, not required for declaration
This cluster is ideal for students eager to explore the intersection of data science and life. This interdisciplinary experience will provide you with a strong foundation for understanding the world around us—essential skills for a wide range of academic and career paths. You will fulfill prerequisites for majors such as Psychology, Sociology, Legal Studies, and Data Science, and meet the Social & Behavioral Sciences breadth requirement.
Course Descriptions
- SOCIOL 1: Introduction to Sociology, 4 Units. Introduces students who are considering majoring in sociology to the basic topics, concepts, and principles of the study of society. This course is required for the major; 1 or any version of 3 is prerequisite for other sociology classes; students not considering a sociology major are directed to any version of 3 or 3AC.
- SOCIOL 5: Evaluation of Evidence, 4 Units. A review of methodological problems in assessing data relating to social life. Topics to be covered include: posing a sociological problem, gaining access to data, measuring, establishing correlation and causal connection among data, and relating data to theoretical context.
- DATA C8: Foundations of Data Science, 4 Units. Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Meeting Schedule
- SOCIOL 1: MWF 11:00 AM-12:00 PM; Discussion TR 11:00 AM – 12:00 PM
- SOCIOL 5: TR 2:00-3:30 PM; Discussion TR 10:00-11:00 AM
- DATA C8: MWF 10:00-11:00 AM; Discussion R 4:00-6:00 PM
Major Prerequisites and L&S Breadth/Requirements
| Course | Major Prerequisite | L&S Breadth/Requirement | |
|---|---|---|---|
| SOCIOL 1 | Prerequisite for Sociology, Psychology, Legal Studies, Media Studies, Social Welfare, ISF | Social & Behavioral Sciences L&S Breadth | |
| SOCIOL 5 | Prerequisite for Sociology and Legal Studies | Social & Behavioral Sciences L&S Breadth | |
| DATA C8 | N/A | N/A | |
* = one of several classes that can satisfy requirement
+ = recommended, not required
^ = lower division requirement, not required for declaration
