This cluster is ideal for intended majors in Psychology, with a biological sciences emphasis.
Course Information
MCELLBI 32 001: Introduction to Human Physiology, 3 Units
- This course may satisfy a prerequisite for Psychology.
- This course meets Biological Science, L&S Breadth.
- Schedule: TR 12:30-2:00 PM; Discussion W 1:00-2:00 PM
PSYCH 1 001: General Psychology, 3 Units
- This course may satisfy a major prerequisite for Psychology, Media Studies, and Interdisciplinary Studies Field.
- This course meets Social & Behavioral Sciences, L&S Breadth.
- Schedule: MF 2:00-3:00 PM; Discussion T 10:00-11:00 AM
DATA C8 001: Foundations of Data Science, 4 Units
- This course may satisfy prerequisites for the following majors: Sociology, Psychology, Legal Studies, Media Studies, Social Welfare, Environmental Economics and Policy, Public Health, Global Studies.
- Schedule: MWF 10:00-11:00 AM; Discussion R 10:00 AM – 12:00 PM
Course Descriptions
- MCELLBI 32 001: Introduction to Human Physiology, 3 Units
A comprehensive introduction to human cell biology. The course will concentrate on basic mechanisms underlying human life processes, including cells and membranes; nerve and muscle function; cardiovascular, respiratory, renal, and gastrointestinal physiology; metabolism, endocrinology, and reproduction. - PSYCH 1 001: General Psychology, 3 Units
Introduction to the principal areas, problems, and concepts of psychology. This course is required for the major. - DATA C8 001: 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.