COGS 108Data Science in Practice
Data science is multidisciplinary, covering computer science, statistics, cognitive science and psychology, data visualization, artificial intelligence and machine learning, among others. This course teaches critical skills needed to pursue a data science career using hands-on programming and experimental challenges.
Prerequisites
From the catalog: “CSE 11 or CSE 8A or COGS 18 or DSC 10 or MAE 8.”
Where it sits in degree plans
Suggested plans most often put it in Year 3 · Spring (5 programs).
Required in (4)
- Cognitive Science (B.A.)
- Cognitive Science with Specialization in Clinical Aspects of Cognition (B.S.)
- Cognitive Science with Specialization in Design and Interaction (B.S.)
- Cognitive Science with Specialization in Language and Culture (B.S.)
One of the options in (1)
- Artificial Intelligence
Courses that list COGS 108 as a prerequisite (10)
- COGS 118A Supervised Machine Learning Algorithms
- COGS 118B Introduction to Machine Learning
- COGS 118C Neural Signal Processing
- COGS 118D Computational Modeling and Analysis of Human Behavior
- COGS 120 Interaction Design
- COGS 128 Information Visualization
- COGS 182 Introduction to Reinforcement Learning
- COGS 186 Genetic Algorithms
- COGS 189 Brain Computer Interfaces
- CSE 170 Interaction Design