Programming/computation: Cogs18 or CSE 7 or CSE 8A or CSE 11 or consent of instructorĪll lectures will be delivered live through zoom (zoom link will be posted on the course calendar). Qin Li ( ) - TA/instructor for Tuesday discussion sectionsĪditya Mishra - TA/instructor for Thursday discussion sections Weiqi (Vicky) Zhao ( ) - Instructor - Office Hour: Wed 2-3pm The topics we will discuss include but are not limited to principles of statistical modeling, prediction, linear regression, classification, dimensionality reduction. We will go over the mathematical intuition behind some computational methods, which aims to help you understand the assumptions and the limitations of these methods. While mathematical skills can be useful in statistical modeling and data analysis, you do not need to have a strong math background to produce good data analytical projects.
#COGS 189 UCSD HOW TO#
And we will practice how to present and evaluate data analysis projects. We will discuss some fundamental computational tools that can be used for exploring, analyzing, and deriving insights from data. This course is designed to help you translate your experience making inferences and predictions on real-world events into completing a formal data analysis project. Lecture: MTuWeTh 12:30pm - 1:50pm (zoom link on Canvas)ĭiscussion: TuTh 2:00 - 2:50pm (zoom link on Canvas) Course Description Course Title - COGS 109 Modeling and Data Analysis
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