COGS9 Introduction to Data Science

Spring 2017 @ UCSD

Instructor: Jason Fleischer

Tu/Th 6:30-7:50PM
Center Hall 101


Office Hours:

Jason Fleischer

jfleischer@ucsd.edu

CSB 245

Tu/Th 4:30-5:30PM

Richard Gao

rigao@ucsd.edu

CSB 228

W 5-6:50PM

Nitin Kalra

nikalra@eng.ucsd.edu

CSB 114

Tu/Th 12:30-1:30PM

Emily Le

e9le@ucsd.edu

CSB 114

F 9:50-10:50AM, F 4-5PM


Lecture Notes: (due to space limits, I can only show the recent ones here... go to Piazza or TritonEd for a full set)

Class participation forms:

Readings:

Discussion site: 

Other resources:

In this class I will introduce you to the following topics:
  • What are data, information, and knowledge? How are they related? 
  • How data science can inform or misinform
  • Using Python for data science
  • A gentle introduction to analysis methods: Statistics, inference, & modeling
  • Applications of data science: Culturomics, social networks, text-mining, geospatial analysis
  • Beyond data: Human-based computation, automated science, machine learning
  • The art of data science: visualization and storytelling
  • The role of data science in science (and industry)
  • The ethics and implications of a data-driven society

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