Time: Tuesdays, 11 to 11:50am
Location: DBH 1300
Instructor: Professor Padhraic Smyth
This is a weekly seminar class intended as an introduction to the field of Data Science.
The course is required for Data Science majors and is also open to other students interested in
learning about the field and the major.
Each week will consist of a guest lecture followed by discussion
on a particular topic related to Data Science,
with lectures from faculty experts in areas such as statistics, computer science,
climate science, physics, social science, and more. To pass this class you need to attend
and submit weekly reports for at least 7 of the 8 guest lectures.
Copies of weekly report templates (to be submitted each week to EEE dropbox by noon on the day of class)
|Jan 10||Padhraic Smyth||Computer Science||Introduction to Data Science|
|Jan 17||Sameer Singh||Computer Science||Machine Learning for Text (link to slides)|
|Jan 24||Charless Fowlkes||Computer Science||Computer Vision using Machine Learning|
|Jan 31||Pierre Baldi||Computer Science||Deep Learning and Neural Networks|
|Feb 7||Hernando Ombao||Statistics||Brain Signal Analysis: Statistics, Computing and Visualization|
|Feb 14||Zhoaxia Yu||Statistics||Cluster Analysis of Multivariate Data|
|Feb 21||Ramesh Jain||Computer Science||Event and Web Data|
|Feb 28||James Randerson||Earth Systems Science||Data-Driven Climate Science|
|Mar 7||Mark Steyvers||Cognitive Science||Data and Models in Cognitive Science|
|Mar 14||Padhraic Smyth||Computer Science||The Future of Data Science|
Academic Integrity: It is the responsibility of each student to be familiar with UCI's Academic Integrity Policies and UCI's definitions and examples of academic misconduct. Failure to adhere to these policies below can result in a student receiving a failing grade in the class.