Stats 5: Seminar in Data Science, Winter 2018

Time: Tuesdays, 11 to 11:50am
Location: MSTB 110
Instructor: Professor Padhraic Smyth

Description: This is a weekly seminar class intended as an introduction to the field of Data Science. The course is required for Data Science majors.

Format: Each week will consist of a lecture on a particular topic related to Data Science, with lectures from faculty experts in areas such as statistics, computer science, and application areas where data science is used. To pass this class you need to attend and submit weekly reports for at least 8 of the 9 lectures from weeks 2 to 10.

Grading: Pass/Fail

Online copies of lecture slides

Copies of weekly review forms (from week 2 onwards, to be submitted each week to EEE dropbox by noon on the day of class)

Class Schedule:
Date Speaker Department/Organization Topic
Jan 9 Padhraic Smyth Computer Science Introduction to Data Science
Jan 16 Padhraic Smyth Computer Science Classification Algorithms in Machine Learning
Jan 23 Michael Carey Computer Science Databases and Data Management
Jan 30 Sameer Singh Computer Science Statistical Natural Language Processing
Feb 6 Zhaoxia Yu Statistics An Introduction to Cluster Analysis
Feb 13 Erik Sudderth Computer Science Computer Vision and Machine Learning
Feb 20 John Brock Cylance, Inc Data Science and CyberSecurity
Feb 27 Video Lecture (Kate Crawford) Microsoft Research and NYU Bias in Machine Learning
Mar 6 Matt Harding Economics Data Science in Economics and Finance
Mar 13 Padhraic Smyth Computer Science Review: Past and 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.