ASA Connect

Title: UC Berkeley’s Data Science Course for Undergraduates: Computational and Inferential Thinking for the 21st Century
Presenters: Ani Adhikari, Department of Statistics, UC Berkeley, David Culler, Department of Electrical Engineering and Computer Sciences (EECS) , UC Berkeley, John DeNero, EECS, UC Berkeley
Date and Time: Thursday, February 16, 2017, 2:30 p.m. – 3:30 p.m. Eastern time
Sponsor: ASA-MAA Joint Committee, Association for Computer Machining, Section on Statistical Education, Section on Statistical Learning and Data Science

Registration Deadline: Tuesday, February 14, at 12:00 p.m. Eastern time

Description:
UC Berkeley's data science education program focuses on all undergraduates—not just those in computer science, statistics, or another STEM field. Building on the premise that data literacy is part of what it means to be an educated person in the 21st century, Berkeley faculty have developed a very popular data science course for freshmen, with no prerequisite background in mathematics, statistics, or programming. The course, which has been attracting national and international attention, is unusual also in that it has "connector" courses in numerous other disciplines, typically taken concurrently. This webinar will describe the course – how it works, whether it works, and if so why it works – and why the faculty who are teaching it can't imagine themselves ever teaching in the old way again.

Registration Fees:
This webinar is free to anyone who would like to attend. However, registration is limited so you must register to receive the access information. The access information will be emailed to everyone who has registered the afternoon of Tuesday, February 14.

Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).

Title: UC Berkeley’s Data Science Course for Undergraduates: Computational and Inferential Thinking for the 21st Century
Presenters: Ani Adhikari, Department of Statistics, UC Berkeley, David Culler, Department of Electrical Engineering and Computer Sciences (EECS) , UC Berkeley, John DeNero, EECS, UC Berkeley
Date and Time: Thursday, February 16, 2017, 2:30 p.m. – 3:30 p.m. Eastern time
Sponsor: ASA-MAA Joint Committee, Association for Computer Machining, Section on Statistical Education, Section on Statistical Learning and Data Science

Registration Deadline: Tuesday, February 14, at 12:00 p.m. Eastern time

Description:
UC Berkeley's data science education program focuses on all undergraduates—not just those in computer science, statistics, or another STEM field. Building on the premise that data literacy is part of what it means to be an educated person in the 21st century, Berkeley faculty have developed a very popular data science course for freshmen, with no prerequisite background in mathematics, statistics, or programming. The course, which has been attracting national and international attention, is unusual also in that it has "connector" courses in numerous other disciplines, typically taken concurrently. This webinar will describe the course – how it works, whether it works, and if so why it works – and why the faculty who are teaching it can't imagine themselves ever teaching in the old way again.

Registration Fees:
This webinar is free to anyone who would like to attend. However, registration is limited so you must register to receive the access information. The access information will be emailed to everyone who has registered the afternoon of Tuesday, February 14.

Each registration is allowed one web connection and one audio connection. Multiple persons are encouraged to view each registered connection (for example, by projecting the webinar in a conference room).