Data Science for Engineers

Short Course, June 7-9, 2017, Columbia University

More details here:  https://cvn.columbia.edu/content/data-science-engineers

Course Content and Structure

This short course introduces the participants to data science -- concepts, tools, and techniques -- and its applications in chemical, petrochemical, consumer care, pharmaceutical and allied engineering industries. This course, through a case study approach, will provide an overview of how to pose meaningful problems in such situations. In this course you will get the tools and skills necessary to move from data sets to real problem definitions and on to solutions; you'll also get the skills necessary to work with data analytics tools. Going beyond coding, you'll get knowledge of these tools and skills from the viewpoint of familiarization and appreciation.

Who Should Attend

The course is targeted at management and mid-career individuals who are generally called upon to either conceptualize or lead new data analytics initiatives within their organizations. Engineers starting out in their careers can also benefit from this course through a gentle introduction to what is considered to be a field with immense potential for career advancement.

Faculty:

Venkat Venkatasubramanian, Samuel Ruben-Peter G. Viele Professor of Engineering, Columbia University

Garud Iyengar, Professor and Chair, Department of Industrial Engineering and Operations Research, Columbia University

Raghu Rengaswamy, Professor Chemical Engineering, Indian Institute of Technology - Madras, India

Shankar Narasimhan, M. S. Ananth Institute Chair Professor, Department of Chemical Engineering, Indian Institute of Technology - Madras, India