Analytical Techniques
By Professor Jonathan Eckstein
About the Professor:
Professor Jonathan Eckstein is a Professor in the department of Management Science and Information Systems at Rutgers University. His principle research interests are in numerical optimization algorithms, both continuous and discrete, and especially their implementation on parallel computing platforms. Areas of particular focus include augmented Lagrangian/proximal methods, branch-and-bound algorithms, and stochastic programming. More about Professor Eckstein…
About the subject:
Analytical Techniques is designed to familiarize one with fundamental quantitative tools for business decision- making and planning, and to help one think quantitatively about decision and planning problems. Topics include constructing a mathematical model of the planning or decision problem, and analyzing this model with the aid of computer tools to obtain a suggested course of action.
July 31, 2019, 7:00 p.m.
Discover the basic mathematics behind common machine learning techniques, and their capabilities and limitations with Professor Eckstein.
July 30, 2019, 7:00 p.m.
Analytical techniques are fundamental quantitative tools for business decision- making and planning. Join us at Rutgers Open House to find out more.
Price
Admission is free. No. of seats is limited. Reservation on a first-come-first-served basis.
