Process Data Analytics - GIAN course - MIT Campus, Anna University

Process Data Analytics - GIAN course -  MIT Campus, Anna University 

The Department of Instrumentation Engineering , Madras Institute of Technology Campus, Anna University, Chrompet, Chennai-600044 has Organized the GIAN course  " Process Data Analytics " on 05/12/2016 to 16/12/2016 .

Who can attend ? 

The course is suitable for graduate students in engineering and science, engineers working in industry and faculty members.

Course Content : 

Overview of Process data analytics.Data quality assessment.Use of the Fisher Information matrix as a metric for data quality;Data distributions and methods for visualizing process data.Big data versus good data: data quality,oullier detection and filtering.
Examining data in a multivariate framework (in the temporal as well as the spectral domains).
Discussion of basic time series analysis.Linear regression;classification and Tree-based methods; clustering.
More regressions methods:Multiple least squares, LASSO,Step-wise regression,Random forests and boosting
Principal components analysis (PCA) for process
monitoring and Partial Least Squares (PLS) for soft-sensor design.
Data-based causality analysis for identification of process topology. This would be useful for detection and diagnosis of plant-wide oscillations or disturbances.
Alarm data analytics: Methods for visualizing alarm data and how to minimize false and missed alarms; dealing with chattering alarms, alarm configuration and rationalization.
Simulated as well as industrial case studies will be presented to demonstrate the power and utility of new analytic methods.

Registration Fee Details : 

For Students (UG/PG/Research Scholar) : Rs.2,000/-
For Faculty Members : Rs.4,000/-
For Industry/Research Organization : Rs.8,000/-
The registration fee should be paid in the form of Demand Draft (DD) drawn in favour of “The Director, CTDT, Anna University” payable at Chennai .

The registration fee is towards participation in the course, the course material, computer use for tutorials and assignments, and laboratory equipment.

Only limited number of seats(50) are available.

Accommodation Details  : 

The participants will be provided with hostel accommodation, depending on availability, on payment basis.

For Registration & More Details Click Here