NOC Applied Time Series Analysis

Intervention Analysis (basically before/after analysis of a time series to assess effect of a new policy, treatment, etc.) Longitudinal Analysis and Repeated Measures Models for comparing treatments when the response is a time series. Vector Autoregressive Models for Multivariate Time Series.

NOC:Introduction to Research

The main purpose of the INTRODUCTION is to give a description of the problem that will be addressed. In this section the researcher might discuss the nature of the research, the purpose of the research, the significance of the research problem, and the research question(s) to be addressed.

NOC:Introduction to Statistical Hypothes..

A Gentle Introduction to Statistical Hypothesis Testing. Data must be interpreted in order to add meaning.The interpretation of a statistical hypothesis test requires a correct understanding of p-values and critical values. Regardless of the significance level, the finding of hypothesis tests may still contain errors

NOC:Introduction to Time  Frequency Ana..

The course introduces the basic concepts of time-frequency analysis such as joint energy density, duration-bandwidth principle, analytic signals, etc. and wavelet transforms, specifically, the continuous and discrete versions. A short review of Fourier transforms will be presented at the start of the course.

System (Process) Identification

System / Process identification is an area that has tremendous impact in process modelling, control and process monitoring. The main objective of this course is to teach the fundamental aspects of system identification, i.e., estimating dynamic models from sampled (experimental/operating) data.

System Identification

he field of system identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models as well as model reduction