HUV886: Difference between revisions

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HUV886
Special Module in Cognitive psychology
Credits	2
Structure	1-0-2
Pre-requisites	HUL or SML 700/800 category courses
Overlaps

HUV886 : Special Module in Cognitive psychology

The course will focus on current relevant and emerging issues, and experiments in the field of cognitive psychology. HUV887 Special Module on Econometric Tools 1 Credit (1-0-0) Estimation and inference in two variable model; OLS assumption; Extension of the two variable model; OLS assumption : autocorrelation, multicollinearity, and heteroskedasticity, models with limited dependent variables : LPM, logit, and probit; Panel data modelling: fixed effect and random effect models; Time series analysis: introduction to non-stationarity, AR and MA modelling. 237Department of Management Studies

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	== HUV886 : Special Module in Cognitive psychology ==		== HUV886 : Special Module in Cognitive psychology ==
	The course will focus on current relevant and emerging issues, and experiments in the field of cognitive psychology. HUV887 Special Module on Econometric Tools 1 Credit (1-0-0) Estimation and inference in two variable model; OLS assumption; Extension of the two variable model; OLS assumption : autocorrelation, multicollinearity, and heteroskedasticity, models with limited dependent variables : LPM, logit, and probit; Panel data modelling: fixed effect and random effect models; Time series analysis: introduction to non-stationarity, AR and MA modelling. 237Department of Management Studies		The course will focus on current relevant and emerging issues, and experiments in the field of cognitive psychology. [[HUV887]] Special Module on Econometric Tools 1 Credit (1-0-0) Estimation and inference in two variable model; OLS assumption; Extension of the two variable model; OLS assumption : autocorrelation, multicollinearity, and heteroskedasticity, models with limited dependent variables : LPM, logit, and probit; Panel data modelling: fixed effect and random effect models; Time series analysis: introduction to non-stationarity, AR and MA modelling. 237Department of Management Studies