Singapore University of Social Sciences

Applied Regression Analysis II

Applications Open: 01 October 2019

Applications Close: 15 December 2019

Next Available Intake: January 2020

Schemes: Lifelong Learning Credit (L2C)

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Science & Technology


Synopsis

MTH358 will be a continuation to MTH357 and provide students with an understanding of more advanced regression models and techniques used in analytics and artificial intelligence. The course gives a comprehensive introduction to more advanced topics such as nonlinear regression, logistic regression and generalized linear models. Additionally, the course covers how the algorithms are implemented using the software R. MTH358 will be paired with MTH357 so that students upon the completion of both courses will have a better understanding of the contents in the field of regression analysis.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Model-Building
  • Variable Selection
  • Validation Techniques
  • Nonlinear Regression Models
  • Transformation to a Linear Model
  • Statistical Inference in Nonlinear Regression
  • Logistic Regression Models
  • Generalized Linear Models
  • Regression Analysis of Time Series Data
  • Robust Regression
  • Bootstrapping in Regression
  • Neural Networks

Learning Outcome

  • Apply nonlinear regression models and generalized linear models.
  • Interpret regression model parameters from data.
  • Implement regression dianostics to validate regression models.
  • Use resampling algorithms for estimation of the regression model predictive accuracy.
  • Analyze data with regression models.
  • Assess the fit of a regression model to data.
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