Applied Regression Analysis II

Singapore University of Social Sciences

Applied Regression Analysis II (MTH358)

Applications Open: 01 May 2024

Applications Close: 15 June 2024

Next Available Intake: July 2024

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: $1391.78 View More Details on Fees

Area of Interest: Science and Technology

Schemes: Alumni Continuing Education (ACE)

Funding: To be confirmed

School/Department: School of Science and Technology

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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 JULY

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.