(IM532 3.0 Applied Time Series Forecasting, Stochastic Processes, and Statistical Quality Control/ MSc in Industrial Mathematics, Department of Mathematics, University of Sri Jayewardenepura)
Lecturer-in-charge: Dr Thiyanga Talagala
Location: Department of Mathematics, Faculty of Applied Sciences, University of Sri Jayewardenepura
Here’s your roadmap for the semester!
Week 1: Exploring and visualizing time series using R and Beginning to model time series
Week 2: Forecasting with (S)ARIMA models
COVID-19 outbreak: distance learning/teaching materials.
Week 3: Theoretical derivations of linear models
! Please go to Google Classroom for up-to-date information.
Week 4: ARIMA modelling using R
Week 5: Forecasting with Exponential smoothing models
Week 6: Dynamic regression models and Advanced forecasting methods
- Class materials (slides, in-class activities, etc.) will be added on the day of class.