PG Cert, Dip & M.Sc. in Statistics and Data Science (Online)

Source: https://teaching.scss.tcd.ie/pg-cert-statistics/ Parent: https://teaching.scss.tcd.ie/module/stu22005-applied-probability-ii/

Pg Certificate Modules

Module CodeSTP80080Module Name Foundations of Data Science 1ECTS Weighting [1]5 ECTS Semester taughtSemester 2Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes On successful completion of this module, students will be…

Module Code ST8002 Module Name Implementing statistical methods in R ECTS Weighting[1] 5 ECTS Semester taught Semester 1 Module Coordinator/s   Prof. Mimi Zhang Module Learning Outcomes On successful completion…

Module Code ST8001 Module Name Introduction to statistical concepts and methods ECTS Weighting[1] 10 ECTS Semester taught Semester 1 Module Coordinator Prof. Mimi Zhang Module Learning Outcomes On successful completion…

Module Code ST8003 Module Name Linear Regression ECTS Weighting[1] 10 ECTS Semester taught Semester 2 Module Coordinator/s   Prof. Simon Wilson  Module Learning Outcomes On successful completion of this…

PG Diploma Modules

(Semester 2; 5 ECTS) This module will include the theory of multivariate distributions, including the multivariate Gaussian distribution.; methods for dimension reduction; classification methods and clustering techniques.

Module Code STP80140 Module Name Time Series ECTS Weighting[1] 5 ECTS Semester taught Semester 2 Module Coordinator/s   Dr Emma Howard Module Learning Outcomes On successful completion of this module,…

Module Code ST8004 Module Name Introduction to Experimental Design ECTS Weighting[1] 5 ECTS Semester taught Semester 1 Module Coordinator/s   Prof. James Ng  Module Learning Outcomes On successful completion…

Module Code STP80090 Module Name Foundations of Data Science 2 ECTS Weighting [1] 5 ECTS Semester taught Semester 1 Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes Module Content Specific…

(Semester 1; 5 ECTS) This module will cover the theory of linear regression and linear mixed models and their estimation methods, modelling repeated measures overtime; various random effect models, including single random effects, multiple random effects, and random coefficient models; and non-parametric modelling approaches, to include splines and bootstrapping.

(Semester 2; 5 ECTS) This module will cover simple linear regression and multiple regression, with underlying theory; regression model diagnostics and how to resolve problems; Generalised Linear Models (GLMs), to include an overview of GLMs, logistic regression, Poisson regression and ordinal regression.

PG MSc

Module Code STP80030 Module Name Dissertation ECTS Weighting [1] 30 ECTS Semester Taught Full Year Module Coordinator/s   Professor Simon Wilson (module coordinator) and the assigned supervisor Module Learning Outcomes…