Short Title:Advanced Statistics
Full Title:Advanced Statistics
Module Code:STAT H4004
 
Credits: 5
Field of Study:Pharmacy
Module Delivered in 1 programme(s)
Reviewed By:JOHN BEHAN
Module Author:JAMES REILLY
Module Description:To provide the student with statistical tools for the exploration, validation and improvement of pharmaceutical processes and products.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Design experiments with one or more factors.
LO2 Interpret ANOVA tables and interaction plots.
LO3 Design and analyse multi-factor experiments.
LO4 Apply the general linear model.
LO5 Analyse statistical data from stability studies.
LO6 Validate a measurement system using Gage R&R.
 

Module Content & Assessment

Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Students will identify, create, execute, analyse and present a number of experimental designs, and deliver written reports and oral presentations of their work. 1,2 30.00 Ongoing
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2,3,4,5,6 70.00 End-of-Semester

TU Dublin – Tallaght Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Lectures, demonstrations, exercises, tutorials, software demonstrations, project support and feedback. 3.00 Every Week 3.00
Lab Computer laboratory with a statistical software package. 1.00 Every Week 1.00
Independent Learning Project preparation, report writing, study, revision. 4.00 Every Week 4.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
This module has no Part Time workload.
 

Module Resources

Required Book Resources
  • James Reilly 2018, Applied Statistics, www.statisticalsolutions.ie
Recommended Book Resources
  • Kenneth Koehler 2016, Snedecor and Cochran's Statistical Methods, 9th Ed., Blackwell Pub [ISBN: 0813808642]
  • Richard E. DeVor, Tsong-how Chang, John W. Sutherland 2017, Design of Experiments, Pearson
  • Lloyd Fisher, Gerald van Belle 2004, Biostatistics, 2nd Ed., J. Wiley New York [ISBN: 0471584657]
  • Philip Rowe 2015, Essential Statistics for the Pharmaceutical Sciences [ISBN: 9781118913390]
  • Brian K. Nunnally, John S. McConnell 2007, Six Sigma in the Pharmaceutical Industry, CRC [ISBN: 9781420054392]
This module does not have any article/paper resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
TA_SPHAR_B Bachelor of Science (Honours) in Pharmaceutical Science 8 Mandatory