School of Computing

WHERE COMPUTING, DESIGN, SCIENCE AND SOCIETY MEET...


AC52023 Application Case Studies and Research Methods Mini Guide

For the full module guide see AC52023 full guide

Organisation

The Module Co-Ordinator for this module is Professor Emanuele Trucco.

If you want to talk about an aspect of the module, or your work on it, please make an appointment to see one of the lecturer(s):

Dr Norman Almnalm@computing.dundee.ac.uk, 2.11 QMB

Dr Simon Wellsswells@computing.dundee.ac.uk, 2,06 QMB

Dr Jesse Hoeyjessehoey@computing.dundee.ac.uk, 1.22 QMB

Prof Ian W. Rickettsricketts@computing.dundee.ac.uk, 2.11 QMB

If you use email, please include "AC52023" in the heading.

Module Content and timetable

Week Topics Covered
One The scientific method as a way of thinking.
Two Evaluating results: statistics and what it can / can't do
Three Validating research: ethical considerations
Four Testing: applying statistics to experiments
Five Applications
Six Applications
Seven Ethical considerations in research, intellectual property rights
Eight Writing a Project Proposal
Nine Revision

Assessment and Course-Work

The final degree exam counts for 100% of the final module mark.

Resource List

Additional readings, some of the lecture notes, past exams and a diagram showing the structure of the module at a glance can be found on the AC Share 'auntie' drive in the "AC MSC ICS modules\AC52023 ..." directory.


Recommended Titles

  • The Unnatural Nature of Science, Wolpert, Lewis, Faber & Faber, 2000, .
  • The Structure of Scientific Revolutions, Kuhn, Thomas S, University of Chicago Press, 1962, .
  • Experimental Design and Statistics, Miller, Steve, Routledge, .
  • Empirical Methods for Artificial Intelligence, Cohen, Paul, MIT Press, .

Module Specification

For the formal module specification see AC52023 Case Studies & Res Methods v3.rtf