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Module Descriptor School of Computer Science and Statistics

Module CodeST3008
Module Short Title
Semester TaughtSemester 1 & 2
Contact HoursLectures, role playing interviews, presentations
Module PersonnelLecturer - Assistant Prof. Aideen KeaneyLecturer - Associate Prof. Frank BannisterLecturer – Assistant Prof. Diana Wilson
Learning Outcomes

When students have successfully completed this module they should:  

  • know how to work in a team;
  • be able to participate effectively in a team interview;
  • be able to deal with difficult and messy problems;
  • specifically, know how to analyse a complex situation with several problems and to apply analytical tools to solve those problems;
  • be able to make presentations to senior executives;
  • be able to write and present a high quality business report;
Learning Aims

To develop students’ interpersonal, teamworking and analytical skills

Module Content

Specific topics addressed in this module include:  

  • This is a problem based learning module.  It requires students to apply what they have learned in other modules in MSISS in a simulated real life problem.  
  • Specific topics addressed include team working, interviewing, problem solving, conflict resolution, reporting writing and self organising skills.
Recommended Reading List
Module PrerequisitesIntroduction to Management Science. Management Science Methods.Statistical Analysis.
Assessment Details

Marking is by continual assessment only as follows:

  • Executive interviews (four): 40% (60% individual performance, 40% team performance)               
  • Individual presentation: 15%Team report: 45%. Individual marks may be adjusted following peer assessment.

To pass the module, students must achieve an overall mark of 40% 

Module Website
Academic Year of Data2016/17