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2017/18 Undergraduate Module Catalogue

COMP3778 Decision Modelling

10 creditsClass Size: 50

Module manager: Dr Raymond Kwan
Email: r.s.kwan@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

This module is not approved as a discovery module

Objectives

On completion of this module, students should be able to ...
- understand the importance and relevance of decision models for decision making in a variety of IT contexts;
- demonstrate awareness of a range of optimisation tools and techniques;
- demonstrate awareness of specific search techniques;
- critically evaluate different decision models given a decision setting
- prepare problems for solution using optimisation tools;
- build an appropriate mathematical model of a decision problem,
- analyze the output of the model for specific problems and perform sensitivity analysis;

Syllabus

- Tools and techniques: for Operational Research; for Scheduling; for Network traffic;
- Formulation of Linear Programming models; Properties and assumptions of LP models; Graphical solutions; Minimization problems
- Search: Depth-first; breadth-first; heuristics; Tabu search; simulated annealing
- Decision Trees
- Sensitivity Analysis
- Case studies: scheduling; stock control

Teaching methods

Delivery typeNumberLength hoursStudent hours
Laboratory61.006.00
Class tests, exams and assessment12.002.00
Lecture221.0022.00
Private study hours70.00
Total Contact hours30.00
Total hours (100hr per 10 credits)100.00

Private study

- Taught session follow-up: 20 hours
- Self-directed study: 30 hours
- Assessment activities: 20 hours

Opportunities for Formative Feedback

Attendance and formative assessment

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
AssignmentPart 1: Problem Sheet, Part 2: Report20.00
Total percentage (Assessment Coursework)20.00

This module is re-assessed by exam only.


Exams
Exam typeExam duration% of formal assessment
Open Book exam2 hr 00 mins80.00
Total percentage (Assessment Exams)80.00

This module is re-assessed by exam only.

Reading list

The reading list is available from the Library website

Last updated: 11/08/2017

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