MIS41160 Optimisation in Business

Academic Year 2019/2020

Core.
A foundational module giving an overview and a complete taxonomy of the field of optimisation, and detail on some specific approaches, with some focus on classical optimisation.

Topics:
● Foundations of Operations Research
● Just-in-time maths (eg Calculus prerequisites)
● Numerical and gradient-based optimisation
● Combinatorial and convex optimisation with exact methods
● Heuristic search and optimisation (hill climbing, etc), also greedy approaches
● Software implementations

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Curricular information is subject to change

Learning Outcomes:

At the end of this module, students should be able to:
● Translate a verbal optimisation problem into a formal mathematical and computational description
● Choose an appropriate software tool for solving a formally-described problem and execute it
● Interpret in detail the results and limitations of the chosen approach
● Describe the similarities and differences between different optimisation approaches

Indicative Module Content:

1. Problem formulation - Mathematical Modelling;
2. Mathematical Functions and Operations;
3. Continuous Functions - what we measure;
4. Discrete Maths - what we count;
5. Optimisation Applications.

Student Effort Type Hours
Lectures

36

Specified Learning Activities

48

Autonomous Student Learning

70

Total

154

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.  
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Assignments/Mini-Projects/MCQ Varies over the Trimester n/a Graded No

30

Examination: End of Semester Exam 2 hour End of Trimester Exam No Graded No

70


Carry forward of passed components
No
 
Resit In Terminal Exam
Spring Yes - 2 Hour
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Individual grade and summary class feedback for MCQs; Grade per team and summary class feedback for team assignment.

Name Role
Dr Paula Carroll Tutor
Autumn
     
External & School Exams Offering 1 Week(s) - 8 Thurs 16:00 - 16:50
Lecture Offering 1 Week(s) - Autumn: All Weeks Wed 14:00 - 15:20
Lecture Offering 1 Week(s) - Autumn: All Weeks Wed 16:00 - 17:20
Autumn
     

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