MIS41160 Optimisation in Business

Academic Year 2022/2023

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:
1. Translate a verbal optimisation problem into a formal mathematical model and select a computational solution approach;
2. Choose an appropriate software tool to implement and solve the mathematical model;
3. Interpret the solution results in detail and discuss the limitations of the chosen solution approach;
4. 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

Small Group

1

Specified Learning Activities

48

Autonomous Student Learning

70

Total

155

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
Assignment: End of trimester individual assignment Coursework (End of Trimester) n/a Graded No

70

Continuous Assessment: Assignments/Mini-Projects/MCQ Varies over the Trimester n/a Graded No

30


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.

Autumn
     
Lecture Offering 1 Week(s) - 5 Fri 14:00 - 16:50
Lecture Offering 1 Week(s) - 8 Fri 14:00 - 16:50
Lecture Offering 1 Week(s) - 1, 2, 3, 4, 6, 7, 9, 10, 11, 12 Fri 16:00 - 16:50
Lecture Offering 1 Week(s) - 1, 2, 3, 4, 6, 7, 9, 10, 11, 12 Mon 09:00 - 10:50
Tutorial Offering 1 Week(s) - 1, 2, 4, 5, 6, 7, 8, 9, 10 Mon 11:30 - 12:20
Tutorial Offering 1 Week(s) - 3 Tues 10:00 - 10:50
Lecture Offering 2 Week(s) - 5 Fri 14:00 - 16:50
Lecture Offering 2 Week(s) - 8 Fri 14:00 - 16:50
Lecture Offering 2 Week(s) - 1, 2, 3, 4, 6, 7, 9, 10, 11, 12 Fri 16:00 - 16:50
Lecture Offering 2 Week(s) - 1, 2, 3, 4, 6, 7, 9, 10, 11, 12 Mon 09:00 - 10:50
Tutorial Offering 2 Week(s) - 1, 2, 4, 5, 6, 7, 8, 9, 10 Mon 12:30 - 13:20
Tutorial Offering 2 Week(s) - 3 Tues 11:00 - 11:50
Autumn
     

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