Modules

Core Module Information
Module title: Multi-Agent Systems
SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: SET10111
Module leader: Simon Wells
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science
Prerequisites

Requisites: AND Pre-requisite: Object oriented programming using a high-level language such as C# or Java AND Pre-requisite: [Module SET08119] Object Oriented Software Development
Description of module content:

In this module you will:- Develop an awareness of the use of multi-agent technologies- Develop an understanding of the concepts of multi-agent technologies including agent design, communication, service discovery, and ontologies.- Gain practical experience of implementing and evaluating multi-agent systems.
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Demonstrate an understanding of the use of multi-agent systems and associated concepts.

LO2: Compare and contrast the use of differing structures and techniques associated with multi-agent systems to achieve particular functionalities.

LO3: Evaluate the effectiveness of multi-agent technologies when applied to a specific problem.

LO4: Specify, implement and evaluate a multi-agent system in response to a particular problem.
Full Details of Teaching and Assessment
2024/5, Trimester 1, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Simon Wells
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Face To Face Lecture 20 An educational talk to an audience, especially one of students in a university
Face To Face Practical classes and workshops 20 In practical classes and workshops you will get the opportunity to practice the skills and theories introduced in the lecture, with the opportunity for formative feedback from the module team.
Online Guided independent study 160 In guided independent study you will take time each week to explore the covered topics beyond the introductory material of the lecture and practicals. You will expand your understanding through reading and activities, including but not limited to the provided textbook/reading list and suggested resources.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 40 1~2 Week 7 , WORDS= 16 hours Students will independently research an aspect of MAS and report their findings in the form of a written report.You will receive formative feedback on your plan as you develop it during labs preceding the hand-in. You will receive summative feedback after the hand-in. The formative and summative feedback should be useful in completing the other component of the project.
Practical Skills Assessment 60 3~4 Week 13 HOURS= 24 Students will develop a simple MAS for a specific problem domain. In order to develop your project, you will primarily work independently outside of scheduled class time, but making use of resources, direction, and support provided within class as needed.You will submit your project, containing your most up to date deliverables produced during your studies. The deliverables will be detailed in the assignment descriptor (and will include code, report, and demonstration).You will receive summative feedback after the hand-in.
Component 1 subtotal: 40
Component 2 subtotal: 60
Module subtotal: 100

Indicative References and Reading List - URL:
Multi-Agent Systems
 

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