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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Analytics of Network Resilience (CMSE11423)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course provide students with fundamental theory of network operations.
Course description Academic Description
Networks design problem is a common concern among both practitioners and academics. It has various applications including passenger and freight transportation, telecommunications, utilities, supply chain etc. In traditional approaches to network design, it is often assumed that supply is always available and the amount of demand is known and fixed. In real life however, demand could vary significantly and supply might be disrupted for variety of reasons. This course aim at providing students with the background needed to understand and analyse network operations in normal and under e.g., stochastic demand, congestion and random disruptions. It will introduce strategic, tactical and operational decisions in network design and explores how these decisions are sensitive to possibility of disruption and demand variation. In this course, different approaches to network resilience and robustness will also be discussed.

Outline Content: This course consists of 5 lectures.
(Lecture 1) introduction to networks
(Lecture 2) network design and applications
(Lecture 3) network congestion and disruption
(Lecture 4) network reliability, robustness and resilience
(Lecture 5) solutions to network reliability

Student Learning Experience
Students are expected to learn basic concepts and theories from 5 two-hour lectures for 5 weeks. In five hours lab sessions, they will learn how to apply model and solve various network problems. Problem solving skills will be developed through completing their assignments.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understand network topologies and describe network operations
  2. Classify traditional and networks with uncertainty considerations
  3. Identify appropriate technique(s) to design a network
  4. Apply state-of-the-art tools and techniques to model and solve basic network models under uncertainty
  5. Communicate findings effectively and efficiently verbally and in writing.
Reading List
Additional Information
Graduate Attributes and Skills Research & Enquiry:
On completion of the course, students should be able to:
-Understand how hub systems and other types of networks could be formulated
-Understand some basic network models to apply them to various practical situations
-Identify underlying assumptions of the network models and critically evaluate their validity on applications

Personal & Intellectual Autonomy:
On completion of the course, students should be able to:
-think independently and exercise personal judgement while solving complex network problems
-analysing situations and applying creative and inventive thinking to develop an appropriate solution technique to the problem
-implement solution technique(s) and review decisions based on appropriate techniques

Communication skills
On completion of the course, students should be able to:
-explain implications of network models/analysis to general audiences
-develop appropriate documentation to communicate the result of a small project
-work as effective member of a group
KeywordsNot entered
Course organiserDr Nader Azizi
Tel: (0131 6)51 1491
Course secretaryMiss Lauren Millson
Tel: (0131 6)51 3013
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