EE6605Complex Networks: Modeling, Dynamics and Control

What you will study

Course overview

The aim of this course is to provide students with a good understanding of basic concepts, techniques and principles of complex networks: their modelling, dynamics and control.

Official PDF, page 2 · Abstract

Course content

Network Structures and Properties Recent advances in scientific literature including the complexity of models; degree distributions; random graphs; small- world features; scale-free properties; basic network modeling Elementary Graph Theory Basic concepts; elementary properties; typical algorithms; graph applications Network Dynamics Network dynamical behaviors; stability and synchronization; network game; community structures; opinion dynamics; evolving networks Network Performances Internet topology; data traffic; epidemics spreading; cascade failures Network Synchronization and Control Network synchronization phenomena and criteria; network stabilization and pinning control; data traffic congestion control; network synchronizability and controllability Potential Engineering Applications Internet; power grids; transportation networks; social networks Research-Oriented Computer project A self-designed, self-performed and self-analyzed computer-programming project, using basic complex-network knowledge learned from the course

Official PDF, page 5 · Keyword Syllabus

Intended learning outcomes

View official learning outcomes and conditions

CILOs                                              Weighting (if DEC-A1          DEC-A2          DEC-A3
                                                                  app.)
1              Apply basic concepts to describe representative                     x            x               x
               network models
2              Analyze the effects of network structures on                         x            x               x
               dynamical behaviors
3              Estimate local and global network stability,                        x            x
               synchronizability and controllability
4              Develop small-scale efficient virus-spreading                         x            x
               control algorithms
5              Describe the control of data traffic flows and                         x            x
               network topological effect
6              Apply the learned techniques to solve some                                       x               x
               practical problems

Official PDF, page 2 · Course Intended Learning Outcomes (CILOs)

Before you take this course

Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.

Prerequisites

Nil

Official PDF, page 1 · Prerequisites

Precursors

MA3150 Advanced Mathematical Analysis or equivalent

Official PDF, page 1 · Precursors

Corequisites

This edition of the official syllabus does not state this item.

Additional course requirements

This edition of the official syllabus does not state this item.

Equivalent courses and conditions

Nil

Official PDF, page 1 · Equivalent Courses

Exclusive courses and conditions

Nil

Official PDF, page 1 · Exclusive Courses

Assessment and passing the course

Assessment

Continuous Assessment (%): 50; Examination (%): 50; Examination Duration (Hours): 2

View the original assessment table and instructions

ATs                CILO No.              Weighting (%)   Remarks ("-" for      Allow Use of
                                                                                  nil entry)            GenAI?
1                        Tests (min.: 2)    1, 2, 3, 4, 5, 6      40              One mid-term test     No
                                                                                  and one end-term
                                                                                  test
2                        #Assignments       1, 2, 3, 4, 5         10              8 to 10 sets of HWs   Yes
                         (min.: 3)

Official PDF, page 3 · Continuous Assessment (%),Examination (%),Examination Duration (Hours)

Passing requirements

Minimum Examination Passing Requirement (%): 30 Additional Information for ATs: Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. # may include homework, tutorial exercise, project/mini-project, presentation

Official PDF, page 3 · Minimum Examination Passing Requirement (%),Additional Information for ATs