Module Details
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title COMPLEX INFORMATION NETWORKS
Code COMP324
Coordinator Dr M Zito
Computer Science
Michele@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2019-20 Level 6 FHEQ Second Semester 15

Learning Outcomes

(LO1) At the end of this module students should be able to explain the most common metrics and techniques of complex network analysis and classification.

(LO2) Explain the most recent applications of these techniques in the area of social and technological networks.

(LO3) Be able to identify the main issues, techniques, and tools needed for the development of applications in the area of social networks.

(S1) Learning Skills: Design appropriate social network solutions and interface or extend the designs of existing social network infrastructures.

(S2) Learning Skills: Identify and analyse complex network characteristics.

(S3) Learning Skills: Identify and interpret domain and societal requirements for the deployment of network solutions.

(S4) Learning Skills: Combine knowledge from other algorithmic course to solve specific network design and analysis problems.

(S5) Employability Skills: Evaluate existing software systems and infrastructures

(S6) Employability Skills: Present a technological solution within a broader context

(S7) Research Skills: Establish the potential of social networking technologies in specific contexts and domains.

(S8) Research Skills: Articulate appropriate frameworks for the analysis of particular social networks.

Syllabus
 

A selection of lecture topics from the following list:

Introduction to social networks and metrics (typically 3 to 6 lectures)

Small world networks and network distance (6 lectures)

Power laws and the structure of the web (6 lectures)

Internet and robustness (6 lectures)

Community detection (6 lectures)

Network search and Google PageRank (typically 3 to 6 lectures)

Facebook and Social Network Apps (typically 6 to 9 lectures)

Teaching and Learning Strategies

Teaching Method 1 - Lecture
Description:
Attendance Recorded: Yes

Teaching Method 2 - Tutorial
Description:
Attendance Recorded: Yes

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 30

   10

       40
Timetable (if known)              
Private Study 110
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Written Exam Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2  150 minutes.    80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Class test 2 Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2  1h 50m    10       
Class test 1 Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2  1h 50m    10       

CM Assessment

ASSESSMENT METHODS

Assessment

Form of Assessment

 

% Weighting

Size of Assessment/Duration/Word Count

Assessment Details

Learning Outcomes Being Assessed

1Written Exam80150 minutes.Written Exam Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2LO1, LO2, LO3, S7, S8
2Coursework101h 50mClass test 2 Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2LO1, LO2, LO3, S1, S2, S3, S4, S5, S6, S7, S8
3Coursework101h 50mClass test 1 Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 2LO1, LO2, LO3, S1, S2, S3, S4, S5, S6, S7, S8

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.