To provide learners with a theoretical knowledge and the practical skills to automate cybersecurity tasks such as network traffic manipulation and Web application and network infrastructure fingerprinting.
Learning Outcomes
On successful completion of this module the learner will be able to:
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Learning Outcome Description
LO1
Applying programming concepts to automate cybersecurity tasks.
LO2
Utilise programming language and libraries for network traffic manipulation
LO3
Utilise programming language features and libraries for Web application and network infrastructure fingerprinting and reconnaissance
Dependencies
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
Indicative Content
Scripting Essentials
Environment processing, Argument processing, Piping, teeing, globbing, and process control, Interacting with daemon processes.
Interacting with running OS processes and tasks:
Sending input data to running processes, Capturing output from running processes
Analysis of output data:
Understanding scripting data structures, I/O: files, streams, and databases.
Applying DRY principles to scripting:
functions, modules, and packages, Log processing, fingerprinting and reconnaissance.
Module Content & Assessment
Assessment Breakdown
%
Project
100.00%
Assessments
Full Time
No Continuous Assessment
Project
Assessment Type
Project
% of Total Mark
30
Timing
Week 5
Learning Outcomes
1,2
Non-marked
No
Assessment Description Project on content up to week 5
Assessment Type
Project
% of Total Mark
30
Timing
Week 8
Learning Outcomes
1,2,3
Non-marked
No
Assessment Description Project on content up to week 8
Assessment Type
Project
% of Total Mark
40
Timing
Week 13
Learning Outcomes
1,2,3
Non-marked
No
Assessment Description Project on content up to week 12
No Practical
No End of Module Formal Examination
Reassessment Requirement
Coursework Only This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
SETU Carlow Campus reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time
Workload Type
Workload Category
Contact Type
Workload Description
Frequency
Average Weekly Learner Workload
Hours
Lecture
Contact
No Description
12 Weeks per Stage
2.00
24
Laboratories
Contact
No Description
12 Weeks per Stage
4.00
48
Independent Learning Time
Non Contact
No Description
15 Weeks per Stage
11.87
178
Total Weekly Contact Hours
6.00
Module Resources
Recommended Book Resources
Alex Martelli,Anna Ravenscroft,Steve Holden. Python in a Nutshell, [ISBN: 9781449392925].
Steven F. Lott. Modern Python Cookbook - Second Edition, [ISBN: 9781800207455].
This module does not have any article/paper resources