Teaching Responsibility

LJMU Schools involved in Delivery:

Computer Science and Mathematics

Learning Methods

Lecture

Practical

Tutorial

Module Offerings

4206COMP-JAN-CTY

Aims

To enhance students software development and problem solving skills To develop problem decomposition and analysis skills To implement the problem solution in a relevant programming language

Learning Outcomes

1.
Apply problem decomposition methodologies to analyse computer forensic problems.
2.
Identify solutions to simple computer forensics problems using a range of software development problem solving techniques.
3.
Apply programming/scripting techniques to computer forensics problems.
4.
Carry out structured evaluation and reflection of the developed solution.

Module Content

Outline Syllabus:Problem solving: flow diagrams, pseudocode, information representation, algorithms, encapsulation, abstraction, dividing big problems, combining small solutions, etc. Forensics case studies; searching for patterns in large data, searching for similarity, summarising information in a data set, organising information. Implementation and prototyping and testing and validation. Reflection.
Module Overview:
In this module you will apply your understanding in two assessments. First, you will apply design and problem analysis techniques to a relevant case study scenario involving computer forensics. Second, you will translate such a design into a software solution. This will enhance your software development and problem solving skills, and develop your problem decomposition and analysis skills.
Additional Information:Students will apply their understanding in two assessments. First, they will apply design and problem analysis techniques to a relevant case study scenario involving computer forensics. Second, they will translate such a design into a software solution.

Assessments

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