BTEC Level 5 Higher National Diploma in Computing
Security
Summary
The HND in Computing (Network Engineering) is a work-related qualification for those taking their first steps into employment, or for those already in employment and seeking career development opportunities. The School of Computing has established close links with both local business and the local community. Wherever practicable, assessment on the program reinforces these links.
The course provides a blend of a year-long units. The units are sequenced to provide you with a coherent learning experience. The HND program has a total value of 240 credits and is equivalent to approximately 2,400 hours total learning time. Throughout the program emphasis will be placed upon reflection, analysis, environmental impact, critical thinking and personal development.
Assessment
The teaching strategy is designed to supplement your existing knowledge and to encourage your acquisition of new subject knowledge while supporting you in the move towards a greater degree of independence and self-direction.
Assessments may include elements of: practical assessments; portfolios of evidence; ‘in-class’ tests; lab work; case studies; examinations, both open and closed book; reflective activities where you look back over your experiences, analyse them with the assistance of relevant theory and reflective tools, and learn from the experience; online discussions that you have had with your peers, tutors and invited contributors to the program; oral and written reports; journals, blogs and log books; plans (e.g. action plans, plans for your group activities); presentations; time-constrained tasks.
Qualification Requirements
Minimum of three IGCSE at Grade D/4-5 or above and including Mathematics and English. English Proficiency Test. If you do not meet the criteria for Mathematics and English you will be invited for an interview where you will be required to sit a numeracy and literacy skills assessment.
Fees
Tuition Fees AED 48,000
Registration Fee AED 2,000
UNIT CONTENT
UNIT 1: Programming
Learning Outcome 1
Define basic algorithms to carry out an operation and outline the process of
programming an application.
Learning Outcome 2
Explain the characteristics of procedural, object-orientated and event-driven
programming, conduct an analysis of a suitable Integrated Development Environment (IDE).
Learning Outcome 3
Implement basic algorithms in code using an IDE.
Learning Outcome 4
Determine the debugging process and explain the importance of a coding
standard.
UNIT 2: Networking
Learning Outcome 1
Examine networking principles and their protocols.
Learning Outcome 2
Explain networking devices and operations.
Learning Outcome 3
Design efficient networked systems.
Learning Outcome 4
Implement and diagnose networked systems.
UNIT 3: Professional Practice
Learning Outcome 1
Demonstrate a range of interpersonal and transferable communication skills
to a target audience.
Learning Outcome 2
Apply critical reasoning and thinking to a range of problem-solving
scenarios.
Learning Outcome 3
Discuss the importance and dynamics of working within a team and the
impact of team working in different environments.
Learning Outcome 4
Examine the need for Continuing Professional Development (CPD) and its
role within the workplace and for higher level learning.
UNIT 4: Database Design and Development
Learning Outcome 1
Use an appropriate design tool to design a relational database system for a
substantial problem.
Learning Outcome 2
Develop a fully functional relational database system, based on an existing
system design.
Learning Outcome 3
Test the system against user and system requirements.
Learning Outcome 4
Produce technical and user documentation.
UNIT 5: Security
Learning Outcome 1
Assess risks to IT security.
Learning Outcome 2
Describe IT security solutions.
Learning Outcome 3
Review mechanisms to control organisational IT security.
Learning Outcome 4
Manage organisational security.
UNIT 6: Managing a Successful Computing Project
Learning Outcome 1
Establish project aims, objectives and time frames based on the chosen
theme.
Learning Outcome 2
Conduct small-scale research, information gathering and data collection to
generate knowledge to support the project.
Learning Outcome 3
Present the project and communicate appropriate recommendations based
on meaningful conclusions drawn from the evidence findings and/or analysis.
Learning Outcome 4
Reflect on the value gained from conducting the project and its usefulness to
support sustainable organisational performance.
UNIT 8: Computer Systems Architecture
Learning Outcome 1
Explain the relationships between hardware components and the subsystems
used in a computer system.
Learning Outcome 2
Categorize the key features and services provided by different computer
operating systems and hardware.
Learning Outcome 3
Use network communication technology and the associated services to
connect computer systems.
Learning Outcome 4
Demonstrate diagnostic and troubleshooting skills to solve hardware,
software and networking related issues.
UNIT 9: Software Development Lifecycles
Learning Outcome 1
Describe different software development lifecycles.
Learning Outcome 2
Explain the importance of a feasibility study.
Learning Outcome 3
Undertake a software development lifecycle.
Learning Outcome 4
Discuss the suitability of software behavioral design techniques.
UNIT 13: Computing Research Project
Learning Outcome 1
Examine appropriate research methodologies and approaches as part of the
research process.
Learning Outcome 2
Conduct and analyse research relevant to a computing research project.
Learning Outcome 3
Communicate the outcomes of a research project to identified stakeholders.
Learning Outcome 4
Reflect on the application of research methodologies and concepts.
UNIT 14: Business Intelligence
Learning Outcome 1
Discuss business processes and the mechanisms used to support business
decision-making.
Learning Outcome 2
Compare the tools and technologies associated with business intelligence
functionality.
Learning Outcome 3
Demonstrate the use of business intelligence tools and technologies.
Learning Outcome 4
Discuss the impact of business intelligence tools and technologies for
effective decision-making purposes and the legal/regulatory context in which they are used.
UNIT 17: Network Security
Learning Outcome 1
Examine Network Security principles, protocols and standards.
Learning Outcome 2
Design a secure network for a corporate environment.
Learning Outcome 3
Configure Network Security measures for the corporate environment.
Learning Outcome 4
Undertake the testing of a network using a Test Plan.
UNIT 23: Cryptography
Learning Outcome 1
Examine the symmetric encryption algorithms and ciphers.
Learning Outcome 2
Assess public key encryption protocols and signatures and their uses in the message and key exchanges.
Learning Outcome 3
Analyse the security issues related to symmetric and asymmetric encryption methods.
Learning Outcome 4
Evaluate advanced encryption protocols and their applications in secure message exchanges.
UNIT 24: Forensics
Learning Outcome 1
Examine the processes and procedures for carrying out digital Forensic Investigation.
Learning Outcome 2
Discuss the legal and professional guidelines and procedures for carrying out digital Forensic Investigation.
Learning Outcome 3
Use a tool or tools to conduct digital Forensic Investigation on devices or networks or cyber attacks.
Learning Outcome 4
Develop a Test Plan and make some recommendations for use in digital Forensic Investigation.
UNIT 25: Information Security Management
Learning Outcome 1
Explore the basic principles of information security management.
Learning Outcome 2
Critically assess how an organisation can implement and maintain an
Information Security Management System (ISMS).
Learning Outcome 3
Appraise an ISMS and describe any weaknesses it may contain.
Learning Outcome 4
Examine the strengths and weaknesses of implementing ISMS standards.
UNIT 27: Artificial Intelligence
Learning Outcome 1
Analyse the theoretical foundation of artificial intelligence, current trends
and issues to determine the effectiveness of AI technology.
Learning Outcome 2
Implement an intelligent system using a technique of the top-down
approach of AI.
Learning Outcome 3
Implement an intelligent system using a technique of the bottom-up
approach of AI.
Learning Outcome 4
Investigate and discuss a range of emerging AI technologies to determine
future changes in industry.