Pearson
    Level 5
    QN: 610/1262/2
    Curriculum Active

    Pearson BTEC Level 5 Higher National Diploma in Computer Systems Engineering

    Official qualification regulated by Ofqual, awarded by Pearson. Classified as a Other Vocational Qualification. Total guided learning hours: 1830 hours.

    Qualification Level
    Level 5
    Awarding Body
    Pearson
    Syllabus Units
    30 Units
    Guided Hours
    1830 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Analogue and Digital Communications

    Verified
    Key Learning Objectives:
    • Examine different performance metrics and components used in a communication system
    • Explore different modulation and demodulation techniques
    • Investigate the transmission of signals over wired and wireless media
    • Design a communication system.
    2

    Analogue and Digital Electronics

    Verified
    Key Learning Objectives:
    • Investigate logic functions
    • Produce tabular and Karnaugh map designs to implement logic systems
    • Examine the use of Class A and Class B amplifiers in modern systems
    • Investigate operational amplifier circuits and their application.
    3

    Analogue Electronic Systems

    Verified
    Key Learning Objectives:
    • Design single stage analogue amplifier circuits to predict and measure, by simulation, the gain, frequency response and input and output resistances
    • Develop functional subsystems through an understanding of the characteristics of operational amplifiers
    • Examine the characteristics of information represented in analogue and digital format to assess techniques for the conversion of signals between analogue and digital formats
    • Design electronic circuits using physical components
    4

    Computer Aided Design(CAD) for Engineering

    Verified
    Key Learning Objectives:
    • Discuss the role of CAD in different engineering contexts and its influence on design and manufacturing processes in areas of specialist practice.2.
    • Use 2D and 3D CAD software to produce visualisations and technical drawings.3. Present drawings and renderings, for a given project, produced using CAD software.4.
    • Evaluate the way in which CAD software may integrate into production processes.
    5

    Computer Architecture and Interfacing

    Verified
    Key Learning Objectives:
    • Produce an assembly application targeting a chosen Instruction Set Architecture (ISA) to meet application requirements.2.
    • Analyse microarchitectural approaches for target application domains to meet set design requirements.3.
    • Examine the key components used in the implementation of modern System on Chip.4.
    • Investigate the techniques used to interface with modern processors.
    6

    Data and Information

    Verified
    Key Learning Objectives:
    • Investigate the difference between data and information for decision making
    • Examine the impact of data quality on producing information for decision making
    • Demonstrate methods for primary and secondary data collection
    • Assess data analysis methods and techniques to meet or exceed the customer or organisational requirements and expectations.
    7

    Data Networks, Services and Security

    Verified
    Key Learning Objectives:
    • Investigate the architecture and classification of the protocols needed to design, deploy and manage various computer networks to support organisational requirements
    • Examine the different types of networking technologies needed to secure data transmission for services locally and over the Internet
    • Design and deploy a net
    • work as a solution for a business use case with a strategy for net
    • work management and monitoring
    • Optimise net
    • work performance to address the requirements of a hostile organisational environment including ethical and cybersecurity threats and hazards.
    8

    Digital Devices and Systems

    Verified
    Key Learning Objectives:
    • Design combinational logic circuits for suitable applications
    • Design sequential logic circuits for suitable applications
    • Implement combinational and sequential logic circuits using a hardware description language (HDL) software package
    • Test combinational and sequential logic designs using a field-programmable gate array (FPGA) development board.
    9

    Digital Electronic Systems

    Verified
    Key Learning Objectives:
    • Evaluate combinational logic circuit designs for complex applications
    • Evaluate sequential logic circuits for complex applications
    • Implement complex combinational and sequential logic circuits using an HDL
    • Analyse the function of combinational and sequential logic designs using simulation, and testing on a FPGA development board.
    10

    Digital Principles

    Verified
    Key Learning Objectives:
    • Explain and analyse simple combinational logic circuits.2.
    • Explain and analyse simple sequential logic circuits.3.
    • Describe and evaluate the technologies used to implement digital electronic circuits
    • Describe and analyse a range of digital sub-systems, hence establishing the building blocks for larger systems
    11

    Digital System Design

    Verified
    Key Learning Objectives:
    • Implement shift registers and mod-x counters using an HDL and FPGA development board
    • Synthesise medium complexity digital circuits using structural HDL descriptions
    • Design Finite State Machines (FSM)
    • Implement Finite State Machines by applying CAD tools and by using a FPGA development board.
    12

    Electronic Circuits and Devices

    Verified
    Key Learning Objectives:
    • Determine the operational characteristics of amplifier circuits
    • Investigate the types and effects of feedback on an amplifiers performance
    • Examine the operation and application of oscillators
    • Apply testing procedures to electronic devices and circuits
    13

    Embedded Systems

    Verified
    Key Learning Objectives:
    • Explore the principle features of a microcontroller, and explain the purpose of its constituent parts
    • Design and implement simple external circuitry, interfacing with a given microcontroller
    • Write well-structured code in an appropriate programming language, to simulate, test and debug it
    • Evaluate the applications of embedded systems in the wider environment, including in networked systems
    14

    Engineering Maths

    Verified
    Key Learning Objectives:
    • Identify the relevance of mathematical methods to a variety of conceptualized engineering examples
    • Investigate applications of statistical techniques to interpret
    • organise and present data.3.
    • Use analytical and computational methods for solving problems by relating sinusoidal wave and vector functions to their respective engineering application.4.
    • Examine how differential and integral calculus can be used to solve engineering problems.
    15

    Engineering Project

    Verified
    Key Learning Objectives:
    • Identify an engineering-based project in line with national and international engineering regulatory and ethical frameworks
    • Plan an engineering-based project using project management software, tools and techniques
    • Implement the project plan to include the production of a technical engineering report
    • Present the engineering-based project and reflection of the project outcomes
    16

    Engineering Science

    Verified
    Key Learning Objectives:
    • Examine scientific data using both quantitative and qualitative methods.2.
    • Determine parameters within mechanical engineering systems.3.
    • Explore the characteristics and properties of engineering materials.4.
    • Analyse applications of A.C./D.C. circuit theorems, electromagnetic principles and properties.
    17

    Further Mathematics

    Verified
    Key Learning Objectives:
    • Use applications of number theory in practical engineering situations
    • Solve systems of linear equations relevant to engineering applications using matrix methods
    • Approximate solutions of contextualised examples with graphical and numerical methods
    • Review models of engineering systems using ordinary differential equations
    18

    Industrial Robots

    Verified
    Key Learning Objectives:
    • Describe the operational characteristics, selection criteria and applications of industrial robots within manufacturing industries.2.
    • Explain the safety standards associated with industrial robots.3. Program an industrial robot for automated process application.4.
    • Investigate the global economic scope of industrial robots and integration into smart factories.
    19

    Industry 4.0

    Verified
    Key Learning Objectives:
    • Investigate the factors leading to the fourth industrial revolution and the characteristics of a smart factory.2.
    • Review the range of cyber-physical technologies shaping Industry 4.0 and the benefits to suppliers, producers and customers.3.
    • Examine the factors manufacturers need to consider when transitioning from Industry 3.0 to 4.0.4.
    • Explore futuristic trends in manufacturing and the factors shaping Industry 5.0.
    20

    Internet and Network Technologies

    Verified
    Key Learning Objectives:
    • Discuss the evolution of the Internet identifying major technological and usage transitions
    • Evaluate net
    • work protocols suitability to meet application requirements referencing appropriate standards
    • work designs to meet customer requirements that conform to industry best practice
    • Analyse the security threats faced by computer networks and communicate mitigation strategies.
    21

    Machine Learning Systems and Programming

    Verified
    Key Learning Objectives:
    • Investigate best coding practices and object-oriented programming design principles for machine learning applications.2.
    • Analyse the different machine learning approaches and algorithms.3.
    • Apply machine learning to solve real-world problems using object-oriented programming.4.
    • Assess ethical challenges and security risks of machine learning within the values of an organisation.
    22

    Professional Engineering Management

    Verified
    Key Learning Objectives:
    • Evaluate the risk evaluation theories and practices associated with the management of projects for the production of current and developing technology
    • Produce an engineering services delivery plan that meets the requirements of a sector-specific organisation
    • Develop effective leadership skills, individual and group communication skills
    • Develop personal commitment to professional standards and obligations to society, the engineering profession and the environment
    23

    Professional Engineering Practice

    Verified
    Key Learning Objectives:
    • Identify the roles, responsibilities and competences of the professional engineer
    • Describe the regulatory, legislative and ethical frameworks that govern the work of the professional engineer
    • Review the role of communication, team working and leadership on the development of professional engineers
    • Discuss how professional engineers can develop holistic approaches to the sustainability of manufacturing processes.
    24

    Programmable Logic Controllers

    Verified
    Key Learning Objectives:
    • Describe the design, operation and selection of PLC systems.2.
    • Explore Functional Safety within PLC systems.3.
    • Develop a PLC program for an automated process system.4.
    • Review how PLCs exchange information and process signals with other devices.
    25

    Programming for Engineers

    Verified
    Key Learning Objectives:
    • Discuss key aspects of software evolution and development in the context of engineering applications
    • Design a programming solution for an engineering problem
    • Implement a programming solution for an engineering problem
    • Perform testing of the programming solution to meet defined requirements and to ensure high quality outputs
    26

    Quality and Process Improvement

    Verified
    Key Learning Objectives:
    • Illustrate the applications of statistical process control when applied in an industrial environment to improve efficiency
    • Analyse cost effective quality control tools
    • Determine the role of standards in improving efficiency, meeting customer requirements and opening up new opportunities for trade
    • Analyse the importance of total quality management and continuous improvement in manufacturing environments
    27

    Renewable Energy

    Verified
    Key Learning Objectives:
    • Explore potential renewable energy resources, including current storage and generation technologies
    • Determine the optimum combination and efficiencies of renewable energy technologies for a particular location
    • Conduct a cost–benefit analysis to determine the most viable option between renewable and conventional energy sources
    • Explain socio-economic, legislative and environmental factors involved in the consideration and selection of other approaches to renewable energy resources and technologies.
    28

    Sensors and Automation

    Verified
    Key Learning Objectives:
    • Explore computer control in a feedback configuration
    • Examine different types of sensors and actuators for automation
    • Demonstrate design and implementation skills in programming PLC-based controllers
    • Investigate PROFINET standard, operation, and data analysis techniques.
    29

    Sustainability

    Verified
    Key Learning Objectives:
    • Determine the nature and scope of the technical challenges of ensuring sustainable development
    • Articulate the importance of collaborating with other disciplines in developing technical solutions to sustainability problems
    • Evaluate the use of alternative energy generation techniques in relation to their contribution to a low carbon economy
    • Analyse a variety of data sources to estimate the carbon footprint of a sociotechnical scenario
    30

    Telecommunication Principles

    Verified
    Key Learning Objectives:
    • Develop fundamental knowledge of analogue electronic communication systems.2.
    • Analyse digital communication techniques.3.
    • Assess transmission channels and applications.4.
    • Investigate the design of Data Networks.

    Regulatory & Verification Details

    Qualification Number (QN)
    610/1262/2
    Regulated Status
    Available to learners
    Awarding Body
    Pearson
    Qualification Type
    Other Vocational Qualification
    Operational Start
    Sept 2022