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About the course
Examine the design, integration and operation of information systems. The proposed outline builds computing foundations before addressing organisational technology requirements. Southern African cases should consider connectivity, user support, security, maintenance and data governance. The engineering wording of the catalogue title needs review against the intended computing qualification.
What you'll learn
- Translate a user or organisational need into testable system requirements.
- Develop and evaluate a documented software or information-system component.
- Analyse data, network and security considerations.
- Recommend a supported solution with clear implementation and maintenance limits.
Requirements
- Recommended preparation includes strong mathematics, physical science, technical English and computer literacy. BMIT must publish its approved admissions and recognition-of-prior-learning rules before enrolment decisions. Comparator universities set their own thresholds. Their credits, module codes and duration have not been transferred to this outline.
Course content
Sections: 5
•Activities: 1
•Resources: 30
Subjects in this programme
The subjects are grouped by learning stage, from foundations to specialist study and supervised application. Complete earlier foundations before the related advanced work. Clinical, laboratory, field and workplace subjects use approved facilities and supervision appropriate to the programme.
30 subjects are listed below, with a short description of each. The Subject descriptions tab contains the learning outcomes, topics, practical tasks and assessments.
Stage 1: Mathematical, scientific and professional foundations
- Differential Calculus. Examine functions, limits and their relationship within differential calculus. The subject develops differentiation and rates of change, then examines optimisation and model assumptions. Analyse a measured change and compare graphical and algebraic solutions.
- Integral Calculus and Differential Equations. Develop your understanding of integral calculus and differential equations through integration and accumulated quantities. The subject develops first-order equations and second-order equations, then examines initial conditions and numerical checks. Model a simple accumulation process and check the solution against a numerical estimate.
- Linear Algebra. Study vectors and matrices as foundations for linear algebra. The subject develops linear systems and eigenvalues, then examines transformations and computational verification. Solve a small system using manual reasoning and a computational check.
- Mechanics and General Physics. Examine motion, forces and their relationship within mechanics and general physics. The subject develops energy and momentum, then examines oscillations and measurement uncertainty. Use a supervised teaching experiment to compare observation with a physical model.
- Electricity, Magnetism and Waves. Develop your understanding of electricity, magnetism and waves through electric fields and magnetic fields. The subject develops electromagnetic induction and wave behaviour, then examines optical principles and physical models. Interpret measurements from supervised electrical or optical teaching equipment.
- General Chemistry. Study atomic structure and bonding as foundations for general chemistry. The subject develops chemical quantities and solutions, then examines equilibrium and acids and bases. Analyse low-risk teaching data and complete approved laboratory exercises.
- Engineering Drawing and CAD. Examine orthographic views, sections and their relationship within engineering drawing and cad. The subject develops dimensions and tolerances, then examines assembly drawings and digital modelling. Produce drawings for a non-safety-critical teaching component.
- Programming Fundamentals. Develop your understanding of programming fundamentals through variables and control flow. The subject develops functions and data structures, then examines file handling and testing. Develop a small program which processes a defined teaching dataset.
- Engineering Materials. Study material classes and structure and properties as foundations for engineering materials. The subject develops mechanical behaviour and thermal behaviour, then examines corrosion and material selection. Compare material samples or published teaching data against a component brief.
- Engineering Statics. Examine force systems, equilibrium and their relationship within engineering statics. The subject develops free-body diagrams and structures, then examines friction and distributed loads. Analyse a simple structural model and check equilibrium experimentally.
- Academic and Professional Communication. Develop your understanding of academic and professional communication through reading strategies and evidence use. The subject develops report structure and presentations, then examines audience and referencing. Prepare a report and presentation for a defined professional audience.
- Engineering Professional Practice. Study professional responsibility and ethics as foundations for engineering professional practice. The subject develops technical communication and public welfare, then examines evidence integrity and continuing development. Analyse a regional engineering decision involving conflicting responsibilities.
Stage 2: Core engineering subjects
- Algorithms and Data Structures. Examine complexity, lists and trees and their relationship within algorithms and data structures. The subject develops graphs and searching, then examines sorting and algorithm comparison. Implement and compare algorithms on controlled test inputs.
- Computer Architecture. Develop your understanding of computer architecture through processor organisation and instruction execution. The subject develops memory hierarchy and input and output, then examines parallelism and performance. Compare architectural choices using a simulator and controlled workloads.
- Operating Systems. Study processes and memory as foundations for operating systems. The subject develops file systems and scheduling, then examines concurrency and system administration. Investigate an authorised virtual-machine environment and record system behaviour.
- Database Systems. Examine data models, relational design and their relationship within database systems. The subject develops queries and transactions, then examines data integrity and access control. Build a database for synthetic organisational records.
- Computer Networks. Develop your understanding of computer networks through layered communication and addressing. The subject develops routing and switching, then examines network services and troubleshooting. Configure a small isolated teaching network or simulation.
- Software Engineering. Study requirements and architecture as foundations for software engineering. The subject develops version control and testing, then examines collaboration and maintenance. Develop a small application through documented review and testing.
- Signals and Systems. Examine signal representation, linear systems and their relationship within signals and systems. The subject develops time response and frequency response, then examines sampling and filtering. Analyse recorded signals and compare alternative processing choices.
- Applied Statistics. Develop your understanding of applied statistics through descriptive measures and probability. The subject develops sampling and estimation, then examines hypothesis testing and regression. Analyse an approved dataset and distinguish uncertainty from systematic bias.
Stage 3: Specialist and integrative subjects
- Information Systems Analysis. Study stakeholders and process modelling as foundations for information systems analysis. The subject develops requirements and data needs, then examines usability and acceptance criteria. Analyse an organisational case and validate requirements with an approved representative.
- Web and Distributed Systems. Examine client-server models, web interfaces and their relationship within web and distributed systems. The subject develops apis and distributed data, then examines reliability and deployment. Develop and test a small service using synthetic data.
- Information Security. Develop your understanding of information security through threat modelling and access control. The subject develops cryptographic principles and secure configuration, then examines logging and incident response. Assess a deliberately authorised teaching system using a defensive checklist.
- Cloud Computing Fundamentals. Study service models and deployment models as foundations for cloud computing fundamentals. The subject develops shared responsibility and elasticity, then examines availability and cost awareness. Compare cloud options for a modest organisational teaching case.
- Data Engineering. Examine data pipelines, storage design and their relationship within data engineering. The subject develops transformation and batch processing, then examines data validation and pipeline monitoring. Build a reproducible pipeline using synthetic or permissioned data.
- Research Methods. Develop your understanding of research methods through research questions and literature review. The subject develops study design and data collection, then examines ethics and interpretation. Prepare a feasible investigation proposal with a defined evidence need.
Stage 4: Design, practice and final project
- Engineering Design Methods. Study problem definition and requirements as foundations for engineering design methods. The subject develops concept comparison and constraints, then examines verification planning and design review. Develop and review alternatives for a defined civilian technical need.
- Project Development and Feasibility. Examine problem definition, evidence review and their relationship within project development and feasibility. The subject develops requirements and method selection, then examines feasibility and evaluation criteria. Develop an approved discipline-specific project proposal with a supervisor.
- Supervised Workplace Learning. Develop your understanding of supervised workplace learning through workplace roles and approved task planning. The subject develops professional conduct and technical records, then examines feedback and reflective learning. Complete an agreed placement task under an approved workplace supervisor.
- Integrated Project and Technical Report. Study implementation and evidence collection as foundations for integrated project and technical report. The subject develops analysis and verification, then examines limitations and communication. Complete the approved project and maintain an auditable evidence record.
Assessment and practical learning
- Proposed assessment: mathematical problem sets and technical reports with calculations, units, assumptions and limitations made explicit.
- Supervised laboratory or workshop tasks assessed through observation, evidence records and an individual explanation of results.
- An integrated design or investigation portfolio, presentation and written assessment. BMIT must approve weighting and progression rules.
Practical application
Students need suitable computing facilities and an authorised testing environment. Projects should retain versioned code, test results and user feedback. Use synthetic or permissioned data and avoid changes to production systems without approval. Assessment should consider maintainability and documentation as well as a working demonstration.
Subject descriptions
Each subject below includes its purpose, learning outcomes, main topics, practical task and assessment approach.
Differential Calculus
Stage 1: Mathematical, scientific and professional foundations
Examine functions, limits and their relationship within differential calculus. The subject develops differentiation and rates of change, then examines optimisation and model assumptions. Analyse a measured change and compare graphical and algebraic solutions.
Learning outcomes
- Explain functions and limits using an appropriate example.
- Analyse a subject-related problem involving differentiation and rates of change.
- Present reasoned evidence addressing optimisation and model assumptions.
Main topics
- Functions
- Limits
- Differentiation
- Rates of change
- Optimisation
- Model assumptions
Practical task
Analyse a measured change and compare graphical and algebraic solutions.
Assessment
Submit worked problems and a short interpretation of an optimisation case.
Integral Calculus and Differential Equations
Stage 1: Mathematical, scientific and professional foundations
Develop your understanding of integral calculus and differential equations through integration and accumulated quantities. The subject develops first-order equations and second-order equations, then examines initial conditions and numerical checks. Model a simple accumulation process and check the solution against a numerical estimate.
Learning outcomes
- Explain integration and accumulated quantities using an appropriate example.
- Analyse a subject-related problem involving first-order equations and second-order equations.
- Present reasoned evidence addressing initial conditions and numerical checks.
Main topics
- Integration
- Accumulated quantities
- First-order equations
- Second-order equations
- Initial conditions
- Numerical checks
Practical task
Model a simple accumulation process and check the solution against a numerical estimate.
Assessment
Complete an analytical assignment explaining initial conditions and solution limits.
Linear Algebra
Stage 1: Mathematical, scientific and professional foundations
Study vectors and matrices as foundations for linear algebra. The subject develops linear systems and eigenvalues, then examines transformations and computational verification. Solve a small system using manual reasoning and a computational check.
Learning outcomes
- Explain vectors and matrices using an appropriate example.
- Analyse a subject-related problem involving linear systems and eigenvalues.
- Present reasoned evidence addressing transformations and computational verification.
Main topics
- Vectors
- Matrices
- Linear systems
- Eigenvalues
- Transformations
- Computational verification
Practical task
Solve a small system using manual reasoning and a computational check.
Assessment
Submit calculations and an explanation of the meaning of the solution.
Mechanics and General Physics
Stage 1: Mathematical, scientific and professional foundations
Examine motion, forces and their relationship within mechanics and general physics. The subject develops energy and momentum, then examines oscillations and measurement uncertainty. Use a supervised teaching experiment to compare observation with a physical model.
Learning outcomes
- Explain motion and forces using an appropriate example.
- Analyse a subject-related problem involving energy and momentum.
- Present reasoned evidence addressing oscillations and measurement uncertainty.
Main topics
- Motion
- Forces
- Energy
- Momentum
- Oscillations
- Measurement uncertainty
Practical task
Use a supervised teaching experiment to compare observation with a physical model.
Assessment
Submit a laboratory report and quantitative problem set.
Electricity, Magnetism and Waves
Stage 1: Mathematical, scientific and professional foundations
Develop your understanding of electricity, magnetism and waves through electric fields and magnetic fields. The subject develops electromagnetic induction and wave behaviour, then examines optical principles and physical models. Interpret measurements from supervised electrical or optical teaching equipment.
Learning outcomes
- Explain electric fields and magnetic fields using an appropriate example.
- Analyse a subject-related problem involving electromagnetic induction and wave behaviour.
- Present reasoned evidence addressing optical principles and physical models.
Main topics
- Electric fields
- Magnetic fields
- Electromagnetic induction
- Wave behaviour
- Optical principles
- Physical models
Practical task
Interpret measurements from supervised electrical or optical teaching equipment.
Assessment
Complete calculations and a report explaining discrepancies from theory.
General Chemistry
Stage 1: Mathematical, scientific and professional foundations
Study atomic structure and bonding as foundations for general chemistry. The subject develops chemical quantities and solutions, then examines equilibrium and acids and bases. Analyse low-risk teaching data and complete approved laboratory exercises.
Learning outcomes
- Explain atomic structure and bonding using an appropriate example.
- Analyse a subject-related problem involving chemical quantities and solutions.
- Present reasoned evidence addressing equilibrium and acids and bases.
Main topics
- Atomic structure
- Bonding
- Chemical quantities
- Solutions
- Equilibrium
- Acids and bases
Practical task
Analyse low-risk teaching data and complete approved laboratory exercises.
Assessment
Submit a practical record and calculations with units and assumptions.
Engineering Drawing and CAD
Stage 1: Mathematical, scientific and professional foundations
Examine orthographic views, sections and their relationship within engineering drawing and cad. The subject develops dimensions and tolerances, then examines assembly drawings and digital modelling. Produce drawings for a non-safety-critical teaching component.
Learning outcomes
- Explain orthographic views and sections using an appropriate example.
- Analyse a subject-related problem involving dimensions and tolerances.
- Present reasoned evidence addressing assembly drawings and digital modelling.
Main topics
- Orthographic views
- Sections
- Dimensions
- Tolerances
- Assembly drawings
- Digital modelling
Practical task
Produce drawings for a non-safety-critical teaching component.
Assessment
Submit dimensioned drawings and explain design communication choices.
Programming Fundamentals
Stage 1: Mathematical, scientific and professional foundations
Develop your understanding of programming fundamentals through variables and control flow. The subject develops functions and data structures, then examines file handling and testing. Develop a small program which processes a defined teaching dataset.
Learning outcomes
- Explain variables and control flow using an appropriate example.
- Analyse a subject-related problem involving functions and data structures.
- Present reasoned evidence addressing file handling and testing.
Main topics
- Variables
- Control flow
- Functions
- Data structures
- File handling
- Testing
Practical task
Develop a small program which processes a defined teaching dataset.
Assessment
Submit working code, tests and a concise user explanation.
Engineering Materials
Stage 1: Mathematical, scientific and professional foundations
Study material classes and structure and properties as foundations for engineering materials. The subject develops mechanical behaviour and thermal behaviour, then examines corrosion and material selection. Compare material samples or published teaching data against a component brief.
Learning outcomes
- Explain material classes and structure and properties using an appropriate example.
- Analyse a subject-related problem involving mechanical behaviour and thermal behaviour.
- Present reasoned evidence addressing corrosion and material selection.
Main topics
- Material classes
- Structure and properties
- Mechanical behaviour
- Thermal behaviour
- Corrosion
- Material selection
Practical task
Compare material samples or published teaching data against a component brief.
Assessment
Submit a selection report explaining evidence and trade-offs.
Engineering Statics
Stage 1: Mathematical, scientific and professional foundations
Examine force systems, equilibrium and their relationship within engineering statics. The subject develops free-body diagrams and structures, then examines friction and distributed loads. Analyse a simple structural model and check equilibrium experimentally.
Learning outcomes
- Explain force systems and equilibrium using an appropriate example.
- Analyse a subject-related problem involving free-body diagrams and structures.
- Present reasoned evidence addressing friction and distributed loads.
Main topics
- Force systems
- Equilibrium
- Free-body diagrams
- Structures
- Friction
- Distributed loads
Practical task
Analyse a simple structural model and check equilibrium experimentally.
Assessment
Submit calculations, diagrams and a short validation report.
Academic and Professional Communication
Stage 1: Mathematical, scientific and professional foundations
Develop your understanding of academic and professional communication through reading strategies and evidence use. The subject develops report structure and presentations, then examines audience and referencing. Prepare a report and presentation for a defined professional audience.
Learning outcomes
- Explain reading strategies and evidence use using an appropriate example.
- Analyse a subject-related problem involving report structure and presentations.
- Present reasoned evidence addressing audience and referencing.
Main topics
- Reading strategies
- Evidence use
- Report structure
- Presentations
- Audience
- Referencing
Practical task
Prepare a report and presentation for a defined professional audience.
Assessment
Submit revised written work and an individual presentation.
Engineering Professional Practice
Stage 1: Mathematical, scientific and professional foundations
Study professional responsibility and ethics as foundations for engineering professional practice. The subject develops technical communication and public welfare, then examines evidence integrity and continuing development. Analyse a regional engineering decision involving conflicting responsibilities.
Learning outcomes
- Explain professional responsibility and ethics using an appropriate example.
- Analyse a subject-related problem involving technical communication and public welfare.
- Present reasoned evidence addressing evidence integrity and continuing development.
Main topics
- Professional responsibility
- Ethics
- Technical communication
- Public welfare
- Evidence integrity
- Continuing development
Practical task
Analyse a regional engineering decision involving conflicting responsibilities.
Assessment
Submit an ethical decision brief and a professional communication exercise.
Algorithms and Data Structures
Stage 2: Core engineering subjects
Examine complexity, lists and trees and their relationship within algorithms and data structures. The subject develops graphs and searching, then examines sorting and algorithm comparison. Implement and compare algorithms on controlled test inputs.
Learning outcomes
- Explain complexity and lists and trees using an appropriate example.
- Analyse a subject-related problem involving graphs and searching.
- Present reasoned evidence addressing sorting and algorithm comparison.
Main topics
- Complexity
- Lists and trees
- Graphs
- Searching
- Sorting
- Algorithm comparison
Practical task
Implement and compare algorithms on controlled test inputs.
Assessment
Submit code, tests and a complexity discussion.
Computer Architecture
Stage 2: Core engineering subjects
Develop your understanding of computer architecture through processor organisation and instruction execution. The subject develops memory hierarchy and input and output, then examines parallelism and performance. Compare architectural choices using a simulator and controlled workloads.
Learning outcomes
- Explain processor organisation and instruction execution using an appropriate example.
- Analyse a subject-related problem involving memory hierarchy and input and output.
- Present reasoned evidence addressing parallelism and performance.
Main topics
- Processor organisation
- Instruction execution
- Memory hierarchy
- Input and output
- Parallelism
- Performance
Practical task
Compare architectural choices using a simulator and controlled workloads.
Assessment
Submit a performance report with reproducible measurements.
Operating Systems
Stage 2: Core engineering subjects
Study processes and memory as foundations for operating systems. The subject develops file systems and scheduling, then examines concurrency and system administration. Investigate an authorised virtual-machine environment and record system behaviour.
Learning outcomes
- Explain processes and memory using an appropriate example.
- Analyse a subject-related problem involving file systems and scheduling.
- Present reasoned evidence addressing concurrency and system administration.
Main topics
- Processes
- Memory
- File systems
- Scheduling
- Concurrency
- System administration
Practical task
Investigate an authorised virtual-machine environment and record system behaviour.
Assessment
Submit practical records and an operating-system analysis.
Database Systems
Stage 2: Core engineering subjects
Examine data models, relational design and their relationship within database systems. The subject develops queries and transactions, then examines data integrity and access control. Build a database for synthetic organisational records.
Learning outcomes
- Explain data models and relational design using an appropriate example.
- Analyse a subject-related problem involving queries and transactions.
- Present reasoned evidence addressing data integrity and access control.
Main topics
- Data models
- Relational design
- Queries
- Transactions
- Data integrity
- Access control
Practical task
Build a database for synthetic organisational records.
Assessment
Submit the schema, queries, test data and integrity checks.
Computer Networks
Stage 2: Core engineering subjects
Develop your understanding of computer networks through layered communication and addressing. The subject develops routing and switching, then examines network services and troubleshooting. Configure a small isolated teaching network or simulation.
Learning outcomes
- Explain layered communication and addressing using an appropriate example.
- Analyse a subject-related problem involving routing and switching.
- Present reasoned evidence addressing network services and troubleshooting.
Main topics
- Layered communication
- Addressing
- Routing
- Switching
- Network services
- Troubleshooting
Practical task
Configure a small isolated teaching network or simulation.
Assessment
Submit diagrams, configurations and troubleshooting evidence.
Software Engineering
Stage 2: Core engineering subjects
Study requirements and architecture as foundations for software engineering. The subject develops version control and testing, then examines collaboration and maintenance. Develop a small application through documented review and testing.
Learning outcomes
- Explain requirements and architecture using an appropriate example.
- Analyse a subject-related problem involving version control and testing.
- Present reasoned evidence addressing collaboration and maintenance.
Main topics
- Requirements
- Architecture
- Version control
- Testing
- Collaboration
- Maintenance
Practical task
Develop a small application through documented review and testing.
Assessment
Submit software, a test report and design documentation.
Signals and Systems
Stage 2: Core engineering subjects
Examine signal representation, linear systems and their relationship within signals and systems. The subject develops time response and frequency response, then examines sampling and filtering. Analyse recorded signals and compare alternative processing choices.
Learning outcomes
- Explain signal representation and linear systems using an appropriate example.
- Analyse a subject-related problem involving time response and frequency response.
- Present reasoned evidence addressing sampling and filtering.
Main topics
- Signal representation
- Linear systems
- Time response
- Frequency response
- Sampling
- Filtering
Practical task
Analyse recorded signals and compare alternative processing choices.
Assessment
Submit a reproducible signal-analysis report.
Applied Statistics
Stage 2: Core engineering subjects
Develop your understanding of applied statistics through descriptive measures and probability. The subject develops sampling and estimation, then examines hypothesis testing and regression. Analyse an approved dataset and distinguish uncertainty from systematic bias.
Learning outcomes
- Explain descriptive measures and probability using an appropriate example.
- Analyse a subject-related problem involving sampling and estimation.
- Present reasoned evidence addressing hypothesis testing and regression.
Main topics
- Descriptive measures
- Probability
- Sampling
- Estimation
- Hypothesis testing
- Regression
Practical task
Analyse an approved dataset and distinguish uncertainty from systematic bias.
Assessment
Submit a reproducible analysis with justified methods and interpretation.
Information Systems Analysis
Stage 3: Specialist and integrative subjects
Study stakeholders and process modelling as foundations for information systems analysis. The subject develops requirements and data needs, then examines usability and acceptance criteria. Analyse an organisational case and validate requirements with an approved representative.
Learning outcomes
- Explain stakeholders and process modelling using an appropriate example.
- Analyse a subject-related problem involving requirements and data needs.
- Present reasoned evidence addressing usability and acceptance criteria.
Main topics
- Stakeholders
- Process modelling
- Requirements
- Data needs
- Usability
- Acceptance criteria
Practical task
Analyse an organisational case and validate requirements with an approved representative.
Assessment
Submit process models and a requirements specification.
Web and Distributed Systems
Stage 3: Specialist and integrative subjects
Examine client-server models, web interfaces and their relationship within web and distributed systems. The subject develops apis and distributed data, then examines reliability and deployment. Develop and test a small service using synthetic data.
Learning outcomes
- Explain client-server models and web interfaces using an appropriate example.
- Analyse a subject-related problem involving apis and distributed data.
- Present reasoned evidence addressing reliability and deployment.
Main topics
- Client-server models
- Web interfaces
- APIs
- Distributed data
- Reliability
- Deployment
Practical task
Develop and test a small service using synthetic data.
Assessment
Submit the service, interface documentation and tests.
Information Security
Stage 3: Specialist and integrative subjects
Develop your understanding of information security through threat modelling and access control. The subject develops cryptographic principles and secure configuration, then examines logging and incident response. Assess a deliberately authorised teaching system using a defensive checklist.
Learning outcomes
- Explain threat modelling and access control using an appropriate example.
- Analyse a subject-related problem involving cryptographic principles and secure configuration.
- Present reasoned evidence addressing logging and incident response.
Main topics
- Threat modelling
- Access control
- Cryptographic principles
- Secure configuration
- Logging
- Incident response
Practical task
Assess a deliberately authorised teaching system using a defensive checklist.
Assessment
Submit a security review and prioritised improvement plan.
Cloud Computing Fundamentals
Stage 3: Specialist and integrative subjects
Study service models and deployment models as foundations for cloud computing fundamentals. The subject develops shared responsibility and elasticity, then examines availability and cost awareness. Compare cloud options for a modest organisational teaching case.
Learning outcomes
- Explain service models and deployment models using an appropriate example.
- Analyse a subject-related problem involving shared responsibility and elasticity.
- Present reasoned evidence addressing availability and cost awareness.
Main topics
- Service models
- Deployment models
- Shared responsibility
- Elasticity
- Availability
- Cost awareness
Practical task
Compare cloud options for a modest organisational teaching case.
Assessment
Submit a service comparison and cost-risk explanation.
Data Engineering
Stage 3: Specialist and integrative subjects
Examine data pipelines, storage design and their relationship within data engineering. The subject develops transformation and batch processing, then examines data validation and pipeline monitoring. Build a reproducible pipeline using synthetic or permissioned data.
Learning outcomes
- Explain data pipelines and storage design using an appropriate example.
- Analyse a subject-related problem involving transformation and batch processing.
- Present reasoned evidence addressing data validation and pipeline monitoring.
Main topics
- Data pipelines
- Storage design
- Transformation
- Batch processing
- Data validation
- Pipeline monitoring
Practical task
Build a reproducible pipeline using synthetic or permissioned data.
Assessment
Submit the pipeline, validation checks and operating notes.
Research Methods
Stage 3: Specialist and integrative subjects
Develop your understanding of research methods through research questions and literature review. The subject develops study design and data collection, then examines ethics and interpretation. Prepare a feasible investigation proposal with a defined evidence need.
Learning outcomes
- Explain research questions and literature review using an appropriate example.
- Analyse a subject-related problem involving study design and data collection.
- Present reasoned evidence addressing ethics and interpretation.
Main topics
- Research questions
- Literature review
- Study design
- Data collection
- Ethics
- Interpretation
Practical task
Prepare a feasible investigation proposal with a defined evidence need.
Assessment
Submit a proposal, methods rationale and ethics considerations.
Engineering Design Methods
Stage 4: Design, practice and final project
Study problem definition and requirements as foundations for engineering design methods. The subject develops concept comparison and constraints, then examines verification planning and design review. Develop and review alternatives for a defined civilian technical need.
Learning outcomes
- Explain problem definition and requirements using an appropriate example.
- Analyse a subject-related problem involving concept comparison and constraints.
- Present reasoned evidence addressing verification planning and design review.
Main topics
- Problem definition
- Requirements
- Concept comparison
- Constraints
- Verification planning
- Design review
Practical task
Develop and review alternatives for a defined civilian technical need.
Assessment
Submit a requirements-led design dossier with review responses.
Project Development and Feasibility
Stage 4: Design, practice and final project
Examine problem definition, evidence review and their relationship within project development and feasibility. The subject develops requirements and method selection, then examines feasibility and evaluation criteria. Develop an approved discipline-specific project proposal with a supervisor.
Learning outcomes
- Explain problem definition and evidence review using an appropriate example.
- Analyse a subject-related problem involving requirements and method selection.
- Present reasoned evidence addressing feasibility and evaluation criteria.
Main topics
- Problem definition
- Evidence review
- Requirements
- Method selection
- Feasibility
- Evaluation criteria
Practical task
Develop an approved discipline-specific project proposal with a supervisor.
Assessment
Submit a proposal, evidence review and evaluation plan.
Supervised Workplace Learning
Stage 4: Design, practice and final project
Develop your understanding of supervised workplace learning through workplace roles and approved task planning. The subject develops professional conduct and technical records, then examines feedback and reflective learning. Complete an agreed placement task under an approved workplace supervisor.
Learning outcomes
- Explain workplace roles and approved task planning using an appropriate example.
- Analyse a subject-related problem involving professional conduct and technical records.
- Present reasoned evidence addressing feedback and reflective learning.
Main topics
- Workplace roles
- Approved task planning
- Professional conduct
- Technical records
- Feedback
- Reflective learning
Practical task
Complete an agreed placement task under an approved workplace supervisor.
Assessment
Submit an authenticated work portfolio and reflective presentation.
Integrated Project and Technical Report
Stage 4: Design, practice and final project
Study implementation and evidence collection as foundations for integrated project and technical report. The subject develops analysis and verification, then examines limitations and communication. Complete the approved project and maintain an auditable evidence record.
Learning outcomes
- Explain implementation and evidence collection using an appropriate example.
- Analyse a subject-related problem involving analysis and verification.
- Present reasoned evidence addressing limitations and communication.
Main topics
- Implementation
- Evidence collection
- Analysis
- Verification
- Limitations
- Communication
Practical task
Complete the approved project and maintain an auditable evidence record.
Assessment
Submit the final project, report and individual oral defence.
Instructors
Enrolment options
BEngTech in Information Technology and Engineering
Course modified date: 13 September 2026
Examine the design, integration and operation of information systems. The proposed outline builds computing foundations before addressing organisational technology requirements. Southern African cases should consider connectivity, user support, security, maintenance and data governance. The engineering wording of the catalogue title needs review against the intended computing qualification.
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