Bachelor of Science in Remote Sensing and GIS
Study how location-based information and remotely sensed observations are collected, analysed and communicated.
About the course
Study how location-based information and remotely sensed observations are collected, analysed and communicated. The proposed degree connects geographical understanding with computing and measurement. Southern African projects should address a defined land, water, settlement or resource question, with clear attention to scale, data quality and the limits of map interpretation.
What you'll learn
Explain coordinate systems, spatial data models and image characteristics.
Create and analyse a documented geographical dataset.
Evaluate remote-sensing results against suitable reference evidence.
Communicate a spatial investigation through maps and a justified report.
Requirements
Recommended preparation includes mathematics, the relevant natural sciences, academic English and computer literacy. BMIT must confirm the approved admission route, any bridging study and recognition of prior learning. Source institutions retain their own admission rules. This outline does not assign a duration, credit total or qualification-framework level.
Course content
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.
4 learning stages 28 subjects
1Stage 1: Scientific and geographical foundations8 subjects
2Stage 2: Geospatial foundations8 subjects
3Stage 3: Applied geospatial science8 subjects
4Stage 4: Fieldwork and integrated project4 subjects
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.
28 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: Scientific and geographical 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.
- Linear Algebra. Develop your understanding of linear algebra through vectors and matrices. The subject develops linear systems and eigenvalues, then examines transformations and computational verification. Solve a small system using manual reasoning and a computational check.
- Applied Statistics. Study descriptive measures and probability as foundations for applied statistics. The subject develops sampling and estimation, then examines hypothesis testing and regression. Analyse an approved dataset and distinguish uncertainty from systematic bias.
- 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.
- Ecology. Develop your understanding of ecology through populations and communities. The subject develops ecosystems and energy flows, then examines species interactions and ecological evidence. Analyse an approved field observation or ecological dataset.
- Climate and Environmental Change. Study weather systems and climate variability as foundations for climate and environmental change. The subject develops climate evidence and impacts, then examines adaptation and uncertainty. Interpret regional climate information and compare adaptation choices.
- Academic and Professional Communication. Examine reading strategies, evidence use and their relationship within academic and professional communication. The subject develops report structure and presentations, then examines audience and referencing. Prepare a report and presentation for a defined professional audience.
- Digital Information Skills. Develop your understanding of digital information skills through file organisation and word processing. The subject develops spreadsheets and online information, then examines account security and data integrity. Organise files and analyse a small dataset using common digital tools.
Stage 2: Geospatial foundations
- Engineering Surveying. Study measurement systems and levelling as foundations for engineering surveying. The subject develops coordinates and traversing, then examines setting-out concepts and survey accuracy. Complete supervised measurements at an approved teaching site.
- Cartography and Geovisualisation. Examine scale, projection and their relationship within cartography and geovisualisation. The subject develops symbolisation and generalisation, then examines accessibility and map interpretation. Produce maps for different audiences from the same authorised dataset.
- Geographical Information Systems. Develop your understanding of geographical information systems through spatial data and coordinate systems. The subject develops spatial databases and geoprocessing, then examines map design and metadata. Create a documented map analysis using authorised geographical data.
- Programming Fundamentals. Study variables and control flow as foundations for programming fundamentals. The subject develops functions and data structures, then examines file handling and testing. Develop a small program which processes a defined teaching dataset.
- 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.
- Remote Sensing. Develop your understanding of remote sensing through sensors and spectral response. The subject develops image geometry and classification, then examines accuracy and environmental monitoring. Analyse public satellite imagery and evaluate a classification result.
- Soil Science and Land Capability. Study soil formation and soil properties as foundations for soil science and land capability. The subject develops soil water and nutrients, then examines erosion and land capability. Describe approved soil samples and interpret a land-use case.
- Water Resources Management. Examine catchments, water balance and their relationship within water resources management. The subject develops demand and allocation, then examines water quality and governance. Analyse a catchment teaching case with competing water uses.
Stage 3: Applied geospatial science
- Spatial Analysis and Modelling. Develop your understanding of spatial analysis and modelling through spatial relationships and interpolation. The subject develops networks and terrain, then examines spatial statistics and model validation. Compare spatial models against a defined geographical question.
- Geospatial Programming and Databases. Study spatial queries and automation as foundations for geospatial programming and databases. The subject develops data formats and coordinate handling, then examines web mapping and reproducibility. Build a small spatial-data workflow using authorised datasets.
- Environmental Policy and Governance. Examine institutions, rights and duties and their relationship within environmental policy and governance. The subject develops policy instruments and participation, then examines compliance and accountability. Compare governance responses to a documented environmental problem.
- Environmental Impact Assessment. Develop your understanding of environmental impact assessment through project screening and baselines. The subject develops impact pathways and alternatives, then examines mitigation and monitoring. Develop an educational impact review for a defined proposed activity.
- Conservation Biology. Study biodiversity and threat assessment as foundations for conservation biology. The subject develops habitat and species protection, then examines conservation planning and monitoring. Develop a conservation case study using permissioned or public evidence.
- Data Visualisation and Communication. Examine visual encoding, chart selection and their relationship within data visualisation and communication. The subject develops accessibility and uncertainty, then examines dashboard design and narrative accuracy. Create visualisations for a defined analytical audience.
- Numerical Methods. Develop your understanding of numerical methods through approximation error and root finding. The subject develops interpolation and numerical integration, then examines differential-equation solvers and convergence. Compare numerical solutions at different resolutions and explain convergence.
- Research Methods. Study research questions and literature review as foundations for research methods. 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: Fieldwork and integrated project
- Supervised Field Investigation. Examine access permissions, sampling plans and their relationship within supervised field investigation. The subject develops field measurement and data quality, then examines site context and field reporting. Conduct an approved low-risk field investigation with qualified supervision.
- Project Development and Feasibility. Develop your understanding of project development and feasibility through problem definition and evidence review. 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. Study workplace roles and approved task planning as foundations for supervised workplace learning. 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. Examine implementation, evidence collection and their relationship within 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: concept tests, data-analysis exercises and evidence-based case reports using Southern African examples.
- Practical observations, field or laboratory records and an individual explanation of methods, uncertainty and results.
- An applied investigation with a report and presentation. Assessment weighting and progression remain subject to BMIT approval.
Practical application
Learners need GIS and image-processing software, suitable datasets and supervised field verification. Projects should record data permissions, coordinate reference systems and processing steps. Field access and drone use, if involved, require separate authorisation. A polished map should never substitute for accuracy assessment or an explanation of uncertainty.
Subject descriptions
Select a subject to read its learning outcomes, main topics, practical task and assessment.
Stage 1: Scientific and geographical 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.
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.
Linear Algebra
Develop your understanding of linear algebra through vectors and matrices. 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.
Applied Statistics
Study descriptive measures and probability as foundations for applied statistics. 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.
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.
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.
Ecology
Develop your understanding of ecology through populations and communities. The subject develops ecosystems and energy flows, then examines species interactions and ecological evidence. Analyse an approved field observation or ecological dataset.
Learning outcomes
- Explain populations and communities using an appropriate example.
- Analyse a subject-related problem involving ecosystems and energy flows.
- Present reasoned evidence addressing species interactions and ecological evidence.
Main topics
- Populations
- Communities
- Ecosystems
- Energy flows
- Species interactions
- Ecological evidence
Practical task
Analyse an approved field observation or ecological dataset.
Assessment
Submit an ecological interpretation with sampling limits.
Climate and Environmental Change
Study weather systems and climate variability as foundations for climate and environmental change. The subject develops climate evidence and impacts, then examines adaptation and uncertainty. Interpret regional climate information and compare adaptation choices.
Learning outcomes
- Explain weather systems and climate variability using an appropriate example.
- Analyse a subject-related problem involving climate evidence and impacts.
- Present reasoned evidence addressing adaptation and uncertainty.
Main topics
- Weather systems
- Climate variability
- Climate evidence
- Impacts
- Adaptation
- Uncertainty
Practical task
Interpret regional climate information and compare adaptation choices.
Assessment
Submit a climate-risk and adaptation brief.
Academic and Professional Communication
Examine reading strategies, evidence use and their relationship within academic and professional communication. 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.
Digital Information Skills
Develop your understanding of digital information skills through file organisation and word processing. The subject develops spreadsheets and online information, then examines account security and data integrity. Organise files and analyse a small dataset using common digital tools.
Learning outcomes
- Explain file organisation and word processing using an appropriate example.
- Analyse a subject-related problem involving spreadsheets and online information.
- Present reasoned evidence addressing account security and data integrity.
Main topics
- File organisation
- Word processing
- Spreadsheets
- Online information
- Account security
- Data integrity
Practical task
Organise files and analyse a small dataset using common digital tools.
Assessment
Submit a digital portfolio demonstrating accurate and responsible work.
Stage 2: Geospatial foundations
Engineering Surveying
Study measurement systems and levelling as foundations for engineering surveying. The subject develops coordinates and traversing, then examines setting-out concepts and survey accuracy. Complete supervised measurements at an approved teaching site.
Learning outcomes
- Explain measurement systems and levelling using an appropriate example.
- Analyse a subject-related problem involving coordinates and traversing.
- Present reasoned evidence addressing setting-out concepts and survey accuracy.
Main topics
- Measurement systems
- Levelling
- Coordinates
- Traversing
- Setting-out concepts
- Survey accuracy
Practical task
Complete supervised measurements at an approved teaching site.
Assessment
Submit field notes, calculations and an accuracy assessment.
Cartography and Geovisualisation
Examine scale, projection and their relationship within cartography and geovisualisation. The subject develops symbolisation and generalisation, then examines accessibility and map interpretation. Produce maps for different audiences from the same authorised dataset.
Learning outcomes
- Explain scale and projection using an appropriate example.
- Analyse a subject-related problem involving symbolisation and generalisation.
- Present reasoned evidence addressing accessibility and map interpretation.
Main topics
- Scale
- Projection
- Symbolisation
- Generalisation
- Accessibility
- Map interpretation
Practical task
Produce maps for different audiences from the same authorised dataset.
Assessment
Submit a map portfolio and design rationale.
Geographical Information Systems
Develop your understanding of geographical information systems through spatial data and coordinate systems. The subject develops spatial databases and geoprocessing, then examines map design and metadata. Create a documented map analysis using authorised geographical data.
Learning outcomes
- Explain spatial data and coordinate systems using an appropriate example.
- Analyse a subject-related problem involving spatial databases and geoprocessing.
- Present reasoned evidence addressing map design and metadata.
Main topics
- Spatial data
- Coordinate systems
- Spatial databases
- Geoprocessing
- Map design
- Metadata
Practical task
Create a documented map analysis using authorised geographical data.
Assessment
Submit map products and a reproducible workflow.
Programming Fundamentals
Study variables and control flow as foundations for programming fundamentals. 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.
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.
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.
Remote Sensing
Develop your understanding of remote sensing through sensors and spectral response. The subject develops image geometry and classification, then examines accuracy and environmental monitoring. Analyse public satellite imagery and evaluate a classification result.
Learning outcomes
- Explain sensors and spectral response using an appropriate example.
- Analyse a subject-related problem involving image geometry and classification.
- Present reasoned evidence addressing accuracy and environmental monitoring.
Main topics
- Sensors
- Spectral response
- Image geometry
- Classification
- Accuracy
- Environmental monitoring
Practical task
Analyse public satellite imagery and evaluate a classification result.
Assessment
Submit imagery outputs and an accuracy report.
Soil Science and Land Capability
Study soil formation and soil properties as foundations for soil science and land capability. The subject develops soil water and nutrients, then examines erosion and land capability. Describe approved soil samples and interpret a land-use case.
Learning outcomes
- Explain soil formation and soil properties using an appropriate example.
- Analyse a subject-related problem involving soil water and nutrients.
- Present reasoned evidence addressing erosion and land capability.
Main topics
- Soil formation
- Soil properties
- Soil water
- Nutrients
- Erosion
- Land capability
Practical task
Describe approved soil samples and interpret a land-use case.
Assessment
Submit a soil and land-capability report.
Water Resources Management
Examine catchments, water balance and their relationship within water resources management. The subject develops demand and allocation, then examines water quality and governance. Analyse a catchment teaching case with competing water uses.
Learning outcomes
- Explain catchments and water balance using an appropriate example.
- Analyse a subject-related problem involving demand and allocation.
- Present reasoned evidence addressing water quality and governance.
Main topics
- Catchments
- Water balance
- Demand
- Allocation
- Water quality
- Governance
Practical task
Analyse a catchment teaching case with competing water uses.
Assessment
Submit a resource-allocation and monitoring proposal.
Stage 3: Applied geospatial science
Spatial Analysis and Modelling
Develop your understanding of spatial analysis and modelling through spatial relationships and interpolation. The subject develops networks and terrain, then examines spatial statistics and model validation. Compare spatial models against a defined geographical question.
Learning outcomes
- Explain spatial relationships and interpolation using an appropriate example.
- Analyse a subject-related problem involving networks and terrain.
- Present reasoned evidence addressing spatial statistics and model validation.
Main topics
- Spatial relationships
- Interpolation
- Networks
- Terrain
- Spatial statistics
- Model validation
Practical task
Compare spatial models against a defined geographical question.
Assessment
Submit a model comparison and uncertainty discussion.
Geospatial Programming and Databases
Study spatial queries and automation as foundations for geospatial programming and databases. The subject develops data formats and coordinate handling, then examines web mapping and reproducibility. Build a small spatial-data workflow using authorised datasets.
Learning outcomes
- Explain spatial queries and automation using an appropriate example.
- Analyse a subject-related problem involving data formats and coordinate handling.
- Present reasoned evidence addressing web mapping and reproducibility.
Main topics
- Spatial queries
- Automation
- Data formats
- Coordinate handling
- Web mapping
- Reproducibility
Practical task
Build a small spatial-data workflow using authorised datasets.
Assessment
Submit code, data documentation and validation checks.
Environmental Policy and Governance
Examine institutions, rights and duties and their relationship within environmental policy and governance. The subject develops policy instruments and participation, then examines compliance and accountability. Compare governance responses to a documented environmental problem.
Learning outcomes
- Explain institutions and rights and duties using an appropriate example.
- Analyse a subject-related problem involving policy instruments and participation.
- Present reasoned evidence addressing compliance and accountability.
Main topics
- Institutions
- Rights and duties
- Policy instruments
- Participation
- Compliance
- Accountability
Practical task
Compare governance responses to a documented environmental problem.
Assessment
Submit an evidence-based policy analysis.
Environmental Impact Assessment
Develop your understanding of environmental impact assessment through project screening and baselines. The subject develops impact pathways and alternatives, then examines mitigation and monitoring. Develop an educational impact review for a defined proposed activity.
Learning outcomes
- Explain project screening and baselines using an appropriate example.
- Analyse a subject-related problem involving impact pathways and alternatives.
- Present reasoned evidence addressing mitigation and monitoring.
Main topics
- Project screening
- Baselines
- Impact pathways
- Alternatives
- Mitigation
- Monitoring
Practical task
Develop an educational impact review for a defined proposed activity.
Assessment
Submit an assessment report distinguishing evidence from assumptions.
Conservation Biology
Study biodiversity and threat assessment as foundations for conservation biology. The subject develops habitat and species protection, then examines conservation planning and monitoring. Develop a conservation case study using permissioned or public evidence.
Learning outcomes
- Explain biodiversity and threat assessment using an appropriate example.
- Analyse a subject-related problem involving habitat and species protection.
- Present reasoned evidence addressing conservation planning and monitoring.
Main topics
- Biodiversity
- Threat assessment
- Habitat
- Species protection
- Conservation planning
- Monitoring
Practical task
Develop a conservation case study using permissioned or public evidence.
Assessment
Submit a conservation proposal with measurable indicators.
Data Visualisation and Communication
Examine visual encoding, chart selection and their relationship within data visualisation and communication. The subject develops accessibility and uncertainty, then examines dashboard design and narrative accuracy. Create visualisations for a defined analytical audience.
Learning outcomes
- Explain visual encoding and chart selection using an appropriate example.
- Analyse a subject-related problem involving accessibility and uncertainty.
- Present reasoned evidence addressing dashboard design and narrative accuracy.
Main topics
- Visual encoding
- Chart selection
- Accessibility
- Uncertainty
- Dashboard design
- Narrative accuracy
Practical task
Create visualisations for a defined analytical audience.
Assessment
Submit a visual report and explain how misleading interpretations were avoided.
Numerical Methods
Develop your understanding of numerical methods through approximation error and root finding. The subject develops interpolation and numerical integration, then examines differential-equation solvers and convergence. Compare numerical solutions at different resolutions and explain convergence.
Learning outcomes
- Explain approximation error and root finding using an appropriate example.
- Analyse a subject-related problem involving interpolation and numerical integration.
- Present reasoned evidence addressing differential-equation solvers and convergence.
Main topics
- Approximation error
- Root finding
- Interpolation
- Numerical integration
- Differential-equation solvers
- Convergence
Practical task
Compare numerical solutions at different resolutions and explain convergence.
Assessment
Submit code, numerical results and an error discussion.
Research Methods
Study research questions and literature review as foundations for research methods. 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.
Stage 4: Fieldwork and integrated project
Supervised Field Investigation
Examine access permissions, sampling plans and their relationship within supervised field investigation. The subject develops field measurement and data quality, then examines site context and field reporting. Conduct an approved low-risk field investigation with qualified supervision.
Learning outcomes
- Explain access permissions and sampling plans using an appropriate example.
- Analyse a subject-related problem involving field measurement and data quality.
- Present reasoned evidence addressing site context and field reporting.
Main topics
- Access permissions
- Sampling plans
- Field measurement
- Data quality
- Site context
- Field reporting
Practical task
Conduct an approved low-risk field investigation with qualified supervision.
Assessment
Submit field records, analysed evidence and a site-context report.
Project Development and Feasibility
Develop your understanding of project development and feasibility through problem definition and evidence review. 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
Study workplace roles and approved task planning as foundations for supervised workplace learning. 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
Examine implementation, evidence collection and their relationship within 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
