Start with a project. Grow a learnable technology tree.
BIAA turns a science and technology project into a sequenced map of hardware, software, AI, engineering, safety and evidence modules—so a learner or team knows what to learn next and why.
Choose a whole project or one team role, then follow the required modules from foundations to integration.- 01Question
- 02Build
- 03Test
- 04Explain
Courses stop being a menu and become a technology tree for the project.
Starting from the goal, constraints and system boundary, BIAA turns a project into sequenced, assignable and testable learning modules. Every node states why it matters, what comes first, what to build and what counts as evidence.
Explore 9 project technology trees- 01MechanicsLEARNING NODE
- 02ElectronicsLEARNING NODE
- 03SoftwareLEARNING NODE
- 04AI & autonomyLEARNING NODE
- 05Test & safetyLEARNING NODE
- 01Define the project
- 02Generate the tech tree
- 03Choose a role and learn
- 04Integrate and verify
We do not teach technology as a list of buzzwords. Learners turn a real question into something they can test, explain and improve.
BIAA brings an academy, a project-based learning platform and an innovation lab into one system. Programmes build capability, challenges build collaboration, and academy prototypes such as Pipe Coding connect technology to the real world.
Understand the BIAA model ↗Clear stages. Open directions.
Enter through an interest. Connect disciplines through a project.
09 programme directions
Robotics
Mechanics, electronics, sensing, control and iterative testing.
Coding
From computational thinking to readable, testable programs.
Artificial Intelligence
Data, models, evaluation, creative use and responsible limits.
Applied Science
Investigate observable phenomena through controlled tests.
Engineering Design
Define needs, compare ideas, prototype and justify decisions.
Drones & Autonomy
Flight physics, sensing, autonomy and safety boundaries.
IoT & Smart Systems
Connect sensors, code and interfaces into a reliable system.
Research & Innovation
Frame a tractable question and communicate defensible evidence.
Interdisciplinary Capstone
Bring science, engineering, code and communication together.
Take code into a real system.
Pipe Coding is BIAA’s infrastructure robotics learning project. Guardian and pipeline-drone material is reframed as academy prototypes and research directions, with a clear distinction between concepts, research evidence and verified outcomes.
Enter Pipe Coding ↗Technology becomes meaningful when it has a job to do
Learners do more than follow software instructions. They connect code, mechanisms, data and scientific reasoning to a visible problem, then improve the result through testing.
- 01Start with a question worth investigating
- 02Make thinking visible in sketches, code and build notes
- 03Use failures as evidence for the next iteration
Six connected learning directions
Robotics, coding, artificial intelligence, applied science, engineering design and smart systems form one connected studio rather than isolated subjects.
- 01Move from screen-based logic to physical systems
- 02Combine scientific inquiry with engineering choices
- 03Treat AI as a system to understand, evaluate and use responsibly
A portfolio records the process, not just the final object
BIAA’s content model centres on documented artefacts: questions, plans, code, observations, test results and reflection. No page promises awards, certification or outcomes that have not been verified.
- 01Learning criteria are visible before a project begins
- 02Safety and ethics are included in project reviews
- 03Next steps follow the evidence collected
Explore project learning
Choose a whole project or one team role, then follow the required modules from foundations to integration.