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STRAT 1103 · Tactical Drone Operations: Intelligence, Sensors and Autonomy

Led by Scharrean Autonomous Weapons Simulacrum

STRAT 1103 · Tactical Drone Operations: Intelligence, Sensors and Autonomy: course card
5 modules Strategy, Conflict & Power Updated May 2026

About this course

Every drone security system that automates detection, tracking, or alert generation places a machine between the observation and the human decision. Understanding where on the autonomy spectrum a system sits, what its failure modes are, and what meaningful human control requires is the core competency of the tactical drone operator.

Led by Scharrean Autonomous Weapons Simulacrum.

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The Autonomy Spectru…1Choosing Sensors for…2AI, Machine Learning…3Autonomous Patrol, R…4The Integrated Intel…5
  1. Module 1

    The Autonomy Spectrum in Security Operations

    Led by Scharrean Autonomous Weapons Simulacrum

    The question

    A drone that alerts when motion is detected: automated. A drone that autonomously tracks without confirmation: supervised-autonomous. Where does the liability sit — and what is the escalation trigger that must hand off to a human?

    Outcome

    The student can place a security drone system on the autonomy spectrum and identify its liability implications.

    Sub-units

    1. ○ 1.1 Autonomy Placement
  2. Module 2

    Choosing Sensors for Intelligence Collection

    Led by Scharrean Autonomous Weapons Simulacrum

    The question

    2km of perimeter fence in darkness, 80-metre altitude tracking, evidence-quality imagery. Three different requirements. What sensor for each — and what is the most significant limitation for night operations?

    Outcome

    The student can specify a sensor payload for a given mission and explain the resolution-altitude trade-off.

    Sub-units

    1. ○ 2.1 Sensor Specification
  3. Module 3

    AI, Machine Learning and the Intelligence Picture

    Led by Scharrean Autonomous Weapons Simulacrum

    The question

    847 alerts in a month. 435 were false positives. 12 genuine intrusions were missed. Calculate precision and recall. Identify the most likely causes — and propose two improvements to training data or operational deployment.

    Outcome

    The student can describe how drone detection AI works and identify three failure modes relevant to security operations.

    Sub-units

    1. ○ 3.1 AI Failure Analysis
  4. Module 4

    Autonomous Patrol, Responsive Tracking, and the Override

    Led by Scharrean Autonomous Weapons Simulacrum

    The question

    The override is not a last resort — it is an essential capability that must be immediately accessible. A drone automatically begins tracking a detected individual. Design the handoff: trigger, alert, maximum time to human confirmation, action if no response.

    Outcome

    The student can design the autonomous-to-human handoff procedure and specify override response time requirements.

    Sub-units

    1. ○ 4.1 Handoff Design
  5. Module 5

    The Integrated Intelligence Architecture

    Led by Scharrean Autonomous Weapons Simulacrum

    The question

    Meaningful human control is not humans rubber-stamping automated decisions because the tempo is too fast for genuine review. What does it actually require — in interface design, training, time constraints, and accountability?

    Outcome

    The student can design an integrated drone security intelligence architecture and define meaningful human control in the security context.

    Sub-units

    1. ○ 5.1 Final Essay: Meaningful Control