INTV350 Collection Operations


Course Description

INTV350 will provide students with an overview of the major intelligence disciplines: including Signals Intelligence (SIGINT), Human Intelligence (HUMINT), Geospatial Intelligence (GEOINT), Measurements and Signatures Intelligence (MASINT), and Open Source Intelligence (OSINT). Students will use a combination of research and practical exercises to determine the capabilities and limitations of each discipline to confirm or deny specific information requirements independently.

Learning Outcomes

Upon completion of this course students will be able to:

  • Understand and examine how collection fits into the Intelligence Cycle and how it contributes to the creation of the different types of finished Intelligence products.
  • Classify the different categories of targets and explain how each may require different mix of collection disciplines and approaches.
  • Examine and evaluate how U.S. space situational awareness capabilities are used to accurately understand foreign space assets and their associated intelligence collection capabilities.
  • Examine and evaluate the capabilities and limitations of each collection discipline and what each contributes to the Intelligence effort.

Course Objectives

During this course students will:

  • Examine and evaluate the observable phenomenology of various targets.
  • Research and describe the technical capabilities and limitations of each Intelligence collection discipline.
  • Identify and describe which Intelligence disciplines are best at answering specific information requirements based on a target’s observable phenomenology.
  • Analyze different collection scenarios to determine how multidiscipline collection is used to ensure information requirements are fully satisfied.