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Structured analytic techniques

  • Class 30
  • Practice 30
  • Independent work 60
Total 120

Course title

Structured analytic techniques

Lecture type

Elective

Course code

21-02-514

Semester

2

ECTS

4

Lecturers and associates

Course overview

If we want to solve problems, either individual or nation-wide, we need to learn how to identify and break down restrictive mental circuits and give full and serious attention to alternative solutions. In other words, we must learn to be open to new insights. It should be noted that structuring is not a substitute for thinking but a means that allows and empowers thinking.
It is important for students to take this module in order to sift through infinite amount of information available today. In many fields, analysts are necessary to provide the most accurate and streamlined data for decision makers.

The objectives of this module are to enable students to:
• Learn a variety of analytic techniques that can be used throughout the analysis framework (analysis, synthesis, and estimation) in order to define an intelligence problem
• Learn how to overcome cognitive limitations by taking them through a process that generates more imaginative thought
• Identify assumptions (both realized and unrealized) regarding a particular problem set and provides them with various methods for determining whether or not those assumptions are valid.

Students learn to apply structured analytical techniques to overcome cognitive limitations and instinctive mental traits in decision-making and business decision making. Students will learn the role risk assessments, data gathering and data dissemination, pointing out overall importance of analytical techniques to policymaking and uses critical exercises and case studies for student development.

Literature

Essential reading:
1. Algebra University College (2020), Social Network Analysis Handbook, Zagreb: Algebra University College

Recommended reading:
1. Richards, J.H., Pherson, R.H. (2010) Structured Analytical Techniques For Intelligence Analysis, Washington D.C.: CQ Press
2. Miller Beebe, S., Pherson R.H. (2011) Cases in Intelligence Analysis: Structured Analytical Techniques in Action, Washington D.C.: CQ Press

Minimal learning outcomes

  • Name and explain most frequent structured techniques.
  • Identify scenario to be tackled by decomposition and visualization.
  • Interpret basic indicators used within analytical techniques.
  • Interpret basic hypotheses development techniques
  • Define steps in practical application of a particular cause and effect assessment method.

Preferred learning outcomes

  • Evaluate the reasons for introducing structured techniques.
  • Argue the opinion in practical problem solving by decomposition and visualization.
  • Argue the opinion in the practical solution of various problems with scenarios and indicators
  • Argue the opinion in the practical solution of various problems by generating hypotheses.
  • Critically evaluate the practical application of a particular cause and effect assessment method.
Preuzmi vodič za studente
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