Programs

Data Science

Structured Analytical Techniques

  • Class 30
  • Practice 30
  • Independent work 120
Total 180

Course title

Structured Analytical Techniques

Lecture type

Elective

Course code

20-02-037

Semester

3

ECTS

6

Lecturers and associates

Course objectives

This course enables students to apply structured analytical techniques to overcome cognitive limitations and instinctive mental traits in decision-making and business decision making. 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.

Content

Introduction lecture. Introduction to structured analytical techniques. Structured Techniques: Decomposition and Visualization. Structured Techniques: Scenarios and Indicators. Structured techniques: Recapitulation of teaching contents through case analysis. Structured Techniques: Generating and Testing Hypotheses. Structured Techniques: Causes and Consequences.

Required reading

Course handbook prepared and printed by Algebra University College

Minimal learning outcomes

  • Critically evaluate analytical errors and analytical failure.
  • Recommend methods for solving business problems by decomposing and visualizing.
  • Recommend resolving different business issues with scenarios and indicators.
  • Recommend resolving different problems by generating a hypothesis.
  • Choose the appropriate application of a specific method of estimating causes and consequences.

Preferred learning outcomes

  • Evaluate the reasons for introducing structured techniques.
  • Arguing the idea of practical problem solving by decomposing and visualization.
  • Arguing an opinion on the practical resolution of different problems using scenarios and indicators.
  • Arguing the opinion of practically solving different problems by generating a hypothesis.
  • Critically evaluate the practical application of a certain method of estimating causes and consequences.
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