Reaching Efficient Solutions with Computational Thinking


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Computational thinking is a structured way to understand and solve the kind of complex problems facing most organizations today. First developed in conjunction with developing computer systems, it can be applied to many situations, both computerized and not. And it can help determine the right types of computer and human actions to apply in order to solve a problem.

In this course, you’ll learn the characteristics of computational thinking, including problem expression, as well as of its core techniques, such as decompositions and pattern recognition. You’ll also learn how abstraction is used in logical problem solving to build algorithms that create and evaluate business solutions.



Expected Duration (hours)
0.4

Lesson Objectives

Reaching Efficient Solutions with Computational Thinking

  • Reaching Efficient Solutions with Computational Thinking
  • identify the characteristics of computational thinking
  • identify how to perform decomposition in computational thinking
  • recognize methods for pattern recognition in computational thinking
  • identify techniques for using abstraction in computational thinking
  • recognize a properly executed process for building an algorithm
  • identify methods for evaluating the efficiency of solutions in computational thinking
  • Knowledge Check: Computational Thinking
  • Course Number:
    bs_dgt22_a01_enus

    Expertise Level
    Everyone