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  2. Computational thinking - Wikipedia

    en.wikipedia.org/wiki/Computational_thinking

    The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...

  3. Algorithmic accountability - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_accountability

    Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes. [ 1 ] Ideally, algorithms should be designed to eliminate bias from their decision-making outcomes.

  4. Analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_algorithms

    The analysis of the former and the latter algorithm shows that it takes at most log 2 n and n check steps, respectively, for a list of size n. In the depicted example list of size 33, searching for "Morin, Arthur" takes 5 and 28 steps with binary (shown in cyan) and linear (magenta) search, respectively.

  5. Business analysis - Wikipedia

    en.wikipedia.org/wiki/Business_Analysis

    Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.

  6. Automated decision-making - Wikipedia

    en.wikipedia.org/wiki/Automated_decision-making

    Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...

  7. A3 problem solving - Wikipedia

    en.wikipedia.org/wiki/A3_Problem_Solving

    Example of a worksheet for structured problem solving and continuous improvement. A3 problem solving is a structured problem-solving and continuous-improvement approach, first employed at Toyota and typically used by lean manufacturing practitioners. [1] It provides a simple and strict procedure that guides problem solving by workers.

  8. The Design of Business - Wikipedia

    en.wikipedia.org/wiki/The_Design_of_Business

    The Design of Business: Why Design Thinking is the Next Competitive Advantage is a 2009 book by Roger Martin, Dean of the University of Toronto's Rotman School of Management. [1] In the book, Martin describes the concept of design thinking, and how companies can incorporate it into their organizational structure for long term innovation and ...

  9. Algorithmic Puzzles - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_Puzzles

    Reviewer Narayanan Narayanan recommends the book to any puzzle aficionado, or to anyone who wants to develop their powers of algorithmic thinking. [4] Reviewer Martin Griffiths suggests another group of readers, schoolteachers and university instructors in search of examples to illustrate the power of algorithmic thinking. [3]