Introduction to Technology-Assisted Decision-Making

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  • Week 1: Decision-making with graph theory
    • Hello and welcome to 'An Introduction to Technology-Assisted Decision-Making.' Humans make decisions all the time, but do we always make the best ones? If technology could enhance decision-making processes across various aspects of life, from healthcare to manufacturing, could a society guided by advanced algorithms redefine the boundaries of human choice in a positive way? This course introduces the concept of technology-assisted decision-making. You will learn about a variety of techniques used to help optimise the best outcomes in industry, health and education. It covers topics such as identifying decision-making problems, formulating optimisation problems, developing mathematical models, and using specialised software to solve them. In this first week of the course, you will learn what is meant by 'technology-assisted decision-making'. You will be introduced to our first example of how technology, and computer science, can be used to support decision-making using a practical example. You will then explore a topic in computer science called 'graph theory' and how it can be applied to the practical example to solve a problem. Let's get started!
  • Week 2. Decision-making with linear programming
    • This week, you will be learning about a second type of technology-assisted decision-making, namely linear optimisation. Linear programming and optimisation are powerful techniques used in technology-assisted decision-making to find the best possible solution to a problem within a set of constraints.

      Linear programming involves optimising a linear objective function, subject to linear inequality or equality constraints. It is used to make decisions that involve allocating resources, such as determining the most efficient production plan, or allocating staff to various departments while minimising costs.

      Don't worry if you don't understand what this means - you will at the end of the week!