University of Leeds
Introduction to Technology-Assisted Decision-Making

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University of Leeds

Introduction to Technology-Assisted Decision-Making

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Sam Wilson
Click Start

Instructors: Sam Wilson

Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the concept of technology-assisted decision-making and the associated terminology within the field.

  • Demonstrate the ability to formulate optimisation problems as mathematical models and apply diverse techniques for their resolution.

  • Understand the applications of optimisation including resource allocation, production planning, transportation, scheduling, and network optimisation.

Details to know

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Recently updated!

December 2023

Assessments

1 quiz, 1 assignment

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There are 2 modules in this course

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!

What's included

2 videos21 readings1 quiz4 discussion prompts

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!

What's included

3 videos17 readings1 assignment3 discussion prompts

Instructors

Sam Wilson
University of Leeds
4 Courses3,270 learners

Offered by

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