Introduction to Technology-Assisted Decision-Making

Enhance your decision-making skills with technology-assisted techniques to optimise outcomes in healthcare, industry, and education with this online course from University of Leeds.

Duration

2 weeks

Weekly study

3 hours

100% online

How it works

Digital upgrade

Free

Delve into different decision-making techniques

Humans make countless decisions daily, but do we always make the best ones? Imagine if technology could enhance our decision-making processes across various fields, from healthcare to manufacturing.

This two-week course introduces the concept of technology-assisted decision-making, teaching you techniques to optimise outcomes in industry, health, and education.

You’ll explore fundamental concepts and applications of technology-assisted decision-making, such as resource allocation, production planning, and network optimisation. You’ll also gain practical skills to help you to solve real-world problems effectively.

Gain an understanding of graph theory

You’ll start by identifying decision-making problems and how specialised software can be used to solve them.

Next, you’ll be introduced to the first example of how technology and computer science can be used to support decision-making. Using a practical example, you’ll explore how ‘graph theory’ can help solve problems.

Learn how to use linear programming

Next, you’ll delve into a second type of technology-assisted decision-making – linear optimisation.

Linear programming and optimisation are powerful techniques used to find the best possible solution to a problem within a set of constraints.

On the course, you’ll discover how it’s used to make decisions that involve allocating resources, such as determining the most efficient production plan or assigning staff to various departments while minimising costs.

Advance your knowledge of technology-assisted decision-making with the University of Leeds

Throughout the course, you’ll be guided by the experts at the School of Computing at the University of Leeds.

By the end, you’ll know how to enhance your decision-making skills with cutting-edge technologies.

  • Week 1

    Decision-making with graph theory

    • Course Introduction

      Explore how technology can enhance decision-making in healthcare and manufacturing. Learn to optimise outcomes, starting with an introduction to technology-assisted decision-making, practical examples, and graph theory.

    • What is technology-assisted decision-making?

      Learn what technology-assisted decision-making is and why it's important. Understand how computer tools enhance human decisions. By the end, you'll be able to explain technology-assisted decision-making, recognize its benefits, an

    • A case study: Introducing GigaFibre

      Explore a case study of GigaFibre, a fictional company facing real-world challenges. Understand their decision-making problem and solve it using simple calculations. Learn techniques to aid in their decision-making.

    • Using graph theory in decision-making

      Discover a quick method for solving decision-making problems using graph theory. Learn basic concepts, apply Kruskal's algorithm to real-world problems, and explain how to demonstrate its correctness.

  • Week 2

    Decision-making with linear programming

    • The bakery problem and linear optimization

      Use math to make the best choice! Turn bakery ingredients into maximum profit. This is called optimization. Learn how businesses use math to solve real-world problems.

    • Optional - Give it a go

      Dive into linear programming! Solve problems with two unknowns to find the best outcome. Also, try tricky look-alike problems.

    • Course Summary

      Reflect on how technology-assisted decision-making, including techniques like graph theory and linear optimization, is used across different sectors and consider its future impact on your career.

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