Introduction to Technology-Assisted Decision-Making

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.

This course is one of a collection designed to help young people improve their digital skills and explore a career in tech. This course is ideal for those aged 16-30 looking for an introduction to Technology-Assisted Decision-Making to plan their career route and for those who are looking to switch careers.

This course is one of a collection designed to help young people improve their digital skills and explore a career in tech. This course is ideal for those aged 16-30 looking for an introduction to Technology-Assisted Decision-Making to plan their career route and for those who are looking to switch careers.

• Explain what technology-assisted decision-making is, and what it is used for.
• Model a specific decision-making problem as a graph theory problem.
• Apply a simple procedure to solve a decision-making problem, using Kruskal’s algorithm.
• Assess the criteria and constraints in a decision-making process using linear optimisation.
• Model specific scenarios as a linear optimisation problem.
• Apply linear programming to optimise a two variable linear optimisation problem.