Course summary

In this course you have seen how technology can be used to assist in the decision-making process.

Much of computer science is concerned with understanding problems that occur in the real world and trying to find a solution to them and you have seen that the impact of the application of technology to decision-making is extensive.

We covered two technology-assisted decision-making techniques in this course:

• You learnt about graph theory and solved a spanning tree problem using Kruskal’s algorithm.
• You learnt how to help optimise production using linear optimisation.

Course learning objectives: Recap

You should be able to:

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

One last thought

It’s worth leaving you with this thought: the process we looked at in this course for solving linear programmes is ranked in the top 10 most influential algorithms and is used in almost every sector of industry; so it’s well worth knowing about!

Good luck with the assessment

We hope you enjoyed learning with us. Good luck with the assessment! Remember the pass mark is 70% and you can attempt it as many times as you like.

How has this course supported you? 

Now you have almost completed the course, it’s a good time to consider how your knowledge, confidence and aspirations have changed. Please answer this short end-of-course survey. It includes some prompts to help your reflection and will help us improve and evidence the impact of the course. 

Note: this optional survey does not affect your completion of the course. Further detail on how we (University of Leeds) use survey responses is included at the start of the survey and in this Privacy Notice.