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Machine learning - MA (20-21)
Class
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Eugenio Clavijo
About
The course introduces the study of Artificial Intelligence (AI) for students in all course streams. It is designed to stand alone as an introduction to AI, but also to provide a background for more advanced study.
Level 6 (Year 4)
Credits: 10
Module leader: Eugenio Clavijo
Office hour: 10 am Monday
Google meet class: http://meet.google.com/qen-ysvn-vcj
Assessment methods
- A1.Final Project (100% Coursework)
Please finde the marking grid in the attached file: Marking_Grids_A1_2020.pdf
Learning Outcome
At the end of the module you will be able to:
LO1. Capability to understand the basic operation principles of Machine Learning main techniques, and to know how to use on the environment of an intelligent system or service (Summative Assessment 1)
LO2. Capability to solve the decision-making problems from different organizations, integrating intelligent tools (Summative Assessment 1)
LO3. Learn how to solve a problem using the most common machine learning techniques for unsupervised and supervised tasks. (Summative Assessment 1)
For more detail, please see the attached MSG: