Module specification 

Credits: 10 ECTS

Useful Links:

http://www.oracle-dba-online.com/sql/oracle_sql_tutorial.htm 

https://www.tutorialspoint.com/sql/ 

https://livesql.oracle.com/apex/livesql/file/index.html  

Module specification

Credits: 5 ECTS

Module specification

Credits: 10 ECTS

Books:

1. Machine Learning with R: https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-r 

2. Intro Statistical Learning: https://www.statlearning.com 

3. Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition, by Andreas C. Müller, Sarah Guido

Blogs and Websites:

1. A Friendly Introduction to Machine Learning: https://www.youtube.com/watch?v=IpGxLWOIZy4 

2. A Visual Introduction to Machine Learning: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/  

3. An Introduction to Machine Learning: https://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer  

4. TensorFlow playground: http://playground.tensorflow.org 

5. Simple intro to Machine Learning: https://martechtoday.com/how-machine-learning-works-150366  

6. Machine Learning Mastery Blog: http://machinelearningmastery.com/blog/ 

7. Edwin ChenBlog: http://blog.echen.me/ 

Apps and Tutorials:

R:

http://www.r-tutor.com/r-introduction  

http://www.cyclismo.org/tutorial/R/  

Module specification

Credits: 5 ECTS

Module specification

Credits: 5 ECTS

Useful information:

This module does not have any specific prerequisites, however some background knowledge of data protection legislation and an interest in some of the key ethical debates in data science and machine learning would be useful. 

Suggested Reading:

What is Data Management?

https://www.dataversity.net/what-is-data-management/#

Overview of the General Data Protection Regulation (GDPR)

https://www.citizensinformation.ie/en/government_in_ireland/data_protection/overview_of_general_data_pr otection_regulation.html

World Economic Forum - How to Prevent Discriminatory Outcomes in Machine Learning

3 

http://www3.weforum.org/docs/WEF_40065_White_Paper_How_to_Prevent_Discriminatory_Outcomes_in_ Machine_Learning.pdf

Spark Podcast - AI's problem with disability and diversity

https://www.cbc.ca/radio/spark/362-machine-learning-outliers-smart-device-ownership-and-more-1.427943 3/ai-s-problem-with-disability-and-diversity-1.4279444

Core texts:

O’Keefe, K. and O’Brien, D. (2018) Ethical Data and Information Management: Concepts, Tools and Methods (1st. ed.). Kogan Page Ltd., GBR.

DAMA International (2017) DAMA DMBOK, DAMA DMBOK – Data Management Body of Knowledge, Technics Publications, New Jersey