Normal view MARC view ISBD view

An investigation of pre and post-enrolment student data for indicators of risk of non-progression in the Institute of Technology Carlow.

By:

Material type: Text

TextSeries: Institute of Technology CarlowCarlow 2018Description: 83 leaves & appendices : illSubject(s):

DDC classification:

Dissertation note: Thesis (MSc) -- Submitted in partial fulfillment of the requirements for the degree of Master of Science in Data Science.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Carlow Campus Library Theses Collection	M296 (Browse shelf(Opens below))	1	Available		85120

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	M293 Performance analysis of Hadoop on VMs and containers to solve the travelling salesman problem.	M294 DNA microarray analysis and data visualisation for the detection of genetic variance in endothelial-progenitor cell populations and in the disease classification of diabetes sufferers.	M295 Pattern recognition of movement through machine learning : utilisation of machine learning to identify defined ballet dance positions in a ballet movement dictionary.	M296 An investigation of pre and post-enrolment student data for indicators of risk of non-progression in the Institute of Technology Carlow.	M297 Comparison of regression algorithms by predicting average temperature and humidity.	M298 Comparing the performance of deep learning and machine learning models for recognizing human physical activity.	M299 Can data analysis techniques be applied to historical data to provide quantitative short term weather predictions?	Next

Thesis (MSc) -- Submitted in partial fulfillment of the requirements for the degree of Master of Science in Data Science.

Open access - item available at main desk.