Advanced Data Analytics

Cod y Modiwl
CSM6720
Teitl y Modiwl
Advanced Data Analytics
Blwyddyn Academaidd
2027/2028
Semester
Semester 2
Cyd-gysylltydd y Modiwl
Dr Otar Akanyeti
Rhestr Ddarllen
Gweld ar Aspire
Rhagofynion

Available to MSc students only
Staff Eraill sy'n Cyfrannu
Dr David Jones
Dr Otar Akanyeti

Dulliau Asesu

Math o Asesiad

Manylion Asesiad

Cyfran
Asesiad Semester Practical assignment and report: with accompanying source code and data. 4000 Words 50%
Arholiad Semester Written examination: 2 Awr 50%
Asesiad Ailsefyll Practical assignment and report: with accompanying source code and data. 4000 Words 50%
Arholiad Ailsefyll Written examination: 2 Awr Students must resit failed examination and/or resubmission of failed/non-submitted assignment work. 50%

Canlyniadau Dysgu

Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:

  1. Design and implement a NoSQL database with one or more data models
  2. Design, perform, visualise and report exploration and analysis of data-set.
  3. Identify and evaluate the essential concepts behind a variety of NoSQL data models, including key-value, document oriented and graph data models.
  4. Identify potential security, ethics and data management issues raised by the use of computerised data storage and processing and suggest mitigating strategies.

Disgrifiad cryno

In order to model the wide variety of phenomena that modern data analysts are expected to cover it is important to be able to understand a wide variety of different data storage methods and data models. This module will cover the essential concepts behind modern database models known as NoSQL. We will cover the process of data analytics from initial data modelling through storage, clearing, retrieval, processing, visualising and analysis of a variety of different data models. In addition we will cover technical, legal and ethical issues associated with data collection and storage.

Nod

This module teaches core data preparation, exploration and analysis for machine learning and data analysis.
This module teaches practical data handling, preparation and storage techniques.
This module covers technical, legal and ethical issues associated with data collection and storage.

Cynnwys

1. NoSQL. Using a NoSQL data management system. Querying an existing NoSQL database. Exploring alternative NoSQL data models.

2. Modelling, securing and processing of data. Designing a NoSQL data model, implementing the model and querying the resulting NoSQL database.

3. Data analytics, visualisation and data mining.

4. Vulnerabilities, procedural and technical factors, threat analysis and mitigation.

5. Choosing the 'right' data management system. Evaluating alternative data management systems in terms of data domain, model and project requirements.

Sgiliau Modiwl

Math o Sgiliau

Manylion Sgiliau
Cyfathrebu Through assignment
Datblygu personol a chynllunio gyrfa Encourages students to see roles in subject for career and personal development
Datrys Problemau Inherent to subject
Gwella dysgu a pherfformiad ei hun Inherent to subject
Rhifedd Inherent to subject
Sgiliau pwnc penodol Technical skills related to applying emerging data management systems to problems involving massive volumes of data and high transaction rates.
Sgiliau ymchwil Inherent to subject
Technoleg Gwybodaeth Technical skills related to applying emerging data management systems to problems involving massive volumes of data and high transaction rates.

Nodau

Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 7