KL7012 - Statistical Programming

The module includes a combination of methods to support learning, including lectures and computer assisted seminars allowing you to put the theory from lectures into practice. Topics will normally be introduced in lectures and explored through real world examples and practical exercises (helping you develop the knowledge and understanding needed) and guided learning activities. You will be encouraged to develop independent learning skills to explore further in the subject area and take benefit from Northumbria University’s Enterprise Data Analytic Clinic and Institute of coding.

You will be given advice and feedback on your work and progress during the timetabled classes. In addition, the eLP (electronic learning portal module) blackboard is used to provide extensive support materials.

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

Knowledge & Understanding:
1. Demonstrate deep knowledge and practical skills for understanding the statistical methods and techniques for data science

2. Critically assess application of adequate techniques for understanding and exploring business data and how it can be exploited for decision making with programming in R


Intellectual / Professional skills & abilities:
3. Appraise and Apply different statistical methods and techniques to real world business environment having to deal with and exploit huge volumes of data using R programming environment

4. Evaluate and reflect on solving real life business problems using suitable statistical techniques


Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
5. Build a critical awareness of legal, cultural and ethical issues surrounding analysis, exploration and dissemination of data

Formative assessment: Exercises provided and carried out within practical classes and workshops will build up to form a basis of the summative assessment. Feedback will be given during these practical classes and workshops and/or through discussions via email/blackboard forum.


Summative assessments: A written assignment (4000 words) comprising analysis of given data by using appropriate statistical techniques with programming in R for understanding and exploring business data and solving business decision problems (100%) and will test MLOs 1, 2, 3, 4 and 5.

Feedback: You will be given detailed feedback on the assignment clearly identifying both the weaknesses and strong points of the work.

An undergraduate degree with major in computing and information sciences or mathematical and statistical disciplines with applied computing components

None

The aim of this module is to provide you with the knowledge and practical skills for understanding the statistical methods and programming for data science. The module combines both theoretical and practical approaches so that you will have the skills to tackle problems in various realistic business settings. It equips you with programming skills in R for effective, efficient statistical data analysis. This module includes a combination of methods to support learning, including lectures and computer assisted seminars allowing you to put the theory from lectures into practice. Topics will normally be introduced in lectures and explored through real world examples and practical exercises (helping you develop the knowledge and understanding needed) and guided learning activities. You will be encouraged to develop independent learning skills to explore further in the subject area and take benefit from Northumbria University’s Enterprise Data Analytic Clinic, Institute of coding.