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Learning Outcomes

This assessment is designed to demonstrate a student’s completion of the following Learning Outcomes:

Critically analyse and evaluate various statistical and computational techniques for analysing datasets and determine the most appropriate technique for a business problem;
Critically evaluate, develop and implement solutions for processing datasets and solving complex problems in various environments using relevant programming paradigms;
Evaluate and apply key steps and issues involved in data preparation, cleaning, exploring, creating, optimizing and evaluating models;
Evaluate and apply aspects of data science applications and their use.

EDGE

The Cardiff Met EDGE supports students in graduating with the knowledge, skills, and attributes that allow them to contribute positively and effectively to the communities in which they live and work.

This module assessment provides opportunities for students to demonstrate development of the following EDGE Competencies:

ETHICAL
Students will be required to consider Ethical implication of

their analysis and follow the necessary ethical approval

processes while addressing problems associated with the

assessment.

DIGITAL
Students will be required to demonstrate digital skills in the

collation of data and analysis for their project.

GLOBAL
Students  will  demonstrate  an  awareness  of  the  global

context and apply this to their assessment

ENTREPRENEURIAL
Students   will   also   demonstrate   their   developed

entrepreneurial through working under their own initiative,

formulating and presenting recommendations in order to

solve an authentic and complex problem associated with

the module.

 

Assessment Requirements / Tasks (include all guidance notes)

For this assignment you are asked to analyse, develop and evaluate a prediction model using any dataset of your choice and critically analyse the various techniques used. Although you can choose the dataset, it needs to be approved by the teaching team. The work will involve steps for data preparation, cleaning and exploring the dataset. You also need to compile a report containing the following sections.

Analysis and interpretation of results
Critical review of the techniques used (3000 words approx.)
Reflect upon your experience
A short (less than 5 minutes) video summarizing the key points of your coursework. This video will be a useful addition to your Personal Development Portfolio and will help you when applying for jobs. You can create this video using CAM Studio or some other screen capture software such as recordMyDesktop (works only on Linux). Please note that you need to upload your video to Moodle and include a youtube link in report.
Include relevant references to the source materials, techniques and tools used.

 

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