CSC-10050 - Module Specification
School of Computing and Mathematics
Faculty of Natural Sciences

Programme/Approved Electives for 2020/21

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2020/21

This module will enable students to understand the basis and practice of professional software and systems engineering, to understand the fundamentals of requirements, evaluation and professionalism, and to develop appropriate communication and study skills. Additionally, it will provide experience of producing a portfolio, working with case studies and report writing that will develop the skills required for producing the End Point Assessment portfolio.

To enable students to understand the basis and practice of professional software and systems engineering as applicable to data science; to understand the fundamentals of requirements, evaluation and professionalism; and to develop appropriate communication and study skills.

Intended Learning Outcomes

explain and apply techniques associated with establishing the requirements and evaluation of requirements by seeking feedback from stakeholders;: 1
discuss the tenets of professional, legal and ethical practice involved in the sustainable exploitation of data science and computer technology;: 1
apply study and communication skills appropriate to professional software, systems engineering and data science;: 1
explain how data science operates within the context of data governance (including the General Data Protection Regulation), data security, and communications.: 1

Study hours

Lectures (delivered online) : 22 hours
Online and block release tutorials and practicals: 10 hours
Unsupervised coursework preparation: 40 hours
Self study: 78 hours

School Rules

None

Description of Module Assessment