Modern Information Engineering

IIDS61311 Modern Information Engineering 15 Semester 1 Postgraduate Taught Level 6 Alan Davies Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 This module aims to provide an opportunity for trainees who seek to understand and make appropriate use of modern programming skills and data management technologies.  The module assumes no prior knowledge, skill or experience in this area when introducing concepts.  It will provide hands-on experience in software design, implementation and data retrieval.  Trainees are taught best pratice for creating useful and effective software solutions to real-world health problems, as well as discussing modern data management technologies.  During the module trainees will be asked to work in teams to implement a digital dashborad that makes use of NHS prescribing data for decision making. This module aims to provide an opportunity for trainees who seek to understand and make appropriate use of modern programming skills and data management technologies.  The module assumes no prior knowledge, skill or experience in this area when introducing concepts.  It will provide hands-on experience in software design, implementation and data retrieval.  Trainees are taught best pratice for creating useful and effective software solutions to real-world health problems, as well as discussing modern data management technologies.  During the module trainees will be asked to work in teams to implement a digital dashborad that makes use of NHS prescribing data for decision making. The unit aims to introduce students to a hands-on experience of modern information engineering skills including basic programming skills (Python); automation of tasks, how track work for efficiently; and how to store and manage data effectively as well as access it using SQL and the use of version control (GiT).  This is carried out by applying Agile software engineering principles and practices to work on a real software project in small groups.   LO1: Use core programming concepts to design and implement softwareLO2: Critical understanding of  data management technologies (including their strengths and limitations) for use in real-world settingsLO3: Apply and critically appraise the software design process to a range of case-study projectsLO4:   Understand be able to select APIs to allow systems to communicate with each otherLO5: database systems/data management and modern software processes contribute to patient care pathways and the provision of high quality safe and effective patient careLO6:  Develop plans of how to apply software quality assurance processes to a range of case-studiesLO7: Demonstrate the importance of  key role of version control systems in quality assurance LO8: Plan a process for a clinical information systemLO9: Critically appraise a software design process LO10: Develop a system for a clinical teamLO11: Construct a range of SQL commands to extract data from management systemsLO12: Complete project documentation ensuring compliance with security, governance and ethics issues with web-based systemsLO13: Design a relational database to solve a real-world scenarioLO14: Write programs in the Python programming language to manipulate data LO15: Work collaboratively within a teamLO16: Communicate effectively both in written and verbal format to both non-technical and technical audiences:LO17: Work through the problem-solving cycle This unit will delivered in a blended format: e-Learning preparation material will impart basic and core knowledge whilst the face-to-face lectures and open discussions will introduce concrete examples and encourage attendees to draw upon their own reading and experience.  Group, problem based learning will show a deeper understanding of the area and encourage collaborative working.  Example case-studies will be drawn from University of Manchester (HeRC) and University College London research-driven projects and current NHS projects.  The F2F teaching will be delivered as 1 x three day block of workshops covering a key section 0 Other 100%  Sprint 3 presentation (simulated sprint review) 60% (group mark)Blog post 40% (individual mark) Formative assessment and feedback to students is a key feature of the on-line learning materials for this unit. Regular presentation of results to tutor and staff to elicit feedback and develop ideas/work. MSc Health Data Science PT MSc Health Data Science PGDT Taught Component Mandatory PG Dip Health Data Science PT PG Diploma Health Data Science PGDT Taught Component Mandatory PG Cert Health Data Science PT PGCert Health Data Sci (18) PGDT Taught Component Optional PG Cert Health Data Science PT PGCert Health Data Sci (12) PGDT Taught Component Optional Health Data Science - CPD Health Data Science - CPD PGDT Taught Component Optional MSc Health Data Science FT MSc Health Data Science FT PGDT Taught Component Mandatory PG Dip Health Data Science FT PG Dip Health Data Science FT PGDT Taught Component Mandatory PG Cert Health Data Science FT PG Cert Health Data Science FT PGDT Taught Component Optional N John D. Blischak, Emily R. Davenport, and Greg Wilson: "<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004668">A Quick Introduction to Version Control with Git and GitHub</a>" PLoS Computational Biology, 2016Dawson, M (2010) Python Programming (3rd ed) For the Absolute Beginner. Boston: Course Technology PTR - This beginners textbook  serves as a good reference text for using the Python programming language.Software Carpentry (2019) https://librarycarpentry.org/lc-python-intro/This is a free online resource for learning Python with examples of code and exercises to practice.Atlassian (2019) The Agile Coach https://www.atlassian.com/agileThis website provides an introduction to the principles of project management and software development using the Agile methodology.Williams, L (2012) What Agile Teams Think of Agile Principles. Communications of the ACM 55(4):pp71-78This paper discusses the evolution of Agile methodology and what the people and industrial users using it think about it.  eAssessment 40 Lectures 7 Practical classes & workshops 15 0 88