BSc (Hons) Digital & Technology Solutions – Northumbria University [/NU]

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Digital & Technology Solutions reading lists

Level 4 reading list
Level 5 reading list
Level 6 reading list

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Data Communications and Network Security

Lammle, T. (2018) CompTIA: Network+: study guide exam N10-007

Kurose, J.F. and Ross, K.W. (2017) Computer networking: a top-down approach

Comer, D. (2015) Computer networks and internets, global edition

Stallings, W. and Brown, L. (2018) Computer security: principles and practice, global edition

Stallings, W. (2017) Cryptography and network security

Stallings, W. (2019) Information privacy engineering and privacy by design

Stallings, W. (2016) Network security essentials: applications and standards, global edition

Data Modeling and Database Design

Essential

Ullman, J.D. and Widom, J. (2014) A first course in database systems

Beighley, L. (2007) Head first SQL

Recommended

Kroenke, D.M. and Auer, D. (2015) Database processing

Connolly, T. and Begg, C. (2015) Database systems

Elmasri, R. and Navathe, S.B. (2016) Fundamentals of database systems, global edition

IT Project Management

Pinto, J.K. (2020) Project management: achieving competitive advantage

Professional Practice and Portfolio Development 1

Jasper, M. (2013) Beginning reflective practice

Bott, F. (2014) Professional issues in information technology

Habash, R.W.Y. (2019) Professional practice in engineering and computing: preparing for future careers

Bassot, B. (2016) The reflective practice guide: an interdisciplinary approach to critical reflection

Software Engineering Fundamentals

Essential

Barry, P. (2016) Head first python: a brain-friendly guide

Cadle, J., Ahmed, T., and BCS, The Chartered Institute for IT (eds) (2014) Developing information systems: practical guidance for IT professionals

Recommended

Kalb, I. (2018) Learn to program with python 3: a step-by-step guide to programming

Hall, T. and Stacey, J.-P. (2009) Python 3 for absolute beginners

Phillips, D. (2015) Python 3 Object-oriented Programming

Parker, J.R. (2018) Python 3: pocket primer

Cunningham, K. and Safari, an O.M.C. (2013) Sams teach yourself Python in 24 hours

Understanding Systems Development

Cadle, J., Ahmed, T., and BCS, The Chartered Institute for IT (eds) (2014) Developing information systems: practical guidance for IT professionals

Bocij, P., Greasley, A. and Hickie, S. (2018) Business information systems: technology, development and management for the modern business

Tilley, S.R. and Rosenblatt, H.J. (2017) Systems analysis and design

Kendall, K. and Kendall, J.E. (2014) Systems analysis and design

Technology in the Organisational Context

Laudon, K.C. and Laudon, J.P. (2020) Management information systems: managing the digital firm

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Business Strategy (Legacy)

Johnson, G. et al. (2019). Exploring strategy: texts and cases.

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Del Marmol, T. (2015). PESTLE analysis.

Pichere, P. (2015). Blue Ocean Strategy Concept: Overview and analysis.

Speth, C. (2015). SWOT analysis.

Michaux, S. (2015). Porter's five forces.

Web Application Security (Legacy)

Borso, S. (2019). The penetration tester’s guide to web applications.

Lozano, C.A., Shah, D. and Ahemed Walikar, R. (2019). Hands-on application penetration testing with burp suite.

Edmunds, B. (2016). Securing php apps.

Marshall, J. (2018). Hands-on bug hunting for penetration testers.

Nixon, R. (2018). Learning PHP, MySQL & JavaScript.

Khawaja, G. (2018). Practical web penetration testing.

Business and Delivering Change

Lewrick, M. (2022). Design thinking for business growth

Habash, R.W.Y. (2019). Professional practice in engineering and computing: preparing for future careers

Business Systems and Processes

Harmon, P. and Safari, an O.M.C. (2019) Business process change

Cloud Solutions and Architectures

Marinescu, D.C. (2022). Cloud computing: theory and practice

Chandrasekaran, K. (2015). Essentials of cloud computing

 

Cyber Security (Enhanced)

Sutton, D. (2022). Cyber security: a practitioner’s guide

Khawaja, G. (2018). Practical web penetration testing

Practical Data Analytics

Inmon, W.H. and Linstedt, D., Levins, Mary (2019). Data architecture: a primer for the data scientist.

Ladley, J. (2020). Data governance: how to design, deploy, and sustain an effective data governance program.

Knight, D. et al. (2020). Microsoft Power BI Quick Start Guide.

Kabacoff, R.I. (2015). R in action: data analysis and graphics with R.

Dasgupta, N. (2018). Practical big data analytics.

Lakin, S. (2011). How to use statistics.

Principles of Data Science

Kelleher, J.D. and Tierney, B. (2018). Data science.

Publishing, A. (2020). Data visualization with python for beginners.

Professional Practice and Portfolio Development 2

Jasper, M. (2013). Beginning reflective practice.

Bott, F. (2014). Professional issues in information technology.

Habash, R.W.Y. (2019). Professional practice in engineering and computing: preparing for future careers.

Software Engineering and Agile

Grinberg, M. (2018). Flask web development: developing web applications with Python.

Cole, R. and Scotcher, E. (2015). Brilliant Agile project management: a practical guide to using Agile, Scrum and Kanban.

Hall, T. and Stacey, J.-P. (2009). Python 3 for absolute beginners.

Cole, R. (2020). Agile now: your quick start introduction to agile.

Switching and Routing

Kurose, J.F. and Ross, K.W. (2017) Computer networking: a top-down approach

Web and Mobile Development

Bilgin, C. (2019). Hands-on mobile development with .Net core.

Daniel, S.F. (2018). Mastering Xamarin UI development: build robust and a maintainable cross-platform mobile UI with Xamarin and C# 7.

Solution Architecture

Shrivastava, S. and Srivastav, N. (2020). Solutions architect’s handbook.

Bocij, P., Greasley, A. and Hickie, S. (2018). Business information systems: technology, development and management for the modern business.

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Planning and Implementing a DevOps Function (Legacy)

Forsgren, N., Humble, J. and Kim, G. (2018). Accelerate: the science behind DevOps: building and scaling high performing technology organizations

Kim, G. et al. (2021). The DevOps handbook: how to create world-class agility, reliability, and security in technology organizations

Skelton, M. and Pais, M. (2019). Team topologies: organizing business and technology teams for fast flow

Lakin, S. (2011). How to use statistics

Salkind, N.J. (2021). Exploring research, global edition

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2019). Research methods for business students

Research methods for business students

Advanced Network Design

Oppenheimer, P. (2011) Top-down network design

Cyber Security (Legacy)

Oriyano, S.-P. (2016). Cehv9: Certified Ethical Hacker version 9 study guide

Harris, S. and Maymí, F. (2018). CISSP exam guide

Stallings, W. and Brown, L. (2018). Computer security: principles and practice, global edition

Stallings, W. (2017). Cryptography and network security

Sutton, D. (2022). Cyber security: a practitioner’s guide

Calder, A. and Safari, an O.M.C. (2020). Cyber Security: Essential principles to secure your organisation

Eagle, C. (2018). Gray hat hacking the ethical hacker’s handbook

Collier, M.D. and Endler, D. (2014). Hacking exposed: unified communications & VoIP security secrets & solutions

Erickson, J. (2008). Hacking: the art of exploitation

Lozano, C.A., Shah, D. and Ahemed Walikar, R. (2019). Hands-on application penetration testing with burp suite

Marshall, J. (2018). Hands-On Bug Hunting for Penetration Testers

Stallings, W. (2016). Network security essentials: applications and standards

Khawaja, G. (2018). Practical web penetration testing

Borso, S. (2019). The penetration tester’s guide to web applications

Anderson, R. (2020). Security Engineering

Applied Data Modelling and Visualisation

Kelleher, J.D. and Tierney, B. (2018). Data science

Long, C. and EMC (eds) (2015). Data science & big data analytics

Publishing, A. (2020). Data visualization with python for beginners

Consulting

Wickham, L. and Wilcock, J. (2020). Business and management consulting

Newton, R. (2013). The management consultant: mastering the art of consultancy

Wickham, L. and Wilcock, J. (2016). Management consulting: delivering an effective project

Cope, M. (2010). Seven Cs of Consulting

Contemporary Issues in Digital Technology

Wisker, G. (2018) The undergraduate research handbook

Major Project

Cunningham, I., Dawes, G. and Bennett, B. (2016). The handbook of work based learning

Mumford, J. and Roodhouse, S. (2016). Understanding work-based learning

Professional Practice and Portfolio Development 3

Jasper, M. (2013). Beginning reflective practice

Bott, F. (2014). Professional issues in information technology

Habash, R.W.Y. (2019). Professional practice in engineering and computing: preparing for future careers

Practical Research Proposal

Salkind, N.J. (2021) Exploring research, global edition

Organisational Foresight

Duin, P. van der (2016) Foresight in organizations: methods and tools

Software Engineering and DevOps

Essential - Software Engineering

Grinberg, M. (2018). Flask web development: developing web applications with Python

Essential - DevOps

Kim, G. et al. (2021). The DevOps handbook: how to create world-class agility, reliability, and security in technology organizations

Recommended

Evertse, J. (2019). Mastering Gitlab 12: Implement Devops Culture and Repository Management Solutions

Atkinson, B. (2018). Generic pipelines using Docker: the DevOps guide to building reusable, platform agnostic CI/CD frameworks

Gaspar, D., Stouffer, J., and O’Reilly for Higher Education (Firm) (2018). Mastering flask web development

Forsgren, N., Humble, J. and Kim, G. (2016). Accelerate: the science behind DevOps : building and scaling high performing technology organizations

Rubio, D. (2017). Beginning django: web application development and deployment with python

Kronika, J., Bendoraitis, A., and O’Reilly for Higher Education (Firm) (2018). Django 2 web development cookbook

Mele, A. (2020). Django 3 by example: build powerful and reliable Python web applications from scratch

Aggarwal, S. (2019). Flask framework cookbook

Ashley, D. (2020). Foundation dynamic web pages with Python: create dynamic web pages with Django and Flask

Romano, F., C. Hillar, G. and Ravindran, A. (2018). Learn web development with python

Chan, J., Chung, R. and Huang, J. (2019). Python api development fundamentals

Data Science

Witten, I.H., Frank, E. and Hall, M.A. (2011). Data mining: practical machine learning tools and techniques

Lakin, S. (2011). How to use statistics

Long, C. and EMC (eds) (2015). Data science & big data analytics: discovering, analyzing, visualizing and presenting data

Grus, J. (2019). Data science from scratch: first principles with python

Jurney, R. (2017). Agile data science 2.0: building full-stack data analytics applications with spark

Matloff, N.S. (2019). Probability and statistics for data science: math+R+data

Neapolitan, R.E. (2018). Artificial intelligence: with an introduction to machine learning

O'Neil, C. (2013). Doing data science

Pierson, L. (2021). Data science for dummies

Developing Technology Strategy

Peppard, J. and Ward, J. (2016) The strategic management of information systems: building a digital strategy

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