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Academic Handbook MSc Digital and Technology Solutions

System Testing Course Descriptor

Course Title System Testing Faculty EDGE Innovation Unit (London)
Course code NCHNAP7101 Course Leader Professor Scott Wildman (interim)
Credit points 30 Teaching Period This course will typically be delivered over a 12-week period.
FHEQ level 7 Date approved March 2022
Compulsory/
Optional 
Compulsory
Prerequisites None
Corequisites None

Course Summary

This course explores how software and digital systems are tested using established test environments. Learners will examine how to plan, design, execute and document structured system functionality tests and performance tests against specified requirements. Manual and automated test methods will be evaluated, including the challenges and limitations of testing strategies typically used within an organisation.

Course Aims

  • Expose learners to software/digital system testing practices routinely used in organisations.
  • Train learners in how to plan, design and execute testing strategies.
  • Give learners the tools to write clear and concise test documentation.

Learning Outcomes

On successful completion of the course, learners will be able to:

Knowledge and Understanding

K1d Systematically understand how to design test cases effectively, including the need for representative test data. 
K2d Conceptually understand how to create, configure and maintain multi-server test environments to improve quality and organisational outcomes.
K3d Comprehensively understand fundamental software testing and quality assurance concepts and methods, including their goals, challenges, and limitations.

Subject Specific Skills

S2d Plan and design effective test cases adhering to user requirements, aligned to organisational goals.
S3d Use and critically evaluate industry standard test management tools to define test cases and specify test data.
S4d Apply appropriate industry-recognised test techniques to execute tests using both manual test methods and automated testing tools as appropriate.

Transferable and Professional Skills

T1d Gain an accurate, impartial, scientific, rigorous, hypothesis-driven approach to work.
T2d Consistently display an excellent level of technical proficiency in written English and command of scholarly terminology, so as to be able to deal with complex issues in a sophisticated and systematic way.
T3d Balance technical possibilities with user requirements and timelines and/or resources.

Teaching and Learning

This is an e-learning course, taught throughout the year. 

This course can be offered as a standalone short course.

Teaching and learning strategies for this course will include: 

  • Online learning
  • Online discussion groups
  • Online assessment

Course information and supplementary materials will be available on the University’s Virtual Learning Environment (VLE).

Learners are required to attend and participate in all the formal and timetabled sessions for this course. Learners are also expected to manage their self-directed learning and independent study in support of the course.

The course learning and teaching hours will be structured as follows:

  • Off-the-job learning and teaching (12 days x 7 hours) = 84 hours
  • On-the-job learning (24days x 7 hours) = 168 hours (e.g. 2 days per week for 12 weeks)
  • Private study (4 hours per week for 12 weeks) = 48 hours

Total = 300 hours

Workplace assignments (see below) will be completed as part of on-the-job learning.

Assessment

Formative

Learners will be formatively assessed during the course by means of set assignments. These will not count towards the final degree but will provide learners with developmental feedback. 

Summative

AE   Assessment Type Weighting Online submission Duration Length
1 Practical Skills assessment 50% Yes 10 – 15 hours
2 Report 

(based on workplace practical exercise)

50% Yes 2,500 words +/- 10% (excluding data tables)

Feedback

Learners will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Learners will also attend a formal meeting with their Academic Mentor (and for apprentices, including their Line Manager). These bi or tri-partite reviews will monitor and evaluate the learner’s progress.

Feedback is provided on summative assessment and is made available to the student either via email, the VLE or another appropriate method.

Indicative Reading

Note: Comprehensive and current reading lists for courses are produced annually in the Course Syllabus or other documentation provided to learners; the indicative reading list provided below is used as part of the approval/modification process only.

Books

  • Patton, R. (2005). Software Testing. 2nd ed. Indianapolis, IN: Sams Pub.
  • Kaner, Cem., James. Bach, and Bret. Pettichord. Lessons Learned in Software Testing a Context-Driven Approach. 1st edition. New York: Wiley, 2002.
  • Sommerville, I. (2001). Software Engineering. Harlow, England ; New York : Addison-Wesley

Laporte, C. Y., & April, A. (2018). Software quality assurance, Wiley-IEEE Computer Society

Journals

Learners are encouraged to read material from relevant journals on system testing as directed by their course leader.

Electronic Resources

Learners are recommended the following self-learning resources on unit testing:

Free code camp QA pathway

https://www.freecodecamp.org/learn/quality-assurance/

Data Camp unit testing for Data Science 

https://campus.datacamp.com/courses/unit-testing-for-data-science-in-python/unit-testing-basics?ex=1

Indicative Topics

Learners will study the following topics: 

  • Automated and manual test environments
  • Planning, design and execution of test strategies
  • Testing documentation
Title: NCHAP7101 System Testing Course Descriptor

Approved by: Academic Board

Location: Academic Handbook/Programme Specifications and Handbooks/ Mobility courses

Version number Date approved Date published  Owner Proposed next review date Modification (As per AQF4) & category number
2.0 October 2022 January 2023 Professor Scott Wildman June 2026 Category 1: Corrections/clarifications to documents which do not change approved content.

Category 3: Changes to Learning Outcomes

1.0 March 2022 March 2022 Professor Scott Wildman June 2026
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