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Academic Handbook MSc Digital and Technology Solutions

Advanced Software Engineering Course Descriptor

Course Title Advanced Software Engineering Faculty EDGE Innovation Unit (London)
Course code NCHNAP795 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 June 2021
Compulsory/Optional  Compulsory
Prerequisites None

Course Summary

This course examines advanced software engineering practices using contemporary standards and tools. Learners will explore software testing, verification, documentation, methods for software development, model-based development and software architecture. Industry standards, security considerations, ethical and professional codes of conduct and constraints that guide software development will be considered in relation to the goals of developing reliable, secure, maintainable and adaptable software. Learners will apply methodologies used to manage the software development lifecycle.

Course Aims

  • Train learners in software engineering practices routinely used in organisations.
  • Train learners in security, ethical and professional conduct constraints to software engineering.
  • Give learners the tools to manage the software lifecycle.

Learning Outcomes

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

Knowledge and Understanding

K1d Systematically understand the guiding principles and practice of software engineering, including testing and documentation.
K2d Comprehensively understand the industry standards, security considerations, ethical and professional codes of conduct and constraints that guide software development.
K3d Systematically understanding of the methodologies used to manage the software development lifecycle and risks of software engineering.

Subject Specific Skills

S1d Adapt software products, improving efficiency and functionality. 
S2d Evaluate different technology design and implementation options making reasoned proposals and recommendations.
S4d Conceptually design scalable data products to solve business problems.

Transferable and Professional Skills

T1d Deal with complex issues both systematically and creatively. 
T2di Take personal responsibility for the management of software development and the communication and quality of deliverables.
T2dii 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/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 (24 days x 7 hours) = 168 hours (e.g. 2 days per week for 12 weeks)
  • Private study (4 hours per week) = 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 Written assignment 

(essay)

30% Yes One hour
2 Report 

(based on workplace practical exercise)

70% Yes 4000 words +/- 10%

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

  • Sommerville, I. (2001). Software Engineering. Harlow, England ; New York : Addison-Wesley
  • Schmidt, R. (2013). Software Engineering. Morgan Kaufmann
  • Donaldson, S. and Siegel, S.G. (2001). Successful Software Development. Upper Saddle River, New Jersey : Prentice Hall

Journals

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

Electronic Resources

Learners are encouraged to consult relevant websites on software engineering.

Indicative Topics

Learners will study the following topics: 

  • Software engineering methodologies
  • Security, scalability and efficiency
  • Software lifecycle and management
Title: NCHNAP795 Advanced Software Engineering Course Descriptor

Approved by: Academic Board

Location: Academic Handbook/Programme specifications and Handbooks/ Postgraduate Apprenticeship Programmes/MSc Digital & Technology Solutions Programme Specification/Course Descriptors

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

Category 3: Changes to Learning Outcomes.

2.1 May 2022 May 2022 Scott Wildman June 2026 Category 1: Corrections/clarifications to documents which do not change approved content.
2.0 January 2022 April 2022 Scott Wildman June 2026 Category 3: Changes to Learning Outcomes
1.0 June 2021 September 2021 Scott Wildman June 2026
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