Module Details

Module Code: COMP9089
Title: Software Work Experience 2
Long Title: Software Work Experience 2
NFQ Level: Expert
Valid From: Semester 1 - 2021/22 ( September 2021 )
Duration: 1 Semester
Credits: 10
Field of Study: 4811 - Computer Science
Module Delivered in: 1 programme(s)
Module Description: The learner will undertake a relevant apprenticeship in an Irish-based company. This work experience which is part of a three-semester scaffolded approach will be taken in the second semester and will support the apprentice to become familiar and gain knowledge of practical and theoretical aspects of the software system from both software design, architecture and quality perspective. The course of the work experience is supported by a mentor from the industry and supervised by an academic from MTU. The apprenticeship aims to upskill existing capable ICT staff within Irish companies to rise to the challenges of Industry 4.0.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Actively engage in professional communications (meetings, talks) within a project management team in the enterprise environment on topics related to a software system in use and its characteristics.
LO2 Build collaborative interactions with a project management team on different topics related to software systems design, processes and solution architectures.
LO3 Professionally elaborate on the gained knowledge and align it with the best international practice policies, procedures and regulations.
LO4 Outline a comprehensive analysis approach to evaluate the system from different scientific and experimental point of views.
LO5 Evaluate findings, including company's organisation details, services and technical environment.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Software System
Technical and theoretical understanding of Software System along with its main responsibilities towards stakeholders benefit with an improvement view. Critical analysis of system's behaviour using well-understood and best-practice approaches.
Technical Communication
Meaningful collaborative communication with the team of technical engineerings in the working environment on different topics such as software system, solution architecture, improvement roadmaps and stakeholders.
System Analysis
Independent and individual analysis on practical and theoretical aspects of the software system using international practice policies, procedures and regulations. Discussing the benefits of system maintenance and improvement using standard and academic approaches.
Planning
Outlining the features and characteristics of the system to structure a plan for system maintenance and/or improvement by making use of gained theoretical and practical knowledge. The plan integrates the details of services, systems, communication, analysis approaches, system evaluation methods and decision making skills in a presentable and well-understood framework.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Oral Examination/Interview % of Total Mark 20
Timing Week 8 Learning Outcomes 1,2,3,4,5
Assessment Description
An oral interview with academic supervisory panel to explore learning as documented in the learning log and achievement of learning outcomes.
Assessment Type Written Report % of Total Mark 30
Timing Sem End Learning Outcomes 1,2,3,4,5
Assessment Description
Learners are to maintain a learning log that documents, analyses and catalogs learning gained during the work-placement period against the module learning outcomes. This is to be periodically reviewed by both the work-place mentor and academic supervisor to verify achievement of learning outcomes and agree targets for the future.
Assessment Type Performance Evaluation % of Total Mark 50
Timing Sem End Learning Outcomes 1,2,3,4,5
Assessment Description
Performance evaluation of the work placement candidate by the work placement mentor/supervisor in conjunction with the academic supervisor.
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Independent & Directed Learning (Non-contact) Non Contact Work experience, study and report. Every Week 13.87 13.8699998855591
Lecturer-Supervised Learning (Contact) Contact Meeting, interview and presentation. Once per semester 0.13 2
Total Hours 15.87
Total Weekly Learner Workload 14.00
Total Weekly Contact Hours 0.13
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Independent & Directed Learning (Non-contact) Non Contact Work experience, study and report. Every Week 13.87 13.8699998855591
Lecturer-Supervised Learning (Contact) Contact Meeting, interview and presentation. Once per semester 0.13 2
Total Hours 15.87
Total Weekly Learner Workload 14.00
Total Weekly Contact Hours 0.13
 
Module Resources
Recommended Book Resources
  • H. Frederick Sweitzer , Mary A. King. The Successful Internship: Personal, Professional, and Civic Development in Experiential Learning, [ISBN: 9781285077192].
  • Ainley, Patrick and Rainbird, Helen. (2014), Apprenticeship: Towards a new paradigm of learning, [ISBN: 9780367605087].
  • David A Kolb. (2014), Experiential Learning: Experience as the Source of Learning and Development, Second Edition, Pearson Education. Pearson, [ISBN: 0-13-389240-9].
  • Martin, Robert C. (2018), Clean architecture: a craftsman's guide to software structure and design, Prentice Hall, [ISBN: 0134494164].
  • Ian Gorton. (2011), Essential Software Architecture, Springer, [ISBN: 9783642191756].
Recommended Article/Paper Resources
  • Abednia, Arman and Hovassapian, Addeh and Teimournezhad, Shohre and Ghanbari, Nazanin. (2013), Reflective journal writing: Exploring in-service EFL teachers' perceptions, System.
  • Chan, Selena. (2013), Learning through apprenticeship: Belonging to a workplace, becoming and being, Springer.
  • Garcia-Martin, Javier, and Jorge E. Perez-Martinez. (2017), Method to guide the design of project based learning activities based on educational theories, International Journal of Engineering Education, p.33.
  • Helle, Laura, Päivi Tynjälä, and Erkki Olkinuora. (2006), Project-based learning in post-secondary education, practice and rubber sling shots, Higher Education, p.51.
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_KSADE_9 Master of Science in Software Architecture & Design 2 Group Elective 2