Engineering Systems

Module Code : CE0902A
Module Title  : Group Project

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 9
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 2     Academic Session : 2011/2
Last Updated : 02/05/11 By Wendy Robb

Pre-requisites : CE0901A CE0905A  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Malcolm Mactavish (M513042)

Brief Description
This module involves completing a software development or other technical investigation project as part of a group of students. Each group will produce a requirements specification document from which a software product or technical solution will be developed. The nature of the project must be relevant to the programme studied by the student.

Aim
The aim of this Module is to provide the student with the opportunity to develop a software product or technical solution by applying design, development and evaluation principles in a team environment.

Learning Outcomes
By the end of this module the student should be able to :
1. Plan, design, implement, test and evaluate a software product or other technical investigation that s based upon a requirements specification and related documents.
2. Demonstrate a developed product or technical solution to a number of stakeholders
3. Support colleagues while working as a team to solve a technical problem and evaluate the contribution of colleaguses to the team.
4. Demonstrate the successful acquisition of the Abertay Graduate Attributes.

Indicative Content

1. Orientation
Establishment of project teams and target problem.
2. Project Principles
Why development methodologies are required during product production.
3. Documentation
The importance and content of a requirements specification and related documentation
4. Design
The role of design during project development.
5. Implementation
Implementation issues and approaches
6. Testing and Evaluation
Testing and evaluation methods and execution.
7. Communication
Oral and written communication and demonstration of software product
8. Project planning and team working
Planning the project, organising a team, supporting colleagues, devising weekly plans, keeping progress records
9. Self-evaluation
Personal contribution to team progress, logbooks.

Statement on Teaching, Learning and Assessment
A limited series of lectures, each of 1 hour duration, to be held early in the module. Supervised laboratory session to take place every week for 12 weeks in 2 hour slots. Weekly project meetings must be held in supervised laboratory time. TARGET 5 = 100% of this module will be based upon active enquiry and project work. The assessment will allow students to work as a team to implement a solution to a given problem. All contact time will focus on enabling the students to develop their solutions. This project work will provide the opportunity for both group and independent study. Students will be required to create documentation that demonstrates that their solution meets the requirements of their customer, together with reflection on the product generated and the project as a whole. END TARGET. TARGET 6 = 100% of core subject content will be accessed or synthesized independently. The practical labs will enable students to independently develop skills based upon the framework developed in the Software Project Management module which is used to plan the Group Project in semester 1. In the assessment for this module, students will be assessed on their ability to work as a team to provide a solution to a given problem. Individually, they will be assessed on their own contribution and their critical evaluation of both the finished product and project as a whole. END TARGET. TARGET 7 = A VLE will provide a gateway for students to access learning resources electronically. This will hold copies of lecture notes and assessment specifications. The students will also have access to a range of software which will enable them to develop their applications and to critically appraise the technology. Access will be provided to collaborative working file storage areas so that students can work on their group submissions. END TARGET.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 2 hours
Supervised Practical Activity : 24 hours
Unsupervised Practical Activities : 24 hours
Assessment : 80 hours
Independent : 20 hours

Assessment

Groupwork 1 Product and process
Weighting             : 50%
Workload              : 40 hrs
Issue Week          : 18
Submission Week : 35
Return Week        : 38
Associated Learning Outcomes : 1,2,3,4,5
Assessment Tutor : Malcolm Mactavish (M513042)

2 Report 2 Critical appraisal
Weighting             : 50%
Workload              : 40 hrs
Issue Week          : 18
Submission Week : 35
Return Week        : 38
Associated Learning Outcomes : 3,6
Assessment Tutor : Malcolm Mactavish (M513042)

 
 
 


Additional Assessment Information
Included with the report (critical appraisal) will be the individual's reflective log which may be inspected by the module tutor at any time during the semester. It must therefore be kept up to date.

Additional Tutors :
Allan C Milne (A510690)
Allan MacLeod (A510757)
Colin L McLean (C510601)
Mary-Ann MacKinnon (M510913)

Supportive Reading
Humphry, WS & Thomas WR 2010 Reflections on Management Addison Wesley
Brooks, FP 1995 The Mythical Man Month 2nd Edition Addison Wesley


Specialist Resources


Teachability Issues for this module are :
Oral,Visual,Symbolic,Diagrammatic,Computer Based,Reading,Writing,Collaboration,Professional

Key Transferable Skills for this module are :
Communication,Team Work,Problem Solving,Research,Self Evaluation,Planning,Interpersonal,Leadership,Professionalism

Module Code : CE0995A
Module Title  : Instrumentation

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 9
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 2     Academic Session : 2011/2
Last Updated : 08/04/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Allan MacLeod (A510757)

Brief Description
This module will provide a systems approach to instrumentation design and development, using a graphical development tool to develop instrumentation for complex systems in the form of virtual instruments

Aim
The aim of this Module is to provide the student with competence in designing and using computer- based instrumentation systems.

Learning Outcomes
By the end of this module the student should be able to :
1. Describe application areas for virtual instrumentation
2. Evaluate and analyse the requirements for an instrumentation application
3. Select appropriate transducers and interfaces to build a virtual instrumentation application
4. Design signal conditioning circuitry as required to solve a specific instrumentation problem

Indicative Content

1. Application areas
Uses of virtual instrumentation in the engineering industries e.g. oil & gas, process plants
2. Transducers and signal conditioning
Bridges, amplifiers, level shifting and filters
3. Interfaces
Analogue and digital I/O cards; GPIB and serial control of intelligent peripherals
4. System Design
Virtual instruments, data analysis and presentation, averages, smoothing, fitting, derived measurements, graphs and contour plots

Statement on Teaching, Learning and Assessment
A mix of case studies, group work, practical work and formal lectures will be used in this module. Assessment will be via a portfolio of practical work. Target 5 Lectures constitute 12 of 36 hours class contact. The remainder, 67%, is lab or tutorial work of an experimental or investigative nature. Target 6 Class contact time comprises lectures, tutorials/seminars and supervised laboratory work, amounting to 24% of the module time. The remainder, 74%, is independent study or assessment. Target 7 A purpose-built and regularly-updated module website is used to provide links to lecture notes, laboratory tasks, assessment briefs, operational matters, and external information. Student project or lab work and student-suggested links are incorporated as and when appropriate.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Tutorial/Seminar : 12 hours
Supervised Practical Activity : 24 hours
Unsupervised Practical Activities : 12 hours
Assessment : 40 hours
Independent : 50 hours

Assessment

Portfolio 1 Portfolio
Weighting             : 100%
Workload              : 40 hrs
Issue Week          : 18
Submission Week : 34
Return Week        : 38
Associated Learning Outcomes :
Assessment Tutor : ( )


 
 
 


Additional Assessment Information


Additional Tutors :

Supportive Reading
G Barney 1998 Intelligent Instrumentation Prenctice-Hall
JP Bently 2005 Principles of Measurement Systems Pearson Education Ltd.


Specialist Resources
National Instruments LabView software and I/O hardware

Teachability Issues for this module are :
Oral,Visual,Symbolic,Aural,Diagrammatic,Computer Based,Reading,Writing,Collaboration

Key Transferable Skills for this module are :
Communication,Team Work,Problem Solving,ICT Skills,Self Evaluation,Planning,Quantitative

Module Code : CE0991A
Module Title  : Remote Monitoring and Control

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 9
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 19-Apr-11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Mary-Ann MacKinnon (M510913)

Brief Description
The module will apply a systems approach to the design and development of remote monitoring and control systems.

Aim
The aim of this Module is to provide the student with the specialist tools, techniques and technologies associated with the design, development and implementation of remote monitoring and control systems.

Learning Outcomes
By the end of this module the student should be able to :
1. Evaluate customer requirements and select appropriate technologies for the development of a remote monitoring and control system.
2. Compare and contrast tools and techniques appropriate in the development lifecycle of a remote system.
3. Implement a remote monitoring and control system and evaluate the completed system against requirements.

Indicative Content

1. Remote monitoring technologies
Technologies used for remote monitoring (e.g. GSM modules, Data loggers, Arduino microcontrollers)
2. Remote monitoring architectures
Remote monitoring case studies. Distributed wireless sensor networks. Data management. User interfaces.
3. System lifecycle
Lifecycle vs. costs; developing concepts; customer interfacing.
4. Systems Design
Methodology for systems design; traditional vs. modern approaches to design; 'right first time' methodology.
5. Requirements capture and analysis
Use of appropriate techniques to describe systems; analysis of customer requirements
6. System Design specifications
Top-down design; breakdown of a conceptual system; Data Flow Diagrams; developing system design specifications;
7. Safety Critical Systems
Risk management; Failure Mode Effect Analysis; safety aspects of remote and distributed systems.
8. Systems implementation and testing
Implementation case studies. Evaluation and testing procedures.

Statement on Teaching, Learning and Assessment
A mix of practical work and formal lectures will be used in this module. Assessment will be partly via a portfolio (50%) providing evidence that the student has developed a product design. TARGET 5 = 67% of class contact time will be spent on enquiry based project work as students work on a range of design activities culminating in an assessed portfolio of work. The design work is problem based with the students learning how to use the design software before applying this to a case study exercise. Lectures (making up only 33% of class contact time) support the practical work to put it into context. END TARGET. TARGET 6 = The practical work in this module is based upon industry standard training material. The students will be provided with access to this so that they can work at their own pace to learn how to use the design software, cover tutorial exercises as and when required and select additional exercises to help them with the assessed work. During 67% of the class contact time, the students will be working individually on the practical assessment work. END TARGET. TARGET 7 = WebCT will provide a gateway for students to access learning resources electronically. Students will also be guided towards online resources which will support them with their design work and enable them to critically evaluate their solutions to the problems set. END TARGET.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Supervised Practical Activity : 24 hours
Unsupervised Practical Activities : 24 hours
Assessment : 60 hours
Independent : 30 hours

Assessment

Examination 1 Examination - 2 hours
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : EP
Submission Week : EP
Return Week        : 20
Associated Learning Outcomes : 1,2
Assessment Tutor : Mary-Ann MacKinnon (M510913)

2 Groupwork 2 Design Study
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : 2
Submission Week : 17
Return Week        : 20
Associated Learning Outcomes : 1,2,3
Assessment Tutor : Mary-Ann MacKinnon (M510913)

 
 
 


Additional Assessment Information
50% of the assessment will be based on a practical case study where a system will be developed based upon customer requirements. The exam (50%) will cover systems design and development techniques.

Additional Tutors :

Supportive Reading
Bradley, Seward, Dawson & Burge 2000 Mechatronics and the design of intelligent machines and systems Stanley Thornes
Faulkconbridge, I., Ryan, M 2002 Managing Complex Technical Projects - A Systems Engineering Approach Artech House (Ebrary)


Specialist Resources
All classes to be held in room 4510. One hour lecture per week and a two hour tutorial / practical slot per week. Technical support required for practical sessions.

Teachability Issues for this module are :
Oral,Visual,Computer Based,Reading,Writing,Collaboration,Physical

Key Transferable Skills for this module are :
Communication,Team Work,Problem Solving,Research,ICT Skills,Self Evaluation,Planning,Interpersonal,Professionalism

Module Code : CE0901A
Module Title  : Software Project Management

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 9
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 02/05/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules : IT0920A 
Prohibited Combinations : Cannot be studied at the first attempt after CE0902A 


Module Tutor : ( )

Brief Description
Students will study the software development process and then work in groups of 4-5 to develop a software product.

Aim
The aim of this Module is to provide the student with : an opportunity to address the issues inherent in collaborative development of a software product.

Learning Outcomes
By the end of this module the student should be able to :
1. Select and use appropriate project management techniques.
2. Create intial project planning documentation in response to an invitation to tender.
3. Present with supporting evidence that is credible and appropriate and suggests fitness for purpose.

Indicative Content

1. Project Principles
Why projects fail, success factors, need for management and good process.
2. Understanding the project
Project justification; role of organisational/project team politics; project priorities, requirements specification.
3. Planning the project
Risk management; assumptions and constraints; planning for quality.
4. Defining the project
Typical deliverables; defining scope; work breakdown structure.
5. Requirements
Requirements illicitation, analysis and specification
6. Managing time and resources
Finding the critical path; identifying milestones; Gantt charts; Pert charts. Estimation; resource smoothing; project budgeting.
7. Running the project
Leadership; Building and motivating the team; tracking progress; managing change; Outcome framing; team management; listening; gathering information; running effective meetings.
8. Client management
Building client expectations, client team management; acceptance process
9. Quality Assurance
Quality plan, documentation standards, controls and responsibilities, International and British standards, professional standards.
10. Tenders
Inviting to tender; Responding to a tender.

Statement on Teaching, Learning and Assessment


Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Supervised Practical Activity : 12 hours
Assessment : 60 hours
Independent : 66 hours

Assessment

Groupwork 1 Group
Weighting             : 100%
Workload              : 60 hrs
Issue Week          : 4
Submission Week : 17
Return Week        : 20
Associated Learning Outcomes :
Assessment Tutor : ( )


 
 
 


Additional Assessment Information
Assessment consists of a response to a tender document with client pitch. This will include: costings, key requirements, evidence of team capability; project plan, QA draft, risk plan draft.

Additional Tutors :

Supportive Reading
Bennatan, E.M. 2006 Catastrophe Disentanglement: getting software projects back on track. Addison Wesley



Specialist Resources


Teachability Issues for this module are :
Oral,Diagrammatic,Reading,Writing,Collaboration,Professional

Key Transferable Skills for this module are :
Communication,Team Work,Problem Solving,Research,Planning,Interpersonal,Leadership,Professionalism

Module Code : CE1036A
Module Title  : Decision Support Systems

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 10
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 30/05/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules : SA1053A 
Prohibited Combinations :  


Module Tutor : Les Ball (L510939)

Brief Description
Analysing the cognitive processes and computational intelligence of machines for decision making.

Aim
The aim of this Module is to provide the student with : an in-depth knowledge of how Decision Support Systems and Intelligence Systems can enhance the quality of decision-making.

Learning Outcomes
By the end of this module the student should be able to :
1. Critically examine knowledge engineering techniques and reasoning strategies for organisational decision making and problem solving.
2. Analyse the cognitive decision making processes.
3. Analyse and implement machine learning tchniques.

Indicative Content

1. Overview of Decision Support Systems
What are they? How did they arise and evolve? What are their benefits and limitations? What are the constituent components of a DSS? Where do they fit into the MIS, EIS, Expert Systems and Knowledge spectrum?
2. Decision Makers
Who are they and what are they trying to accomplish? Where do they fit into the process? What kind of decisions do managers make and what classes of decision¿making are there? Decision making through context, perception and values. What forces act on a decision?
3. The Decision Making Process
What makes a decision hard? Unstructured and semi¿ structured processes Uncertainty and cognitive limitations pervade decisions Types of decision Decision theory and problem solving Utility and the process of choice Bias and heuristics in human judgment.
4. Modelling the Decision Process
Problem Definition, scope and structure Influence Diagrams and decision trees Actions, outcomes and consequences Types of models (deterministic and stochastic), simulation Conceptual models Sensitivity Analysis.
5. Knowledge Acquisition and Engineering
Concept of knowledge acquisition techniques, validation and verification. Rule sets and inference
6. Machine Learning
Can machines learn from their environment ? Neural networks, genetic algorythms.
7. Artificial Intelligence aids to Decision Making
Expertise and how do we use it? Reasoning of people, reasoning with computers (rules, CBR, pattern recognition), knowledge bases, fuzzy logic and applications.
8. Data Mining
What is data mining ? Knowledge Discovery Techniques used in data mining.
9. Decision-making on the Internet
Analyse how DSS's are moving onto the internet. Bots and other intelligent agents. Introduction to the sematic web.

Statement on Teaching, Learning and Assessment
TARGET 5 = At least 60% of class contact time will be spent on the development of assessment work around case studies. This comprises both group work and individual and will take place during the laboratory classes each week. These will facilitate the acquisition of both practical and research skills appropriate for level 10. For example, student groups will drive the development of models of their own choice to support decision making, while also researching online a topic in artifical intelligence individually. END TARGET TARGET 6 = At least 60% of core subject content will be accessed or synthesized independently. The practical labs enable groups of students to independently develop skills based upon a provided decision support and intelligent systems framework. The individual research exercise will be driven by independent enquiry through a literature search. END TARGET TARGET 7 = Several decision software technologies will enable students to undertake a reflective pratice in developing models. END TARGET

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Supervised Practical Activity : 24 hours
Assessment : 60 hours
Independent : 54 hours

Assessment

Case Study 1 DSS analysis 2000 words
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : 3
Submission Week : 17
Return Week        : 20
Associated Learning Outcomes :
Assessment Tutor : Les Ball (L510939)

2 Examination 2 Examination
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : EP
Submission Week : EP
Return Week        : 20
Associated Learning Outcomes :
Assessment Tutor : Les Ball (L510939)

 
 
 


Additional Assessment Information
With a mixed cohort it is envisage that the coursework may differ for each group, offering either a literature survey of a building exercise to incorporate intelligent reasoning.

Additional Tutors :

Supportive Reading
Marakas G M 2003 Decision Support Systems in the 21st Century (2nd ed.) Pearson Education: New Jersey
Turban E & Aronson 2005 Decision Support Systems and Intelligent Systems (7th ed.) Prentice Hall


Specialist Resources
Will require labs with Juniper and WEKA installed.

Teachability Issues for this module are :
Oral,Visual,Symbolic,Diagrammatic,Computer Based,Reading,Writing,Collaboration

Key Transferable Skills for this module are :
Communication,Team Work,Problem Solving,Research,ICT Skills,Professionalism

Module Code : CE1000A
Module Title  : Honours Project

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 10
SCQF Credits : 30
Status : Approved School Executive
Semester : Semester 2     Academic Session : 2011/2
Last Updated : 02/05/11 By Wendy Robb

Pre-requisites :  
Co-requisites : CE1001A CE1002A  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Mary-Ann MacKinnon (M510913)

Brief Description
Students implement the project specified in module CE1001A.The developed product or investigation is documented,and the process of development is reflected upon in dissertation format.The project will have a different emphasis depending on the programme on which the student is enrolled. Computing/WDD students will develop a software application or carry out an internet development project;Comp & Net students will carry out a practical investigation with a networking theme or an internet development project; EH students will carry out a practical EH-related investigation

Aim
The aim of this Module is to provide the student with: The experience of developing and documenting a predefined large-scale project, and critically appraising the development process undertaken.

Learning Outcomes
By the end of this module the student should be able to :
1. Analyse an existing problem specification to derive a software design or investigation to address that problem
2. Implement and test a software solution or carry out an investigation in accordance with a specified design
3. Critically appraise the extent to which the developed product or investigation meets the intended objectives and to reflect on any departure from those objectives
4. Critically appraise the methodology undertaken to analyse, design, implement and test the software solution or in carrying out the investigation

Indicative Content

1. Honours Project Framework introduction
Orientation to an established framework to guide the project documentation process. The framework indicates deliverables and provides templates and ancillary documentation as appropriate
2. Review / discussion seminars
Consideration and discussion of project activities, for both the product documentation and the process reflection
3. Supervisor meetings
Weekly meetings with the project supervisor to receive guidance on project progression
4. Documentation of product or investigation
Problem specification, analysis of problem and/or area of interest (larger in proof-of-concept or exploration focussed project), outline design or scope of investigation, detailed design (diagrammatic, notational), testing or analysis (larger in product focused project), maintenance issues (for a product focussed project)
5. Documentation of process
Aim and objectives, key conceptual challenges, software development challenges, evaluation of interesting aspects of area and/or code developed, self-reflection on developed software and on the process itself, evaluation of Graduate Attributes achieved.

Statement on Teaching, Learning and Assessment
TARGET 5 = This module is based 100% on enquiry based project work as students will be carrying out a large-scale individual project. Tutorials will support the students to help them with dissertation writing and project supervisors will support the students via weekly meetings to make sure that they are on track with their projects. END TARGET. TARGET 6 = This module is based upon the students carrying out a project on a topic of their own choosing, so 100% of the core material is accessed independently as the students carry out their investigation. END TARGET. TARGET 7 = WebCT will be utilised in order to provide students with a means of accessing learning resources electronically. Supporting tutorial documentation and links to other resources will be made available to assist the students with their dissertation writing and to support them in evaluating their solution to their chosen problem. END TASK.

Teaching and Learning Workloads :

Total : 300 hours
Lecture : 2 hours
Tutorial/Seminar : 16 hours
Unsupervised Practical Activities : 45 hours
Assessment : 174 hours
Independent : 63 hours

Assessment

Report 1 Dissertation 12,000 words
Weighting             : 100%
Workload              : 174 hrs
Issue Week          : 21
Submission Week : 34
Return Week        : 38
Associated Learning Outcomes :
Assessment Tutor : Mary-Ann MacKinnon (M510913)


 
 
 


Additional Assessment Information
Dissertation will be around 50 pages of typed A4 work. Assessment is in the form of a project dissertation which should include: 1.Literature and current technology review; 2.Discussion of the development process for the product or the practical aspect of the investigation, along with its documentation; 3.Presentation of results; 4.An evaluation of the product or investigation with respect to the evaluation criteria set in the report for CE1001A and a self-evaluation, including how the Graduate Attributes were achieved; 5.Conclusion and recommendations.

Additional Tutors :
Andrew T Sapeluk (A510671)
Geoffrey R Lund (G510572)
Natalie Coull (N513839)
Petra Leimich (P510777)
Victor E Bassilious (V510548)

Supportive Reading
Reading will be appropriate to the individual project using electronic and paper journal articles



Specialist Resources


Teachability Issues for this module are :
Oral,Visual,Symbolic,Diagrammatic,Computer Based,Reading,Writing,Professional

Key Transferable Skills for this module are :
Problem Solving,Research,ICT Skills,Professionalism

Module Code : CE1042A
Module Title  : Mobile Phone Technologies

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 10
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 30/05/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Swee Goo (S515039)

Brief Description
This module looks at mobile communication technologies with a view to evaluating their present and future capabilities.

Aim
The aim of this Module is to provide the student with :a level of understanding of mobile phone technologies which enables them to make decisions regarding the appropriate application of the technology.

Learning Outcomes
By the end of this module the student should be able to :
1. Critically evaluate the technologies behind the mobile phone infrastructure indicating the scope for improvements.
2. Analyse specific mobile phone based remote control applications and critically evaluate a solution to the problem.

Indicative Content

1. History
1G 2G 2,5G 3G networks and evolution
2. GSM based networks
Principals of operation. Limitations of system as a data carrying network. Possible methods of improvement
3. GPRS Networks
Use of 2G to deliver 3G content. How this works; limitations.
4. UMTS networks
Principles of operation. Data carrying capabilities and user access methods. Comparison with GSM as a subset of UMTS.
5. Control methodologies
Mobile phones as "universal" remote controls. Methods for achieving this. Development of suitable software.
6. Application
Use of mobile phone technology to solve issues of remote location. Use in non-remote locations.
7. Future Technologies
What will 4G systems look like? Consideration of alternative radio systems eg WiMax or 3G-LTE
8. SMS Messaging
Overview of SMS, how it works. Web based SMS, control via SMS.

Statement on Teaching, Learning and Assessment
The emphasis will be on student learning the material for themselves. This will largely be carried out during the practical classes. The lectures will discuss concepts. The practical assessment will be used as evidence that students have achieved LOs TARGET 5 = 66% of class contact time will be spent on active enquiry or project work. The lectures make up only 33% of the class contact; the remaining class contact is practical class. During the practical class the students are given programming problems to solve. Students need to enhance their learning from the lectures by searching for and reading external online material in order to be able to solve the problems set. END TARGET TARGET 6 = During 75% of the module time, students will be working on their own either in independent study or on the assessment. The lecture material provides a framework for the material. Students will need to explore further, by independent study, the taught topics to enhance their learning. This independent study, together with the taught material, will need to be synthesised in order to have a full understanding of the module content; this will allow the student to tackle the assessment in a meaningful manner. END TARGET TARGET 7 = A customised web site, updated weekly, provides a gateway for students to access learning resources electronically. This site holds copies of the lecture notes, practical tasks and assessment specification. In addition links to external electronic materials gives a starting point for students independent learning. For example links to various tutorials about how the mobile works. END TARGET

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Tutorial/Seminar : 8 hours
Supervised Practical Activity : 24 hours
Unsupervised Practical Activities : 20 hours
Assessment : 60 hours
Independent : 26 hours

Assessment

Examination 1 1.5 hour exam
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : EP
Submission Week : EP
Return Week        : 20
Associated Learning Outcomes :
Assessment Tutor : Geoffrey R Lund (G510572)

2 Coursework 2
Weighting             : 50%
Workload              : 30 hrs
Issue Week          : 1
Submission Week : 17
Return Week        : 20
Associated Learning Outcomes :
Assessment Tutor : Geoffrey R Lund (G510572)

 
 
 


Additional Assessment Information


Additional Tutors :
Geoffrey R Lund (G510572)

Supportive Reading
Schiller, J 2003 Mobile Communications Addison Wesley
2003 UMTS Essentials (cd-rom) Wiley
Jamalipour, A 2003 The Wireless Mobile Internet Wiley

Specialist Resources
GSM\GPRS\3G Modems for practical work

Teachability Issues for this module are :
Oral,Diagrammatic,Computer Based,Reading,Writing,Professional

Key Transferable Skills for this module are :
Communication,Problem Solving,ICT Skills,Planning

Module Code : MT0927A
Module Title  : Operations Management Applications

Principal Domain : Dundee Business School
Principal Division : International Business and Management      Weighting : 100%

Level : 9
SCQF Credits : 15
Status : Draft
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 08/03/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Claire F MacEachen (C510857)

Brief Description
This module examines and applies operations management techniques to operational challenges and decisions.

Aim
The aim of this Module is to develop the capacity to apply operational management techniques in product and sercive industries.

Learning Outcomes
By the end of this module the student should be able to :
1. Evaluate and select appropriate approaches to designing, planning, monitoring and controlling operations in a range of organisational contexts.
2. Apply a range of techniques to deal with the operational requirements and challenges.

Indicative Content

1. Operations Management in its Organisational Context
The operations function within the organisation and its relationship with other functional areas; The role of the operations manager.
2. Design of Operations Processes
Objectives of process design; links with strategy and performance objectives; Supply network design: the need for a total supply network perspective; configuring supply networks; Capacity planning: managing queuing challenges; Layout and flow: types of operations layouts; layout choice; Social responsibility and the challenge of organising work: work organisation and job design; the objective and elements of job design.
3. Planning and Controlling Operations
Planning and control of production (models and approaches); Supply and demand in an increasingly uncertain environment; Influencing and dealing with predictable and unpredictable demand; Inventory costs and risks; The management of inventory. The benefits and problems arising from holding inventory; applying models and systems for managing inventory repetitive order processing at economic order quantity;
4. Planning and Controlling Operations - continued
one-off decisions in uncertainty; continuous and discrete replenishment policies.
5. Monitoring Operations
Monitoring operational processes; The role of information systems in managing and monitoring operations; Measuring processes and performance.

Statement on Teaching, Learning and Assessment
Lectures comprise ten one hour sessions where topics relevant to the subject will be examined in depth. Each student shall attend two one hour tutorials per week over the course of a ten week period. Case studies, exercises and simulations shall be used to apply models and theories and to examine operations management problems and issues. Assessment is via a two hour examination where students will be tested on their knowledge and understanding of the subject.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 10 hours
Tutorial/Seminar : 20 hours
Assessment : 32 hours
Independent : 88 hours

Assessment

Examination 1 2 hours
Weighting             : 100%
Workload              : 32 hrs
Issue Week          : EP
Submission Week : EP
Return Week        : EP
Associated Learning Outcomes :
Assessment Tutor : Claire F MacEachen (C510857)


 
 
 


Additional Assessment Information
The class test will be conducted in assessment conditions, with students provided thereafter with sample responses. A subsequent tutorial session will allow consideration and discussion of variations in approach and treatment. The examination will require candidates to apply models and techniques to a range of scenarios.

Additional Tutors :
Brian Cunningham (B510956)

Supportive Reading
Krajewski, L., Ritzman, L., and Malhotra, M., 2007 Operations Management, 8th Edition Pearson: Prentice Hall
Slack, N., Chambers, S., and Johnston, R., 2010 Operations Management, 6th Edition FT: Prentice Hall


Specialist Resources


Teachability Issues for this module are :
Oral,Diagrammatic,Reading,Writing

Key Transferable Skills for this module are :
Planning

Module Code : CE1002A
Module Title  : Project Reporting and Presentation

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 10
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 2     Academic Session : 2011/2
Last Updated : 11/04/11 By Wendy Robb

Pre-requisites :  
Co-requisites : CE1000A CE1001A  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Mary-Ann MacKinnon (M510913)

Brief Description
This is the 3rd element of the honours project. In this module, the students prepare the results of their honours project for dissemination to a wider audience at the end of year showcase event.

Aim
The aim of this Module is to provide the student with : the ability to disseminate the results of a significant piece of individual project work.

Learning Outcomes
By the end of this module the student should be able to :
1. Reflect on a large scale development project or investigation, outlining the tasks carried out and the rationale for the decisions made;
2. Devise and realise appropriate methods of presenting project results to a wide audience in an interesting and informative manner

Indicative Content

1. Reporting
Formats for professional presentation of results to wider audiences e.g. academic papers and posters;
2. Reflection
Reflection on the product/ investigation, evaluation of the product/investigation against project aims and key performance indicators.
3. Presentation
Use of appropriate presentation techniques to present a technical piece of work to a wide audience that may or may not contain technical experts.

Statement on Teaching, Learning and Assessment
TARGET 5 = This module is based 100% on enquiry based project work as students will be disseminating the results of an individual project. Tutorials will support the students to help them with academic paper writing, academic poster creation and in demonstrating their projects. These sessions will be focused upon their own project topic areas. END TARGET. TARGET 6 = This module is based upon the students disseminating the results of their own individual investigation so 100% of the core material is accessed independently. END TARGET. TARGET 7 = WebCT will be utilised in order to provide students with a means of accessing learning resources electronically. Supporting tutorial documentation and links to other resources will be made available to assist the students with their academic paper writing, academic poster and demonstration preparation. END TASK.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 1 hours
Tutorial/Seminar : 6 hours
Assessment : 136 hours
Independent : 7 hours

Assessment

Report 1 Academic paper 5000 words
Weighting             : 40%
Workload              : 50 hrs
Issue Week          : 30
Submission Week : 35
Return Week        : 38
Associated Learning Outcomes :
Assessment Tutor : Mary-Ann MacKinnon (M510913)

2 Presentation 2 Academic poster
Weighting             : 40%
Workload              : 50 hrs
Issue Week          : 30
Submission Week : 35
Return Week        : 38
Associated Learning Outcomes :
Assessment Tutor : Mary-Ann MacKinnon (M510913)

Presentation 3 Project demonstration
Weighting             : 20%
Workload              : 36 hrs
Issue Week          : 30
Submission Week : 35
Return Week        : 38
Associated Learning Outcomes :
Assessment Tutor : Mary-Ann MacKinnon (M510913)
 
 
 


Additional Assessment Information
Assessment consists of three components: an academic paper (4 pages in length), an academic poster and a project demonstration, all of which must be prepared for presentation at the end of year showcase event for CCT. These three components will be assessed at the showcase event itself.

Additional Tutors :
Andrew T Sapeluk (A510671)
Dawn E Carmichael (D510879)
Geoffrey R Lund (G510572)
Natalie Coull (N513839)
Petra Leimich (P510777)

Supportive Reading
As appropriate to the individual project



Specialist Resources


Teachability Issues for this module are :
Oral

Key Transferable Skills for this module are :
Communication,Self Evaluation,Professionalism

Module Code : CE1001A
Module Title  : Research Methods and Project Scoping

Principal Domain : School of Computing and Engineering Systems
Principal Division : Computing and Engineering Systems      Weighting : 100%

Level : 10
SCQF Credits : 15
Status : Approved School Executive
Semester : Semester 2     Academic Session : 2011/2
Last Updated : 02/05/11 By Wendy Robb

Pre-requisites :  
Co-requisites : CE1000A CE1002A  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Mary-Ann MacKinnon (M510913)

Brief Description
Students define and plan a large-scale software development project or investigation. The project will have a different emphasis depending on the programme on which the student is enrolled,eg Computing students will develop a software application or carry out an internet development project; Computing and Networking students will carry out a practical investigation with a networking theme or an internet development project;Ethical Hacking students will carry out a practical investigation with an EH theme. WDD students will aso carry out a practical investigation.

Aim
The aim of this Module is to provide the student with experience of defining and planning a software engineering development project or an in- depth investigation.

Learning Outcomes
By the end of this module the student should be able to :
1. Propose a project topic and the scope of development work or investigation;
2. Review and interpret application or investigation requirements;
3. Analyse aspects likely to pose a technical, conceptual and/or legal challenge, and evaluate strategies and/or technologies to manage those challenges;
4. Design an evaluation procedure and associated key performance indicators to measure project success and to describe how Graduate Attributes will be met;
5. Develop a project plan, with clear aims and objectives, relevant to the topic of investigation, with contingency for identified challenges.

Indicative Content

1. Honours Project Framework introduction
Orientation to an established framework to guide the project documentation process. The framework indicates deliverables and provides templates and ancillary documentation as appropriate.
2. Legal Issues.
Copyright, intellectual property, outline of other legislation.
3. Project scoping and Requirements Definition
Identify using appropriate techniques, including requirements elicitation and literature surveying as appropriate, the problem definition and detailed project requirements
4. Project planning
Using appropriate methods to develop detailed plans to ensure completion
5. Project risks
Identification of areas of risk / challenge
6. Professional, Legal and Ethical Issues
Using generic documentation, provided in the framework, evaluate the ethical issues associated with the project. Consider any Intellectual Property and Legal issues associated with the project.
7. Appraisal and evaluation
Consider a variety of solution methods for a given problem, establish a set of evaluation criteria, evaluate these methods against the criteria and appraise the reuslts within the context of the project
8. Report writing skills
Structuring of a report of a specified length, aims and objectives of each section, use of references.
9. Supervisor meetings
Weekly meetings with the project supervisor to receive guidance on project progression

Statement on Teaching, Learning and Assessment
TARGET 5 = This module is based 100% on enquiry based project work as students will be researching and planning a large-scale individual project. Tutorials will support the students to help them with literature searching, referencing, ethics evaluation and project planning and these sessions will be based upon their own chosen topic of investigation. END TARGET. TARGET 6 = This module is based upon the students researching and planning a project on a topic of their own choosing, so 100% of the core material is accessed independently as the students are required to work independently in researching their chosen topic area. END TARGET. TARGET 7 = WebCT will be utilised in order to provide students with a means of accessing learning resources electronically. Supporting tutorial documentation and links to other resources will be made available to assist the students with their research, planning, risk assessment, ethics evaluation and creation of an evaluation procedure for their project as a whole. END TASK.

Teaching and Learning Workloads :

Total : 150 hours
Lecture : 5 hours
Tutorial/Seminar : 12 hours
Assessment : 112 hours
Independent : 21 hours

Assessment

Project 1 Project Document 5000 wrd
Weighting             : 100%
Workload              : 112 hrs
Issue Week          : 18
Submission Week : 21
Return Week        : 23
Associated Learning Outcomes :
Assessment Tutor : Mary-Ann MacKinnon (M510913)


 
 
 


Additional Assessment Information
Additional Assessment Information Assessment for this module takes the form of a project proposal, to include: The problem definition and requirements; Risk assessment and evaluation of ethics and legal issues; Quality Assurance and IP issues; Evaluation criteria for the completed project and describe how the Graduate Attributes will be met; Project plan with milestones and deliverables. Around 20 pages of typed A4 one and half spacing of 12pt type.

Additional Tutors :
Andrew T Sapeluk (A510671)
Geoffrey R Lund (G510572)
Natalie Coull (N513839)
Petra Leimich (P510777)
Victor E Bassilious (V510548)

Supportive Reading
Reading as appropriate to the project using books and Internet articles to give introductory ideas



Specialist Resources


Teachability Issues for this module are :
Oral,Symbolic,Diagrammatic,Computer Based,Reading,Writing,Professional

Key Transferable Skills for this module are :
Communication,Problem Solving,Research,ICT Skills,Self Evaluation,Planning,Professionalism

Module Code : EC1013A
Module Title  : The Global Economy

Principal Domain : Dundee Business School
Principal Division : Accounting, Finance and Economics      Weighting : 100%

Level : 10
SCQF Credits : 15
Status : Draft
Semester : Semester 1     Academic Session : 2011/2
Last Updated : 02/09/11 By Wendy Robb

Pre-requisites :  
Co-requisites :  
Replaced Modules :  
Prohibited Combinations :  


Module Tutor : Mervyn Rolfe (M510305)

Brief Description
This module will introduce students to developments in the global economy since 1945. The module will explore the evolving structure of the global economy and its economic underpinnings. The module will focus on developments in the European Union, Japan, NAFTA and emerging markets, q.v., ASEAN, 'BRICS' economies.

Aim
The aim of this Module is to provide the student with: an understanding of the evolving contours of the world economy and the principal drivers of economic growth and trade integration.

Learning Outcomes
By the end of this module the student should be able to :
1. understand the evolving nature of the global economy;
2. critically evaluate some of the challenges associated with the process of globalisation and the emergence of China;
3. analyse the main drivers of economic growth and trade integration.

Indicative Content

1. The Global Economy in Historical Perspective
.
2. An Introduction to Economic Growth Theory

3. Rebuilding the International Economy: Bretton Woods, GATT

4. European Catch-up: The Golden Years (1950 - 1973)

5. Japan's Economic Miracle

6. Oil shocks, Stagflation, de-Industrialisation

7. From 'Old' economies to 'new' powerhouses?

8. ASEAN: Thailand, Malaysia, Indonesia, Philippines, Singapore

9. Enter the Dragon: China's Open Door Policy

10. Current issues: Soverign debt, trade imbalances


Statement on Teaching, Learning and Assessment


Teaching and Learning Workloads :

Total : 150 hours
Lecture : 12 hours
Tutorial/Seminar : 12 hours
Assessment : 50 hours
Independent : 76 hours

Assessment

Coursework 1 Essay - 2000 words (LC)
Weighting             : 50%
Workload              : 25 hrs
Issue Week          : 2
Submission Week : 17
Return Week        : 21
Associated Learning Outcomes :
Assessment Tutor : Mervyn Rolfe (M510305)

2 Examination 2 2 hours - Unseen
Weighting             : 50%
Workload              : 25 hrs
Issue Week          : EP
Submission Week : EP
Return Week        : EP
Associated Learning Outcomes :
Assessment Tutor : Mervyn Rolfe (M510305)

 
 
 


Additional Assessment Information


Additional Tutors :

Supportive Reading
Maddison, A., 2001 The World Economy: A millenium Perspective OECD Development Centre:Paris Little, Brown and Company
Sawyer, W.C. v Sprinkle R.L. 2006 International Economics 2nd edition, Pearson Prentice Hall
Wolf, M. 2005 Why Globalisation Works:The case for the Global Market Economy Yale University Press

Specialist Resources


Teachability Issues for this module are :
Oral,Visual,Symbolic,Diagrammatic,Reading,Writing

Key Transferable Skills for this module are :
Problem Solving,Research