Book of Modules 2015-2016 Semester 2
Research
Programmes
2015/2016
Semester 2
Module
Descriptors
Graduate Research School Office
Contents
Discipline Specific Modules
ASTC 1301 Universal Design
5 ECTS
Student Competency.
No specific student competency needed
Content:
Universal design is a philosophy which guides designers to consider all users when designing any product or service, and to provide all users with identical use whenever possible, or at the very least equal use. The philosophy is made concrete through the Principles of Universal Design, compiled by researchers at North Carolina State University. Though initially linked closely to the fields of architecture, built environment, ergonomics and product design, the philosophy of Universal Design has now gained relevance across a much broader set of domains, in many cases supplementing an already rich understanding of accessibility, user-centred design and interface design, but in other cases it has been responsible for developing ab initio an interest in diversity and universality in design.
Students on this programme will learn about the principles and philosophy of universal design across several domains. Students will study relevant aspects of a variety of fields, incorporating ergonomics, anthropometry and interaction design, and will develop the skills to both critically assess current designs and produce effective universal designs for products and services. Included in this is the design of guidelines themselves, based on the principles and philosophy of universal design and leading to regulations and legislation, as well as industry standards.
This module is not specifically a technology module, although it is largely informed by developments in technology as an area of rapid change and constant evolution. This module is relevant for designers, engineers and others in any field where individuals are required to make design decisions that can effect how a diverse set of users can interact with a product, environment or service
ASTC 1601 Man and Machine
5 ECTS
Student Competency.
No specific student competency needed
Content:
Designing technological solutions used by a diverse range of people requires kills in both dealing with technology and in dealing with people on a very personal level. Designers of such solutions will be expected to develop a great deal of familiarity with a range of technologies and issues relating to the design of technology, as well as the interpersonal skills to help them interact with individuals and obtain necessary information. They also need to be able to work collaboratively and in some situations develop and execute strategies to help achieve their goals.
To do this successfully the module will allow the student to gain an understanding of the various dimensions of human perception and cognition, and the types of conditions that inhibit their functioning. Additionally the student must develop an awareness of the problems of stress and anxiety that can occur at the interface of man and machine.
BIOL 9220 Advanced Diagnostic Methods and Bioinformatics
10 ECTS
Student Competency.
Biological/Life Sciences background. Students should be pursuing research in Biological Sciences area.
This module is designed to review the technologies and medical limitations of advanced diagnostic methods employed in the clinical laboratory, and will explore current and emerging approaches exploited in the fields of Analytical Biochemistry, Molecular Technology and Immunodiagnostics
Content:
Analytical biochemical methods including protein and small molecule biomarker analysis, mass spectrometry and protein array, metabolomics, lipidomics;
Molecular techniques such as PCR, qPCR, nucleic acid sequencing including 3rd generation sequencing, DNA and protein microarray, mass spectrometric approaches;
Immunodiagnostic techniques including multiplex ELISA, Fluorescent ELISpot, multi-label flow cytometry, immunophenotyping, antigen arrays, Luminex technology;
Applied and practical bioinformatics including sequence identification, retrieval and manipulation, gene sequence analysis; gene association studies; comparative genomics.
BIOL 9225 Diagnostic Immunology and Transplantation
5 ECTS
Student Competency.
Biological/Life Sciences background. Students should be pursuing research in Biological
Sciences area.
This module will explore current, state-of-the-art methods for the diagnosis and monitoring of common autoimmune, immunodeficiency and inflammatory diseases. It will also provide a review of the theory and practice of tissue banking and organ transplantation.
Content
Overview of diagnostic immunology in pathology;
Congenital and acquired immune deficiency conditions;
Models of immune suppression and immune deficiency;
Models of neurodegenerative and inflammatory disorders;
Diagnostic and therapeutic biomarkers of selected immune disorders;
Qualitative and quantitative immunochemical techniques;
Recent developments in the diagnosis and investigation of autoimmune and inflammatory disorders
Immunotherapeutics in clinical immunology;
Modern strategies for immunomodulation in inflammatory disease and transplantation;
Overview of current technology and practice in Tissue Banking and Transplantation;
Outline of the legal and regulatory framework surrounding tissue banking in Ireland.
BIOL 9229 Microbial Pathogenesis, Immunity and Antimicrobial
Resistance
5 ECTS
Student Competency.
Biological/Life Sciences background. Students should be pursuing research in Biological
Sciences area.
The aim of this module is to provide a comprehensive review of selected pathogens, focusing on virulence mechanisms and the host response to infection and the emergence of antimicrobial resistance.
Content
Infection and Immunity: Immunopathogenesis, microbial evasion mechanisms, immune modulation;
Microbial virulence: Exo- and endo-toxins, adhsins and other surface structures, biofilms, secretion systems;
Pathogenesis and host interaction of selected bacterial agents e.g. Staphylococcus aureus,
Streptococcus pneumoniae, Neisseria meningitidis, Campylobacter, Helicobacter pylori,
verocytotoxigenic Escherichia coli, Shigella, Yersinia
Antimicrobial resistance: mechanisms, evolution, prevalence, phenotypic and genotypic laboratory detection of resistance mechanisms
CIVL 9002 Water resources and quality management
5 ECTS
Student Competency.
Civil or structural engineering or relevant graduates
Module description available at http://www.dit.ie/catalogue/Modules/Details/CIVL9002
CIVL 9003 Climate Resilient Infrastructure
5 ECTS
Student Competency.
Civil or structural engineering or relevant graduates
Module description available at http://www.dit.ie/catalogue/Modules/Details/CIVL9003
CIVL 9005 Traffic Management & Road Safety
5 ECTS
Student Competency.
Civil or structural engineering or relevant graduates
Module description available at http://www.dit.ie/catalogue/Modules/Details/CIVL9005
CIVL 9007 Waste & Environmental Management Systems
5 ECTS
Student Competency.
Civil or structural engineering or relevant graduates
Module description available at http://www.dit.ie/catalogue/Modules/Details/CIVL9007
DATA 9911 Data Management
5 ECTS
Student Competency.
Student must be competent in object oriented programming & databases
Content:
No enterprise can be effective without high quality data. Today’s organisations rely on their data assets to make more informed and more effective decisions. Leading organisations are using their data assets by creating competitive advantages through greater knowledge of their customers, innovative uses of information and operational efficiencies. For many important decisions, we experience information gaps – the difference between what we know and what we need to know to make an effective decision. Every organisation needs to effectively manage its increasingly important data and information resources. The role of data management function can effectively provide and control data and information assets of the organisation.
ENEH 1002 Microbial Interactions at Host Epithelia
5 ECTS
Student Competency.
Have a level 8 award of Biology, Bioanalysis, Biomedical Science or related subject. Their research programme should be related to the module content
Content:
This module is aimed primarily at graduate students whose research topics are in the field of microbial pathogenesis, but who have not had a strong introduction to cell biology or host immunity. The primary focus of the course is on bacterial pathogens that colonise the human epithelium. It is targeted primarily at postgraduates at an early stage in their research programmes who wish to broaden the scope of their knowledge and experience beyond their specific research topic. The one-day intensive course will focus on the interactions of pathogenic bacteria with host epithelia, the host response to infection, the challenges posed by the biofilm mode of growth and advances in the development of novel therapies. Recent discoveries in the literature will be presented in order to expose the participants to the cutting edge of Microbial pathogenesis.
Key topics to be covered will include:
Mechanisms of bacterial virulence
Bacteria and their interaction with the epithelium
Host response to bacterial pathogens
Formation of biofilms and the implications for host and therapy
Applications of microbial pathogenesis to vaccine development and other therapies
ENEH 1004 Data Mining for Biomedical Applications 1
5 ECTS
Student Competency.
Students studying any branch of biomedical or health sciences with an interest or need for data mining.
This is a module taken by participants working with data generated by ‘omics’ technologies (NMR,
GCMS, HPLC-MS, DNA sequencing, proteomic data) or hyperspectral imaging instruments (Raman,
FTIR, NIR imaging systems etc.) who have an interest in or a need to employ data reduction methods in order to model the variation in such multivariate data with experimental variables.
The module aims to equip the participants with a knowledge of the theory underpinning basic multivariate analytical methodologies such as Principal Components Analysis (PCA), Partial Least
Squares Regression (PLSR), and linear discriminants analysis (LDA).
The module will be taught within the environments of Matlab and R with an emphasis on equipping the students with a knowledge of basic and advanced approaches to summarizing multivariate data, and evaluation of multivariate models. Participants will also be encouraged to use the concepts and deploy the computational approaches developed in the lecture sessions on their own data in their assignments.
Content
Review of matrix algebra. Introductory examples – univariate versus multivariate data types
Covariance and correlation. Exploratory data analysis. Data pre-treatment. Principal components analysis (PCA).
Cluster analysis. Multiway PCA. Cross-validation and selection of PC’s
Principal Components Regression. Multivariate calibration (model selection, cross validation, over and underfitting). Linear methodologies (ordinary least squares regression, principal component regression, partial least squares regression).
Classification methodologies. PLS-Discriminant analysis. Linear discriminant analysis.
Classification trees. Evaluation of classification and measures of classification accuracy
ENEH 1010 Medical Imaging – Macro to Molecular
5 ECTS
Student Competency.
Students should be studying Health Sciences, Physical Sciences or Biomedical Engineering
This module covers advanced concepts in Diagnostic Imaging Physics, including current state-ofthe-art technology. The module will give the student an understanding of the principles and application of physical sciences in Diagnostic Imaging, both in a theoretical and practical setting, with some emphasis on quality control and safety. An emphasis would be placed on equipping the students with both a theoretical and practical knowledge of the cutting-edge techniques in medical imaging, since it is here that they can be of most benefit to the healthcare, industrial and academic employers
Content:
X-ray Imaging.
Radionuclide Imaging
Magnetic Resonance Imaging
Ultrasound Imaging
Terahertz Imaging
Elastography Imaging
Optical Tomography Imaging
Free Radical Imaging
ENTR 9000 Managerial Finance & Entrepreneurialism
10 ECTS
Student Competency.
Students should be studying Hospitality / Tourism / Events / Management
Accounting is the language of business and as managers operate commercial enterprises, understanding finance and how it relates to the planning, control and decision-making activities of business managers is essential. Entrepreneurship is central to the development of the hospitality, tourism and event sectors. Behaving entrepreneurially is critical to successful organisational and personal development and to developing a clear understanding of the strategic manner in which organisations should operate.
This module fuses these core competencies to help develop creative, self-aware managers with the strong financial skills set necessary to develop and manage businesses within the hospitality, tourism and event sectors
MATH 9952 Applied Statistical Modelling
10 ECTS
Student Competency.
Graduates of scientific or numerate degrees who have sufficient mathematical background and completed Introduction to Statistics
This module introduces the student to a selection of major strands in modern statistical modelling.
An emphasis will be placed on model formulation, fitting algorithms and model interpretation. R software (or equivalent) will be used to fit models.
Content:
Methods of statistical inference: Classical and modern methods and their applications, including the basis of Bayesian methods.
Regression Models with complex structure: Correlated normal data - generalised least squares and linear mixed models. Generalised linear models. Extensions to GEE and generalised linear mixed models.
Classification: Tree based methods. Assessing classification accuracy; confusion matrix, specificity, sensitivity, OC curve & AUC. Tree based methods compared to logistic regression methods.
Survival analysis: Censoring and incomplete data; Survivor and hazard functions; Life-table and KM methods. Log rank and Wilcoxon tests. PH models with regression structure.
MATH 9953 Algorithms & Approximation Theory
5 ECTS
Student Competency.
Graduates of scientific or numerate degrees who have sufficient mathematical background (i.e. mathematics studied as a component for three or more years)
This module considers algorithms used for solving numerically algebraic and optimisation problems, and the theoretical background of these methods and their convergence. An emphasis on practical work will alternate with the theory in order to familiarize the student with the solution of the practical problems which arise in industry and research.
Content:
Algorithms
Types of algorithms, condition and stability, order of convergence. Contraction mappings and successive approximations.
Iterative Solution of Large Linear Systems
Iterative methods for solving systems of linear equations: Jacobi, Gauss-Seidel and SOR methods.
Condition number of a matrix, perturbation. Application of these methods to large systems of linear equations that arise in the numerical solution of partial differential equations.
Optimisation
Unconstrained n-dimensional minimisation: Bisection and Golden Section algorithms; steepest descent and conjugate gradient methods.
Approximation Theory
Best approximation, existence and uniqueness. Uniform approximation and the Haar condition, applications to interpolation. Inner product spaces and orthogonal polynomials. Chebyshev and
Lagrange polynomials. Trigonometric interpolation and optimal points for interpolation.
MATH 9961 Astrophysical Plasmas
5 ECTS
Student Competency.
Very strong mathematical background (i.e. primary degree in mathematics or theoretical physics
Almost the entire visible universe consists of astrophysical plasma. The learner is introduced to plasma kinetic theory and the fundamental properties of plasmas. Single- and multi-fluid descriptions for the macroscopic properties of mass, momentum and energy are developed. The model of magnetohydrodynamics (MHD) is described and applied to problems in astrophysics.
Content:
Basic plasma properties
Elements of plasma kinetic theory
Plasma oscillations : the plasma frequency
Charge neutrality, Debye shielding length
Weakly coupled plasmas
Damping of plasma oscillations
Collisions
Larmor frequency and Larmor radius
Fluid equations for mass, momentum and energy
Multi-fluid theory
Two-fluid theory
Single-fluid equations
Magnetohydrodynamics
Generalized Ohm’s law
The MHD approximation of Ohm’s law
The pre-Maxwell equations
Equations of Ideal and resistive MHD
The induction equation and conservation of magnetic flux
The diffusive limit of the induction equation
Magnetic field lines
The Lorentz force
Basic MHD dynamics
Linear motions superimposed on a static equilibrium
Waves of a uniform plasma of infinite extent
Alfven, fast and slow magnetosonic waves
Topics in astrophysics
MATH 9973 Numerical Methods for Differential Equations
5 ECTS
Student Competency.
Graduates of scientific or numerate degrees who have sufficient mathematical background (i.e. mathematics studied as a component for three or more years)
The aim of this module is to equip the learner with the knowledge necessary to effectively select and implement finite-difference methods for the numerical integration of differential equations describing initial value problems.
During the first part of the module the learner will be introduced to the theory and practice of common techniques for the numerical integration of ordinary differential equations with initial conditions. The second part of the module will focus on numerical methods for initial value problems described by systems of partial differential equations.
Content:
Ordinary Differential Equations
Linear systems; Nonlinear systems; Finite-differencing techniques; Stability analysis; Explicit
Runge-Kutta methods; Adaptive stepsize control; Implicit Runge-Kutta methods; Stiff systems.
Partial Differential Equations
Conservative systems: Method of lines; Finite-differencing; Stability analysis; Lax-Wendroff;
Riemann solvers and Godunov schemes.
Diffusive Systems: Heat equation; Stability analysis; Finite difference schemes
MENS 9106 Ensemble
5 ECTS
Student Competency.
Students must be advanced instrumentalists and pass entry audition.
Ensembles: Wind Ensemble, Symphony Orchestral, Chamber Ensembles
Module description available at http://dit.ie/conservatory/postgrad/mmus/
NMAD 1003 Applied Optics: Polarised Light
5 ECTS
Student Competency.
Students with physics, chemistry or biology background
Content:
This module introduces methods for mathematical description of polarised light and some applications of polarised light in science and technology. Students will be encouraged to develop deep understanding of the basic methods for description of polarised and partially polarised light, the methods for control and manipulation of the state of polarisation of light and the significance of polarised light in science and technology. The students will acquire experimental skills in characterisation and control of the state of polarisation of light. As a result of this course the student should acquire knowledge of characterisation and manipulation of polarised light and an appreciation of its importance in science and technology.
Introduction to polarization of light –
Jones vector and Jones
Stokes parameters and Mueller
Poincare sphere representation of polarisation - description of partially polarised light.
Polarisation of
Light scattering
Applications of polarised light
Laboratory: characterisation of state of polarisation of laser light; methods of control and manipulation of the state of polarisation of light.
NMAD 1005 NMR and Molecular Recognition
5 ECTS
Student Competency.
Students should be studying chemical and related sciences.
Content:
This module is aimed primarily at research students seeking to advance their knowledge of molecular recognition or host-guest chemistries and the techniques employed to determine binding constants in host-guest complexes.
It is targeted primarily at postgraduates at an early stage in their research programmes who wish to broaden and deepen their knowledge and skills in this field
Students will learn key concepts in design of molecular recognition systems (host compounds); interactions of hosts with small guest molecules; advanced NMR and spectroscopic techniques for evaluating molecular recognition and quantification.
Key topics to be covered will include:
Host synthesis routes;
Appropriate choice of guest;
Binding studies – to include transport across interfaces;
NMR, UV-VIS, fluorescence
NMAD 1006 Holography: Techniques and applications
5 ECTS
Student Competency.
Students with optics background
Content:
This module introduces the principles of holography, holographic techniques and applications. It will be delivered through lectures, laboratory work, a scientific presentation on a chosen holographic application and attendance at seminars. Students will be encouraged to develop understanding of holographic recording, types of holograms and their properties, holographic materials and a range of holographic applications. Holographic data storage, holographic tweezers, holographic sensors, digital holography, holographic interferometry, holographic optical element design, holographic patterning and display holography will be introduced. The student will acquire experimental skills in recording simple holograms and characterising their properties. As a result of this course the student should acquire fundamental knowledge of holography and the trends in its development
PROG 9812 Secure Systems Development
5 ECTS
Student Competency.
Student must be competent in programming & scripting
Content:
There are software defects which can be easily avoided that are a primary cause of commonly exploited software vulnerabilities. Empirical evidence shows, that most vulnerabilities stem from a relatively small number of common programming errors. By identifying insecure coding practices and developing secure alternatives, software developers can take practical steps to reduce or eliminate vulnerabilities before deployment. Employing secure programming techniques before the software is deployed can lead to significant cost savings.
SPEC 9995 Data Visualisation
5 ECTS
Student Competency.
No specific student competency needed
Content:
Visualisation facilitates the transformation of data into knowledge. With ever-increasing quantities of data we require assistive methods to help us make sense of, and create value from, the raw information at our disposal. Data Visualisation is a multidisciplinary area drawing upon several different areas of computer science (e.g. psychology, statistics, data mining, graphic design, information visualisation) to deliver meaningful solutions.
This module provides students with an introduction to the theories underpinning data visualisation, best practice in using visualisations effectively, and practical skills in creating visualisations from datasets. The emphasis of the module is human-centred rather than machine-cantered as a central challenge in visualisation is choosing/designing the best visual interface for a task (as dictated by the expected audience).
As a foundational step, learning theories, cognitive science and epistemology will be examined: how humans perceive the world; how we make sense of what we perceive; how we absorb information; how to interpret meanings in visualizations; and how we learn and memorise what we have perceived will all be examined.
Lastly, this module will provide a practical introduction to the tools and techniques of data visualisation. Through practical instruction, labs and tutorials, students will be equipped to successfully implement data visualisation techniques.
SPEC 9996 Case Studies in Computing
5 ECTS
Student Competency.
No specific student competency needed
Content:
The purpose of this module is to expand the student’s understanding of techniques employed in their field of study by exposing them to real world case studies. These case studies may be of approaches that organisations have taken to implement solutions to real problems in the field or based on scenarios which have no a priori solutions to allow the students to create their own approach and compare it with other students.
The module is designed to accommodate students who wish to work with a single organisation or who wish to gain exposure to a wider range of case studies through attendance at seminars.
This module is specifically designed to be generic so that it can be used on any Computing MSc programme. When integrated into a particular programme the focus of the module will be adapted to the programme’s area of focus.
STMG 9002 Strategic Revenue Management & Distribution
10 ECTS
Student Competency.
Students should be studying Hospitality / Tourism / Events / Management
Hospitality organisations face important decisions regarding what to sell, when to sell, to whom to sell, and for how much. The discipline of revenue management represents a core activity for managing capacity, revenue and profitability growth within hospitality organisations. It combines data analysis with strategy and an understanding of customer behaviour aligned to effective distribution. Revenue management provides an approach for management to guide effective decision making to maximise the return on investment for the hospitality business.
This module aims to develop student’s strategic revenue management skills and competencies in a variety of different contexts.
Content:
Introduction to Revenue Management
Forecasting
Market Segmentation
Pricing and Profitability, Data Analytics
Performance Measurements
Tactical Applications of Revenue Management – Using systems (Advanced Excel/HOTS)
Revenue Management for Food & Beverage
Revenue Management for Conference & Events, Spa, Golf
Revenue Management for the Airline Industry
Managing the Distribution Strategy - Channel Management
Digital Marketing search and optimisation, Social Media, Community Management,
Reputation Management
Revenue Management Systems – Systems integration/interface
The fundamentals of operational controls (including the organisational resources necessary for the smooth and successful running of a hospitality operation)
STRT 9001 Structural Analysis & Dynamics
5 ECTS
Student Competency.
Civil or structural engineering or relevant graduates
Module description available at http://www.dit.ie/catalogue/Modules/Details/STRT9001?tab=Learning%20Outcomes%20And%2
0Assessment
TFEV 9000 Emerging Issues in Hospitality, Tourism & Event
10 ECTS
Student Competency.
Students should be studying Hospitality / Tourism / Events / Management
Content:
The rationale for this module is the desire to expose our students to a range of perspectives on the determinant issues of the day across the Hospitality, Tourism and Event sectors. While ‘cutting edge’ topics are implicit in the presentation of all our programme modules, we wish to provide our students with the additional opportunity to critically explore topics from a range of academic discipline (e.g. sociology, politics, geography) positions that would not otherwise be available to them. This research-led module will enable the student in the development of his/her critical thinking, reading, evaluation and writing skills. The organisation of the module will involve 3 or 4 lecturers from different disciplines each presenting two themes from their areas of expertise. These sessions would be supported by a number of components addressing critical thinking, evaluation and writing. An opportunity for publication of the best student work from each cohort will be provided.
Topics will be interchangeable from time to time according to the judgement of the programme committee and may include topics such as the following:
Supply and Demand;
Crisis Conflict Management;
Futures Forecasting;
Networks and Relationships;
Motivating People
Greening the Industry;
Competitiveness;
Cost Refinement Management;
Stakeholder Collaboration
Multi-culturalism
Lifestyles
Technology; Social Media
Domestic Tourism Market
Fitness/Leisure
Emerging Tourism Issues
TFEV 9002 International Event Management
10 ECTS
Student Competency.
Students should be studying Hospitality / Tourism / Events / Management
Content:
This module is designed to further students’ understanding of the environments and contexts in which events of varying description are created, produced and managed world-wide. Both operational and strategic aspects of event management will be considered as will the public policy contexts within which events unfold. Throughout the module, students will be encouraged to critically reflect on the issues shaping contemporary events and to compare, differentiate and appraise the different approaches taken by practitioners as they seek to act innovatively, optimise the opportunities, and manage the challenges facing the dynamic event industry.
International Trends and emerging issues
International Business Models for events
International Event Policy & Planning
Networking & Collaboration
Regulatory Environments
Responsible Events
International Event Impacts
International Project Management
TOUR 9001 International Tourism Trends, Markets & Products
10 ECTS
Student Competency.
Students should be studying Hospitality / Tourism / Events / Management
Content:
This module interweaves theory with practice to develop students’ understanding of the processes and practices underpinning tourism consumption and production. It aims to familiarise students with the key concepts underpinning the study of tourism markets and products and with the latest trends in international tourism globally. The module is designed to develop students’ facility to critically examine, analyse and evaluate a range of topics including prevalent and emerging travel patterns, motives and drivers; the nature and array of contemporary tourism products; the structure of the industry and the complex relationships between the diverse array of actors involved. Another key aim is to develop students’ knowledge of the product development process and the role that innovation plays therein. Throughout, the intention is that students develop their understanding of the processes at work such that they can critically evaluate and discriminate between approaches and transfer their knowledge in future engagement with tourism.
Introduction (intro and overview of key concepts, principles & practices)
Introduction to international tourism trends (geography of international tourism trends current and forecast)
International travel patterns & the tourist as consumer (consumption patterns in tourism, key motives and drivers)
Profiling contemporary tourists (contemporary tourist demands – culture seekers, responsible & eco driven, business, etc.)
Innovation & product development in tourism (initiation, development & key drivers of innovation in tourism, processes of innovation and product development etc.)
Themes & issues in tourism supply – attractions, transport, accommodation, intermediaries
Relations between tourism providers (co-operation, networks, clusters etc)
Into the future: emerging trends & products
WEB 9810 Web Application Architectures
5 ECTS
Student Competency.
Student must be competent in object oriented programming & HTML & CSS
Content:
This module builds on the student’s knowledge in advanced web development. The student will learn how to build sophisticated web applications using specialised web architectures and frameworks. They will be taught how to use different architectural standards that may be used across a variety of environments, which improves the quality of a web application without compromising flexibility. The module covers techniques to develop test-driven software and RESTful web-APIs able to interact with databases and built using the MVC design pattern. These techniques help to address realistic enterprise challenges, while still being sufficiently high-level to be useful in diverse and heterogeneous environments
Employability Skills Modules
CT 9002 Epistemic Practice B – Issues in Communicating and
Disseminating Research
10 ECTS
Student Competency.
PhD candidates from the Creative and Performing Arts from the College of Arts and Tourism.
Content
This module presents the researcher with the opportunity to:
Acquire practical experiences in research writing competencies
Develop practical applications of competency in communicating research undertakings to
specialist and non-specialist audiences
Apply critical reflection skills in communicating key aspects of the major research projects
Lecture Series
On Research Ethos and Ethics
Research Communications for the Early Stage Researcher
Academic Conventions
Textual Production within a research project
The Politics of the Archive
Textuality and Orality
Image and Txt
Visual Research
Methodologies in Design Research
Sound as Object
Discursive Practices
On Research Ethos and Listening Rhetoric
GRSO 1010 Introduction to Pedagogy for Postgraduates
5 ECTS
Student Competency.
Students should be demonstrating or acting as tutors
Content:
The aim of this programme is to support the postgraduate demonstrator in developing the key and core pedagogical skills that will assist them in demonstrating undergraduate teaching laboratories.
This module provides postgraduate demonstrators from within the Institute (and potentially outside the Institute) with extensive knowledge of an academic teaching and learning environment with a particular emphasis on practical teaching. Additionally, quality assurance structures, approaches to providing feedback, and social constructivist approaches to teaching in a practical setting will be explored through relevant case studies and scenario based learning. The module is set in the context of the national and international move towards a more structured approach to postgraduate training.
MECH 9002 Innovation & Knowledge management
5 ECTS
Student Competency.
All research students are eligible.
Content:
Module description available at http://www.dit.ie/catalogue/Modules/Details/MECH9002
PRJM 2000 Project Management: Tools and Techniques for
Academic Research
5 ECTS
Student Competency.
Suitable for all graduate students
The overall aim of this module is to introduce a portfolio of project management tools and techniques, that can be applied to academic research projects This module will provide students with a full understanding of project management theory in the context of academic research.
Students will learn how to develop a project management plan, identify key milestones and develop implementation plans. The module will explore the development and execution of the project plans with an emphasis on schedule management, developing work packages and compared planned versus action progress. It will also consider the major risks and roadblocks to successful project implementation and success.
Content:
Project Management Evolution
Frameworks and Methodologies
Earned Value Management
Risk Management
Microsoft Project
Controlling the Project Schedule
Program and Portfolio Management
Project Leadership
SOCE 1004 Research Workshop B:Interdisciplinary Research
5 ECTS
Student Competency.
Students of in the creative and performing arts
Content:
The subject, through a collaborative and participatory peer learning process presents the researcher with the opportunity to: o Demonstrate pro-active initiative within a research community in developing familiarity with advanced knowledge at the forefront of the field of enquiry. o Participate in and collaboratively programme the seminar series research dialogue. o Develop collaborative competencies – more fully integrated team-based work practices. o Further broaden the current knowledge context of the major research project.
In the second semester of participation in a seminar series the key issue is for the researcher to demonstrate a capacity to negotiate the interdisciplinary challenge of working in a mixed discipline environment and drawing out the interdisciplinary potential of their own enquiry.
A key way in which this is demonstrated is through the collaborative realisation of a public output / event from the seminar group, with individual self-reporting, and collective evaluation
SPEC 9998 Research Methods and Proposal Writing
5 ECTS
Student Competency.
No specific student competency needed
Content:
Computing graduates will need to remain up to date with new innovations in computing which may be applicable to their chosen area of specialism. To achieve this, students must be able to undertake research using appropriate sources in an ethical and professional manner and present their research findings in an appropriate form.
This module develops the student’s ability to effectively take a research project from a research question through to a successful resolution. This will involve covering topics such as research management, qualitative and quantitative research techniques, and research writing and presentation.
The module will culminate in the preparation of a research dissertation proposal.
STAT 1950 Statistical Analysis for Engineers
5 ECTS
Student Competency.
Engineering graduates
Content:
Module description available at
XXXX Entrepreneurship
5 ECTS
Student Competency.
Suitable for all graduate students
Content:
Module description available at
