Research Programmes 2017/2018

Semester 2 Module Descriptors

Graduate Research School Office

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Contents

Discipline Specific Modules ........................................................................................................ 4

ARCH 9XXX BIM Architecture 3 – tertiary building elements .................................................... 5

ASTC 1601 User experience design ............................................................................................ 6

BENV 9XXa Advanced BIM for construction & project management ....................................... 7

BENV 9XXb Appraisal & validation of dynamic simulation modelling ....................................... 8

BENV 9XXc Cross domain BIM architecture ............................................................................... 9

BENV 9XXd Cross domain BIM surveying & construction management ................................. 10

BENV 9XXe Cross domain BIM mechanical & electrical .......................................................... 11

BENV 9XXf Cross domain BIM civil & structural engineering .................................................. 12

BIOL 9220 Advanced diagnostic methods and bioinformatics ................................................ 13

BIOL 9224 Point of care testing ............................................................................................... 14

CFCS 9001 Cultural and linguistic diversity .............................................................................. 15

CFCS 9005 Interventions in child and adolescent mental health ............................................ 16

CFCS 9006 Contemporary issues in early childhood education .............................................. 17

CFCS 9008 Risk, vulnerability and the protection of children and vulnerable adults ............. 18

CFCS 9009 Perspectives on ageing........................................................................................... 19

CIVL 9002 Water resources and quality management ............................................................ 20

CIVL 9003 Climate resilient infrastructure ............................................................................... 21

CIVL 9007 Waste & environmental management systems ..................................................... 22

CMPU 4018 Speech & audio processing .................................................................................. 23

CMPU 9005 Social network analysis ........................................................................................ 24

COMP 9001 Deep learning ....................................................................................................... 25

CRIM 9002 The criminal justice system ................................................................................... 26

CRIM 9005 Youth offending & youth justice perspectives ...................................................... 27

CRIM 9014 Criminal psychology .............................................................................................. 28

CRIM 9015 Desistance: The route out of crime ....................................................................... 29

CRIM 9016 Policing and the governance of security ............................................................... 30

CRIM 9017 Studies in victimology & crime prevention ........................................................... 31

MATH 9952 Applied statistical modelling ................................................................................ 32

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MATH 9953 Algorithms & approximation theory .................................................................... 33

MIOT H6012 Information transmission & management ......................................................... 34

MUSM 9004 Ensemble 1 .......................................................................................................... 35

MUSM 9009 Technology in music ........................................................................................... 36

MUSM 9011 Ensemble 2 .......................................................................................................... 37

MUSM 9013 Artistic research perspectives 2 .......................................................................... 38

NMAD 1003 Applied optics: Polarisation of light .................................................................... 39

PGRE 9005 Structured seminar C - leading and facilitating knowledge group work .............. 40

SOC 9003 Theory to practice ................................................................................................... 41

SOC 9005 Organisations: Culture change and learning ........................................................... 42

SOC 9006 Critical social policy ................................................................................................. 43

SSPL 9112 Geospatial engineering for BIM .............................................................................. 44

STMG 9002 Strategic revenue management & distribution ................................................... 45

STRT 9001 Structural analysis & dynamics .............................................................................. 46

TFEV 9000 Emerging issues in hospitality, tourism & event ................................................... 47

TFEV 9002 International event management .......................................................................... 48

TOUR 9001 International tourism trends, markets & products .............................................. 49

Employability Skills Modules.................................................................................................... 50

BIOL 9223 Research Methods & Biostatistics ...................................................................... 51

BIOL 9238 Bioinformatics and Data Analysis ....................................................................... 52

GradCAM S201G Epistemic practice B – Communicating and disseminating research .......... 53

GradCAM S401 Epistemic practice D Collaborative publishing ............................................... 54

GRSO 10XX Work-based learning and employability skills ...................................................... 55

GRSO 1001 Research methods ................................................................................................ 56

GRSO 1005 Introduction to statistics ....................................................................................... 57

GRSO 1010 Introduction to pedagogy for postgraduates ....................................................... 58

MECH 9002 Innovation & knowledge management ............................................................... 59

MIOT H6014 Statistical analysis for engineers ........................................................................ 60

MIOT H6022 Research methods .............................................................................................. 61

RESM 9005 Hospitality, tourism, leisure & event research workshop .................................... 62

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STAT 1950 Statistical analysis for engineers ............................................................................ 63

TFXX 10XX Exploring research methodologies in hospitality, tourism, leisure and events 64

National PhD Programmes ....................................................................................................... 65

AFGDP - Agri-Food Graduate Development Programme ........................................................ 66

FlexiLearn ............................................................................................................................ 67

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Discipline Specific Modules

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ARCH 9XXX BIM Architecture 3 – tertiary building elements Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 22nd January, from 6 – 9 pm DIT Bolton St. Student Competency. Students should have knowledge equivalent to BIM Architecture 1 (at https://sites.google.com/a/dit.ie/msc-in-applied-building-information-modelling-and-management-bim-at-dit/home/stage-1/architecture-technology-stream ) and an undergraduate qualification or experience in a construction-related industry. The BIM in Architecture, Tertiary Building Elements module is in response to an AEC industry need for BIM skilled personnel. It is aimed at industry professionals wanting to up-skill in the area of BIM Technologies. This module will develop the learner’s knowledge of creating data to extract information from the digital building model. It will explore the area of BIM in the Cloud and other process options offered by the application. Content: Databases and BIM Creating project and shared parameters in Revit Breaking down building elements into scheduled parts Understanding BIM Collaborative Process, BIM in the Cloud Collaborative toolsets and the central model Worksets, the central model, local files Revit design process, Phasing and design options BIM Interoperability and federated Models Self-directed Project work

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ASTC 1601 User experience design

Credits: 5 ECTS Timetable: Wednesday 6.30pm – 9.30pm starting week of 22nd January DIT Kevin St KA-3-021 Student Competency. Students should have a technical or design background and be comfortable with computer applications This module aims to enhance the user experience by providing the core knowledge to optimise device usability, by examining a broad range of user experiences across software and hardware applications and establishing the necessary interaction requirements for enhanced user experience across a broad range of technology. This module will be informed by best-practice interaction standards and guidelines. The key objective is to minimise unnecessary barriers to the use of ubiquitous IT applications for everyday living e.g., online shopping, information searching, communications, social media. Content: User demographics. The way that users use IT. The history and evolution of human-computer interaction, interaction design and user experience design. Interaction design, user-centred design and user experience design methods. User personas and scenarios. Gathering user requirements: surveys, questionnaires, interviews, ethnographic research, contextual inquiry. Analysing user requirements: personas, task scenarios, UML use case diagrams, hierarchical task analysis, card sorting. Information architecture: organization structures, labelling systems, navigation systems, search systems. Evaluation: Heuristic evaluation, user testing, cognitive walkthroughs, designing a test plan, evaluating findings, reporting on findings. Prototyping, wireframes and storyboards, design communication and documentation. Cognitive processes and cognitive frameworks. Designing for social interactions. Emotional aspects and affective computing. Technostress/Technophobia Universal Design. Technology landscape of devices.

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BENV 9XXa Advanced BIM for construction & project management Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 22nd January, from 6 – 9 pm DIT Bolton St. Student Competency. Students should have knowledge equivalent to Introduction to BIM for Construction Management for Cost & Value Management (at www.dit.ie/bim) and an undergraduate qualification or experience in a construction-related industry. This module builds on the Introductory BIM for Cost and Construction Management modules by undertaking a more in-depth study of BIM at Construction stage. The importance of model checking and validation for Quantity Surveyors and Project Managers is also examined. The translation of design models into construction models and the transfer of information to site workers and off-site fabricators is detailed. Content: Introduction to model validation and model checking tools Using appropriate software to create location-based quantities, i.e. ability to tell where, when and what quantities are needed BIM for Constructability: using the modelling features within the design authoring software to enhance the model for constructability review purposes BIM for Contract Administration and site co-ordination BIM for advanced clash detection i.e. Time-Based clashes Mobile and Cloud Technologies for BIM BIM on site for Construction and Project Management including modelling and visualising health and safety aspects.

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BENV 9XXb Appraisal & validation of dynamic simulation modelling Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 22nd January, from 6 – 9 pm DIT Bolton St. Student Competency. Students should have knowledge equivalent to Introduction to BIM Mechanical & Electrical 2 (at www.dit.ie/bim) and an undergraduate qualification or experience in a M&E engineering-related industry. Building energy simulation tools are used to predict and optimize energy performance and comfort conditions in buildings. The integral approach by which all relevant energy transport paths are simultaneously processed makes these programs essential for designing modern buildings. However, successful application of supporting software requires careful and thorough validation of results. This main focus of this module is on the critical analytical and empirical evaluation of the software outputs. The idea is to develop a culture in the post-graduate of critical review, reflection and appraisal of the software output and assumptions/inputs, such that design proposals can be soundly based and cross-validated by various means. Content: 1) Analytical Validation (comparing program results to an analytical solution) 2) Empirical Validation (comparing results to (i) an actual experiment or (ii) field measurements or (iii) BMS results) 3) Validation by comparison with well-established or traditional design parameters and also that the learner have knowledge through the literature on 4) Comparative Validation (program-to-program comparisons) Each of the described validation methodologies has its own advantages and disadvantages and limitations. Therefore, it important that the learner engages with all four validation methods as appropriate. Validations shall be performed at component level and system level. Analysis at component level shall also be reflected at system level. The learner shall use empirical and analytical validation strategy to explore the complex interactions of heat transfer processes in buildings in the following areas; - Shading/Daylighting/Load interaction - Heat transfer in building at component level/Building Facades - Natural ventilation strategies/CFD

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BENV 9XXc Cross domain BIM architecture Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 26th February, from 6 – 9 pm DIT Bolton St. Student Competency. Intended to enable students from construction-related disciplines other than architecture/architectural technology to gain an understanding of the tools and methods appropriate to BIM in architecture. The purpose of the Cross Domain BIM Architecture module is to provide learners who are qualified in disciplines other than, and who have taken technology modules other than, architecture or architectural technology with skills in the technologies and methods appropriate to that discipline. This introductory module will develop the learner’s knowledge of basic techniques for creating primary building elements for a digital building model. Content: Introduction to Revit Walls Floors Roofs Organising and documenting the project Site Intro to Object styles, Line styles Self-directed Project work

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BENV 9XXd Cross domain BIM surveying & construction management Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 26th February, from 6 – 9 pm DIT Bolton St. Student Competency. Intended to enable students from construction-related disciplines other than quantity surveying or construction management to gain an understanding of the tools and methods appropriate to BIM in quantity surveying or construction management. Introduces the learner to BIM from a 4D & 5D perspective. The learner will develop knowledge of how Quantity Surveyors and Construction Mangers use BIM and the problems they typically encounter. Content: Visualisation of the project Using 4D model for constructability reviews and creating digital RFI’s and tracking issues Utilise, rather than generate, federated BIM models including for clash avoidance Working with files and file types eg. DWG, DWFx, IFC Working with object properties and creating schedules for quantification Extract schedules to spreadsheets and other applications Introduction to model validation and model checking tools e.g. Tekla BIMSight, Solibri Model Checker and Navisworks BIM on site for Construction and Project Management including modelling and visualising health and safety aspects.

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BENV 9XXe Cross domain BIM mechanical & electrical Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 26th February, from 6 – 9 pm DIT Bolton St. Student Competency. Intended to enable students from construction-related disciplines other than mechanical and electrical engineering to gain an understanding of the tools and methods appropriate to BIM in mechanical and electrical engineering. In order to create a well-designed, sustainable, cost effective, durable, low maintenance building, all the different functions of the Design Team need to be integrated; including combining Building Services Engineering, Architectural Design, Structural Engineering and Quantity Surveying. All participants in the design process must contribute towards a common and comprehensive view of building design philosophy, for which they would normally be individually and separately responsible. This procedure shall lead to a balanced distribution of elemental costs within the overall cost target. This module is thus designed to give non-building services engineers a greater insight into the mechanical and electrical design philosophy and associated impacts of M&E services in buildings in order to foster a greater culture of collaboration and understanding in the built environment post graduate. Content: Utilisation of appropriate BIM authoring tools (e.g. Revit MEP) for the creation of electrical, lighting, power, mechanical and plumbing systems within a building Utilisation of appropriate analysis software (e.g. IES) to assess performance in buildings.

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BENV 9XXf Cross domain BIM civil & structural engineering Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 26th February, from 6 – 9 pm DIT Bolton St. Student Competency. Intended to enable students from construction-related disciplines other than civil and structural engineering to gain an understanding of the tools and methods appropriate to BIM in civil and structural engineering. Introduces the learner to BIM from a Civil and Structural Engineering perspective. The learner will develop knowledge of how Civil Engineers and Structural Engineers engage with BIM. A number of BIM software tools will be explored. Content: BIM standards and processes for Civil and Structural Engineering Structural modelling workflows Federation of structural models with models from other disciplines Family creation / Intelligent parametric libraries Off site fabrication Basic structural analysis Civil and infrastructure modelling workflows

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BIOL 9220 Advanced diagnostic methods and bioinformatics Credits: 10 ECTS Timetable: Block delivery 22nd – 25th January 2018. Student Competency. Students must be studying Biology related PhD 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.

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BIOL 9224 Point of care testing Credits: 5 ECTS Timetable: 9th – 13th April Student Competency. Students must be studying Biology related PhD This module is designed to provide a review of the technological principles and clinical applications of point of care testing (POCT) in a range of healthcare settings. Students will explore the challenges of translating innovative technology in the complex and regulated environment of healthcare, and the leading role that POCT plays in transforming healthcare delivery. Content: The spectrum of point of care testing- Areas of use, analysers and test kits Technological development – Biosensors, Microsystems and miniaturised detection methods. Factors driving the POCT market/economic drivers – Healthcare personnel; Advances and new applications in POCT; the evolution of personalised medicine and companion diagnostics; emerging markets – infectious and lifestyle diseases Benefits and challenges of POCT- Cost, accuracy, precision and interpretation of the test, patient care and safety Legislation and regulatory requirements Medical device Legislation, role of the Health Products Regulatory Authority and FDA, the role of the manufacturer and user Accreditation standards In-vitro diagnostic medical devices (IVD) classification, performance characteristics, conformity assessment pathways In-house manufacture of IVDs Risk assessment and adverse incident reporting User training and certification- Competency management Effective clinical governance Responsibility for POCT- The role of the laboratory Organisation of POCT- Management and oversight POCT steering group membership and role Role of POCT operational teams and the POCT Coordinator/Administrator Evaluation for POCT requests- Risks/benefit analysis (cost versus quality of care) Implementing a POCT service Resources and space Training and standard operating procedures, device access Quality assurance- QC and EQA Competency /proficiency testing of POCT operators Device management - POCT connectivity, data management systems and remote access Operator management Inventory management Maintenance and service Process for Adverse Incident Reporting

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CFCS 9001 Cultural and linguistic diversity Credits: 10 ECTS Timetable: Thursdays 4-6 pm, starting week of January 22nd Student Competency. Research students from social sciences The aims of this module are: To critically examine the changing demographic profile in Irish society. To examine the concepts of culture, racism, and sociolinguistics as key dimensions in an intercultural Ireland. To explore the interrelationships between working with children and families from different cultures in educational, care, and community settings across the age ranges To challenge service providers to think longitudinally in terms of future service needs and to plan strategically from an intercultural service provision perspective. Content Analysis of current service delivery in educational, care and community settings will be examined, with a view to developing future services that will include and celebrate diversity. Approaches to multilingualism in services will be examined and evaluated. Based on definitions and understanding of ethnicity and racism, the experiences of minority groups including the Travelling community will be explored in the context of Irish society. Critical examination of professional practice ethical dilemmas will be undertaken; cultural conflicts pertaining to norms and values on gender issues, child welfare, protection, behaviour management and boundary setting will be explored. Culture: Factors influencing the process of second language acquisition for the individual and the family will be examined. Individual and institutional racism will be examined and linked with service provision; ethical dilemmas where cultural norms are in conflict with best practice will be highlighted. Language and the Individual: Professional Practice Issues: Professional practice and sociological approaches to understanding culture will be explored, focusing on the role of values, beliefs and ethics in describing and defining a given culture. Racism: Relevant legislation related to immigration, employment and equality will be reviewed and critiqued. Societal multilingualism will focus on language loyalty and language shift; language rights; pidgins and creoles; languages in education, social care and communities. Sociolinguistics: Strategic Planning: The exploration of language acquisition will include language socialization, dimensions of bilingual competence, the role of bilingualism in identity and attitudes and social stereotypes. Through an understanding of diversity, the processes of modes of integration, assimilation and interculturalism will be investigated. Varieties of language including gender roles, dialects and World Englishes will be examined

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CFCS 9005 Interventions in child and adolescent mental health Credits: 10 ECTS Timetable: Tuesday 4-6 pm, starting week of January 22nd Student Competency. Research students from social sciences The primary aim of this module is to explore the conceptualization and evaluation of effective interventions in infant, child and adolescent mental health. Content Conceptual models and therapeutic processes in relation to a variety of psychological models of intervention. Conceptualisation and Evaluation of Interventions. Continuum of prevention and intervention, link between theoretical models and interventions, uniformity myth of effectiveness; constructs of efficacy and effectiveness, criteria for evidence-based interventions, moderating factors and mediating mechanisms, multifaceted approach combining individual and family interventions; cultural compatibility of intervention programmes. Critical Issues in Infant, Child and Adolescent Mental Health: Design and outcome of intervention programmes for older children and adolescents with a variety of different mental health disorders. Design of early intervention programmes for young children and their effectiveness in relation to developmental disorders and mental health problems ; factors influencing the outcome of evidence-based treatments of children during the Early Years. Determinants of treatment effectiveness for children and adolescents with mental health disorders. Effectiveness of Intervention Programmes during the Early Years for Children with Developmental Disorders and Mental Health Problems: Effectiveness of Intervention Programmes for Older Children and Adolescents with Mental Health Disorders: Infant mental health: supporting competencies and reducing risks from the start; effectiveness of primary, secondary and tertiary prevention programmes targeting infants, children , adolescents and their families Prevention programmes and their effectiveness: Psychological Models of Therapeutic Interventions: Psychotherapy research, health policy and service provision; children's right to mental health , access to treatment, reaching the hard-to-reach; majority-culture dominance and mental health care.

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CFCS 9006 Contemporary issues in early childhood education Credits: 10 ECTS Timetable: Tuesday 6 - 8 pm, starting week of January 22nd Student Competency. Research students from social sciences The aims of this module are: To critically examine the relationship between concepts of childhood and policy/practice development, To explore the role and function of early years services in societies, To critique the underlying issues in the development of quality standards in the Irish context, To explore mechanisms for developing and promoting creativity in early childhood activities, To critically examine key issues in child protection policy and practice in the early years, To understand theories of first and second language acquisition, To analyse early childhood settings as sites of language and literacy learning, To synthesise research on language and literacy in the early years context, To critically examine the relationship between families and early years services Content Changing concepts of childhood, Creativity, play and learning in the early years Current issues in child protection policy in an Irish and international context including prevention, resilience, risk, control, advocacy, ethnicity, culture and gender; critical review of Irish child protection policy and practice guidelines; child abuse in early years settings: lessons from research and enquiries for early years professionals. Early Child Language, Early childhood care and education as a political subject Exploring the dynamics of holistic services for children and families; connectedness and belonging for children and families in early years services; critique of power, values and norms in relationships between families and services. Issues in child protection in the early years Language and Literacy, Learning how to mean, the beginning of dialogue, the social context of language development, learning through language, learning about language, development of narrative genres, early childhood practitioners' and parents' role in developing conversations and narratives. Literacy in children's homes, early years' settings and communities, reading picture books as visual texts, adult styles of book reading, value of repeated readings of stories, mediating literacy for children. The meaning of childhood; young children as citizens; children as social actors and agents in their own lives; influences of changing concepts of childhood on policy and professional practice in the early years; The purposes and understandings of early education; market standardisation and democratic experimentalism; choice and diversity; political and ethical practice; alternative ways of offering early childhood education; rethinking professionalism; innovative policy and practice developments, essons for the future. Theories of Second Language Acquisition, language policy in Ireland, how second languages are learned, initiatives in providing support for second language learners in early years settings in Ireland and abroad, research studies in Second Language Acquisition.

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CFCS 9008 Risk, vulnerability and the protection of children and vulnerable adults Credits: 10 ECTS Timetable: Tuesday 4-6pm, starting week of January 22nd Student Competency. Research students from social sciences This course explores current and emerging key concepts and issues in the protection of children and vulnerable adults from multiple dimensions. It is designed to build on the knowledge gained from other modules such as legislation, social policy and principles of professional practice. Relevant theories and practice will be discussed. The aim of the module is to increase the students’ theoretical understanding of risk, vulnerability and protection of children and vulnerable adults in all settings and to provide students with knowledge required. It will facilitate the consideration of protection as context specific and as a social construction, both nationally and internationally. It will also focus on a strengths-based and resilience perspective and include models of empowerment and social inclusion Content The course will focus on the following areas Concepts such as risk, vulnerability, protection, control, thresholds, resilience Definitions of the different forms of abuse and indicators, causal factors, effects and outcomes of abuse in children. Relevant protection procedures, guidelines, policies and legislation in relation to the protection of children Critical discussion of current issues relating to protection of children Definitions of the different forms of abuse and interpret indicators, causal factors, effects and outcomes in abuse of vulnerable adults. Relevant protection procedures, guidelines, policies and legislation in relation to vulnerable adults (such as adults who are older, or have disabilities or suffer from a mental illness, or are trafficked, are victims of intimate partner violence or belong to a minority group) Critical discussion of current issues in relation to protection of vulnerable adults

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CFCS 9009 Perspectives on ageing Credits: 10 ECTS Timetable: Tuesday 6-8pm, starting week of January 22nd Student Competency. Research students from social sciences The aim of this module is to equip students with analytical tools to critically examine public policies as they impact on older people. The module covers a broad range of economic, social and political theories relating to ageing and examines public policy for older people across a number of fields. The module draws on social gerontological perspectives and is underpinned by a humanistic value base. Content Ageing in the past in Ireland. Changes in family structures and intergenerational relations. Cross -cultural perspectives on ageing. Ageing and wisdom Broad social and economic policies: demographic trends, retirement, pensions, income supports, carers, transport, housing, dementia services, domiciliary supports, health promotion, financing and eligibility. Health and social care supports through a mixed economy of welfare. Primary care, community care, family care, residential care, the voluntary sector, dementia care, continuum of care. Leisure and active retirement - opportunities for lifelong learning and volunteering. Quality of life and regulatory developments. Frail older people in the community and in long-stay care. Religion and spirituality. Roles and relationships: family and kin support, friendship, social networks, neighbouring. Reciprocities and interdependencies within communities-rural and urban. Social theories and concepts related to ageing: Biological and social ageing, life-span theories, disengagement, political economy, life-history and life-course perspectives, humanistic approaches. Critique ideas related to successful ageing and quality of life: stereotyping, images of ageing, advocacy, ethnicity, gender and social class. Understand the importance for an ageing society of ideas related to independence and dependence within a social framework which emphasises interdependence between the generations.

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CIVL 9002 Water resources and quality management

Credits: 5 ECTS Timetable: Wednesday 4-6pm starting week of 22nd January Student Competency. Civil or structural engineering or relevant graduates Water resources management of a river basin is vitally important for sustainable development. Therefore the aim of this module is to provide the students with advanced scientific knowledge required to design strategic water resources management plans for both water quantity and water quality in a river basin. To achieve this aim, basic principles of water resources management and relevant legislations and regulations will be firstly introduced to students. Then the impact of climate and land use changes on water resources and the methods to incorporate such impacts on future water resources management plans will be illustrated. Lastly a number of hydrological and water quality models used to design any water quantity and water quality management plan will be presented. In this aspect a particular focus is directed towards the use of the rainfall/runoff models and the river flow routing models in solving complex river basin flooding problems and also the use of the groundwater models in addressing groundwater management problems. Some light is then shed on diffuse and point sources pollution transport modelling at a river basin scale Content Main general themes: Evolution of river basin management Water quality and flood legislations Principles of integrated sustainable river basin management Characteristics of water resources systems Hydrological impacts of land use changes on water quantity and quality Impact of adaptation strategies of future climate change on water resources Role of hydrological and diffuse and point sources pollution transport modelling in water resources management Application of optimisation techniques in water resources management Case studies of water resources management from different regions around the world Specific topics: Surface water hydrology Groundwater hydrology Design Workshop

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CIVL 9003 Climate resilient infrastructure

Credits: 5 ECTS Timetable: Tuesday 4-6pm starting week of 22nd January Student Competency. Civil or structural engineering or relevant graduates The infrastructure that enables the global economy to grow and which communities rely on must be sustainable. Within the developed world large parts of the existing infrastructure assets were originally built during the 19th century. They were designed, constructed and operated for a different climate. Within the developing world climate change is affecting crop cycles, water resources and disaster risk management. In order to adapt to this changing environment, our traditional engineering approach to design needs to be radically altered. This module will seek to develop new skills and expertise in adapting infrastructure to create marketable engineering skills and solutions suitable for use nationally and export. This module will address the topic in a holistic and scientific manner. The module will firstly introduce the scientific principles underlying the topic. Challenges and barriers including information gaps and uncertainties will be discussed. Global water resources and the potential impacts in arid and semi-arid regions will be reviewed. The experience of local communities in developing countries will be presented. Best practice in resilient water and wastewater treatment technologies will be assessed. Reverse innovation and its importance as a new tool in innovation and emerging markets will be discussed through a number of international case studies. A number of design and modelling tools will be presented. Transferable skills are developed through the use of storyboards, literature research/design projects and physical models Content Main general themes: Climate change: how hot will it get, how wet will it get. Climate change adaption information gaps and uncertainties. Characteristics of water and wastewater resources systems: 19th century design approaches. Self Supply Infrastructure in the future: one size does not fit all. Global Water Resources within developed and developing world settings. Food Security within Europe, Africa, Asia and Oceania, Americas Reverse Innovation as a toolkit in applying emerging market solutions within traditional engineering sectors. Informal tutorials with design specialists. Case studies from different regions around the world. Specific topics: International Development Self Supply Infrastructure Wastewater Supply, Reuse and Treatment Technologies Resilient Energy Systems Food Security International Case Studies Harvesting

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CIVL 9007 Waste & environmental management systems

Credits: 5 ECTS Timetable: Tuesday 6-8pm starting week of 22nd January Student Competency. Civil or structural engineering or relevant graduates The European Waste Management Hierarchy highlighted the need for a rationalised system of waste management, focussing on the concept of sustainability by moving away from disposal-only options and encouraging reduce, reuse, recycle. Waste management planning is a complex issue, with difficulties in balancing strategies and treatment technologies from the viewpoint of economics and environmental impacts. This module aims to provide learners with the advanced knowledge and skills required to meet the increasingly complex requirements of the waste management sector. Along with class-based learning, design & modelling tools, in-depth review of modern case studies and interaction with industry professionals will be used in the delivery of this module. The module will cover waste reduction strategies, zero-waste protocols, waste auditing, waste management strategies, waste treatment technologies and waste diversion options. This will allow the learner to develop new skills and expertise in adapting infrastructure to create marketable engineering skills and solutions suitable for use nationally and internationally Content Waste Management Policy Irish and International, Past, Present and Future Waste Legislation Ireland and International Waste Management Strategy Waste as a Resource, Implementation and the EU Waste Management Hierarchy, Geographical Information Systems in Waste Management Planning Zero-Waste Protocols Effectiveness of current methods, Case Studies Modern waste treatment techniques and options Solid Refuse Fuel, Incineration with Energy Recovery Sustainable Landfill Anaerobic Digestion, Comingling Innovation in Waste Management Reduce, Reuse, Recycle - new approaches, Metals Recycling, Textile Collections, Food Waste reduction programme Design Workshop

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CMPU 4018 Speech & audio processing

Credits: 5 ECTS Timetable: Wednesday 6.30 - 9.30pm starting week of 22nd January DIT Kevin St Room KA-3-008 Student Competency. Student should have strong programming skills in a high level language (e.g. Python, Matlab). While no particular background in mathematics or digital signal processing is assumed students should not be adverse to mathematics. The area of speech and audio processing has evolved rapidly with ubiquitous mobile telephony and Voice over IP services such as Skype, Google Hangouts or Apple FaceTime. Audio streaming services like Spotify or YouTube use encodes audio steams to optimise the tradeoff between quality and bandwidth resources. Faster networks, better connectivity, increased processing power combined with advances in signal processing and analysis techniques have made speech controlled applications like Siri possible using server side speech processing. This module provides an introduction to speech and hearing and how digital representations of speech and audio can be processed using high level programming languages (such as Python, Octave or MATLAB). Processing and Analysis techniques and their application to a selection of introductory speech and audio problems will be explored. This module has an application focused, hands-on approach. Student are assumed to have strong programming skills in a high level language (e.g. Python), experience using third party libraries and APIs and an interest in applying them to digital signal processing applications. Prior digital signal processing experience is not a prerequisite but student should be aware that appreciation of the mathematics for manipulating discrete-time signals underpins analysis speech and audio signals and features. Content: Introduction to speech and audio processing Basic audio processing Speech The human auditory system Psychoacoustics Speech communications Audio analysis Advanced topics (Indicative and will vary) psychoacoustic modelling Speech and Audio Quality Objective models of intelligibility and quality Speaker recognition

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CMPU 9005 Social network analysis

Credits: 5 ECTS Timetable: Monday 6.30 - 9.30pm starting week of 22nd January DIT Kevin St Room KA-1-017 Student Competency. Students should have programming skills in Python. While no particular background in mathematics is assumed students should not be adverse to mathematics Everything is connected: people, information, the web, events and places, all the more so with the advent of online social media. A practical way of making sense of the tangle of connections is to analyze them as networks. This module provides the tools to conduct a social network analysis research, drawing on knowledge from disciplines as diverse as sociology, mathematics, computer science and physics. The module is intended to provide tools for hands-on analysis of real-world data sets, aimed to support a range of tasks: from describing key features of a network to identifying important nodes in the network, detecting communities, measuring network resilience and structural properties to explaining network formation. The focus is both theoretical (e.g., what are the key concept of social network analysis) and methodological (e.g., how do we actually carry out research on social networks). Content: Introduction and Mathematical foundation Basic Network Concepts Network Data Collection Measure of Centralities Social Capital Communities detection and modularity, subgroups, clustering coefficient Network Resilience Multi-modal networks Multi-level networks Ego Networks Hypothesis testing and networks comparison ERGM Models

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COMP 9001 Deep learning

Credits: 5 ECTS Timetable: Thursday 6pm – 8pm starting week of 22nd January DIT Kevin St Room KA-3-023 Student Competency. Students should have strong programming skills in a high level language such as Python and a knowledge of machine learning. Deep Learning is one of the most important topics in the area of Data Analytics today. Deep Learning is based on the long standing Feed Forward Neural Network design, but significantly goes beyond that through the use of pre-training and the development of exotic network architectures. This module aims to take students with a background in Machine Learning through the practical design and application of Deep Learning solutions. A high-degree of self-study will be used in this module fitting the level of students that this module is aimed at. Content: Indicative syllabus covered in the module and / or in its discrete elements Weeks 1 and 2 : Review of Essentials

1. Artificial Neurons 2. Neural Networks 3. The feedforward algorithm 4. Training and Backprop 5. Tensorflow

Weeks 3 and 4: Optimization of Performance 1. Dropout 2. Early Stopping 3. Mini-Batch Gradient Descent 4. Rmsprop

Weeks 5 and 6: Pre-Training 1. Motivation for pre-training 2. Restricted Boltzman Machines 3. Alternatives to RBM

Weeks 7 and 8: Deep Learning for Image Processing 1. Image Processing Challenges 2. Convolutional Neural Networks 3. Working with pre-defined feature sets

Weeks 9 and 10: Deep Learning for Text Processing 1. Processing Sequential Data 2. Recurrent Networks 3. Long Short Term Memory

Week 11 and 12: 1. Future Trends

Week 13: Review

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CRIM 9002 The criminal justice system Credits: 10 ECTS Timetable: Wednesday 6-8pm, starting week of January 22nd Student Competency. Students from social sciences. By way of introduction, the student will examine the various criminal justice models and the nature of the Irish system; the classes of criminal offences and the structure and functions of the courts of criminal jurisdiction. Key institutions and actors within the system, their roles and responsibilities, will then be scrutinised and the module will end with analysis of several challenging free-standing topics of relevance to Irish criminal justice today and in recent decades. Content: Models of Criminal Justice Role of An Garda Siochana and Other Agencies of Law Enforcement, with an emphasis on police accountability and the Garda Síochána Act 2005. Victims and Witnesses: coming in from the cold Classes of Criminal Offences: summary; indictable, hybrid; scheduled. Miscarriages of Justice in England and Ireland Role of prosecuting authorities: Chief Prosecution Solicitor; Director of Public Prosecutions (DPP); reviewability of decisions to prosecute by DPP; plea bargaining: does it exist in Ireland? A look at the presumption of innocence and its practical effect in Ireland-does it really have tangible effects? Judges: role and accountability; the Sheedy and Brian Curtin affairs. Structure and function of the Courts of Criminal Jurisdiction (including the European Court of Human Rights): status quo, recent developments and proposals for change. From the Criminal Justice Act 1984 to the Criminal Justice Act 2007: Some Reflections Origins and development of Jury System: re-examining the role of the jury in the modern criminal justice system; recent developments in other jurisdictions Risk and Criminal Justice in Ireland Role of the Probation Service: examining the evidence on effectiveness; what works? issues around resourcing. Prisons, Prisons Inspector and the Parole Board: is the prison system accountable? Aspects of Criminal Justice Criminal Justice Institutions Introduction to the Criminal Justice System

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CRIM 9005 Youth offending & youth justice perspectives Credits: 10 ECTS Timetable: Tuesday 6-8pm, starting week of January 22nd Student Competency. Students from social sciences. The module begins by examining the definitions and constructs which underpin much of our 'understanding' of youth crime. It draws on case examples - including concepts such as 'anti-social behaviour' and 'persistent offending' - to emphasize the manner in which youth crime has come to be 'understood' in contemporary society. Critical consideration is given to the causes and correlates of youth crime and the complexity and challenges associated with categorizations of risk and risk behaviour are addressed. These themes are built upon with discussion on the regulation of young people, their families and communities and by focusing on measures to control and manage their 'risk behaviour'. The second part of the module examines the philosophical underpinnings of the youth justice system in Ireland. It evaluates the legislative and policy approach adopted to respond to young people in contact with the criminal justice system. This part of the module also incorporates a strong comparative perspective and examines welfare, justice and rights-based responses to youth crime through an international lens, drawing on experiences from jurisdictions such as Finland, Canada and the UK. The third and final part of the module examines the micro aspects of the youth justice system response to young people. The rationale and critique of diversion is explored particularly in relation to mechanisms to divert young people from the criminal justice system and from detention. The role and impact of youth detention is examined drawing on national and international experiences, before concluding the module with a focus on reintegration and examination of the notion of young people being 'in' but not always 'of' the community. This final section incorporates issues and responses for young people that are cautioned, sentenced or on remand Content: Defining and 'Constructing' Youth Crime Diversion in the Youth Justice System : Rationale, Critique and Case Studies Explaining and regulating youth crime: Individual, family and 'community' Interventions with Young Offenders Reintegrating Young Offenders The Children Act and the Youth Justice System in Ireland The Children Court, Bail and Detention on Remand The content of the module will include the following Welfare, Justice and Rights: A Comparative Perspective Youth Detention

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CRIM 9014 Criminal psychology Credits: !0 ECTS Timetable: Thursday 4-6pm, starting week of January 22nd Student Competency. Students from social sciences. The aim of the module is to facilitate criminology students to develop a critical understanding of the key principles and applications of criminal psychology. The module will enable students to gain a critical understanding of the role of mental health in criminal behaviour along with an indepth psychological knowledge of a range of criminal offences. A further objective of the module is to facilitate students to develop a critical awareness of the psychological factors that may inform and impact on key investigative and courtroom processes in the criminal justice system. Content: The syllabus for the module includes the following: 1. Introduction to criminal psychology 2. Mental Health and crime: classification and assessment of mental disorders; mental disorders and criminal behaviour; insanity and competency 3. Violence and intimidation: domestic violence; stalking 4. Sexual offending 5. Terrorism 6. Criminal investigation: offender profiling, interviewing suspects; detecting deception, false confessions 7. Expert testimony and eye-witness evidence : role of the expert; accuracy of eyewitness evidence; children as witnesses 8. Jury decision-making

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CRIM 9015 Desistance: The route out of crime Credits: !0 ECTS Timetable: Wednesday 4-6pm, starting week of January 22nd Student Competency. Students from social sciences. The module critically examines the related, yet often distinct, fields of recidivism and desistance. Desistance is a growing area of research within criminology, while recidivism is a more established area of research. There is a growing awareness that in order to understand one, it is necessary to have an understanding of the other. If we are to truly understand why an individual desists and to assist the desistance process, it is important to also understand why many individuals continue to offend. With this in mind the module will analyse the key issues for both of definition, measurement and methodology, and the ethical and methodological questions that arise. The aim of the module is to provide students with a critical insight and understanding of the process of recidivism and desistance and the key factors involved in both, by drawing on the relevant theoretical literature, both national and international. This will enable students to develop a critical understanding of the role of the criminal justice system in contributing to or reducing both recidivism and desistance. The module will be divided into three parts. The first part will focus on desistance, the second on recidivism and the final part will draw the two areas together. Content: Indicative syllabus covered in the module and / or in its discrete elements Part A: Desistance • The definition of desistance. iii) Measurement. • Methodology. • Theoretical framework • Major international studies of desistance • Desistance in an Irish context. Part B: Recidivism • The definition of recidivism • Measurement. • Methodology. • Theoretical framework • Major international studies of recidivism • Recidivism in an Irish context. Part C: • Linking desistance and recidivism

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CRIM 9016 Policing and the governance of security Credits: !0 ECTS Timetable: Tuesday 4-6pm starting week of January 22nd Student Competency. Students from social sciences. The module critically examines the policing function in society by considering the issues of power, sovereignty and democracy. The evolution of policing as a social process will be examined to arrive at an understanding of the current organizational form of policing that we are familiar with in contemporary society. Increasingly civil society is being mobilised alongside private firms to contribute to the governance in a wider governance of security. This involves the underpinning of social order by the incorporation of these wider social institutions in crime control and public safety. In this context a broad ‘community’ of actors is mobilised where once the state acted as a solitary actor. The module takes its focus from sociological theory and trends in social policy and questions of governance. The module also presents this against a consideration of the role of the welfare state in creating social solidarity in the context of the globalisation of risk. The course also explores the politics of crime and community in the context of increased social and digital surveillance. The module also considers the emergence of the preventive turn together with the late modern regulatory state. Content: The Evolution of Modern Policing: concepts of ‘police’ and ‘policing’ through the ages; police as process and police as institutional structure; professionalization. Policing, Power and Democracy: Sovereignty, Legitimacy and Accountability; monopoly on violence; Plural Policing, Regulation and Governance – policing as a process; policing risk populations; environmental regulation and policing; financial policing, global policing. Nodal Governance of Security – the theory of nodal / network governance; late modern policing. Understanding Modernity and Late Modernity: The ‘problem of order’ in society; Sociological theory of late-modernity and post-modernity; ontological insecurity; inclusion, exclusion and social divisions; advanced marginality, ghettos and riots; citizenship, social order and social control; The ‘third way’ and the reflexive ‘life project’; ‘Etho-politics’ and self-conduct. Late Modern Welfare Regimes and the Risk Society: The late-modern state; The privatisation of risk; Fordism and Post-Fordism; Globalisation, ‘glocalisation’ and restructuring; the penalisation of poverty; the criminalisation of social policy; the Risk Society; the end of welfarism and the rise of ‘popular punitiveness’; the ‘responsibilisation’ thesis; hybrid adaptations to late modernity in Ireland’s “flexible, developmental state”. Theoretical Approaches to Governance: New forms of regulation - ‘Government’ to ‘Governance’; Governance, regulation and crime prevention; Crime prevention as ‘Etho-politics’; the Governmentality thesis; Understanding Networks and Crime Control: Network approaches to governance; the reflexive network; the panoptic network; the logic of network forms of organisation; policy networks. The Local Governance of Crime: crime prevention and government of territory; ; case study of youth crime prevention in Ireland; community as an ideological appeal; critical realism and ‘power dependence’; organisational cultures and local nuances. Communities and Crime Prevention in Comparative Terms: comparative analysis between Ireland and other societies / jurisdictions including UK, Canada, France

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CRIM 9017 Studies in victimology & crime prevention Credits: !0 ECTS Timetable: Thursday 6-8pm starting week of January 22nd Student Competency. Students from social sciences. The aim of this module is to examine the role of the victim in the study of crime. The origins of the discipline shall be examined, as well as contemporary research, service and legislative provisions. The module also discusses the emergence of crime prevention as the ‘preventive turn’ in social policy, criminal justice and policing along with the turn to the ‘risk society’. Key issues from contemporary research and debates are critically discussed in national and comparative terms. Content: Introduction, History, Definitions, Context Key concepts, theoretical perspectives Measuring crime victimization; victim surveys, including the BCS and Irish crime victim surveys Focus on a vulnerable population – child victimization Advocacy, victims right, victim services, international perspectives on victim supports Psychological, emotional effects of crime on victims Fear of crime, European Social Survey, Moral panics Restorative justice Typologies of Crime Prevention – Situational, Social, Criminal Justice measures, Individual measures. The Local Governance of Crime: Crime Control and Theories of Governance Crime prevention and government of territory Case studies of crime prevention models

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MATH 9952 Applied statistical modelling

Credits: 10 ECTS Timetable: Mondays 6.30pm – 9.30pm starting week of 22nd January Student Competency. This module is not an introduction to Statistics and assumes that applicants have already studied statistics at a suitable undergraduate level. A primary degree in mathematics, science, engineering or other numerate discipline where mathematics was studied as a significant component for three years 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.

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MATH 9953 Algorithms & approximation theory

Credits: 5 ECTS Timetable: Wednesdays 6.30pm – 9.30pm starting week of 22nd January Student Competency. A primary degree in mathematics, science, engineering or other numerate discipline where mathematics was studied as a significant component for three 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.

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MIOT H6012 Information transmission & management Credits: 10 ECTS Timetable: Thursdays 6pm-10pm starting week of 22nd January, ITB campus, Student Competency. Students developing research within engineering and computing. This module provides an overview of concepts and technologies used in the transmission and storage of information for modern IoT systems. It is intended to supplement the IoT embedded systems module by considering the higher level infrastructure that supports both “data concentration” and “store and forward” on IoT devices, and “data aggregation” in a large scale destination information repository in preparation for data analytics and other processes. Content: Identify and analyse various aspects of data transmission and storage Range of theoretical and practical considerations in the design of IoT systems. Operation of network protocols and why networking standards are critical element of the IoT. Range of wireless networking technologies. Benefits of different Client Server architectures for IoT systems. Message Oriented Middle-ware (MOM) Network communities that include resource limited devices. Database technologies currently in use.

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MUSM 9004 Ensemble 1 Credits: 5 ECTS Timetable: Starting week of January 22nd 2018

Irish Traditional Music Ensemble Mondays 10am-12noon DIT Rathmines Jazz Ensemble Mondays, 5-6pm DIT Rathmines Wind Ensemble: Wednesdays 5.30pm-7.30pm DIT Kevin Street Chamber Ensemble: Wednesdays as arranged, DIT Chatham Row

Student Competency. Students must be advanced instrumentalists and pass entry audition. Ensembles: Wind Ensemble, Symphony Orchestral, Chamber Ensembles Entry by audition This module gives students the opportunity to perform in various types of ensemble contexts: Major Ensemble such as Symphony Orchestra and Wind Ensemble; Chamber Ensembles and Accompaniment. Each instrumental student will be involved in at least one ensemble activity during the year. The nature of the ensemble is dependent on instrument/voice. Content Symphony Orchestra/Wind Ensemble/Irish Traditional Music Ensemble/Jazz Ensembles Students will play in orchestral/wind/traditional/jazz ensembles as appropriate and will prepare concert performances from the standard orchestral/wind ensemble//traditional/jazz repertoire. Rehearsals will focus on stylistic and interpretative issues, various aspects of ensemble playing including leadership skills, and developing a culture of professionalism amongst the players in relation to attendance, punctuality and commitment. Vocal Ensembles Students will attend Opera Ensemble/Opera Aria class for up to three hours weekly and will be involved in staged productions. Rehearsals will focus on performance skills, characterisation, working with a conductor, receptivity and creative response to stage direction, dramatic interpretation and movement, and on developing a culture of professionalism amongst the singers in relation to attendance, punctuality and commitment. Chamber Ensembles Students will focus on selected works from the chamber music repertoire. Coaching will focus on issues relating to style and interpretation, listening skills, sensitivity to the role of each instrument in the group and working together as an integrated ensemble. Chamber groups will be required to perform in recitals as appropriate.

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MUSM 9009 Technology in music Credits: 5 ECTS Timetable: Mondays 12 noon – 1.30pm for 12 weeks, starting Monday 22nd January 2018. Student Competency. The module is designed for student planning a career in music performance or music pedagogy. This module is divided into two units: Unit A deals with music recording skills; Unit B deals with use of technology in music performance and teaching. The purpose of the module is to equip students with technological skills to complement their artistic skills. Content: This module will focus on complementary technology competencies in music within music recording, performance and teaching contexts. Preparing for the Recording Studio Recording Skills for a Instrumentalist/Vocalist Technology in Music Performance Technology in Music Teaching

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MUSM 9011 Ensemble 2 Credits: 5 ECTS Timetable: Starting week of 22nd January 2018

Irish Traditional Music Ensemble: Mondays 10am-12noon, DIT Rathmines Jazz Ensemble: Mondays, 5-6pm DIT Rathmines Wind Ensemble: Wednesdays 5.30pm-7.30pm DIT Kevin Street) Chamber Ensemble: Wednesdays as arranged DITChatham Row)

Student Competency. Students must be advanced instrumentalists and pass entry audition. Ensembles: Wind Ensemble, Symphony Orchestral, Chamber Ensembles. A sense of progression of skills is expected from Ensemble 1. This module gives students the opportunity to perform in various types of ensemble contexts. Ensembles include Symphony Orchestra, Wind Ensemble, Irish Traditional Music Ensemble, Jazz Ensemble, Chamber Choir, Choral Society, Opera Ensemble and Chamber Music (for keyboard studies). . Each instrumental student will be involved in at least one ensemble activity during the year. The nature of the ensemble is dependent on instrument/voice. Students must participate in a public performance and there is an emphasis on the development of both professionalism (in relation to attendance, participation, commitment), artistry (in relation to the development of technical and interpretative awareness, critical skills and presentation and communication skills), teamwork and leadership skills. Content Instrumental Ensembles: Students will play in ensembles as appropriate and will prepare concert performances from the standard repertoire. Rehearsals will focus on stylistic and interpretative issues, aspects of ensemble playing including leadership skills, and developing a culture of professionalism in relation to attendance, punctuality and commitment. Vocal Ensembles: Students will attend Opera Ensemble/Opera Aria class weekly and will be involved in staged productions. Rehearsals will focus on performance skills, characterisation, working with a conductor, receptivity and creative response to stage direction, dramatic interpretation and movement, and on developing a culture of professionalism in relation to attendance, punctuality and commitment. Conductors: Conducting students will attend ensembles as appropriate and assist the director/conductor in preparation for concert performances. Rehearsals will focus on stylistic and interpretative issues, aspects of ensemble playing including leadership skills, and developing a culture of professionalism in relation to attendance, punctuality and commitment. Normally a conducting student would have the opportunity to conduct an ensemble in a performance context.

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MUSM 9013 Artistic research perspectives 2 Credits: 5 ECTS Timetable: Thursdays 6 – 7.30 pm every fortnight for 2 semesters starting 25th January 2018.

Please note that the module continues through semester 1 2018-2019. Student Competency. Students must have an undergraduate degree in music or equivalent. Following on from Artistic Research Perspectives 1, students will continue to attend and participate in ARP lectures. In the second semester students will present a paper of c. 20 minutes’ duration and deal with c. 10 minutes of questions and discussion. Content Students will have had experience of attending ARP lectures in year 1 and will independently develop skills of engaging with, questioning and critiquing papers they have attended. In preparation for delivering their own paper in semester 2, students will work closely with their dissertation supervisor.

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NMAD 1003 Applied optics: Polarisation of light Credits: 5 ECTS Timetable: Intensive course 23 – 27th April Student Competency. Students w1th a science or engineering background. 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.

Content:

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.

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PGRE 9005 Structured seminar C - leading and facilitating knowledge group work Credits: 5 ECTS Timetable: Seminar will meet 4 times over the semester, time and venue to be confirmed Student Competency. Students developing research within the creative and performing arts and Humanities The subject, through a collaborative and participatory peer learning process presents t he researcher with the opportunity to: Demonstrate leadership in the development of the research seminar process. Organize public dialogue around aspects of the research agenda of the seminar group. Content: The researcher is expected to demonstrate some leadership in terms of convening, chairing and leading specific sessions of the series, but also there is an opportunity to seed new seminar initiatives and build constituencies around the individual research project by constituting new networks and working groups. Part of this leadership is to be demonstrated in partnering with a new arrival in the School to help induct them into the research community.

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SOC 9003 Theory to practice

Credits: 5 ECTS Timetable: Tuesday 12-2 pm starting week of January 22nd Student Competency. Students from the social sciences The Integrated Seminars: Theory and Practice module will introduce expert speakers from successful corporate and care organisations. The aim of this module is to provide a forum where the students' academic, professional and personal learning are integrated and synthesised. The module seeks to expose students to a broader set of competencies and a wider knowledge base from the direct experiences of managers and leaders in for-profit (FP), not-for-profit (NP) organisations. The Integrated Seminars module will provide a time and space for students to understand how the theory and practice of management is applied in real examples so that they can broaden their knowledge beyond their own social care setting and integrate their academic learning with their practice. The module will involve presentations by expert speakers, each of whom will have a senior position in their organisation and who will address a particular aspect of management/leadership in their organisation/sector. Content: Examples of themes to be addressed are; change, strategy, innovation, culture, and conflict resolution. One organisation will be a non-profit with a global/development remit in order to expose students to management challenges in an international context. Students will be required to engage in round-table discussion on the learning and application of the examples presented. They will be required to do a group presentation and will be expected to use discussion boards in small group format. An individual learning portfolio will also be required at the end of the module.

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SOC 9005 Organisations: Culture change and learning

Credits: 10 ECTS Timetable: Tuesday 2-4pm starting week of January 22nd Student Competency. Students from the social sciences This module covers aspects of the topic of organisations such as how organisations impact on job satisfaction and motivation for the worker and the outcomes for clients, as well as factors which affect learning within organisations and readiness and resistance to organisational change. It facilitates students to assess the impact of organisational factors on their own work and delivery of services. Content: Indicative syllabus covered in the module and / or in its discrete elements Organisational Culture

Relationship between culture and power Culture and decision making Culture and learning The impact of culture on clients

Organisational Identity and Relationships

Communication and psychological contracts Job satisfaction and motivation Justice and whistleblowing Diversity and belongingness Change readiness and resistance

Psychodynamics of Organisations

The basis of the psychodynamics of organisations – the work of Freud and Klein Dependency, anxiety and defence mechanisms within organisations Psychodynamic explanations of resistance and readiness to learning and change

The Organisation as a Site for Learning

Theoretical perspectives – communities of practice; cultural history activity theory; reflective learning The learning aspect of supervision Learning through interprofessional working

Human Resource Management in Organisations

The role and duties of human resource management

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SOC 9006 Critical social policy

Credits: 10 ECTS Timetable: Tuesday 4-6pm starting week of January 22nd Student Competency. Students from the social sciences The aim of this module is to provide learners with a range of theoretical, conceptual and practical tools to be utilised in the tasks of understanding and influencing debate and decision-making in the sphere of social care policy. The module is underpinned by the concept of social justice and learners will acquire the knowledge and skills to engage in strategies to influence social care policy towards more equitable approaches and outcomes. Learners will also acquire the conceptual tools to critically assess the key influences on social care policy currently. Content: Perspectives on social justice (for example egalitarian, community development and feminist theories, principles and values) Irish social care in a changing policy context Policy making and the policy process The advocacy role of social care managers: Critically examining values, aims and approaches Influencing policy-the role of old and new media The Art of Influencing: Assessing the effectiveness of skills, tools and strategies for influencing public and political opinion

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SSPL 9112 Geospatial engineering for BIM Credits: 5 ECTS Timetable: Mondays and Wednesdays for 4 weeks starting 22nd January, from 6 – 9 pm DIT Bolton St. Student Competency. Intended to enable students from construction-related disciplines other than geomatics engineering and surveying to gain an understanding of the tools and methods appropriate to BIM in geomatics engineering and surveying. The emergence of BIM (variously interpreted as Building Information Modelling or Building Intelligence Management) as a new method of collaboratively designing and managing buildings or infrastructure over their entire lifecycles requires new interactions with geospatial data. Among these is the increasing usage of 3D point cloud data (PCD) to support asset capture, as-built information capture, setting out, construction management, and long-term facilities management. A vast array of software exists to support these functions and many BIM applications have a developing set of tools for the import, in-project coordination, and exploitation of point cloud data. These data can be used as a base for creating and updating digital BIM models and the point clouds can also be used directly for visualisation and clash detection. This module, Geospatial Engineering for Building Information Modelling, introduces the learner to the theory of the Building Intelligence Management paradigm and to emerging and industry-standard BIM technology application toolsets. The learner will develop a knowledge-base of techniques for importing and coordinating point cloud datasets within BIM projects. The learner will also develop knowledge of, and application of, the use of survey datasets as the base information to create a digital representation of the physical and functional characteristics of a facility/infrastructure. Content: Introduction to collaborative BIM Evaluation of industry standard, open source, and emerging BIM applications Import and coordinate point cloud data Introduction to BIM primary building and infrastructure element tool sets Development of workflows for creating different types of BIM model from the point cloud through the application of novel solutions Point cloud utilisation for clash detection, setting out and construction management Exploitation of the information component of BIM Standard methods for data exchange and survey specification options Metadata and data management requirements

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STMG 9002 Strategic revenue management & distribution

Credits: 10 ECTS Timetable: Wednesday 11 am – 1 pm starting week of 22nd January M1.03 Marlborough St 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)

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STRT 9001 Structural analysis & dynamics

Credits: 5 ECTS Timetable: Wednesday 6-8 pm starting week of 22nd January 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%20Assessment

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TFEV 9000 Emerging issues in hospitality, tourism & event

Credits: 10 ECTS Timetable: Tuesday 2-6 pm starting week of 22nd January, G06 Mountjoy Square Student Competency. Students should be studying Hospitality / Tourism / Events / Management 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. Content: 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

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TFEV 9002 International event management Credits: 10 ECTS Timetable: Tuesday 9-11 am starting week of 22nd January M2.04 Marlborough St Student Competency. Students should be studying Hospitality / Tourism / Events / Management 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. Content:

• 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

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TOUR 9001 International tourism trends, markets & products

Credits: 10 ECTS Timetable: Wednesday 9-10 am and 12-2 pm starting week of 22nd January M2.08 and M2.09 Marlborough St Student Competency. Students should be studying Hospitality / Tourism / Events / Management 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. Content:

• 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

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Employability Skills Modules

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BIOL 9223 Research Methods & Biostatistics Credits: 10 ECTS Timetable: Blended delivery, dates to be confirmed Student Competency. Suitable for all students who are in a biological/life science area; ideal for Year 1. The aim of this module is twofold: - to provide the student with the skills necessary to design, perform, evaluate and disseminate modern hypothesis driven scientific research; - to provide the student with both theoretical understanding and practical competency in contemporary biostatistical methods. Content: Design and management of scientific research projects including hypothesis formulation, project management, sample collection and storage, record keeping and data storage, research funding and ethical applications, evaluation of grant and ethical applications; - Theoretical basis of biostatistics: Probability, independence, statistical testing, correlation and regression analysis, univariate versus multivariate analyses; - Epidemiological methodology: descriptive, observational and interventional studies (clinical trials); - Practical statistical analysis: Data analysis using Excel and SPSS; - Dissemination of data: uses-and-abuses of presentation software; the importance of clarity in visual representations of data; practical presentation skills (including analysis of video presentation); scientific writing; the anatomy of a scientific manuscript; approaches to literature and reference management

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BIOL 9238 Bioinformatics and Data Analysis Credits: 5 ECTS Timetable: one day per week for 3 weeks - exact dates to be confirmed Student Competency. Suitable for all students who are in a biological/life science area; ideal for Year 1. This module aims to provide an insight into the bioinformatics tools available for the acquisition and analysis of DNA, RNA and protein sequences and to evaluate the use of these tools in the biomedical and biotechnology arenas. Students will learn the skills required to access nucleic acid sequences and to design tests for the detection of mutations / alterations in those sequences . The module also aims to familiarize students with the construction of a database using statistical software (PASW) and to evaluate and apply this statistical software (PASW) in the analyses and presentation of biomedical data. In addition, students will learn to interpret and critically evaluate the output from the statistical analyses of data. Content: The structure of the human genome The structure of eukaryotic and prokaryotic genes NCBI, ENSEMBL and UCSC genome databases PCR Primer design software Bioinformatics requirements for PCR, RT-PCR, qPCR Application of bioinformatics resources for the design of diagnostic tests PASW statistical software The appropriate use and interpretation of statistics in the analyses of data Descriptive and inferential statistical analyses of data of biomedical and biotechnological interest Statistical methods for the exploration of association, agreement, changes and differences in databases

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GradCAM S201G Epistemic practice B – Issues in communicating and disseminating research

Credits: 10 ECTS Timetable: Thursdays 2-5 pm starting week of 22nd January Student Competency. PhD candidates in the creative and performing arts 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 Content 1. On research ethos and ethics‟ 2. Research communications for the early stage researcher 3. Academic conventions 4. Textual production within a research project 5. The politics of the archive 6. Textuality and orality 7. Image and text 8. Visual research 9. Methodologies in design research 10. Sound as object: the object of sound 11. Discursive practices 12. On research ethos and „listening-rhetoric‟ Workshop Series

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GradCAM S401 Epistemic practice D Collaborative publishing Credits: 5 ECTS Timetable: Meeting four times over the semester, time and venue to be confirmed Student Competency. Students developing research within the creative and performing arts and Humanities The subject, through a team-based and participatory teaching and learning process presents the researcher with the opportunity to: Acquire practical experience in co-authoring and co-publishing Acquire competency in negotiation and teamwork in a research action. Content In addition to ongoing participation in the seminar series the researcher is expected to participate in a series of workshops and to generate a collaborative publication or other public output rooted in the seminar topic and/or their personal research. Workshop Series This module is primarily driven by the production of a collaborative text or other research output that is substantially co-authored with one or more partners. Indicative workshop topics include: 1. Collaborative writing processes and the challenge of intellectual and cultural dialogue. 2. Intellectual property issues in collaboration and partnership. 3. Cases studies of research collaboration in the creative arts and media sector 4. Curatorial models as paradigms of emergent collaboration Workshop topics are developed in consultation with the specific cohort and will typically reflect the convergence of needs within a given group

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GRSO 10XX Work-based learning and employability skills

Credits: 5 ECTS Timetable: Work-based students will engage in a 2 day introduction to this module. To be validated Student Competency. Students must spend some or all of their time in industry or other professional environments eg research students funded by the Irish Research Council through their Employment-based and Enterprise Partnership schemes. A number of research students may spend some or all of their time in industry or other professional environments. This is particularly true for research students funded by the Irish Research Council through their Employment-based and Enterprise Partnership schemes. In addition to their research, these students also undertake periods of planned work-based learning which is completed within the organisation in a market sector that is closely aligned with the student’s research programme. This module allows students to apply theoretical knowledge acquired as part of their research to a real life setting. In addition, students will be able to acquire new skills as part of this module. Their learning is demonstrated by completing a work-based reflective journal, which is assessed. Content Introduction to work-based research Introduction to the Workplace Work based learning

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GRSO 1001 Research methods

Credits: 5 ECTS Timetable: Towards end of semester, exact dates TBC Student Competency. Students should be in the first year of their research in any discipline The purpose of this module is to introduce students to different research methodologies and to help students to think about methodologies not just for their own research area but also to understand the range of skills and abilities in a wide range of disciplines. The module provides targeted support for in-depth discipline-specific training step by step through the process of undertaking a literature review, using a systematic and comprehensive approach Content: Thinking critically, thinking theoretically Identifying and formulating research questions Designing and planning research Literature reviews Data collection and analysis Reflection and communication Reporting research

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GRSO 1005 Introduction to statistics

Credits: 5 ECTS Timetable: To be confirmed. Likely to be block delivery over approx. 4 weeks towards end of semester 2 (possibly Fridays week 9 onwards). Student Competency. Students should be in the first year of their research in any discipline This module is designed for PhD and Masters students in all disciplines and provides a foundation in the principles and use of data analysis and statistics. It requires no previous statistical background or third-level mathematical knowledge and aims to provide students with the skills to identify and understand the major themes and uses of formal quantitative methods used in research. The module will identify and promote an awareness of the use of statistics and data analysis across all research disciplines with examples taken from the arts & humanities, business, engineering and science. By the end of the module, the student will be able to identify what areas of their own research might require data analysis and be aware of issues that need to be addressed when designing a process of data collection and analysis. Content: Orientation: the role of data analysis in research and the formal statistical method. Case studies: quantitative analyses applied in a number of subject areas; the advantages of formal data analysis and common pitfalls encountered. Identifying the role of data analysis in my research. Sampling variability and sample design. Describing data. Data visualisation. The probabilistic underpinnings of statistical data analysis. What are Statistical Models for data?: formulating a model; confidence intervals; hypothesis tests. Reporting results. Practical skills in dealing with data: using statistical software

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GRSO 1010 Introduction to pedagogy for postgraduates

Credits: 5 ECTS Timetable: Tuesdays at 10am – 12 noon for 8 weeks from 23rd January 2018 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.

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MECH 9002 Innovation & knowledge management

Credits: 5 ECTS Timetable: Wednesday 8-10pm starting week of 22nd January Student Competency. All research students are eligible. Skills to manage innovation and knowledge on a sound business footing are increasing in importance with the introduction of sustainability indices. These indices rate companies on how they are managing their total financial, human and intellectual capital to ensure their long-term survival. This module will provide students with a broad understanding of why innovation and knowledge management are so important, and in addition give students the skills needed to manage innovation and the resulting knowledge. The aim of this module is to instil in students an awareness of knowledge and innovation management theory and terminology; to investigate the enabling tools and technologies, and to equip the students to manage innovation and intellectual capital for a company. Content Innovation Strategies Innovation perspectives, concepts and models The importance of a structured innovation strategy Competitor benchmarking Innovation methodologies, such as TRIZ Managing innovation Disruptive technologies Knowledge Management Basics Knowledge management (KM) perspectives, concepts and models The cycle of knowledge Knowledge - the shift from tacit towards explicit The knowledge economy and motivational external competitive factors for KM From Taylorism to knowledge workers: the need for change Generating-Evaluating-Sharing Knowledge Communities of practice Knowledge management, - the organisation and cultural implications The role of managers in the KM system Technical Aspects Business Aspects

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MIOT H6014 Statistical analysis for engineers Credits: 5 ECTS Timetable: TBC Blended learning with a mix of online & Face-to-face sessions ITB Campus Student Competency. Students developing research within engineering and science. The purpose of this module is to provide the learner with the statistical concepts and tools necessary for research in a field of engineering. The module will underpin specific engineering topics such as statistical process control, quality control and reliability analysis. To do this, the learner will cover the fundamental ideas of probability and descriptive statistics, moving on to Hypothesis testing and the design of experiments. This learning is complemented by an introduction via practical classes to several statistical software packages programs. Students are provided with the skills both to plan and carry out research and the ability to both read and critique the research of others in engineering. Content: Laws of probability to questions involving random variables and events, and move on to the concept of a random variable and its distribution, the meaning of expected values, and the properties of common distributions such as the normal, binomial, Poisson and exponential distributions. Random variables and their distributions, including the central limit theorem, to concepts in quality control. Concept of a statistic as a random variable arising from sample data, with the central limit theorem determining the behaviour of such statistics and thereby underpinning many statistical tests, and so apply a range of statistical tests. Analysis of Variance and other statistical tests. Range of typical statistical packages

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MIOT H6022 Research methods Credits: 5 ECTS Timetable: Tuesdays 6pm-10pm starting week of 22nd January, ITB campus, Student Competency. Students should be in the first year of their research in any discipline, but particularly engineering and computing students. This research methods module will prepare the graduate to undertake research and will enable the learner to evaluate the various research methods and to understand stages in the research process. Experimental designs are compared and contrasted and the learner will be required to complete a comprehensive literature review to support their own research proposal. Content: Identification of methods and procedures appropriate for addressing selected research and evaluation topics and problems. Sourcing and reporting on relevant existing work and research relating to a project question as part of a literature and technology review, Demonstrating appropriate academic citation and referencing Purposes and general procedures involved in experimental design and data gathering techniques.

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RESM 9005 Hospitality, tourism, leisure & event research workshop Credits: 5 ECTS Timetable: 2 hours per week, for 12 weeks, DIT Cathal Brugha St. Student Competency This module is open to all interested students who are studying at Level 10. This module adopts a team-based and participatory teaching and learning approach to provide PhD research candidates with the opportunity to:

● Participate in a research community focused on accessing and developing advanced knowledge

● Further their knowledge of cognate research areas ● Develop critical analytical skills ● Develop writing skills and/or presentation skills and/problem solving skills ● Develop teamwork competencies

Content

The content comprises a series of workshops dedicated to the practise of research at Level 10 and a series of theme-based sessions (themes to vary)

Indicative content (to vary based on composition of student body)

1. Reading at Level 10

2. Critical thinking at Level 10

3. Writing at Level 10

4. Reflecting at Level 10

5. Introducing the research theme

6. Thinking about theory, concepts & evidence

7. Methodological possibilities

8. Applying ideas to research projects/ contexts

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STAT 1950 Statistical analysis for engineers

Credits: 5 ECTS Timetable: Wednesday 6-8pm starting week of 22nd January DIT Bolton St Student Competency. Engineering graduates In this module the learner is progressed from an introduction to statistical methods, to a comprehensive overview of statistical methods and techniques used in engineering research. This learning is complemented by an introduction via practical classes to several statistical software programs. Students are provided with the skills both to plan and carry out research and the ability to both read and dissect other research in engineering.<br>The aim of this module is to instil in students an awareness of, and competency in, statistical methods, to equip them with the tools to critically analysis research papers and data, and introduce them to several statistical software packages to enable them to analyse data. Content Statistics, Probability, Mutually Exclusive and Independent Events Conditional Events, Conditional Probability, Expectation, Moments Discrete and Continuous Distributions Estimation of Parameters, Tests of Significance (z, t, c2 , F) Analysis of Variance, Experimental Design Quality Control Introduction to Statistics Packages (R, Minitab and SPSS) Data Analysis, Survey Methods Regression and Correlation Critical Analysis of Engineering Research Papers Group Project on Data Analysis with Short Presentation Introduction to Multi-Variate Methods

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TFXX 10XX Exploring research methodologies for level 10 in hospitality, tourism, leisure and events Credits: 5 ECTS Timetable: Wednesday 6-8pm starting week of January 22nd Student Competency. Students should be pursuing a research degree programme in the area of Hospitality, Tourism, Leisure and Event Management. This module will provide critical knowledge on both traditional and non-traditional methodologies employed within the multidisciplinary research areas of Hospitality, Tourism, Leisure and Event. The complexity of this module warrants an integrated input from a number of discipline areas and will provide guidelines for responsible research practise within the sector. It will foster the following skills required within Hospitality, Tourism Leisure and Event: Critical writing , Argument, articulation and communication, Critical evaluation and reflection, The ability to synthesise information, Individual responsibility for approach chosen, Team working Content: The PhD – an overview of the process within the multidisciplinary area of Hospitality, Tourism, Leisure and Event The responsible approach to research and The need for ethical approval Using a philosophy to underpin your approach: paradigmatic principles Critical review of epistemology/ontology within Hospitality, Tourism, Leisure and Event Your philosophy/ your approach Introduction and use of Quantitative Methodologies within Hospitality, Tourism, Leisure and Event An Introduction and use of Qualitative Methodologies within Hospitality, Tourism, Leisure and Event A Pragmatic Approach: Using Mixed Methods within Hospitality, Tourism, Leisure and Event Tools and specifics of qualitative/quantitative and mixed methodologies i.e. surveys, questionnaire, use of case studies, interviews, focus group, diaries, narrative, ethnography, grounded theory, participative. To include sampling, data collection, methods of analysis, interpretation, write-up and dissemination Tools and specifics of qualitative/quantitative and mixed methodologies i.e. surveys, questionnaire, use of case studies, interviews, focus group, diaries, narrative, ethnography, grounded theory, participative. To include sampling, data collection, methods of analysis, interpretation, write-up and dissemination Tools and specifics of qualitative/quantitative and mixed methodologies i.e. surveys, questionnaire, use of case studies, interviews, focus group, diaries, narrative, ethnography, grounded theory, participative. To include sampling, data collection, methods of analysis, interpretation, write-up and dissemination Writing the Methodology chapter for the Hospitality, Tourism, Leisure and Event thesis: what should it include Guest speaker focusing on topic of relevant within Hospitality, Tourism, Leisure and Event: eg. Using technology as part of the HTLE PhD research process (social media, internet, platforms, survey monkey etc.) Poster/eposter/visual presentation guided by a series of questions Feedback/discussion and review

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National PhD Programmes

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AFGDP - Agri-Food Graduate Development Programme

The AFGDP is a National initiative developed to provide intensive 3 day modules on a range of topics from agri-food scientific themes to transferable skills. Researchers have found these modules invaluable in preparing them for employment in the sector, be it in academia, research or industry. Modules carry 5 ECTS credits. The programme is funded by the Department of Agriculture Food and the Marine (DAFM), modules are free to attend for agri-food researchers from Universities and Research Institutions in Ireland. However you should register your details on-line at http://afgdp.ie/ to sign up for a module and be first to be notified as they become available. Once you have confirmation of a place on any of these modules you should inform the DIT Graduate Research School via e-mail to Mary.McNamara@dit.ie. There is no need to complete a PGR 6 form. Example of modules available are as follows:

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FlexiLearn

FlexiLearn is a National repository for postgraduate education and continuous professional development, supported by a Virtual Learning Environment (VLE) enabling remote and block-delivery of courses. Modules are offered via Graduate Research Education Programmes (GREPs) including INSPIRE (Nanoscience), TGI (Telecommunications) and ICGEE (Micro- and nano-Engineering). These GREPs have pooled resources to provide a national catalogue of modules to postgraduate students in the following categories:

You can sign up for modules on-line at http://www.flexilearn.ie/. Once you have confirmation of a place on any of these modules you should inform the DIT Graduate Research School via e-mail to Mary.McNamara@dit.ie. There is no need to complete a PGR 6 form.

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