737 Courses in London delivered Live Online

  ISO 14001 Lead Auditor training enables you to develop the necessary expertise to perform an Environmental Management System (EMS) audit by applying widely recognized audit principles, procedures and techniques. About This Course   During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process. Based on practical exercises, you will be able to master audit techniques and become competent to manage an audit program, audit team, communication with customers, and conflict resolution. After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain "Certified ISO 14001 Lead Auditor' Certificate. By holding this Certificate, you will demonstrate that you have the capabilities and competencies to audit organizations based on best practices.    Learning objectives   Understand the operations of an Environmental Management System (EMS) based on ISO 14001 Acknowledge the correlation between ISO 14001, ISO 14040 and other standards and regulatory frameworks Understand an auditor's role to: plan, lead and follow-up on a management system audit in accordance with ISO 19011 Learn how to lead an audit and audit team Learn how to interpret the requirements of ISO 14001 in the context of an EMS audit Acquire the competencies of an auditor to: plan an audit, lead an audit, draft reports, and follow-up on an audit in compliance with ISO 19011   Educational approach   This training is based on both theory and best practices used in EMS audits Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam Prerequisites   A fundamental understanding of ISO 14001 and comprehensive knowledge of audit principles.  Who Should Attend?   Auditors seeking to perform and lead Environmental Management System (EMS) certification audits Managers or consultants seeking to master an Environmental Management System audit process Individuals responsible for maintaining conformance with EMS requirements Technical experts seeking to prepare for an Environmental Management System audit Expert advisors in Environmental Management What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam   Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success. Provided by   This course is Accredited by NACS and Administered by the IECB

About this Training Course In today's business environment, there has never been more of a need to make Asset Management and Maintenance more cost effective and efficient. By utilising the Reliability Centred Maintenance process (RCM), you can increase safety performance, reduce maintenance costs, improve the effectiveness of your operations, boost machine uptime, and gain a greater understanding of the level of risk your organisation manages. RCM is just one component of an overall integrated Asset Management Process. All participants will complete detailed pre-course questionnaires before this 3 full-day course, enabling the trainer to tailor course content in order to meet specific delegate needs. Participant objectives are re-visited before, during and after the course, allowing the trainer to focus on outcomes and address any participant concerns and specific issues during the program. Training Objectives At the end of this course, participants will be able to: Develop skills to carry out successful RCMs and introduce the RCM process into their own and their company's daily activities. Be aware of our changing business environment and the need to apply RCM to drive continuous improvement, in safety, cost reduction, and minimise their environmental footprint Understand the impact of human reliability and the various methods used to improve this important area Understand the basics of Change Management and the methods used to securely anchor this process and make it routine Develop an appreciation for a holistic 'Asset Management' program, and know where the RCM process fits in, and the benefits it will deliver Target Audience Reliability Centred Maintenance is primarily a team activity and benefits from a cross functional team participation. This course is aimed at managers, engineers, technicians and operators at all levels who are responsible for the operation and maintenance of plant equipment and who will benefit from the elimination of bad actors (recurring equipment failure) and continuous improvement in the areas of safety, environmental impact, reliability and integrity. Trainer Your expert course leader has enjoyed a 37-year career with Shell International in a variety of leadership roles predominantly in Turnaround, Maintenance and Engineering Management before he left in late 2017 to pursue his interest in Turnaround and Maintenance Management consultancy. He has undertaken several Asset Management and Engineering positions within Shell Australia including the implementation and establishment of formal Reliability Studies including FMEA, RCA, RCM, Maintenance Planning and Turnaround Management programs at Geelong Refinery. Additionally, he was appointed Shell's Regional Turnaround Advisor within Australia and South East Asia supporting Shell Operating Companies throughout several Australasian and European sites. In more recent times, he had been engaged to implement and establish a formal Turnaround Management program within Brunei Shell Petroleum as well as becoming the appointed Regional Turnaround Management Subject Matter Expert (SME), TA Network and Governance & Assurance lead for Shell within the Shell Australasian, Russian Federation and Indian Sub-Continent OpCo community. His career repertoire includes hands-on practitioner, supervisory, reliability, contracts and management roles and he holds several maintenance and engineering tertiary qualifications including an Associate Diploma in Mechanical Engineering. He has presented at several Maintenance, Reliability, Asset Management & Turnaround forums and conferences. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

  ISO 13485 Foundation training enables you to learn the basic elements to implement and manage a Medical Devices Quality Management System (MDQMS) as specified in ISO 13485. During this training course, you will be able to understand the different modules of a MDQMS, including MDQMS policy, procedures, performance measurements, management commitment, internal audit, management review and continual improvement. After completing this course, you can sit for the exam and gain "Certified ISO 13485 Foundation' Certification. This Certificate shows that you have understood the fundamental methodologies, requirements, framework and management approach.  About This Course   Learning Objectives Understand the elements and operations of a Medical Devices Quality Management System (MDQMS) Acknowledge the correlation between ISO 13485 and other standards and regulatory frameworks Understand the approaches, methods and techniques used for the implementation and management of a MDQMS   Course Agenda Day 1: Introduction to Medical Devices Quality Management System (MDQMS) concepts as required by ISO 13485 Day 2: Medical Devices Quality Management System requirements and Certification Exam   Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 40 question, multiple choice exam on Day 2 of the course. The overall passing score is 70%, to be achieved within the 60 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success.   Prerequisites   None What's Included?   Certification fees are included on the exam price Training material containing over 200 pages of information and practical examples will be distributed An attestation of course completion worth 14 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. Who Should Attend?   Individuals involved in Medical Devices Quality Management Individuals seeking to gain knowledge about the main processes of Medical Devices Quality Management Systems (MDQMS) Individuals interested to pursue a career in Medical Devices Quality Management Accreditation Provided by   This course is Accredited by NACS and Administered by the IECB

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Airport Customer Service and Operations Course Overview This course provides a comprehensive introduction to airport customer service and operational functions essential for smooth airport management. Learners will explore key areas such as passenger service, airport facilities, security protocols, emergency procedures, and weather-related operations. Designed to enhance understanding of both customer-facing roles and behind-the-scenes airport activities, the course equips participants with the knowledge to contribute effectively in a dynamic aviation environment. Upon completion, learners will be confident in identifying airport components, handling security operations, managing emergency situations, and appreciating sustainability initiatives, preparing them for diverse roles within the airport industry. Course Description Delving deeper into the multifaceted operations of airports, this course covers vital topics from the fundamentals of customer service to the complexities of airport infrastructure and security management. Learners will gain insight into the coordination required for effective security operations and the protocols followed during aircraft and airport emergencies. The course also addresses the impact of weather control and the growing importance of sustainable practices in airport operations. Through a structured and detailed learning experience, participants will develop the skills to support operational efficiency and deliver exceptional service within the fast-paced aviation sector, enhancing both personal competence and career potential. Airport Customer Service and Operations Curriculum Module 01: Airport Customer Service Module 02: Airport Components Module 03: Security Operations Module 04: Airport and Aircraft Emergency Situations Module 05: Weather Control Operations Module 06: Sustainable Airport Operation (See full curriculum) Who Is This Course For? Individuals seeking to build a career in airport customer service and operations. Professionals aiming to enhance their knowledge of airport management and security. Beginners with an interest in aviation and airport industry roles. Those planning to work in airport administration, passenger assistance, or related sectors. Career Path Airport Customer Service Agent Airport Operations Coordinator Security Officer in Aviation Emergency Response Officer Weather Operations Specialist Sustainability Coordinator in Airport Management

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Duration 5 Days 30 CPD hours This course is intended for Candidates for this course design, develop, secure, and troubleshoot Power Platform solutions. Candidates implement components of a solution that include application enhancements, custom user experience, system integrations, data conversions, custom process automation, and custom visualizations. Candidates will gain applied knowledge of Power Platform services, including in-depth understanding of capabilities, boundaries, and constraints. Overview After completing this course, students will be able to: Create a technical design Configure Common Data Service Create and configure Power Apps Configure business process automation Extend the user experience Extend the platform Develop Integrations The Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes. In this course, students will learn how to build Power Apps, Automate Flows and extend the platform to complete business requirements and solve complex business problems. Create a model-driven application in Power Apps This module introduces you to creating a model-driven app in Power Apps that uses Common Data Service. Get started using Common Data Service This module will explain the concepts behind and benefits of Common Data Service. Creating an environment, entities, fields and options sets are also discussed. Create a canvas app in Power Apps This module introduces you to Power Apps, helps you create and customize an app, and then manage and distribute it. It will also show you how to provide the best app navigation, and build the best UI using themes, icons, images, personalization, different form factors, and controls. Automate a business process using Power Automate This module introduces you to Power Automate, teaches you how to build workflows, and how to administer flows. Create a business process flow in Power Automate This module introduces you to creating business process flows in Power Automate Introduction to developing with Power Platform This module is the first step in learning about platform, tools, and the ecosystem of the Power Platform Extending the Power Platform user experience Model Driven apps This module describes how to create client scripting, perform common actions with client script, and automate business process flow with client scrip. Learn about what client script can do, rules, and maintaining scripts. Discover when to use client script as well as when not to use client script. Create components with Power Apps Component Framework This module describes how to get started with Power Apps Component Framework with an introductory module on the core concepts and components. Then it shows you how to build a component and work with advanced Power Apps Component Framework features. Extending the Power Platform Common Data Service This module looks at the tools and resources needed for extending the Power Platform. We'll start with looking at the SDKs, the extensibility model, and event framework. This learning path also covers when to use plug-ins. Configuration of plug-ins as well as registering and deploying plug-ins. Integrate with Power Platform and Common Data Service This module describes how to integrate with Common Data Service using code by learning about Common Data Service API. Get an in-depth overview of options available with Common Data Service to integrate data and events to Azure. Extend Power Apps portals This module describes how to transform a content portal into a full web app interacting with Common Data Service. We will also cover the options available to customizers and developers to extend the portal functionality and integrate with Office 365, Power Platform, and Azure components. Additional course details: Nexus Humans PL-400T00 Microsoft Power Platform Developer training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PL-400T00 Microsoft Power Platform Developer course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Program Management Skills: Virtual In-House Training Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Essential 5G training course description This course is designed to give delegates an explanation of the technologies and interworking requirements of the next generation of cellular communications. It is not a definitive set of descriptions but a possibility of the final deployment. we will investigate the 10 pillars for 5G which will include various Radio Access Technologies that are required to interwork smoothly. We will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Describe the 5G Internet. Explain virtualization and RAT virtulization. Describe Software Defined Networks (SDN). Explain carrier aggregation. Describe the mobile cloud. Explain an overall picture of 5G architecture. Essential 5G training course details Who will benefit: Anyone looking for an understanding of the technologies and interworking requirements of the next generation of cellular communications. Prerequisites: None. Duration 3 days Essential 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, oSON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE Advanced MIMO technology in release 8, Downlink & uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB & remote base station configurations, Downlink CoMP. ICIC & eICIC ICIC, Homogeneous to heterogeneous network evolution, Introduction to eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), CC aggregation deployments, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configs. eIMTA TDD UL-DL reconfig. for traffic adaptation, Reconfig. mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, 5G in North America, academy research, company R&D, 5G specifications. The 5G internet High-level view of Cloud Services, The Internet of Things & context awareness, Network reconfiguration & virtualization support, server proliferation, how VMs fix underutilised server problem, enter the hypervisor, why are VM such a big deal? SDN, evolution of the data centre network, high availability, low latency, scalability, security, cost model explodes, service-oriented API. OpenFlow switches, OpenFlow controllers, how SDN works. The big picture, pulling it all together, why the network had to change, how SDN & NFV tie together. Evolutionary approach to the internet, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture. VNet, INM, NetInf, ForMux, MEEM. Generic Path (GP) & anchorless mobility (AM), Quality of Service support, network resource provisioning, resourcing inside a network. IntServ, RSVP, DiffServ, CoS. Emerging approach for resource over- provisioning, example use case architecture for scalable resource control scenarios in the 5G internet. Integrating SDN/NFV for efficient resource over-reservation control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations & operations. Small cells for 5G Average spectral efficiency evolution, WiFi & Femto cells, Capacity limits. Achievable gains with densifications, multi-antenna techniques, small cells. Mobile data demand, approach & methodology, subscriber density and traffic demand projections to 2020. Demand versus capacity, global mobile data traffic increase modelling, country level backhaul traffic projections, Small cell challenges, backhaul, spectrum, automation. Cooperation for next gen wireless networks Diversity & relaying strategies, cooperation & network coding, ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol analysis, NCCARQ overview, PHY layer impact, Case study on NCCARQ. Mobile clouds Mobile cloud, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4 & software stacks, infrared, near field communications (NFC). Network coding, store & forward vs compute & forward, linear network coding, random linear coding. Security for 5G communications Potential 5G communication systems architectures, Security issues & challenges. Mobile malware attacks targeting the UE, 5G mobile botnets, access networks, attacks on 4G networks, C-RNTI & packet sequence number based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, credential attacks, configuration and protocol attacks, attacks on MON, user data & identity attacks, mobile operator's core network, DDoS attacks targeting MON, signalling amplification, HSS saturation, external IP networks.