477 Engineer courses in Leatherhead

Mobile IP training course description A detailed examination of the protocols and architecture of Mobile IP. What will you learn Recognise the benefits of ADSL. Configure and troubleshoot IS-IS. Explain how IS-IS works. Describe the use of Level 1 and Level 2. Design IS-IS networks. Mobile IP course details Who will benefit: Technical staff wanting to learn DNS.Network Administrators. Support personnel. Prerequisites: TCP/IP Foundation Duration 2 days Mobile IP course contents Introduction Quick review of IP, What is Mobile IP? What Mobile IP provides, Mobility requirements, Where Mobile IP is required, where mobile IP is not required, DHCP as an alternative, Proxy ARP as an alternative. Architecture Mobile node, home network, home agent, Foreign agent, Fixed home address, Care of address, Correspondent node, Tunnelling. How Mobile IP works Using two addresses, issues with TCP, discovering the care of address, registering care of address, tunnelling the care of address. The protocols involved. Issues with Mobile IP Routing inefficiencies, Security and firewalls, ingress filtering, QoS. MIP and IPv6 Stateless address configuration, Neighbour discovery, miscellaneous.

XSLT training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Transform and style XML documents using XSLT. XSLT training course details Who will benefit: Anyone working with XSLT. Prerequisites: XML primer Duration 2 days XSLT training course contents Introduction Extensible Stylesheet Language (XSL), transforming and formatting XML. XML refresher The basic rules for building an XML document. An introduction to XSLT The basic concepts of XSLT, xsl:output, xsl:template, xsl:value-of. XML documents as trees How the original XML is transformed into a set of nodes, the general terms for manipulating node trees. Paths (XPath) Use of path matching to select required nodes for transformation. Using templates xsl:apply-templates, xsl:template match, nested templates, xsl:copy , <comment> and <element> , default templates, parameters. Control xsl:if, xsl:choose, xsl:for-each, xsl:sort. Constructing the result tree xsl:output, xsl:attribute, xsl:attribute-set, xsl:comment, xsl:processing-instruction, xsl:text, xsl:value-of, xsl:variable. Combining templates xsl:include, xsl:import, xsl:apply-imports. Transforming to text

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

About this Virtual Instructor Led Training (VILT) This 2 half-day Virtual Instructor-Led Training (VILT) course will guide participants on the technoeconomic aspects of capture, utilization and geological storage of carbon dioxide. The VILT course will address the methods and techniques used in the technoeconomic assessment of Carbon Capture, Utilization & Storage (CCUS) projects. It will explore in detail the factors that affect the cost-effectiveness of current and emerging technologies for CO2 capture, transport and geological storage, including monitoring and verification. Given that the successful deployment of CCUS may require economic incentives, technical and economic drivers such as technological innovation, optimization, source sink matching and emerging opportunities will also be discussed. In addition, using several worked examples and case studies, this VILT course will explain the principles behind the analysis of the costs and opportunities of a CCS / CCUS project from source to sink and examines the possibilities of using carbon dioxide from an economic perspective. Training Objectives Upon completion of this VILT course, participants will be able to: Describe the economic considerations for CCS / CCUS projects Measure and calculate the cost-effectiveness of CCS / CCUS Identify the economic drivers for CCS / CCUS Understand the value of source to sink matching Outline the economic and environmental opportunities as well as challenges with using carbon dioxide injection in a range of applications Recognize niche opportunities for CO2 storage (coal seams, basalts, salt and others)   Target Audience This VILT course is ideally suited for a technical audience such as geoscientists, petroleum and chemical engineers as well as professionals such as economists, regulators, legal staff and managers wishing to learn more about the details of economic aspects and the basis for techno-economic analysis of Carbon Capture, Utilization and Storage projects. The VILT course is presented in an interactive workshop format, allowing for discussions. Participants should have: Basic background knowledge of CCUS technologies Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. The VILT course is presented in an interactive workshop format that allows discussion. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader received his B.Eng. in Chemical and Environmental Systems in 2002 from Tecnológico de Monterrey, Mexico, and his Ph.D. in Chemical Engineering in 2008 from the University of New South Wales (UNSW), in Sydney, Australia, at the UNESCO Centre for Membrane Science and Technology. His doctoral used computational fluid dynamics (CFD) to analyse the flows within membrane modules used for water treatment and desalination. He also worked on a desalination linkage project between the UNSW and the European Union, as part of Framework Programme 6. From 2009 to 2014, he worked for the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), where he led the research into CO2 Transport Networks, co-led the development of a techno-economic model for the analysis of Carbon Capture and Storage (CCS) projects, and collaborated on several consultancy and feasibility studies conducted by CO2CRC for both Government and Industry. From 2014 to 2019, he held a CONACYT Research Fellowship at the Instituto Tecnológico de Sonora (ITSON) in Mexico, where he led collaborative research projects dealing with RO membrane biofouling (IHE-Delft), membrane modifications, solar energy use for desalination (CSIR-CSMCRI India) and CFD modelling of the hydrodynamics in membrane modules (UMP Malaysia). Since July 2019, he is a Research Fellow in the School of Chemical and Biomolecular Engineering at the University of Sydney, where his research focuses on finding ways to reduce the cost, energy use and environmental impact of technologies for providing clean energy and water. From 2015 to 2020, he was a Member of the Board of Directors of the Mexican Society of Membrane Science and Technology. He guest edited a special edition on CCS for the Journal 'Technologies' and is currently an Editorial Board member for the journal, 'Energies', a peer-reviewed open-access scientific journal. His research interests include improving the efficiency of osmotic membrane separation processes, modelling complex processes involving heat and mass transfer, and exploring the economic drivers of low emission technologies such as the Carbon Capture and Storage (CCS) chain. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

EnergyEdge's course empowers you with in-depth knowledge of deepwater turbidites. Acquire the necessary skills and knowledge to excel in this specialized field of study.

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About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

LTE Architecture and Protocols course description This course provides a comprehensive tour of the LTE architecture along with services provided and the protocols used. What will you learn Describe the overall architecture of LTE. Explain the information flows through LTE. Describe the LTE security. Describe LTE mobility management. Recognise the next steps for LTE. LTE Architecture and Protocols course details Who will benefit: Anyone working with LTE. Prerequisites: Mobile communications demystified Duration 3 days LTE Architecture and Protocols course contents Introduction History, LTE key features. The 4G ITU process. The LTE 3GPP specifications. Specifications. System Architecture LTE hardware architecture. UE architecture and capabilities. E-UTRAN and eNB. EPC, MME functions, SGW, PGW and PCRF. System interfaces and protocol stacks. Example information flows. Dedicated and default bearers. EMM, ECM, RRC state diagrams. Radio transmission and reception OFDMA, SC-FDMA, MIMO antennas. Air interface protocol stack. Logical, transport and physical channels. Frame and slot structure, the resource grid. Resource element mapping of the physical channels and signals. Cell acquisition, data transmission and random access. MAC, RLC, PDCP protocols. LTE spectrum allocation. Power-on procedures Network and cell selection. RRC connection establishment. Attach procedure, including IP address allocation and default bearer activation. LTE detach procedure. Security in LTE networks LTE security features, identity confidentiality, ciphering and integrity protection. Architecture of network access security in LTE. Secure key hierarchy. Authentication and key agreement procedure. Security mode command procedure. Network domain security architecture. Security associations using IKE and IPSec. Mobility management RRC_IDLE, RRC_CONNECTED. Cell reselection, tracking area updates. Measurement reporting. X2 and S1 based handovers. Interoperation with UMTS, GSM and non-3GPP technologies such as cdma2000. QoS, policy control and charging QoS in LTE, EPS bearers, service data flows and packet flows. The architecture and signalling procedures for policy and charging control. Data transport using GPRS, differentiated services and MPLS. Offline and online charging in LTE. Delivery of voice and text messages over LTE Difficulties and solutions for Voice over LTE. Architecture and call setup procedures for circuit switched fallback. Architecture, protocols and call setup procedures in IP multimedia subsystem. Enhancements in release 9 LTE location services. Multimedia broadcast / multicast service and MBSFN. Cell selection, commercial mobile alert service. LTE Advanced and release 10 Impact of carrier aggregation on LTE air interface. Enhanced MIMO processing on uplink and downlink. Relaying. Release 11 and beyond. OAM and self organising networks Operation, administration, maintenance and provisioning for LTE. Self-configuration of base station parameters. Fractional frequency re-use, inter-cell interference co-ordination. Self-optimisation of base station procedures. Self-healing to detect and recover from faults.

Windows clustering training course description This course covers high availability and disaster recovery technologies such as live migration, storage migration and Hyper-V Replica, as well as providing indepth coverage of failover clustering including a detailed implementation of failover clustering of Hyper- V using SoFS. The course also covers System Center Virtual Machine Manager and implementing Network Load Balancing (NLB) and load balancing clusters. What will you learn Plan and implement a failover cluster. Describe managing server roles and clustering resources. Implement and manage virtual machines. Use System Center Virtual Machine Manager. Describe cloud-based storage and high availability solutions. Implement a Network Load Balancing (NLB) cluster. Windows clustering training course details Who will benefit: Technical staff working with Microsoft clusters. Prerequisites: Supporting Microsoft Windows server Duration 3 days Windows clustering training course contents High Availability in Windows Server Defining levels of availability, High Availability and disaster recovery solutions with Hyper-V Virtual Machines, High Availability with failover clustering in Windows Server. Hands on Configuring High Availability and Disaster Recovery. Implementing failover clustering Planning a failover cluster, creating a new failover cluster. Hands on Creating and Administering a Cluster. Server roles and clustering resources Configuring highly available applications and services on a failover cluster, managing and maintaining a failover cluster, troubleshooting a failover cluster, implementing site high availability with multisite failover clusters. Hands on Managing server roles and clustering resources. Failover clustering with Hyper-V Overview of integrating Hyper-V with failover clustering, implementing Hyper-V with failover clustering, managing and maintaining Hyper-V Virtual Machines on failover clusters. Hands on Implementing failover clustering by using Hyper-V Storage Infrastructure Management with Virtual Machine Manager Virtual Machine Manager, managing storage infrastructure with Virtual Machine Manager, provisioning failover clustering in Virtual Machine Manager. Hands on Managing storage infrastructure. Cloud-Based storage and High Availability Azure storage solutions and infrastructure, cloud integrated storage with StorSimple, disaster recovery with Azure Site Recovery. Hands on Managing cloud-based storage and high availability Network Load Balancing Clusters Overview of NLB, configuring an NLB cluster, planning NLB. Hands on Implementing a Network Load Balancing Cluster

5G training course description This course is designed to give the delegate an understanding 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. During the course we will investigate the 10 pillars for 5G, which will include various Radio Access Technologies that are required to interwork smoothly. Hence we will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Explain the 5G Internet and Software Distributed Networks (SDN). Explain carrier aggregation, the mobile cloud and RAT virtualisation. Explain an overall picture of 5G architecture. 5G training course details Who will benefit: Anyone who is looking to work with next generation networks. Prerequisites: Mobile communications demystified Duration 3 days 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, small cell, o SON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE advanced features *MIMO, 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, * Uplink Multi-Cell Reception. ICIC & eICIC ICIC, Homogeneous to heterogeneous network, eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), * CC aggregation, 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 configurations (Rel 9, 10 & 12). Enhanced Interference Mitigation & Traffic Adaptation (eIMTA) TDD UL-DL reconfiguration for traffic adaptation, Reconfiguration mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, innovation centre, 5G in North America, research, company R & D, 5G specifications. The 5G internet Cloud services, IoT & context awareness, network reconfiguration & virtualization support, hypervisors, SDN, the controller, service-oriented API, OpenFlow switches, SDN operation, SDN control for traffic flow redirection, OpenFlow controllers, how SDN works, application, control and infrastructure layers, a programmable network, how SDN & NFV tie together, SDN's downside, SDN orchestration, Mobility, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture, network virtualization (VNet), INM, NetInf, ForMux, MEEM, GP & AM, QoS support, network resource provisioning, IntServ, RSVP, DiffServ, CoS, aggregated resource provisioning, SICAP, MARA, Emerging approach for resource over-provisioning, example use case architecture for the 5G internet, integrating SDN/NFV for efficient resource control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations, network operations. Small cells for 5G Average spectral efficiency evolution, What are small cells? WiFi & Femto cells as candidate small-cell technologies, Capacity limits & achievable gains with densifications, gains with multi-antenna techniques, gains with small cells, Mobile data demand, approach & methodology, subscriber density projections, traffic demand projections, global mobile data traffic increase modelling, country level backhaul traffic projections, 2020 average spectrum requirement, Small cell challenges, backhaul, spectrum, automation. Cooperation for next generation wireless networks Cooperative diversity & relaying strategies, Cooperative ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol, NCCARQ overview, PHY layer impact, Performance evaluation, simulation scenario and results. Mobile clouds; technology & services for future communications platforms Mobile cloud, software, hardware and networking resources, 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), store & forward vs compute & forward, random/linear network coding. Security for 5G communications Potential 5G architectures, Security issues & challenges in 5G, user equipment, mobile malware attacks, 5G mobile botnets, attacks on 4G networks, C-RNTI & packet sequence numbers based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, attacks on mobile operator's network, user data & identity attacks, DDoS attacks, amplification, HSS saturation, external IP networks.