479 Engineer courses in Windsor

HSPA and HSPA+ training course description HSDPA (High Speed Downlink Packet Access) and HSUPA (High Speed Uplink Packet Access) provide speeds of upto 14Mbps downlink and 5Mbps uplink. This theory-based course provides an overview of the 3GPP R5 and R6 HSDPA/HSUPA standards and the technologies which are involved. The HSPA+ R7 enhancements are also covered. What will you learn Explain the relationship between HSPA and UMTS. Describe the benefits of HSPA/HSPA+ Explain the HSPA/HSPA+ technical enhancements. Explain packet flows in HSPA/HSPA+. Recognise the migration issues involved with HSPA/HSPA+ HSPA and HSPA+ training course details Who will benefit: Anyone working with HSPA. Prerequisites: Essential UMTS Duration 2 days HSPA and HSPA+ training course contents UMTS review UMTS architecture, components, interfaces, protocols, W-CDMA, standards, 3GPPr5, 3GPPr6, evolution to HSDPA and HSPA. HSPA basics What is HSDPA, what is HSUPA, key features, system capacities, data rates, delays. Key concepts: Adaptive modulation and coding (AMC), QPSK, 16QAM, HARQ, MAC-hs, multiplexing, subframes. HSPA channels Logical, transport, physical channels, dedicated vs. shared channels, HS-PDSCH, HS-SCCH, HS-DPCCH, code multiplexing, E-DCH, Enhanced DPCCH. MAC-architecture Controlling HS-DSCH, flow control, buffering, priority queues, packet scheduling, fast packet scheduling, Selecting modulation and coding. HARQ: Packet retransmissions, Incremental redundancy, comparison with ARQ, TFRC. MAC-d, MAC-c/sh, MAC-hs, MAC-es, MAC-e. HSPA migration HSDPA in the Radio Access Network (RAN), reuse of existing UMTS components, changes required, Impact on Iub/Iur interfaces, new and modified NBAP procedures, backwards compatibility. Packet flows Packet data session setup, simultaneous voice and data, QoS, TCP flow control, WCDMA packet scheduler, mobility procedures. HSPA phase 2 (3GPP r6) What is evolved HSPA? Speeds. Multiple Input Multiple Output (MIMO). Optional all IP architecture. R8 and LTE.

Bluetooth training course description Bluetooth is used by many kids these days but is probably under-utilised in business environments. This hands on training course provides an overview of what Bluetooth is, how it works, what it can be used for and how to configure it on different devices. What will you learn Explain what Bluetooth is. Describe the Bluetooth protocol stack. Recognise the applications of Bluetooth. Configure Bluetooth. Bluetooth training course details Who will benefit: Anyone who needs to know more about Bluetooth. Prerequisites: None. Duration 2 days Bluetooth training course contents Classic Bluetooth Bluetooth overview Basics, standards, competing technologies. Bluetooth radio RF bands, power losses, frequency hopping. Bluetooth modulation PSK, DPSK, DPQSK. Bluetooth data transfer FH, TDD, FDMA, ACL, SCO, Bluetooth packets. Making connections Piconets, Scatternets, Pairing The protocol stack Baseband, Link Manager, L2CAP, SDP, GAP, RFCOMM. Profiles FTP, DUN, LAN, Synch, HDP, GOEP/OBEX etc. Security Authentication, authorisation, encryption, risks. Bluetooth Low Energy Introduction Bluetooth Smart and Bluetooth Smart Ready. BLE device types Design goals, terminology and core concepts. BLE usage models Presence detection, data broadcasting connectionless models, gateways. BLE architecture Controller, host, applications and stack splits. BLE protocol stack Link layer, HCI, L2CAP. BLE profiles GAP roles, models, procedures, security modes, data advertising. BLE security Pairing, bonding, data signing BLE applications Devices, services, profiles, peripherals

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) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

About this Training Course To the non-geologist, working with Petroleum Geologists can be confusing. Petroleum geology has specific terminology and many concepts and data sources unfamiliar to the uninitiated. This course has been designed to introduce these terms and provide an insight into how oil and gas are formed, how they are found and how they are extracted. Using a holistic combination of lectures, experiments, case study and practical exercises, the course involves an introduction to fundamental geological concepts, to exploration techniques, prospecting, drilling, well logs and recovery methods. The course will also demystify the terminology surrounding petroleum geology, demonstrate the use of geological information to show the value and weakness of different datasets, and lead to better communication and decision-making between the geologists and non-geologists. It will feature world-class virtual reality field trips that incorporate activities and features unavailable in the physical field, and provide for a more integrated and flexible learning resource (also see the trainer's article on page 4 which was first published in GEO ExPro Magazine, the upstream oil and gas industry's favourite magazine). Course Highlights: Course facilitator has delivered petroleum geology training to many companies over the years Facilitator is also a professionally trained teacher and former university lecturer who is experienced in communicating with people at all levels of technical knowledge Practical exercises, experiments, examination of real rocks, a virtual reality field trip and case study are used to clarify and reinforce important concepts Training Objectives By attending this training, you will be able to acquire the following: Understand the geological methods and principles used in hydrocarbon exploration, development and production. Understand the key elements of a petroleum system, from hydrocarbon source to reservoir and seal Appreciate basin analysis, regional geology and play based exploration techniques Be aware of the different sorts of hydrocarbon trap from structural to stratigraphic Understand the technical terminology, tools and methods used in exploration geology Learn about unconventional Understand and evaluate the sources and reliability of various types of geological information Understand acquisition, processing and interpretation of seismic data Learn the technical processes and terminology involved in exploration Understand how a prospect is defined and risked Understand how seismic, existing well information and outcrop geology can be used for exploration Gain an understanding of the methods used for petroleum geology to allow a discovery to be appraised and then developed Target Audience The course is suitable to all personnel, but those that benefit most include: This course will benefit Petroleum Engineers (reservoir, drilling, production) who work with geological data, Geophysicists with little or no geological background, Project managers whose teams include petroleum geologists, Finance, Procurement, Marketing and Communications staff, and government Data Managers who handle petroleum geological data and need to understand the sources of different types of data. Trainer Your expert course leader is the Geosciences Technical Director for PetroEdge. She was previously, the manager of Robertson Petroleum Training Centre and a Senior Project Scientist at Robertson CGG. She has over 20 years of experience in teaching geology and leading field trips. Prior to her 8 years at Robertson, she was in academia as a lecturer for 6 years and a Research Fellow for 3 years. She has conducted fieldwork and led field trips in the US and many areas in the UK. In addition, she has led university regional geology day schools and has comprehensive experience in course and study programme writing. She has extensive experience in delivering courses and in Clastic and Carbonate Reservoir Geology, Deepwater Turbidites, Sandstone Reservoirs, Wireline Log Interpretation, Integrated Sequence Stratigraphy, Basin Analysis and Exploration & Appraisal workshops globally. In delivering the Exploration Team Management Workshop, she has project managed and taught key principles and modules on project planning, data collection/collation, geophysical assessment, stratigraphy and facies mapping, source rock facies and hydrocarbon generation, play fairway mapping, risking and prospect evaluation. Her knowledge and enthusiasm for instructing is reflected in consistently being rated as excellent by trainees, and clients specifically requesting her participation in courses. 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

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.