518 Courses in Liverpool

CWDP training course description The CWDP course consists of instructor-led training applicable to the design of wireless LANs using the latest technologies including 802.11n and 802.11ac. The course goes in-depth into the design process and provides attendees with the knowledge needed to plan, deploy and test modern 802.11-based networks. It also prepares students for the CWDP examination. Students who complete the course will acquire the necessary skills for preparing, planning performing and documenting site surveys and wireless LAN design procedures. What will you learn Design enterprise WiFi networks. Select appropriate antennas and Access points. Perform site surveys. Describe the security requirements required for enterprise networks. Test, validate and troubleshoot installations. CWDP training course details Who will benefit: Anyone looking for the skills to analyze, troubleshoot, and optimize any enterprise level Wi-Fi network, no matter which brand of equipment your organization deploys. Anyone looking to become a CWNP. Prerequisites: CWNA Duration 5 days CWDP training course contents WLAN design overview Importance of good design, Impact of bad design, Design process, Design skills, Design toolkit. Requirements analysis Pre-planning, Customer interaction, Requirements gathering, Discovering existing systems, Documenting the environment, Defining constraints, Creating documentation. Designing for clients and applications Client Device types, Application types, Application-specific design, High density design issues. Designing for industry Standard corporate networks, Industry-specific designs, Government, Healthcare, Hospitality, Retail, Public hotspots, Transportation, Mobile offices, Outdoor and mesh, Remote networks and branch offices, Last-miles / ISP and bridging. Vendor selection processes Defining vendor issues, Operational planes, Design models, Understanding architectures. Radio Frequency (RF) planning RF spectrum, RF behaviors, Modulation and coding schemes, RF accessories, Throughput factors. WLAN hardware selection Antennas, 802.11n and antennas, Choosing Aps, Powering Aps. Site surveys Site survey tools, Site survey preparation, Predictive site surveys, Manual site surveys, Site survey principles and processes. Designing for Quality of Service (QoS) QoS overview, QoS application points, Roaming support. Designing for security Bad security, Authentication solutions, Encryption solutions, Security best practices, Intrusion prevention. Installation testing, validation and troubleshooting Network health status, Troubleshooting and validation process, Troubleshooting and validation tools, Common problems. Hands-on lab exercises Hands-on labs depend on the audience and can include use of: Spectrum analyzers, Protocol analyzers, Site Survey software, Diagramming software, Various wireless access points, Various wireless adapters and antennas.

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Microsoft Exchange training course description A hands on course focusing on the day to day running of Microsoft Exchange. The course is designed for those with a sound understanding of how Exchange forwards emails and concentrates on important issues such as monitoring, backups and restores. This course can be delivered on any version of Microsoft exchange and tailored as required. What will you learn Install MS Exchange Create, configure and manage user mailboxes. Configure and administer MS Exchange. Backup and restore MS Exchange. Microsoft Exchange training course details Who will benefit: Anyone working with MS Exchange. Prerequisites: Total SMTP and email for engineers Duration 3 days Microsoft Exchange training course contents Review of mail basics Basic routing & Client/Server, Mail flow & protocols, Mail server technology. Exchange features MAPI, Database, The Exchange organisation, Active Directory consideration. Installing Understanding server roles, Planning for Exchange, Preparing Active Directory, Preparing the host server, Installing Exchange. Introduction to Exchange management tools Exchange Management shell, Exchange Management console. Administration Configuring SMTP domains, Send connectors, Receive connectors, Setting up & managing user mailboxes, Setting up resource mailboxes, Mail enabled groups, Address lists. Troubleshooting Security & troubleshooting wizards, Windows platform tools, External/Internet tools.

Kamailio training course description Kamailio (formerly known as OpenSER) provides a scalable SIP server suitable for small through to carrier grade installations. This course will teach you how to install, configure and troubleshoot the Kamailio product. What will you learn Install Kamailio. Control Kamailio. Configure Kamailio. Troubleshoot Kamailio. Kamailio training course details Who will benefit: Technical staff working with Kamailio. Prerequisites: Definitive SIP for engineers. UNIX fundamentals. Duration 3 days Kamailio training course contents What is Kamailio? What is SER? SER history, OpenSER, versions. Kamailio. Supported platforms, SIP review. Hands on Simple SIP telephony without a SIP server. Installing Kamailio Downloading Kamailio, Installation from source, package installation, CVS, default passwords Hands on Kamailio installation. Controlling Kamailio Starting, stopping and controlling Kamailio. Starting Kamailio automatically at boot time. Hands on Controlling the server First configuration Basic configuration. Hands on SIP telephony with Kamailio. Monitoring Logs, xlog, openserctl, syslog. Hands on Logging. Kamailio architecture Kamailio core, Kamailio modules, file locations, persistent data storage, database structure. Hands on Database integration. Core configuration Keywords, values, parameters, functions, routing blocks, constructs. Hands on Advanced Kamailio configuration. Module configuration Overview of modules available, AAA integration, least cost routing. Redirects Hands on Configuring modules. Architectures DNS integration, peering, OSP, NAT traversal, SIP to GSM. Hands on peering. Asterisk integration Altering tables to work with Asterisk, Asterisk as a voicemail system. Design issues, High availability. Hands on Integrating Kamailio with Asterisk.

Network forensics training course description This course studies network forensics-monitoring and analysis of network traffic for information gathering, intrusion detection and legal evidence. We focus on the technical aspects of network forensics rather than other skills such as incident response procedures etc.. Hands on sessions follow all the major sections. What will you learn Recognise network forensic data sources. Perform network forensics using: Wireshark NetFlow Log analysis Describe issues such as encryption. Network forensics training course details Who will benefit: Technical network and/or security staff. Prerequisites: TCP/IP foundation for engineers. Duration 3 days Network forensics training course contents What is network forensics? What it is, host vs network forensics, purposes, legal implications, network devices, network data sources, investigation tools. Hands on whois, DNS queries. Host side network forensics Services, connections tools. Hands on Windows services, Linux daemons, netstat, ifoconfig/ipconfig, ps and Process explorer, ntop, arp, resource monitor. Packet capture and analysis Network forensics with Wireshark, Taps, NetworkMiner. Hands on Performing Network Traffic Analysis using NetworkMiner and Wireshark. Attacks DOS attacks, SYN floods, vulnerability exploits, ARP and DNS poisoning, application attacks, DNS ANY requests, buffer overflow attacks, SQL injection attack, attack evasion with fragmentation. Hands on Detecting scans, using nmap, identifying attack tools. Calculating location Timezones, whois, traceroute, geolocation. Wifi positioning. Hands on Wireshark with GeoIP lookup. Data collection NetFlow, sflow, logging, splunk, splunk patterns, GRR. HTTP proxies. Hands on NetFlow configuration, NetFlow analysis. The role of IDS, firewalls and logs Host based vs network based, IDS detection styles, IDS architectures, alerting. Snort. syslog-ng. Microsoft log parser. Hands on syslog, Windows Event viewer. Correlation Time synchronisation, capture times, log aggregation and management, timelines. Hands on Wireshark conversations. Other considerations Tunnelling, encryption, cloud computing, TOR. Hands on TLS handshake in Wireshark.

Perl training course description A hands on introduction to programming in Perl. What will you learn Write Perl programs. Use Perl modules. Debug Perl programs. Examine existing code and determine its function. Perl training course details Who will benefit: Anyone wishing to learn Perl. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Perl training course contents Introduction to Perl What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world". Variables Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN. Operators Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators. Flow control Blocks, if, else, elseif, unless, foreach, while, for do, until. Regular expressions What are regular expressions? Pattern matching, Perl as a filter, file editing. Strings Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Subroutines Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. Arrays and hashes Working with arrays, element access, push(), pop(), shift(), unshift(), <STDIN> as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes. Files Simple file handling, open, close, <FILEHANDLE>, <>, file tests, directory access, directory handles, database access, packing and packing binary data. I/O STDIN, STDOUT and STDERR, Command line arguments,@ARGV. Perl debugging The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches. Packages and modules CPAN, Finding modules, installing modules, using modules, scope. Report formatting Formats, defining a format, invoking a format, field holders. Process management System interaction, system(), exec(), signals. Security issues.

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About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

About this Training Course Geomechanical evaluations are about the assessment of deformations and failure in the subsurface due to oil & gas production, geothermal operations, CO2 storage and other operations. All geomechanical evaluations include four types of modelling assumptions, which will be systematically addressed in this training, namely: 1. Geometrical modelling assumption: Impact of structural styles on initial stress and stress redistribution due to operations 2. Formation (or constitutive) behaviour: Linear elastic and non-linear behaviour, associated models and their parameters, and methods how to constrain these using 3. Initial stress: Relation with structural setting and methods to quantify the in-situ stress condition 4. Loading conditions: Changes in pore pressure and temperature on wellbore and field scale This 5 full-day course starts with the determination of the stresses in the earth, the impact of different structural styles, salt bodies, faulting and folding on the orientation of the three main principal stress components. Different (field) data sources will be discussed to constrain their magnitude, while exercises will be made to gain hands-on experience. Subsequently, the concepts of stress and strain will be discussed, linear elasticity, total and effective stress and poro-elasticity in 1D, 2D and 3D, as well as thermal expansion. Participants will be able to construct and interpret a Mohr-circles. Also, different failure mechanisms and associated models (plastic, viscous) will be discussed. All these concepts apply on a material point level. Next, geomechanics on the wellbore scale is addressed, starting with the stress distribution around the wellbore (Kirsch equations). The impact of mudweight on shear and tensile failure (fracturing) will be calculated, and participants will be able to determine the mudweight window stable drilling operations, while considering well deviation and the use of oil-based and water-based muds (pore pressure penetration). Fracturing conditions and fracture propagation will be addressed. Field-scale geomechanics is addressed on the fourth day, focussing on building a 3D geomechanical model that is fit-for-purpose (focussing on the risks that need evaluation). Here, geological interpretation (layering), initial stress and formation property estimation (from petrophysical logs and lab experiments) as well as determining the loading conditions come together. The course is concluded with interpretation of the field-wide geomechanical response to reservoir depletion with special attention to reservoir compaction & subsidence, well failure and fault reactivation & induced seismicity. Special attention is paid to uncertainties and formulating advice that impacts decision-making during development and production stages of a project. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completing of this course, the participants will be able to: Identify potential project risks that may need a geomechanical evaluation Construct a pressure-depth plot based on available field data (density logs, (X)LOT, FIT, RFT) Employ log-based correlation function to estimate mechanical properties Produce a simplified, but appropriate geometrical (layered, upscaled) model that honours contrasts in initial stress, formation properties and loading conditions, including Construct and interpret a Mohr-circle for shear and tensile failure Calculate the mud weight that leads to shear and tensile failure (fracturing conditions) Identify potential lab experiments to measure required formation properties Describe the workflow and data to develop a field-wide fit-for-purpose geomechanical model Discuss the qualitative impact of pressure and temperature change on the risk related to compaction, well failure, top-seal integrity and fault reactivation Target Audience This course is intended for Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion. There is no specific formal pre-requisite for this course. However, the participants are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience. Course Level Intermediate Trainer Your expert course leader has over 30 years of experience in the Oil & Gas industry, covering all geomechanical issues in the petroleum industry for Shell. Some of his projects included doing research and providing operational advice in wellbore stability, sand failure prediction, and oil-shale retortion among others. He guided multi-disciplinary teams in compaction & subsidence, top-seal integrity, fault reactivation, induced-seismicity and containment. He was also involved in projects related to Carbon Capture Storage (CCS). He is the founding father of various innovations and assessment tools, and developed new insights into the root causes seismicity induced by Oil & Gas production. Furthermore, he was the regional coordinator for technology deployment in Africa, and Smart Fields (DOFF, iField) design advisor for Shell globally. He was responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for the last 10 years. He served as one of the Subject Matter Expert (SME) on geomechanics, provided Technical Assurance to many risk assessments, and is a co-author of Shell's global minimun standard on top-seal integry and containment. He has a MSc and PhD in Civil Engineering and computational mechanics from Delft University of Technology, The Netherlands. Training experience: Developed and delivered the following (between 2010 and 2020): The competence framework for the global geomechanical discipline in Shell Online Geomechanical training programs for petroleum engineers (post-doc level) The global minimum standard for top-seal integrity assessment in Shell Over 50 learning nuggets with Subject Matter Experts Various Shell virtual Geomechanical training courses covering all subjects Developed Advanced Geomechanical training program for experienced staff in Shell Coaching of KPC staff on Geomechanics and containment issues on an internship at Shell in The Netherlands, Q4 2014 Lectured at the Utrecht University summer school (The Netherlands, 2020) on induced seismicity among renowned earthquake experts (Prof. Mark Zoback, Prof. Jean-Philippe Avouac, Prof. Jean-Pierre Ampuero and Prof. Torsten Dahm) (https://www.nwo.nl/onderzoeksprogrammas/deepnl/bijeenkomsten/6-10-juli-2020-deepnl-webinar-series-induced-seismicity) Lectured at the Danish Technical University summer school (Copenhagen, 2021) summer school on Carbon Capture and Storage (https://www.oilgas.dtu.dk/english/Events/DHRTC-Summer-School) Virtual Carbon Capture and Storage (CCS): Project Risks & How to Manage Them training course (October and November 2021) 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

CWAP training course description This WiFi analysis course consists of hands-on learning using the latest enterprise wireless LAN analysis and troubleshooting tools. The course takes an in-depth look at the functionality of WLANs, intended operation of the 802.11 protocol and Wi-Fi Alliance specifications, WLAN frame formatting and structure, troubleshooting methodology, and protocol analysis. It also includes extensive training in modern spectrum analysis with a focus on advanced RF behaviour analysis, data collection methods, interpreting spectrum plots and charts, and understanding advanced features of WLAN spectrum analysers. What will you learn Analyse WiFi frames using Wireshark. Explain 802.11 protocol operation. Troubleshoot WiFi networks using Wireshark. Troubleshoot WiFi networks using spectrum analysers. CWAP training course details Who will benefit: Technical Network Staff Anyone looking to become a CWAP Prerequisites: Certified Wireless Network Administrator Duration 4 days CWAP training course contents Principles of WLAN Communication 802.11 Working Group, OSI reference model and the 802.11 PHY and MAC, Communication sublayers and data units, WLAN architecture components, Organization of station forwarding Addressing and internetworking operation, Modern WLAN product architectures. Physical (PHY) and MAC Layer Formats and Technologies Physical layer functions, Preamble function and format, Header purpose and structure, Analysis of PHY problems, Physical PPDU formats, 802.11b, 802.11a, 802.11g, 802.11n, MAC frame components, MAC encapsulation, Fields and subfields of the MAC header, Frame Control, Frame types and subtypes and their uses, Addressing, Frame body, Data frame format, Control frame format, Management frame format, Information elements and fields. Beaconing and synchronization Scanning, Client state machine, 802.11 contention, QoS, Admission control, Band steering and airtime fairness mechanisms Fragmentation, Acknowledgments and Block acknowledgments, Protection mechanisms and backward compatibility, Power management, Dynamic Frequency Selection (DFS) and Transmit Power Control (TPC), Security components, methods, and exchanges, Roaming procedures exchanges, Future protocol enhancements. 802.11n Transmit beamforming, Spatial multiplexing, Maximal Ratio Combining (MRC), Space-Time Block Coding, 40 MHz channels, Frame aggregation, HT-OFDM format, Modulation and Coding Schemes (MCS), HT frame formatting and more. Protocol Analysis Tools and Methodology Troubleshooting methodology, Protocol analyser types, Analysis NIC/adapter selection and constraints, Interpreting results based on location, Analyzer settings and features, Filtering and channel scanning, Interpreting decodes, Using advanced analysis features, Assessing WLAN health and behaviour factors, Evaluating network statistics, Troubleshooting common problems, Wired analysis to support wireless network issues. Spectrum Analysis Tools and Methodology Radio frequency behaviour review, Visualizing RF domains using spectrum measurement tools, Spectrum analyser types and operation, Analyser specifications and characteristics, Understanding spectrum data presentation, Interpreting plots and charts, Common WLAN spectrum analyser features, Identifying transmit patterns, Device classification and network impact, Recognizing transmit signatures. Hands on lab exercises Wireshark Setup, Use, and In-Depth Analysis Wireshark is fundamental to troubleshooting. Labs include: - Capabilities, configuration, and data display - Opening, collecting, saving, and modifying capture files. - Filtering traffic, and using colouring rules as analysis aides. - Live captures based on a set of desired collection criteria. - Identify and isolate network problems. - Conversation analysis. - Remote packet capture with an AP. Understanding Frame Components Familiarity with the frame structure and contents is essential in real -world troubleshooting efforts. Labs include: - Understanding the MAC header - Comparing the three major frame types and their subtypes - Analysing frame formats of individual frame types - Analysing 802.11n frame components - Additional information is reported by protocol analysers - Information not visible in protocol analysers Frame Exchanges Understanding frame exchange rules and behaviors is critical to identifying expected and unexpected. It is also necessary to understand what is normal so that aberrations can be properly troubleshot. Labs include: - Connectivity exchanges and sequences - Legacy and modern security exchanges - ERP and HT protection mechanisms - Power save behaviour - Acknowledgments, block acknowledgments, and supporting action frames - Dynamic rate switching - Band steering Troubleshooting Common Problems This lab exposes students to hands-on troubleshooting skills by setting up common problems in WLANs and allowing students to attempt to solve them. - Trouleshooting connectivity exchanges - Troubleshooting 802.1X and EAP exchanges - Troubleshooting roaming Spectrum Analyzer Setup, Use, and In-Depth Analysis Specifically, it will explore the plots and charts used to display spectrum data and how to interpret this data to define a transmitter's impact on the network. The following are covered: - Installing the analyser and using display and navigation - The 'RF perspective' provided by each plot and chart - Using built-in features and automated device identification - Characterizing the behaviours of an interference source - Assessing the impact of an interference source - Determining the impact of transmitter proximity on interference. - Identifying signatures of common transmitters - Remote spectrum analysis with an AP