2012 Courses delivered Live Online

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?

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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-300T00: Microsoft Power BI Data Analyst 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.

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 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 Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) 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

PRINCE2 Agile® Foundation: In-House Training PRINCE2 Agile® provides structure, governance, and control when working with agile concepts, methods, and techniques. It is a solution combining the flexibility and responsiveness of Agile with the clearly defined framework of PRINCE2. PRINCE2 Agile® framework covers a wide range of agile concepts, including SCRUM, Kanban, and Lean Startup. The PRINCE2 Agile® Foundation certificate is designed to help professionals deliver agile projects by tailoring PRINCE2® management controls with a broad toolset of agile delivery techniques and frameworks. PRINCE2 Agile® is an extension module tailored for forward-thinking organizations and individuals already benefiting from PRINCE2®. It provides further guidance on how to apply agile methods to the world's most recognized project management method. The purpose of the Practitioner qualification is to demonstrate that you can apply and tailor PRINCE2 Agile® in a scenario situation. What you will Learn Understand the key aspects of PRINCE2® Understand basic concepts behind common agile ways of working Demonstrate the purpose of combining PRINCE2® with agile Be able to fix and flex the aspects of a project in an agile context Apply the PRINCE2® principles and tailor the themes, processes, and management products to a project in an agile context Incorporate the areas that can support a PRINCE2 Agile® implementation To prepare Participants for the PRINCE2 Agile® Foundation exam Benefits Agile methods allow organizations to realize the benefits of products and potentially an earlier return on investment while products are being developed and improved. Improved communication through the use of common terminology across PRINCE2® and agile disciplines. Develop a clear definition of how agile can govern a project's delivery, while PRINCE2® governs projects as a whole. Seamless integration: PRINCE2 Agile® will complementPMBOK® GuideandAPM Body of Knowledge®just as PRINCE2® does currently. It will also be of interest for Program Managers with MSP® who need to understand how projects relate to the delivery mechanism. The most up-to-date and relevant view of Agile project management methodologies, PRINCE2 Agile® references the 'flow-based' working featured in Kanban in addition to other agile concepts not covered in other qualifications. Introduction - Getting Started Part 1 An overview of PRINCE2 Agile Overview Blending PRINCE2 and Agile What to fix and what to flex Part 2 Agile behaviors ad the PRINCE2 Principles Agile and the PRINCE2 Themes Part 3 Focus areas Agile and the PRINCE2 Processes Examination preparation Examination. Summary - What did we learn, and how can we implement this in our work environment?

Project Estimating and Scheduling: Virtual In-House Training Establishing realistic estimates and goals for projects that support business objectives and meet client expectations is one of the most challenging aspects of project planning. Delivering those results within the agreed-upon time, cost, and quality constraints is also challenging. Attempting to meet impossible deadlines with limited budgets often leads to unplanned product shortfalls, causing long-term support and utilization problems. We have all anguished about this recurring problem, but without having the skills or knowledge to take action, we are unable to break the cycle! The goal of this course is for you to be able to support business objectives and meet client expectations by selecting the right planning approach for realistic and cost effective schedules, as well as project budgets. To achieve that, you will focus on gaining the necessary knowledge, skills, and techniques. What You Will Learn At the end of this program, you will be able to: Use the work breakdown structure (WBS) as the basis for effective estimating of project resources Estimate effort and duration using a variety of techniques Develop preliminary schedules using the critical path method Apply a variety of optimization techniques to refine preliminary schedules Establish realistic schedule and cost baselines, with appropriate contingency reserves Explain how earned value management (EVM) contributes to control time and cost performance Foundation Concepts Project management basic definitions and concepts PES Key driver: competing constraints PES Process and success factors Project Definition and the WBS Project definition overview Work Breakdown Structure (WBS) Decomposition: WBS development technique Resource Planning Resource planning overview Identifying resource requirements Identifying and filling resource gaps Applying resource planning tools Effort and Duration Estimating Estimating overview Estimating perspectives and approaches Estimating techniques Effort and duration estimating best practices Project Scheduling Overview of project scheduling Dependencies and the project network diagram Critical path method (CPM) Optimizing the schedule Budget, Risk, and Contingency Planning Overview of budget, risk, and contingency planning Estimating costs Determining the budget Project risk management processes Planning contingency reserves Project Baseline and Control Overview of project baseline Negotiating and the project baseline Earned value management (EVM) Project variances and actions Project control

Decision Making and Problem Solving (Virtual) We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Getting Started Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan

Learn and practice the skills needed to deliver a brilliant presentation.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is an IT, facilities or data centre operations professional working in and around the data centre and having the responsibility to achieve and improve high-availability and manageability of the data centre. Overview After completion of the course the participant will be able to:? Understand the design life cycle of data centres and the stages involved? Discuss the data centre requirements in great level of detail with vendors, suppliers and contractors to ensure that these requirements are met? Validate design plans, quotes and offers proposed by vendors/contractors? Understand redundancy levels for both the data centre design/setup and maintenance? Understand the various building considerations such as bullet proofing, mitigation of seismic activity, fire ratings and thermal stability? Understand how to install a raised floor that meets requirements, avoiding misalignment, level differences and leakage? Understand how to read a Single Line Electrical Diagram to identify and avoid the most common design issues? Choose the correct UPS and parallel configuration, learn and avoid classic parallel installation mistakes? Understand how to calculate battery banks, validate offered configurations to ensure they meet requirements? Understand what distance to keep to avoid EMF issues for human safety and equipment disturbances? Understand the fundamental cooling setup, CFM, Delta-T and other important factors? Understand contamination factors and limitations? Understand full details of fire suppression options, how to calculate gas content and verify installations? Understand how to measure data centre energy efficiency and how to improve it The course will bring participants to the level of a suitable sparring partner with suppliers. They will be able to verify offers provided by vendors for correctness, effectiveness and efficiency. Data Centre Design/Life Cycle Overview Overview of the phases of a data centre life cycle Planning, re-alignment and continuous improvement Standards and Rating Level Definitions Rating level history Difference between Uptime and TIA-942 Rating level definitions Redundancy options (N+1), 2N, 2(N+1) Concurrent Maintainability/Compartmentalisation Example configurations Substation and feed requirements Maintenance options Operational processes guidelines/standards Skill development Building Considerations Building location considerations Floor and hanging loads requirements Fire rating for walls and glass Blast protection Bullet proofing Forced entry protection Advanced Raised Floor & Suspended Ceiling Raised floor installation guidelines Techniques to install a proper and leveled raised access floor Common mistakes Choosing the right tiles and their locations Seismic-mitigating floor constructions Choosing the correct suspended ceiling Advanced Power Power infrastructure layout; Formulas which you should know for the data centre Single Line Electrical diagrams; how to read to ensure key components are present for protection Over current protection devices (MCB/MCCB/VCB/ACB/Fuses) definitions and what to use where Earth Leakage devices (RCB/RCD/ELCB/GFCI/ALCI/RCBO), definitions and what to use where Sizing of protective components Lightning strikes and surge protection devices (TVSS/SPD), how they operate, where to use and how to install Power cabling and cable run considerations PDU/DB setup and minimum requirements Generators; Generator types: Standy/Prime/Continuous Component make up and functions Fuel storage and calculation Paralleling of gen-sets Generator room/area requirements UPS Systems; Required specifications for UPS systems How to read data sheets and select the correct UPS Requirements for parallel configurations and avoid pitfalls such as single point of failures How parallel installation should be done, classic mistakes made by installers and how to avoid these Harmonic Filters; Active/Passive filters and their application Battery Banks; Battery bank terminology Designing battery banks, how to calculate, and double check the battery bank to be installed Battery charging pitfalls and ensuring the right charger is being installed and used Using parallel battery banks; how to properly install them, limitations and risks when using batteries in parallel How to test batteries correctly and make decisions on cell/block or string replacement Battery casing choices; ABS, V0, V1, V2 Alternative energy storage; flywheel, re-usable cell, compressed air UPS, etc. Advanced Electro Magnetic Fields Sources of EMF Difference between single, three phase and bus-bar EMF Options available to measure EMF and how to interpret the results from single-axes and composite measurements Guidance on safe distance for equipment and humans Calculation of EMF attenuation factor for shielding material permeability and saturation factors Advanced Cooling Important definitions; dry-bulb, wet-bulb, dew-point, RH, sensible and latent heat Psychometric chart and ASHRAE recommendations Environmental class definitions and thermal specifications Temperature/humidity measurements guideline Heat dissipation methods Altitude impact on temperature intake to ICT equipment Floor plan setup for effective cooling Differences in tile surface and supporting structure and the air-flow performance impact Rack door construction and the flow performance impact Equipment Delta-T and its impact Optimising air flow Thermal units conversions Calculations for air volume displacement (CFM/CMH) Cooling capacity calculations Air-conditioning selection De- / humidifying options Air conditioning efficiency SHR impact on cost saving Efficiency indicator New cooling principle and techniques (Submerged, VSD/VRF/ECF/water- and air side economisers) Redundancy guidelines for air-conditioners avoiding classic misconceptions and mistakes for meeting ANSI/TIA-942 compliant designs Installation requirements Connections to fire panel and EPO Commissioning of air conditioners Set points and calibration CFD (Computational Fluid Dynamics) Advanced Fire Protection The fire triangle and elements to stop a fire Detection systems in detail (VESDA, VIEW, smoke sensors) Considerations for installation of sensors Proper testing of smoke sensors Water based systems i.e. deluge, wet-pipe, dry-pipe, pre-action and why most of them don't work and how to detect this Details on Inert and Halocarbon systems and how to select the correct system for your data centre How to calculate the gas content ensuring the appropriate level is installed to suppress the fire including safety considerations Other requirements for gas systems such as release times, hold times, pipe install requirements and other important factors Requirements for the fire detection panel Installation verification, methods, what to check and how New advanced fire suppression technologies Design and Install Scalable Networking Cabling System ANSI/TIA942 cabling structure topology ToR, EoR Design Intelligent patching systems Installation best practice such as routing, bending radius, separation from power, containment fill ratio, fiber link loss calculator, bonding and grounding requirement Standard for telecommunications labeling and administration Environmental Specifications and Contamination Control Acoustic noise effects, regulations, specifications and limits Data centre contaminations and classifications Measurements, standards and limits Preventive measures and avoidance Data Centre Efficiency Business drivers to go Green High-availability or Green? Green guidelines and standards How to measure it and what are acceptable numbers compared to the general industry PUE classes defined by Green Grid and issues with PUE Techniques for saving energy in all parts of the data centre i.e. application/system level, cooling, power distribution Mock ExamEXAM: Certified Data Centre Specialist

Immerse yourself in the ancient practice of yoga, a transformative journey that extends far beyond the mere physical postures. Our comprehensive yoga sessions are meticulously curated and led by seasoned professionals, offering a serene sanctuary tailored for the demands of modern-day professionals yearning for holistic balance and wellness. Delve into innate human abilities such as intuition, telepathy, clairvoyance, lucid dreaming, and energy healing. Uncover these dormant gifts existing within and enjoy awakening them fully.

MPEG training course description This course studies the MPEG standards for video and audio compression. A major focus is on MPEG-4 and MPEG-TS. Hands on includes decoding and analysing MPEG streams. What will you learn Recognise the main MPEG standards. Describe the techniques used in MPEG video and audio compression. Compare MPEG2m MPEG4 and MPEG-H. Describe the MPEG-TS. Analyse MPEG streams. MPEG training course details Who will benefit: Anyone working with MPEG. Prerequisites: None. Duration 2 days MPEG training course contents Introduction What is MPEG? MPEG and VCEG, MPEG 1, MPEG 2, MPEG-3, MPEG-4, MPEG-H, others, codecs and containers, licensing and patents, parts and layers (System, Video, Audio, others). MPEG2 DVD, DVB, characteristics, MPEG2 Part2, audio MPEG2 Part 7 (AAC). MPEG tools Wireshark, vlc, analysers, decoders, ffmpeg, wowzer. MPEG2 Video compression Sampling, bit rates, resolution. Inter and Intra frame coding, I, B, P frames, GOP, slices, blocks, macroblocks. Motion estimation. Hands on Analysing MPEG frames. MPEG4 Profiles and levels, Enhancements, Parts 1,2,3, Part 10 and AVC, Part 14 and mp4. Performance versus MPEG2. MPEG audio Coding, frequencies, bit rates. MPEG-TS PES, Transport Streams, TS elements, packets, PID, Programs, PSI, PAT, PMT, synchronisation, PCR, PTS. MPEG-H Part 2 HEVC, benefits, improvements. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing.