The Electronics Equipment Repair 1 equips participants with practical “Hands-On” skills relevant to the workplace and the theory required for certification. Participants on successful completion of the course will have the skills and knowledge to: Demonstrate the operation of a wide range of electronic components and circuits and their applications in modern electronic-based equipment such as amplifiers, Hi-Fi systems, stereos, and control systems Construct, test and fault-find the following popular basic circuits: Power supplies, amplifiers, timers, etc. Become competent in the correct use of electronic test and measurement equipment such as Analogue and Digital Multimeter and Oscilloscopes.
Feedback Mastery Unleashed: 28 day online mini-programme to ignite high performance leadership for high achieving teams
The Alarm Installation Course is designed to teach participants how to install an intruder alarm system in domestic, commercial or industrial premises. The Alarm Installation Course simulates the practical installation of many different alarm control panels. The course is designed to equip students with the skills and expertise to competently install a wide variety of Alarm systems on the market.
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Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.
Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)
Have you heard of Q fever? Join this free informative session about the disease and how it impacts herds and flocks in the UK. We will share our findings and bring forward case information, where herds have been impacted by the disease and are now beginning to take control of the disease through a number of steps, including vaccination and biosecurity measures. Q Fever is a disease caused by infection with the bacterium Coxiella burnetii, which can infect cattle, goats, sheep and many other mammals. Studies on the UK cattle herd indicate that Q fever is highly prevalent. Q fever is zoonotic, with those people in direct contact with ruminants at most risk – This will be a great opportunity for those working with livestock or going onto farms, to get the answers to the many questions that this disease raises. Join us for a free webinar to explore the disease behind the “silent troublemaker” that is Coxiella burnetii. Find out how Q-Fever can affect your flock, cattle or goat herds, and some of the challenges with diagnosis and management. Your speakers We are delighted to be joined by our expert guest speakers to share their insights and experiences. Prof Jonathan Statham, MA VetMB DCHP FRCVS. RCVS Recognised Specialist in Cattle Health of Bishopton Farm Vets & chair of AHWBE Jonathan graduated from Cambridge Veterinary School in 1996. He is a cattle vet, partner & chair of Bishopton Veterinary Group, a 40 vet practice in Ripon, North Yorkshire (a member of XL Vets) and is director and Chief Executive of RAFT Solutions Ltd (an innovative veterinary research, consultancy and knowledge exchange company). He is past-president of the British Cattle Veterinary Association (BCVA) and the Yorkshire Veterinary Society and has sat on the GB ‘Cattle Health & Welfare Group’ (CHAWG), GB ‘Sheep Health & Welfare Group’ (SHAWG), the Veterinary Policy Group (VPG) of the British Veterinary Association (BVA) and is a past director of Cattle Health Certification Standards (CHeCS) and member of the ‘Farmskills’ Steering Group. He is an examiner for the University of Liverpool, member of the Royal College of Veterinary Surgeons (RCVS) Advanced Practitioner Panel, a member of the Nottingham Dairy Innovation Forum, the International Embryo Transfer Society & served on the Veterinary Residues & Products Committees (VRC & VPC) of the Veterinary Medicines Directorate (VMD). He currently sits on UK Animal Science Advisory Board (ASAB) Knowledge Transfer Network (KTN), is a fellow of Askham Bryan College & is a non-executive director of the Animal Health & Welfare Board of England (AHWBE). Main veterinary interests include reproductive technologies, nutrition, mastitis control and progressive herd health & production management. He has published a wide range of papers, articles and book chapters and is a co-author of textbook ‘Dairy Herd Health’. He holds the Royal College of Veterinary Surgeons (RCVS) Diploma in Cattle Health & Production, is a RCVS recognised specialist in Cattle Health & Production and was named UK Dairy Vet of the year 2015. He became visiting Professor of Sustainable Livestock Health & Welfare at Harper-Keele Veterinary School, Institute of Sustainable Health & Welfare (InSHAW) in 2020. Katherine Timms, BVetMed (Hons), MRCVS. Ruminant Veterinary Advisor, Ceva Animal Health Katherine grew up in Leicestershire and went to the Royal Veterinary College, graduating with honours in 2007 before working in mixed practices in the Midlands with dairy, beef and equine clients. Katherine has a busy home life being married to a beef and sheep farmer with three children and having an active involvement in rural life. Katherine joined Ceva Animal Health in 2014 as part of the technical team, covering the UK in the role of veterinary advisor for the ruminant part of the business. Registrations are open to vets, farmers, SQP’s and those in farm supporting roles. Time permitting, the webinar will finish with a brief Q&A session.
Overview To achieve maximum effectiveness, managers and professionals must continually expand their business knowledge and sharpen their skills. This program is designed to achieve this goal in a time-efficient manner. Integration of Downstream Refining and Petrochemicals to achieve greater efficiencies is yet another critical factor in this business which will be covered in this course
Training Trainers of Spiritual Directors Developing the abilities needed to facilitate Spiritual Direction formation programmes
Overview This course is meant for legal professionals to enhance their skills in litigation and understand the core areas of the process so that they can deliver great services to their clients. The course will focus on updating the skills in civil procedure with recent case law and legislative reforms to everyday issues.