14979 AI courses in Sheffield delivered Online

Learn the processes, practices and principles of project management described in the PRINCE2® approach and prepare for the Foundation and Practitioner examinations on this accredited programme. Duration: 5 days (32.5 hours) Our PRINCE2® Foundation and Practitioner Qualification course is designed to teach the processes, practices and principles of project management described in the PRINCE2® approach and to prepare delegates for the Foundation and Practitioner examinations, held as part of the course. This course is designed for existing and potential Project and Team Managers who would like to gain a comprehensive understanding of the PRINCE2® method of managing projects and will provide those responsible for planning and managing projects with a structure that will help, without imposing inflexible processes or stifling creative thinking. The PRINCE2® Foundation and Practitioner Course is based on the “Managing Successful Projects with PRINCE2® 7th Edition”, which describes the structured project management method. These are intensive modules and require delegates to undertake some evening work in their own time. Objectives  By the end of the course you will be able to be: Describe the background, principles, structure and terminology used in the PRINCE2® 7th Edition project management method Prepare for and take both the PRINCE2® Foundation and Practitioner Exams Please note that examinations are the responsibility of the examination board, PEOPLECERT and must be organised separately by each person attending. Content Introduction Introduction to projects and project management Structure Of PRINCE2® 7th Edition The seven Principles –the basis of what defines a PRINCE2 project People – leading successful change, teams and communication The seven Practices – to be addressed throughout the project The seven Processes - the activities to direct, manage and deliver a project successfully Practices Business case – establishing mechanisms to decide whether project is desirable, viable and achievable Organizing – establishing accountabilities and responsibilities Quality – defining mechanisms to ensure that products are fit for purpose Plans – the product based approach to planning Risk – identifying, assessing and controlling uncertainty Issues – identifying, assessing and controlling changes to the baseline and other issues Progress – monitoring actual achievements against estimate and controlling deviations Processes Starting up a Project - is there a viable and worthwhile project Directing a Project – enabling key decision making by the Project Board Initiating a Project – establishing solid foundations Controlling a Stage –assigning and monitoring work and keeping within stage tolerance Managing Product Delivery – controlling the link between the Project Manager and Team Manager(s) Managing a Stage Boundary – current stage review and next stage planning Closing a Project – confirmation of acceptance and project review Tailoring PRINCE2® - to the project environment Foundation Examination and results Practitioner Workshop and Examination PRINCE2® Practitioner Examination Objectives and Guidance PRINCE2® Review PRINCE2® Practitioner Examination Workshops PRINCE2® Practitioner Examination PRINCE2® Foundation and Practitioner Examinations The PRINCE2® Foundation Exam is of 1 hour duration and consists of 60 multiple choice questions. A Pass is 36 correct answers, 60%. The PRINCE2® Practitioner Exam is a written paper of 2.5 hours duration. There are 70 Objective Test style questions to be answered in the 2.5 hours and the candidate may use an annotated manual. The candidate must score 42/70 to be successful, 60%.   Presented in association with aims4change, a PEOPLECERT Accredited Training Organisation. PRINCE2® is a Registered Trade Mark of AXELOS Limited.

'RCN Accredited Asthma and COPD' CourseThis course is a collaborative offering between your employer and BBO Training Ltd., designed to equip experienced healthcare professionals working in primary care settings with a comprehensive and holistic approach to managing patients with asthma and COPD. Even for those already holding a Diploma in either of these areas, the course has proven to be highly valuable, as indicated by positive evaluations from healthcare professionals.Course AimThe primary objective of this course is to provide qualified healthcare professionals with the necessary knowledge and skills to deliver effective asthma and COPD services in collaboration with their medical colleagues within the community healthcare setting. The course aims to raise awareness of these chronic conditions within the community, ensuring safe practice through the utilization of Patient Group Directions (PGDs) and protocols where appropriate. Participants will be clinically and theoretically prepared to establish and manage review and diagnostic clinics within their competency framework. Furthermore, the course emphasizes the clear differentiation between asthma and COPD.Clinical Practice Program and CompetenciesThroughout the course, you, along with your primary mentor, will organise and validate your clinical engagements, both under supervision and independently. By the time of your final assessment, these forms should be fully completed and ready for submission, accompanied by both your and your mentor's evaluations. Additionally, maintaining a log of all clinical hours and interactions is required, with a minimum of 36 hours.Teaching and Learning ApproachUpon completing this course, students will have the opportunity to:1. Participate in various sessions, including workshops, simulations, discussions, seminars, and tutorials, which can be conducted either virtually or in-person.2. Gain practical experience in asthma and COPD management within their local healthcare settings.3. Develop an in-depth understanding of treatments, including their composition, efficacy, indications, contraindications, and mechanisms of action, through clinical practice.4. Enhance advisory skills related to respiratory care on a broader scale.5. Attend dedicated sessions for clinical practice.6. Document a minimum of 36 hours of supervised clinical practice and maintain an ongoing reflective diary.Expected Course ContentWorkshops, Discussion Groups, Lectures, and Assessment: 40 hoursClinical Practice: A minimum of 36 hoursVisits and Private Study: 44 hoursPrivate study time is essential for reading, conducting factual research on treatments through online sources, and accessing the library for literature searches. This time will facilitate writing, referencing, completing your reflective diary, and preparing for the final assessment.AssessmentSuccessful completion of all components is required. Components 2 to 4 must be passed to complete the course. A resit option is available for any component that is not initially passed, limited to one attempt.1. Reflective Diary: This ongoing document, produced by the student throughout the course, is validated by both the student and mentor. While not directly marked, its completion is integral to your portfolio of evidence.2. Clinical Outcomes: These must be validated and passed by your mentor, with all outcomes achieved, along with a log of clinical hours.3. VIVA: A minimum pass mark of 50% is required.4. Test of Knowledge: A minimum pass mark of 50% is necessary (conducted at the end of the initial study days).Learning OutcomesUpon completion of this course, students will be capable of:1. Evaluating and showcasing clinical competence through a reflective diary/log.2. Demonstrating clinical assessment and treatment proficiency in a VIVA examination and knowledge assessment.3. Effectively educating individuals about self-management and enhancing their understanding of their condition.4. Displaying sensitivity and competence in obtaining comprehensive patient histories.5. Adapting care for diverse patient groups and their unique needs.6. Fulfilling professional responsibilities, including meticulous record-keeping and maintaining confidentiality.7. Teaching the use of various inhalers and assessment equipment.8. Developing fundamental assessment and examination techniques for respiratory conditions.9. Operating with Patient Group Directions and protocols for asthma and COPD care.10. Assessing, planning, implementing, and evaluating individual patient needs comprehensively.

Recognizing the brilliance of someone psychological disturbance normalizes their experience and opens the door to transformative change. We aim to explore the lived experiences on irregular perceptions of reality with an open mind. Each Saturday includes: a live dialogue between Prof. Ernesto Spinelli and an International Existential Therapist; a moment to share your thoughts and feelings with the teachers; and a final integration facilitated by Bárbara Godoy. This series of ten dialogues set out to explore the multifaceted dimentions and complexities associated with Existential Therapies. It attempts to engage with various interpretations of insanity through the lens of patients often painful, confounding, and deeply unsettling life experiences. Invention- between Prof. Ernesto Spinelli and Dr. Betty Cannon “When I first saw the topic of this year’s dialogues, I asked myself whether I had anything to contribute. After all, I told myself, I do not usually work with psychoses or other so-called ‘extreme’ or’ irregular’ states of consciousness. This started me thinking about a series of demonstration videos that I have been making with students and supervisees over the last couple of years as part of a book project. Do those videos display ‘extreme states’? To my surprise, the answer is yes. They are filled with experiences that might be described as hallucinations (positive and negative), dissociative states, paranoia, delusions, manic and depressive states, crippling anxiety, schizoid withdrawal, depersonalization and derealization, and body dysmorphic phenomena. Not to mention the so-called normal neurotic trances that Freud called transference, countertransference and defenses, psychedelically induced extreme states, and those nightly hallucinations, our dreams. So why did I not remember at least some of these states as being ‘extreme’? Perhaps the answer lies in my perspective on therapy, which is largely existential-phenomenological. I think that the following quote, from a letter that Sartre wrote to R.D. Laing, captures the essence of this perspective: “Like you, I believe that one cannot understand psychological disturbances from the outside, on the basis of a positivistic determinism or reconstruct them with a combination of concepts that remain outside the experience as lived and experienced. I also believe that one cannot study, let alone cure, a neurosis without a fundamental respect for the person of the patient, without a constant effort to grasp the basic situation and relive it, without an attempt to rediscover the response of the person to that situation and––like you, I think––I regard mental illness as the ‘way out’ that the free organism, in its total unity, invents in order to be able to live through an intolerable situation.”* When a client and I together are able to appreciate the true brilliance of this invention, my experience is that it not only normalizes the client’s experience, it also opens the doorway to change. It allows us to invent something new.” Dr. Betty Cannon. Betty Cannon, PhD, is a licensed psychologist who has taught and practiced in Boulder, Colorado, for over 40 years. She is Professor Emerita of the Colorado School of Mines and president and founder of the Boulder Psychotherapy Institute, which has trained mental health professionals in Applied Existential Psychotherapy since 1989. In addition to existential philosophy, especially the philosophy of Sartre, AEP has roots in Gestalt therapy, classical and contemporary psychoanalysis, humanistic psychology (especially the person-centered therapy of Carl Rogers), and body-oriented psychotherapy. Betty is a member of the editorial boards of the Journal for the Society of Existential Analysis and Sartre Studies International. She is the author of Sartre and Psychoanalysis and numerous articles and chapters on existential therapy. Her mentor was Hazel E. Barnes, who translated Sartre into English and who was the world’s foremost Sartre scholar until her death in 2008. Betty is her literary executor, and her book on Sartre is dedicated to Hazel. Prof. Ernesto Spinelli was Chair of the Society for Existential Analysis between 1993 and 1999 and is a Life Member of the Society. His writings, lectures and seminars focus on the application of existential phenomenology to the arenas of therapy, supervision, psychology, and executive coaching. He is a Fellow of the British Psychological Society (BPS) as well as an APECS accredited executive coach and coaching supervisor. In 2000, he was the Recipient of BPS Division of Counselling Psychology Award for Outstanding Contribution to the Profession. And in 2019, Ernesto received the BPS Award for Distinguished Contribution to Practice. His most recent book, Practising Existential Therapy: The Relational World 2nd edition (Sage, 2015) has been widely praised as a major contribution to the advancement of existential theory and practice. Living up to the existential dictum that life is absurd, Ernesto is also the author of an on-going series of Private Eye novels. Date and Time: Saturday 25 October from 2 pm to 3 pm – (UK time) Individual Dialogue Fee: £70 Venue: Online Zoom FULL PROGRAMME 2025: 25 January “Knots” with Prof. Ernesto Spinelli and Bárbara Godoy 22 February “Healing” with Dr. Michael Guy Thompson and Prof. Ernesto Spinelli 22 March “Difference” with Prof. Tod DuBose and Prof. Ernesto Spinelli 12 April “Polarisation” with Prof. Kirk Schneider and Prof. Ernesto Spinelli 3 May “Character” with Prof. Robert Romanyshyn and Prof. Ernesto Spinelli 21 June “Opening” with Dr. Yaqui Martinez and Prof. Ernesto Spinelli 19 July “Meaning” with Dr. Jan Resnick and Prof. Ernesto Spinelli 25 October “Invention” with Dr. Betty Cannon and Prof. Ernesto Spinelli 15 November “Hallucination” with Prof. Simon du Plock and Prof. Ernesto Spinelli 13 December “Hysteria” with Bárbara Godoy and Prof. Ernesto Spinelli Read the full programme here > Course Organised by:

Decision Making and Problem Solving: In-House Training 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 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

WiFi demystified training course description A concise overview aimed at less technical staff requiring an overview of WiFi networks. The course covers the technologies at a high level allowing delegates to discuss WiFi networks with others recognising the buzzwords used. The course will also allow the delegates to recognise the issues involved in planning and installing WiFi networks as well as securing them. What will you learn Recognise the different WiFi technologies available. Describe the architecture of WiFi networks including the role of Access Points. Recognise the distance limitations of WiFi networks. Describe the buzzwords used in WiFi. Recognise the security issues of WiFi networks. WiFi demystified training course details Who will benefit: Anyone working with WiFi networks. Prerequisites: None. Duration 1 day WiFi demystified training course contents Introduction When to use wireless, when to use wired, WiFi technologies: 802.11, 802.11a, 802.11b, 802.11g, 802.11n, WiFi speeds and distances, comparison to other wireless technologies, 802.15 (Bluetooth), 802.16 (WiMax). Simple WiFi networks Network cards, Antennae, Access Points, WiFi routers. Enterprise WiFi networks SSIDs, Multiple WiFi networks, Repeaters, Wireless bridges, Controller based access points, Wireless switches, Power Over Ethernet. RF site surveys Steps and techniques, tools, analysing the feasibility of WiFi, range, performance, roaming. Security How safe are WiFi networks? Encryption, Authentication, WEP WPA WPA2. 802.1x, EAP, RADIUS.

Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

If you’re looking to start a career in coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before and are unsure of which programming language to focus on.

Step into the fascinating world of deep learning with our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course. This course takes you through the power of neural networks by using one of the most iconic machine learning challenges—digit recognition. Whether you're brushing up on your AI knowledge or taking your first step into neural networks, this course simplifies the complexity without watering it down. Expect clear, jargon-free explanations that give neural networks a human touch. Learn how digits are recognised, how machines learn from data, and what goes on inside those layers of artificial intelligence—without sounding like a maths textbook. From data input to prediction output, the entire pipeline is broken down in a logical, structured, and thoroughly digestible way. If you're into machine learning, this project will speak your language—digitally. Learning Outcomes: Gain a solid understanding of the principles of deep learning and neural networks. Learn how to use Google Collab to import and preprocess data for deep learning projects. Discover how to create your own neural network model to recognise handwritten digits. Understand how to train your model, make predictions, and evaluate its performance. Learn how to create your own convolutional neural network model for even more advanced recognition tasks. The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network for handwritten digit recognition. Using Google Collab, you'll learn how to import and preprocess data for deep learning projects, create your own neural network model, and train it to recognize handwritten digits with high accuracy. You'll also discover how to evaluate the performance of your model and create a convolutional neural network model for even more advanced recognition tasks. Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum Lesson 01: Introduction to Project Lesson 02: Google Collab Lesson 03: Importing Packages and Data Lesson 04: Preprocessing and Model Creation Lesson 05: Training the Model and Prediction Lesson 06: Model Creation using CNN Lesson 07: CNN Model Prediction How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and neural networks. Programmers who want to learn how to build their own neural network models for advanced recognition tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of deep learning and neural networks. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Step into the future of machine learning with the Machine Learning Model Using AWS SageMaker Canvas Course, designed to make predictive modelling approachable, even if you haven’t written a single line of code. This course takes you through the streamlined world of AWS SageMaker Canvas—Amazon’s no-code solution for machine learning—allowing you to build, train, and deploy models using intuitive drag-and-drop functionality. Whether you're analysing business trends, forecasting sales, or making sense of complex data, this course provides a smart entry point into machine learning logic through a cloud-based platform trusted across industries. You’ll explore the fundamentals of data preparation, model creation, and evaluation—all while using a secure and scalable AWS environment. The course is tailored for analysts, business professionals, and data-curious individuals who want to make informed decisions with the support of AI-driven insights. With engaging lessons and smartly structured modules, this course delivers a smooth and intelligent introduction to machine learning concepts—without the noise. Dive into predictive analytics with confidence, and let AWS SageMaker Canvas guide your journey into data-driven forecasting. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Key Features CPD Accredited Quality License Endorsed Certificate Available Upon Course Completion Course Curriculum: Introduction to Machine Learning What is Machine Learning? Introduction to AWS What is Amazon Web Services (AWS)? Signing into AWS Console Introduction to SageMaker What is SageMaker, and how it is used for Machine Learning? What is SageMaker Canvas? Setup SageMaker Domain and User Setup Setup Data in S3 Buckets for use in SageMaker SageMaker Canvas Interface Walkthrough Navigating in SageMaker Canvas Project 1: Banknote Authentication Adding Training Data Building and Using Model for Prediction Predict Single & Batch Dataset Validating Accuracy of Batch Predictions Project 2: Spam SMS Detection Adding Train & Test Data Building and Using Model for Prediction Predicting Data and Validating Accuracy Project 3: Customer Churn Prediction Adding Data Building Model Performing & Validating Predictions Project 4: Wine Quality Prediction Adding & Joining Datasets Building Model Predicting Test Data Assignment White Wine Quality Prediction Other Important Features in SageMaker Canvas Versioning Congratulations & Next Steps Getting Datasets for Practice Getting Help on SageMaker Canvas Congratulations & Thankyou Exam and Assessment MCQ based test 60% Marks to pass Instant Assessment and Feedback Certification CPD Accredited PDF and Hardcopy Certificate Level 2 QLS Endorsed Hardcopy Certificate for Award in Machine Learning Model Using AWS SageMaker Canvas at QLS Level 2 CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning Model Using AWS SageMaker Canvas course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Machine Learning Model Using AWS SageMaker Canvas course is open to all, with no formal entry requirements. Career path Upon successful completion of the Machine Learning Model Using AWS SageMaker Canvas Course, learners will be equipped with many indispensable skills and have the opportunity to grab. Certificates Certificate of completion Digital certificate - £9 Certificate of completion Hard copy certificate - £69 QLS Endorsed Certificate Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £69 International: £69 + £10 (postal charge) = £79 CPD Accredited Certification from One Education Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25