574 Courses in London

A photography workshop on how to use shutter speed creatively, including night photography and light trails. Workshop takes place in Central London.

This half day course is designed to help staff working in statutory agencies, and local representatives, understand the role of Local Enterprise Partnerships (LEPs), how the management of European funding for Social Inclusion is changing and requiring more partnership working, and the opportunities and issues that arise in working in partnership with the VCS.

Masterclass: Introduction to Scientific Writing and Publishing

Introducing Vectorworks Flex Learning: A Comprehensive Pay-As-You-Go Training Course

Personalized Revit Training: One-to-One Sessions with Pay-as-You-Go Flexibility

the stained glass summer class at rainbow glass studios August 7th - 11th 2023 is designed to teach all the traditional techniques needed to make a large stained glass panel. This class is for all abilities and is carried out in a well equipt studio in London.

A relaxed and informal Blackwork Embroidery course in the lovely setting of a converted 18th Century cotton mill in Warwick Bridge, Carlisle. This course has been designed to guide the complete beginner or act as a refresher for those who may have dabbled in Blackwork embroidery in the past. We will cover the history, styles of Blackwork embroidery, threads and techniques.

Photography workshop at Chelsea/Battersea, London. Focused on cityscapes, architecture and blue hour photography. Open to photographer of all abilities.

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Personalized SketchUp Training: Pay-As-You-Go One-to-One Sessions