facebook

Discover the Best Private Computers & Electronics Classes in United Kingdom

For over a decade, our private Computers & Electronics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in United Kingdom, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

0 Teachers your wish list
|
zoom in iconzoom out icon

270 computers & electronics teachers in United Kingdom

أبوبكر

verified teacher icon
£13

60-min

/h

trusted teacher iconTrusted teacher

, Maths, CAD Auto desk inventor , Mechanical Engineering

, Maths, CAD Auto desk inventor , Mechanical Engineering

Mechanical engineering is a broad field that covers various topics related to the design, analysis, and manufacturing of mechanical systems. Here’s a brief overview of the core subjects you would typically study during a mechanical engineering program at university: Mathematics: Calculus: For understanding changes in systems, modeling dynamic behavior, and analyzing forces and motions. Linear Algebra: Used for solving systems of equations, matrix operations, and structural analysis. Differential Equations: Essential for modeling physical systems that change over time (e.g., motion, heat, fluid flow). Probability and Statistics: For analyzing data, reliability, and risks in engineering systems. Physics: Mechanics: Studying the forces and motion in solid bodies (statics and dynamics). Thermodynamics: Understanding energy systems, heat transfer, and the conversion of energy between mechanical forms. Fluid Mechanics: Focuses on the behavior of fluids (liquids and gases) in motion and at rest, which is essential for systems like pumps, engines, and turbines. Material Science: Exploring the properties of materials and how they behave under various conditions (stress, temperature, etc.). Statics and Dynamics: Statics: Study of forces in equilibrium, such as the forces on structures or machines that are not moving. Dynamics: Study of forces and motion in systems that are in motion, including vibrations, acceleration, and kinematics. Strength of Materials: Learning how materials respond to various forces, including stress, strain, bending, and torsion. This is essential for designing durable and safe structures and machines. Manufacturing Processes: Understanding different manufacturing techniques like casting, welding, machining, 3D printing, and material forming. Concepts of production planning, quality control, and design for manufacturability. Control Systems: Study of systems that maintain desired outputs (e.g., in robotics or automated systems). This includes understanding feedback loops and stability. Machine Design: Focus on designing mechanical components (gears, shafts, bearings) to perform specific tasks reliably and efficiently. Heat Transfer: Studying how heat moves through materials and fluids, which is critical for applications like engines, HVAC systems, and electronics cooling. Dynamics of Machinery: The study of moving mechanical components, their vibrations, and how to design them to minimize failure and wear. Computational Methods: Learning how to use software tools (like CAD, FEM, and CFD) for designing, simulating, and analyzing mechanical systems. Robotics and Automation: Study of robotic systems, automation in manufacturing, and how to integrate mechanical components with electronic control systems. Renewable Energy and Sustainability: Topics related to sustainable engineering solutions, energy-efficient systems, and the use of renewable energy sources (wind, solar, etc.).

Ainhoa

verified teacher icon
£26

60-min

/h

trusted teacher iconTrusted teacher

Welcome to the personalised course of Office Suite and Excel, designed specifically for you!

Welcome to the personalised course of Office Suite and Excel, designed specifically for you!

In this course, I will help you acquire practical skills and fundamental knowledge in the use of the Office Suite, with a special focus on Excel. Office Suite refers to the collection of computer applications used to enhance productivity in an office environment. Excel is a widely-used tool in the business field for calculations, data analysis, and chart creation. Throughout the course, we will explore the basics of the Office Suite, including programs such as Microsoft Word, Excel, and PowerPoint, among others. You will learn how to create professional documents using Microsoft Word, deliver effective presentations with PowerPoint, and manage data and perform complex calculations with Excel. Specifically regarding Excel, I will guide you through the fundamentals of the application, from entering data and basic formulas to using advanced functions and data analysis. You will learn how to create efficient spreadsheets, perform mathematical and statistical operations, utilize data analysis and visualization tools, and automate repetitive tasks using macros. Throughout the course, you will have access to practical exercises and case studies to apply your newly acquired knowledge. Additionally, you will have the opportunity to ask questions and receive personalized guidance from the instructor. By the end of the course, you will be proficient in using the Office Suite and have mastered the key functionalities of Excel. You will be prepared to apply your skills in professional and academic settings, whether it's organizing data, creating reports, conducting business analysis, or streamlining daily tasks. I am excited to accompany you on this learning journey and assist you in becoming an Office Suite and Excel expert!

Maiko

verified teacher icon
£17

60-min

/h

trusted teacher iconTrusted teacher

Introduction to Python Programming (algorithms, structures, abstractions)

Introduction to Python Programming (algorithms, structures, abstractions)

<Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

Mattia

verified teacher icon
£62

60-min

/h

trusted teacher iconTrusted teacher

Econometrics & Statistics (R, SPSS, Eviews, Gretl, Stata) for master thesis and assignments

Econometrics & Statistics (R, SPSS, Eviews, Gretl, Stata) for master thesis and assignments

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

Danish Raad

verified teacher icon
£21

60-min

/h

Physics (O-Levels), Mathematics (O-Levels), Marketing, Business Communication, Adobe Illustrator, Photoshop, XD and Wordpress by Elementor

Physics (O-Levels), Mathematics (O-Levels), Marketing, Business Communication, Adobe Illustrator, Photoshop, XD and Wordpress by Elementor

Physics (O-Levels): This course covers the fundamental concepts of physics, including mechanics, heat, light, sound, electricity, and magnetism. Students will engage in both theoretical lessons and practical experiments to develop a deep understanding of physical principles and their applications. Mathematics (O-Levels): This course provides a comprehensive understanding of mathematical concepts such as algebra, geometry, trigonometry, statistics, and probability. Students will enhance their problem-solving skills and learn to apply mathematical techniques to real-world situations. Marketing: This course explores the principles and strategies of marketing, including market research, consumer behavior, product development, pricing strategies, promotion, and distribution. Students will learn how to create and implement effective marketing plans. Business Communication: This course focuses on the development of effective communication skills in a business context. Topics include writing business reports and emails, delivering presentations, interpersonal communication, and professional etiquette. Students will practice and refine their communication skills through various assignments and projects. Adobe Illustrator: This course introduces students to Adobe Illustrator, a vector graphics editor. Students will learn to create illustrations, logos, and other graphic designs using the software's tools and features. The course covers basic to advanced techniques, including typography and image manipulation. Adobe Photoshop: This course covers the essentials of Adobe Photoshop, a powerful image editing software. Students will learn to edit photos, create digital artwork, and manipulate images using layers, filters, and other tools. The course includes both fundamental skills and advanced techniques. Adobe XD: This course focuses on Adobe XD, a user experience design tool for web and mobile applications. Students will learn to design interactive prototypes, wireframes, and user interfaces. The course includes lessons on user-centered design principles and best practices. WordPress by Elementor: This course teaches students how to build and customize websites using WordPress and the Elementor page builder. Topics include setting up a WordPress site, using Elementor to create and edit pages, integrating plugins, and optimizing websites for performance and SEO.

PreviousShowing results 201 - 225 of 270201 - 225 of 270Next

Our students from United Kingdom evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from United Kingdom to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 7 reviews.

“ Weiss’s explanation method made the complex informations easy to consume , moreover , he is patient and open , I really recommend the others to get opportunity to be their tutor. Thanks Weiss. ”

“ Abdi is super nice and very experienced with the Vectorworks program. I recommend his teaching to all those who are new to this program. ”

“ It was very good lesson. Sudhanshu helped me to solve a problem with my Java code in Android studio. ”

To ensure the quality of our Computers & Electronics teachers, we ask our students from United Kingdom to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 7 reviews.

Map
Map