facebook
Become a Tutor

Discover the Best Private Computers & Electronics Classes in Chang

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 Chang, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Computers & Electronics tutors & teachers in Chang and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Computers & Electronics class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

Private lessonsComputers & ElectronicsComputers & Electronics in Chang

21 computers & electronics teachers in Chang

0 teachers in my wish list
|
+-

21 computers & electronics teachers in Chang

star icon
active star icon
(2 reviews)
Dimitri - Douala63 CNY
63 CNYMaster Microsoft Outlook – Manage your Emails, Calendar and Tasks like a Pro
Trusted teacher: Do you want to become more efficient in managing your emails, meetings, contacts, and tasks? This comprehensive Microsoft Outlook course will help you better organize your personal and professional activities by harnessing the full potential of this powerful tool. Objective: To make you independent in the use of Outlook (Office 365 version or equivalent), whether for individual or collaborative use. What you will learn: Getting started with the Outlook interface (Web and software) Efficient email management: sorting, rules, filters, signatures, attachments, tracking Calendar organization: creating events, scheduling meetings, checking availability Contact management: address book, contact groups, synchronization Tasks and reminders: create, prioritize and track your actions Advanced features: smart folders, automatic replies, calendar sharing Best practices for clear and professional communication For who ? Employees, managers, executive assistants Management or communications students Self-employed or entrepreneurs Anyone who wants to get better organized with Outlook Methodology : This course is 100% practical, with real-life scenarios tailored to your business. You'll learn by directly using Outlook tools, with guided exercises and tips that can be applied immediately. 📍 Format: In person or remotely ⏱️ Duration: Customizable training (beginner or advanced) 💬 Language: French Don't be overwhelmed by your emails: organize, plan, and collaborate effectively with Outlook. Join this course and regain control of your email!
Microsoft outlook
Translate this text using Google Translate.
Léon - Douala151 CNY
151 CNYHome lessons in mathematics and computer science and physics
Trusted teacher: Digital suites courses I - General A numeric sequence is an application from N to R. • Bounded sequence A sequence (Un) is bounded if there exists a real A such that, for all n, Un ≤ A. We say that A is an upper bound of the series. A sequence (Un) is reduced if there exists a real number B such that, for all n, B ≤ one. One says that B is a lower bound of the sequence. A sequence is said to be bounded if it is both increased and reduced, that is to say if it exists M such that | Un | ≤ M for all n. • Convergent suite The sequence (Un) is convergent towards l ∈ R if: ∀ε> 0 ∃n0 ∈ N ∀n ≥ n0 | un − l | ≤ ε. A sequence which is not convergent is said to be divergent. When it exists, the limit of a sequence is unique. The deletion of a finite number of terms does not modify the nature of the sequence, nor its possible limit. Any convergent sequence is bounded. An unbounded sequence cannot therefore be convergent. • Infinite limits We say that the following (un) diverges Towards + ∞ if: ∀A> 0 ∃n0∈N ∀n ≥ n0 Un≥A Towards −∞ if: ∀A> 0 ∃n0∈N ∀n≤ n0 Un≤A. • Known limitations For k> 1, α> 0, β> 0 II Operations on suites • Algebraic operations If (un) and (vn) converge towards l and l ', then the sequences (un + vn), (λun) and (unvn) respectively converge towards l + l', ll and ll '. If (un) tends to 0 and if (vn) is bounded, then the sequence (unvn) tends to 0. • Order relation If (un) and (vn) are convergent sequences such that we have a ≤ vn for n≥n0, then we have: Attention, no analogous theorem for strict inequalities. • Framing theorem If, from a certain rank, un ≤xn≤ vn and if (un) and (vn) converge towards the same limit l, then the sequence (xn) is convergent towards l. III monotonous suites • Definitions The sequence (un) is increasing if un + 1≥un for all n; decreasing if un + 1≤un for all n; stationary if un + 1 = one for all n. • Convergence Any sequence of increasing and increasing reals converges. Any decreasing and underestimating sequence of reals converges. If a sequence is increasing and not bounded, it diverges towards + ∞. • Adjacent suites The sequences (un) and (vn) are adjacent if: (a) is increasing; (vn) is decreasing; If two sequences are adjacent, they converge and have the same limit. If (un) increasing, (vn) decreasing and un≤vn for all n, then they converge to l1 and l2. It remains to show that l1 = l2 so that they are adjacent. IV Extracted suites • Definition and properties - The sequence (vn) is said to be extracted from the sequence (un) if there exists a map φ of N in N, strictly increasing, such that vn = uφ (n). We also say that (vn) is a subsequence of (un). - If (un) converges to l, any subsequence also converges to l. If sequences extracted from (un) all converge to the same limit l, we can conclude that (un) converges to l if all un is a term of one of the extracted sequences studied. For example, if (u2n) and (u2n + 1) converge to l, then (un) converges to l. • Bolzano-Weierstrass theorem From any bounded sequence of reals, we can extract a convergent subsequence. V Suites de Cauchy • Definition A sequence (un) is Cauchy if, for any positive ε, there exists a natural integer n0 for which, whatever the integers p and q greater than or equal to n0, we have | up − uq | <ε. Be careful, p and q are not related. • Property A sequence of real numbers, or of complexes, converges if, and only if, it is Cauchy SPECIAL SUITES I Arithmetic and geometric sequences • Arithmetic sequences A sequence (un) is arithmetic of reason r if: ∀ n∈N un + 1 = un + r General term: un = u0 + nr. Sum of the first n terms: • Geometric sequences A sequence (un) is geometric of reason q ≠ 0 if: ∀ n∈N un + 1 = qun. General term: un = u0qn Sum of the first n terms: II Recurring suites • Linear recurrent sequences of order 2: - Such a sequence is determined by a relation of the type: (1) ∀ n∈N aUn + 2 + bUn + 1 + cUn = 0 with a ≠ 0 and c ≠ 0 and knowledge of the first two terms u0 and u1. The set of real sequences which satisfy the relation (1) is a vector space of dimension 2. We seek a basis by solving the characteristic equation: ar2 + br + c = 0 (E) - Complex cases a, b, c If ∆ ≠ 0, (E) has two distinct roots r1 and r2. Any sequence satisfying (1) is then like : where K1 and K2 are constants which we then express as a function of u0 and u1. If ∆ = 0, (E) has a double root r0 = (- b) / 2a. Any sequence satisfying (1) is then type: - Case a, b, c real If ∆> 0 or ∆ = 0, the form of the solutions is not modified. If ∆ <0, (E) has two conjugate complex roots r1 = α + iβ and r2 = α − iβ that we write in trigonometric form r1 = ρeiθ and r2 = ρe-iθ Any sequence satisfying (1) is then of the type: • Recurrent sequences un + 1 = f (un) - To study such a sequence, we first determine an interval I containing all the following values. - Possible limit If (un) converges to l and if f is continuous to l, then f (l) = l. - Increasing case f If f is increasing over I, then the sequence (un) is monotonic. The comparison of u0 and u1 makes it possible to know if it is increasing or decreasing. - Decreasing case f If f is decreasing over I, then the sequences (u2n) and (u2n + 1) are monotonic and of contrary Made by LEON
Math · Physics · Computer science
Translate this text using Google Translate.
Meet even more great teachers. Try online lessons with the following real-time online teachers:
Ahmed - EgyptRecently active94 CNY
94 CNYIGCSE ICT & CS, Programming, AI Courses, Data Structure & Algorithms for College Students
Hello, My name is Ahmed & I'm working as a TA in Ain Shams University. I am available for assignments, Homeworks, exams, quizzes, projects, and labs. ---> Pay Only After Task Completion – No Upfront Payments! <---- Expert Programming & Web Development Tutor | Python, Java, C#, C++, Frontend, Backend, Databases, AI & Data Science 💻 Programming Languages: ✔ Programming: C, C++, Java, Python, PHP, JavaScript, HTML ✔ Mathematics: Linear Algebra, Calculus, Discrete Math, Probability, Optimization ✔ Object-Oriented Programming (OOP): Encapsulation, Polymorphism, Inheritance, Abstraction, Design Patterns ✔ Machine Learning: Neural Networks, Regression, Classification, Clustering, Reinforcement Learning ✔ Data Structures & Algorithms (DSA): Trees, Graphs, Linked Lists, Stacks, Queues, Priority Queues, Hash Tables, Tries, Heaps, Disjoint Sets, Sorting Algorithms (Merge Sort, Quick Sort, Heap Sort, etc.), Searching Algorithms (Binary Search, Linear Search), Dynamic Programming, Greedy Algorithms, Divide & Conquer, Backtracking, Topological Sort, Graph Traversals (BFS, DFS), Minimum Spanning Tree (Prim’s, Kruskal’s), Shortest Path Algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), String Algorithms (KMP, Rabin-Karp, Z-Algorithm), and more! ✔ Assignments, Homework, Labs, Projects, Exams, or Quizzes 🌐 Web Development: Frontend – HTML, CSS, JavaScript, React, Laravel Backend – .NET, PHP, Flask, Django 🗄️ Databases: SQL, MongoDB 🧠 AI & Data Science: Python for Data Science, Machine Learning, Pandas, NumPy, Data Visualization ✅ What You’ll Get: Personalized one-on-one sessions Clear explanations with real-world examples Hands-on coding practice Help with assignments, projects, and interview prep A focus on understanding, not memorizing No matter your level, I make learning tech engaging and effective. Let’s turn your goals into achievements—one line of code at a time!
Computer programming · Python · C - c++
Durga Priya - CanadaRecently active167 CNY
167 CNYPython & Data Analytics Instructor | 10+ Years of Corporate IT Training Experience
Hello and Welcome! I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders. Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings. Courses Offered 1. Basic Python Programming This course is designed for beginners who want to build a solid foundation in Python. Topics include: Introduction to Python and environment setup Variables and data types Operators and expressions Conditional statements Types of loops and loop control Functions and scope Data structures: lists, tuples, sets, and dictionaries Mini projects and problem-solving exercises 2. Advanced Python Programming This course is designed for learners who already know the basics of Python and want to explore its advanced features. Topics include: Lambda functions and list comprehensions Generators, yield, and closures Decorators Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation) File handling and exception handling Mini projects integrating multiple concepts 3. Data Analysis Using Python (NumPy and Pandas) This course introduces essential tools for data manipulation and analysis using Python libraries. Topics include: Working with NumPy arrays Using Pandas DataFrames and Series Data cleaning, filtering, and transformation Handling missing values and duplicates Grouping, aggregation, and pivot tables Exporting data to CSV and Excel Real-world exercises with sample datasets
Python · Computer programming · Database
Showing results 1 - 21 of 211 - 21 of 21
Next »»

Our students from Chang evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from Chang to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 21 reviews.

Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
rating star
rating green star
I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS

You are here

Private lessons
Computers & Electronics
Computers & Electronics in Chang
map iconMap