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Mihai
- Rate 1,123 GHS
- Response 1h
1,123 GHS/hr
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- Computer programming
- Programming languages
- C++
- Java
Ex Computer Science Olympic Tutoring: School and Competition Preparation Made Easy! C++
- Computer programming
- Programming languages
- C++
- Java
Lesson location
About Mihai
I have achieved the honor of being an Olympic bronze medalist in informatics at the national level in Romania. After completing my computer science studies in Cluj, I have been working as a Java developer for the past two years. In addition to my professional work, I stay connected to the programming community by mentoring high school and middle school students for competitive coding contests and Olympiads.
If you're seeking assistance with Java programming or algorithmic problem-solving in C++ or Java, I am more than happy to help you.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +14
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Master's degree
Doctor of philosophy
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Child
- English
All languages in which the lesson is available :
English
For the past 2 years, I have been teaching high school students algorithmic programming in C++ specifically for competitions and Olympiads. The curriculum I cover includes a wide range of topics to provide a comprehensive understanding of algorithmic problem-solving.
Here's an overview of the topics I teach:
Bit Operations: Mastering bitwise operations and their applications in solving algorithmic problems.
Arrays and Vectors: Understanding the manipulation and traversal of arrays and vectors for efficient data storage and retrieval.
Matrices: Exploring operations and algorithms involving matrices, such as matrix multiplication and matrix transformations.
String Manipulation: Learning various string manipulation techniques, including string concatenation, substring extraction, and pattern matching.
Data Structures: Introducing fundamental data structures like stacks, queues, linked lists, trees, and graphs, and understanding their properties and operations.
Search Algorithms: Implementing different search algorithms, such as linear search, binary search, and depth-first search (DFS) for efficient data retrieval.
Sorting Algorithms: Studying popular sorting algorithms like bubble sort, insertion sort, merge sort, and quicksort to organize data in ascending or descending order.
Backtracking: Understanding the backtracking technique and its applications in solving problems with a large search space.
Dynamic Programming: Exploring dynamic programming concepts and techniques to solve complex problems by breaking them down into smaller subproblems.
Advanced Topics: Covering additional advanced topics based on student proficiency and interest, such as graph algorithms, advanced data structures, and advanced dynamic programming.
Through my experience, I have developed effective teaching methods, providing clear explanations, offering practice exercises, and guiding students to approach problems critically. My goal is to empower students to excel in algorithmic competitions and Olympiads, equipping them with valuable skills for their academic and professional journeys.
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Rates
Rate
- 1,123 GHS
Pack prices
- 5h: 5 GHS
- 10h: 10 GHS
online
- GHS1,123/h
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