

Di
- Rate 224 GHS
- Response 1h

224 GHS/hr
1st lesson free
- Computer programming
- C++
- Java
- Artificial Intelligence
- MatLab
Graduate from University of Georgia. Outstanding teaching assistance award from UGA. ACM/ICPC programming contest silver-medal winner.
- Computer programming
- C++
- Java
- Artificial Intelligence
- MatLab
Lesson location
About Di
My name is Di. I have a strong background in computer science, with particular experience in data structures, algorithms, and programming. Over the years, I’ve worked on designing and analyzing efficient algorithms, as well as applying them to real-world problems. I enjoy teaching because I like breaking down complex concepts into clear, practical ideas and helping students build strong problem-solving skills. In this course, my goal is not only to teach you how data structures and algorithms work, but also how to think algorithmically and write efficient, clean code. I encourage questions, discussions, and hands-on practice, and I look forward to working with you throughout this course.
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
Data Structures and Algorithms (C++)
Course Description
This course covers fundamental data structures and algorithms with a focus on efficient design, analysis, and implementation in C++. Emphasis is placed on problem-solving, performance analysis, and real-world applications.
Learning Objectives
Students will learn to:
Implement core data structures in C++
Analyze algorithm efficiency using Big-O notation
Select appropriate data structures for given problems
Design and optimize algorithms
Apply STL effectively alongside custom implementations
Topics Covered
C++ Foundations for DSA
Memory model, pointers, references
Classes, templates, RAII
STL overview (vector, list, map, set)
Algorithm Analysis
Time and space complexity
Asymptotic analysis (Big-O, Θ, Ω)
Recursion and recurrence relations
Linear Data Structures
Arrays and strings
Linked lists
Stacks, queues, deques
Non-Linear Data Structures
Trees and binary search trees
Heaps and priority queues
Hash tables
Graphs
Graph representations
Traversal algorithms (BFS, DFS)
Shortest path and spanning tree algorithms
Sorting and Searching
Binary search
Merge sort, quick sort, heap sort
STL sorting algorithms
Algorithm Design Techniques
Divide and conquer
Greedy algorithms
Dynamic programming
Backtracking (intro)
Advanced / Practical Topics
Union-Find (Disjoint Set)
Amortized analysis
Performance optimization in C++
Rates
Rate
- 224 GHS
Pack prices
- 5h: 1120 GHS
- 10h: 2240 GHS
online
- GHS224/h
free lessons
The first free lesson with Di will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
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