This course is about the fundamental concepts of algorithmic problems, focusing on backtracking and dynamic programming. As far as I am concerned these techniques are very important nowadays, algorithms can be used (and have several applications) in several fields from software engineering to investment banking or R& D.
- what are recursion and recursive methods
- linear and binary search
- tower of Hanoi problem
- what are selection algorithms
- quickselect algorithm
- the secretary problem
- what is backtracking
- n-queens problem and Hamiltonian cycle problem
- knight's tour problem
- Sudoku game
- what is dynamic programming
- knapsack problem
- coin change problem and rod cutting problem
- bin packing problem
- closest pair of points problem
- top interview questions (Google, Facebook and Amazon)
The first chapter is about backtracking: we will talk about problems such as n-queens problem or hamiltonian cycles, coloring problem and Sudoku problem. In the second chapter we will talk about dynamic programming, theory then the concrete examples one by one: fibonacci sequence problem and knapsack problem.
In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together from scratch in Java.
FINALLY YOU CAN LEARN ABOUT THE MOST COMMON INTERVIEW QUESTIONS (Google, MicroSoft, EPAM etc.)
Thanks for joining the course, let's get started!
- Students should have some basic programming background (loops, classes, objects etc.)
You will understand the following concepts:
- Search algorithms: linear and binary search
- Dynamic programming
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