Hours of Content: 6.5
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 research & development.
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.
What are the requirements?
What am I going to get from this course?
What is the target audience?
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist and later on I decided to get a master degree in applied mathematics. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model. Quantitative analysts use these algorithms and numerical techniques on daily basis so in my opinion these topics are definitely worth learning.
Take a look at my website and join my email list if you are interested in these topics!