Udemy – Advanced Algorithms and Programming Techniques 2022-5
Udemy – Advanced Algorithms and Programming Techniques 2022-5

Advanced Algorithms and Programming Techniques. This course presents a collection of introductory and advanced algorithms and programming techniques. This course is the result of the instructor’s personal experience as a Competitive Programming instructor, teacher, author, and competition participant. The course is based on the most important theoretical and knowledge issues that a student should master. The topics discussed in this course range from Recursion and its various specific applications (Backtracking, Divide and Conquer) to the Branch and Bound method. Due to the importance of the Dynamic Programming method, this course has two separate lessons dedicated to this method. The course covers many well-known problems, presents their solutions in an understandable way, and provides C++ solutions. The specific goal that the author has in mind is to provide well-organized statements, appropriate examples, efficient solutions, and understandable C++ programs. It is assumed that students already have basic knowledge of the C++ language, experience with STL data structures and implemented methods, the CodeBlocks integrated development environment, and Online Judges.
What you will learn:
- Algorithms and programming techniques
Who is this course suitable for?
- Students who want to prepare for competitions and exams.
Advanced Algorithms and Programming Techniques Course Details
- Publisher: Udemy
- Instructor: Lucian Ilea
- Training level: Beginner to advanced
- Training duration: 4 hours and 29 minutes
- Number of lessons: 28
Course headings
Advanced Algorithms and Programming Techniques Course Prerequisites
- C++, CodeBlocks, elementary level
- The students should be able to read and understand C++ programs
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.1 GB