Description
Optimization Algorithms: Applications with Python Java. This course teaches participants how to learn and implement these algorithms directly in real-world projects. This course is designed for those who want to improve decision-making in manufacturing, logistics, scheduling, and other data-driven areas through optimization. The course content not only covers the mathematical foundations of algorithms, but also emphasizes their practical implementation in two widely used industrial languages, Python and Java. Python is taught for rapid prototyping and data analysis with the help of its extensive libraries, while Java is used for integrating optimization solutions into enterprise systems and large applications. The course outline starts with fundamentals such as linear programming, the simplex method, and problem formulation, and then moves on to applied case studies such as vehicle routing, production planning, and Bayesian optimization. Heuristic methods such as genetic algorithms and simulated annealing are also taught for when exact methods are not feasible. By providing coding examples, step-by-step explanations, and a clear connection between theory and practice, this course provides the skills necessary to code algorithms and the confidence to apply them in personal and professional projects.
What you will learn
- Formulating Optimization Problems: You will learn how to formulate optimization problems and solve them using linear programming and the simplex method.
- Real-world application of techniques: You can apply optimization techniques to real-world cases such as vehicle routing, production scheduling, and resource allocation.
- Implementing Algorithms in Python and Java: You will implement optimization algorithms in both Python and Java and understand when to use each language in practice.
- Using heuristic methods: You use heuristic methods such as genetic algorithms and simulated annealing to solve complex problems for which exact solutions are not practical.
This course is suitable for people who:
- Students and professionals: People who want to learn optimization algorithms and apply them in Python and Java.
- Java Developers: People who want to expand their skills in mathematical optimization and algorithmic problem solving.
- Data analysts, engineers, and researchers: People looking to apply optimization to logistics, scheduling, manufacturing, or business decisions.
- Learners: People looking for a practical balance between theory and implementation in two widely used programming languages.
Course details Optimization Algorithms: Applications with Python Java
- Publisher: Udemy
- Instructor: Advancedor Academy
- Training level: Beginner to advanced
- Training duration: 2 hours and 54 minutes
- Number of lessons: 20
Course topics
Prerequisites for the Optimization Algorithms: Applications with Python Java course
- A basic understanding of Java programming is required, since part of the course uses Java for optimization projects.
- Familiarity with Python is helpful but not mandatory.
- No prior knowledge of optimization is needed. All mathematical and algorithmic concepts will be introduced during the course.
- A computer with Python and Java installed
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
698 MB
