Linear Programming (LP) is a fundamental branch of OR that deals with optimizing the allocation of limited resources to achieve specific goals. This course, "Operations Research - Linear Programming," provides an in-depth exploration of the theory, methods, and applications of linear programming in real-world scenarios.

This comprehensive course is designed to provide you with a solid foundation in the exciting world of foreign exchange (forex) trading. Whether you're an aspiring trader seeking to enter the financial markets or a seasoned investor looking to diversify your portfolio, this course will equip you with the essential knowledge and skills to understand and navigate the forex market effectively.

By the end of this course, you will have a solid understanding of the foundations of forex market trading. Armed with this knowledge, you'll be ready to embark on your forex trading journey with confidence and a solid foundation for further advanced studies in the field. Let's begin the exciting journey of Forex Trading 101!

This is an advanced course that delves into specialized topics within linear programming, offering students a deeper understanding of unique scenarios and challenges that arise in real-world optimization problems. This course explores various special cases of linear programming, providing students with the tools to formulate, analyze, and solve complex optimization problems with specific constraints. Through a combination of theoretical concepts and practical applications, students will learn to navigate intricate decision-making scenarios efficiently.

This is an advanced course that delves into specialized topics within linear programming, offering students a deeper understanding of unique scenarios and challenges that arise in real-world optimization problems. This course explores various special cases of linear programming, providing students with the tools to formulate, analyze, and solve complex optimization problems with specific constraints. Through a combination of theoretical concepts and practical applications, students will learn to navigate intricate decision-making scenarios efficiently.

An advanced course that focuses on the principles, models, and applications of Markov theory in analyzing and optimizing stochastic processes and systems. Markov theory provides a powerful framework for studying systems that undergo transitions between states based on probabilistic rules. This course introduces students to the theory, models, and techniques of Markov processes, equipping them with the skills to analyze, model, and optimize dynamic systems in various real-world contexts. Through a combination of theoretical concepts, practical examples, and hands-on exercises, students will develop proficiency in using Markov theory to analyze system behavior, predict outcomes, and make informed decisions to enhance efficiency and performance.

An advanced course that focuses on the principles, models, and applications of queuing theory in analyzing and optimizing the performance of systems involving waiting lines. Queuing theory provides a systematic framework for studying the behavior of waiting lines, predicting system performance, and making informed decisions to enhance efficiency and customer satisfaction. This course introduces students to the theory, models, and techniques of queuing theory, equipping them with the skills to analyze, model, and optimize queuing systems in various real-world contexts. Through a combination of theoretical concepts, practical examples, and hands-on exercises, students will develop proficiency in using queuing theory to analyze waiting line phenomena and make informed system design and management decisions.