1. Who is this class for?

This class is designed for undergraduate and postgraduate students in Management, Engineering, or related fields who seek to enhance their analytical and decision-making skills. It is ideal for individuals interested in solving complex business and operational problems through systematic methods and tools.

2. What will the students learn in this class?

Students will learn the fundamental principles and methodologies of Operations Research (OR), including:

• Linear programming and optimization techniques.
• Decision-making under uncertainty using probabilistic models.
• Simulation and queuing theory for operational efficiency.
• Network models such as transportation and assignment problems.
• Inventory and supply chain management strategies.
• Practical applications of OR in real-world scenarios, including logistics, resource allocation, and production planning.
  Additionally, students will develop proficiency in using software tools to solve OR problems.

3. Is there anything the students need?

Students need a basic understanding of mathematics, particularly linear algebra and probability. Access to a computer with software like Excel Solver, MATLAB, or Python (with OR libraries) will be beneficial for practical exercises. A keen interest in problem-solving and analytical thinking will help them excel in this course.