📘 Course Title: Operations Research

Code: 29018-AUX

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🏁 **Introduction:

Operations Research (OR)** is the discipline of applying advanced analytical methods to help make better decisions. It blends mathematics, statistics, and computer science to optimize complex systems.

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✨ Course Description:

This course covers the core techniques of Operations Research, from linear and nonlinear programming to queuing theory and network analysis. Participants will learn optimization strategies, modeling techniques, and applications across industries like manufacturing, logistics, and project management.

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🎯 Target Audience:

• Engineering and Business Management students.

• Decision-makers and Analysts.

• Professionals in Logistics, Operations, and Project Management.

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📚 What You Will Learn:

• Formulate and solve linear programming models using the Simplex Method.

• Perform sensitivity analysis to understand model robustness.

• Tackle nonlinear optimization problems with practical methods.

• Model and analyze waiting lines using Queuing Theory.

• Solve network problems like shortest paths and project scheduling (PERT/CPM).

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🧑‍🏫 Instruction Methodology:

• 📖 Concept-based Lectures and Mathematical Derivations.

• 🧮 Practical Problem-Solving Sessions.

• 🔍 Real-world Case Studies.

• 🛠️ Software Tools (e.g., MATLAB, Excel Solver).

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🧩 Main Modules:

1️⃣ Linear Programming

• ➡️ Simplex Method

• ➡️ Sensitivity Analysis

2️⃣ Nonlinear Programming

• 📈 Optimization Methods

• 📈 Practical Applications

3️⃣ Queuing Theory

• ⏳ Waiting Line Models

• ⏳ Operations Management Applications

4️⃣ Network Analysis

• 🗺️ Shortest Path Problems

• 🗺️ Project Scheduling (PERT/CPM)

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🎒 Materials Included:

• 📘 Comprehensive Lecture Notes (PDFs)

• 📊 Practical Worksheets and Problem Sets

• 🧮 Software Tutorials (Excel Solver, MATLAB examples)

• 📹 Recorded Lectures and Case Studies

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🕒 Course Duration:

• 8 weeks — Two lectures per week.

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📈 Level:

• Intermediate to Advanced (Recommended background: basic linear algebra and probability theory).

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