KWASU CSC 206 — OPERATION RESEARCH

About this course

KWASU CSC 206 OPERATION RESEARCH is a 200 Level course in the Computer Science department, taught in the Second Semester. On La-Net Hub you can watch all 15 recorded lectures for free, grouped into 5 series, read the course lecture note online or download it as a PDF, and test yourself with practice questions.

Operations Research (OR) is a multidisciplinary field that applies advanced analytical methods to help make better decisions and solve complex problems. It integrates mathematics, statistics, computer science, and engineering principles to optimize processes, allocate resources efficiently, and improve organizational performance. The introduction to Operations Research emphasizes its role in decision-making under uncertainty, modeling real-world systems, and providing quantitative support for management and planning. By using techniques such as linear programming, simulation, queuing theory, and network analysis, OR enables organizations to minimize costs, maximize profits, and enhance productivity. In essence, it serves as a bridge between theory and practice, offering systematic approaches to tackle challenges across industries like transportation, healthcare, manufacturing, and finance.

Linear Programming (LP) and Optimization Models are powerful mathematical tools used to find the best possible solution to problems involving limited resources and competing objectives. Linear Programming focuses on optimizing a linear objective function—such as minimizing costs or maximizing profits—subject to a set of linear constraints that represent real-world limitations like budgets, labor, or materials. Optimization models extend this idea by providing structured frameworks to analyze complex decision-making scenarios, ensuring efficiency and effectiveness in operations. These models are widely applied in industries such as manufacturing, transportation, finance, and supply chain management, where they help organizations allocate resources, schedule tasks, and design systems for maximum productivity. In essence, LP and optimization models transform decision-making into a systematic, quantitative process that balances constraints with desired outcomes.

Lectures in this course

Series 1: INTRODUCTION TO OPERATIONS RESEARCH SERIES 1

1. INTRODUCTION TO OPERATIONS RESEARCH 1 11 minutes 53 seconds
2. INTRODUCTION TO OPERATIONS RESEARCH 2 10 minutes 41 seconds
3. INTRODUCTION TO OPERATIONS RESEARCH 3 11 minutes 35 seconds

Series 2: LINEAR PROGRAMMING AND OPTIMISATION MODELS SERIES 2

1. LINEAR PROGRAMMING AND OPTIMISATION MODELS 1 9 minutes 7 seconds
2. LINEAR PROGRAMMING AND OPTIMISATION MODELS 2 8 minutes 46 seconds
3. LINEAR PROGRAMMING AND OPTIMISATION MODELS 3 9 minutes 16 seconds

Series 3: NETWORT MODELS AND CASE STUDIES IN OPERATION RESEARCH SERIES 5

1. NETWORT MODELS AND CASE STUDIES IN OPERATION RESEARCH 1 8 minutes 47 seconds
2. NETWORT MODELS AND CASE STUDIES IN OPERATION RESEARCH 2 8 minutes 55 seconds
3. NETWORT MODELS AND CASE STUDIES IN OPERATION RESEARCH 3 8 minutes 46 seconds

Series 4: QUEUING, INVESTORY AND SIMULATION TECHNIQUES SERIES 4

1. QUEUING, INVESTORY AND SIMULATION TECHNIQUES 1 7 minutes 42 seconds
2. QUEUING, INVESTORY AND SIMULATION TECHNIQUES 2 7 minutes 41 seconds
3. QUEUING, INVESTORY AND SIMULATION TECHNIQUES 3 7 minutes 59 seconds

Series 5: RESOURSE ALLOCATION AND DECISION THEORY SERIES 3

1. RESOURSE ALLOCATION AND DECISION THEORY 1 8 minutes 52 seconds
2. RESOURSE ALLOCATION AND DECISION THEORY 2 8 minutes 31 seconds
3. RESOURSE ALLOCATION AND DECISION THEORY 3 9 minutes 13 seconds

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