Optimization Methods in Management Science

    Course Code: 
    8123
    Semester: 
    5th
    Compulsory Courses
    Professor: 

    ZACHARIADIS EMMANOUIL

    Course Description

    • Introduction to Python Programming language
    • Ordering Problems
    • Traveling Salesman Problem
    • Vehicle Routing Problem
    • Assignment Problems
    • 1-D Bin Packing Problem
    • Linear Sum Assignment Problem
    • Graph Colouring Problem
    • Quadratic Assignment Problem
    • Προβλήματα Επιλογής
    • Set Covering Problem
    • Weighted Set Covering Problem
    • Knapsack Problem
    • Shortest Path Problem
    • Local Search
    • Local Search Metaheuristics
    • Classification Problems
    • Clustering Problems

    Learning Outcomes

    Upon completion of this course, students will be able to:

    • Identify the operational and strategic goals and constraints that govern the business problems solved during the class
    • Distinguish the computational properties and computational characteristics of business problems
    • Select and suggest the appropriate heuristic and metaheuristic techniques to solve the aforementioned problems
    • Design heuristic and metaheuristic techniques to solve business problems involving big data.
    • Compare the efficiency of the above heuristic and metaheuristic methods
    • Develop the above heuristic and metaheuristic methods in Python
    • Develop basic machine learning algorithms for classification and clustering problems