{"id":28472,"date":"2025-12-06T11:53:27","date_gmt":"2025-12-06T08:53:27","guid":{"rendered":"https:\/\/mie.uth.gr\/?page_id=28472"},"modified":"2026-03-22T12:41:42","modified_gmt":"2026-03-22T09:41:42","slug":"course-optimization-methods-tools","status":"publish","type":"page","link":"https:\/\/mie.uth.gr\/?page_id=28472&lang=en","title":{"rendered":"\u0394\u0395\u0391L0102 OPTIMIZATION METHODS AND TOOLS (Core Elective)"},"content":{"rendered":"\t\t
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\u0394\u0395\u0391L0102 OPTIMIZATION METHODS AND TOOLS (Core Elective)<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u0394\u0395\u0391L0102 OPTIMIZATION METHODS AND TOOLS (Core Elective)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Course Category<\/strong>
Course Type<\/strong>
Course Code<\/strong>
Semester<\/strong>
Contact Hours<\/strong>
ECTS Units
Division<\/strong>
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Graduate
Core Elective
\u0394\u0395\u0391L102
1st (Fall)
3 hours\/week
7.5
Production Management & Industrial Administration
George Kozanidis<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Course Category: <\/strong>Graduate
Course Type:\u00a0<\/strong>Core Elective
Course Code: <\/strong>\u0394\u0395\u0391L0102
Semester: <\/strong>1st (Fall)
Contact Hours: <\/strong>3 hours\/week
ECTS Units: <\/strong>7.5
Division:<\/strong> Production Management and Industrial Administration
Instructor: George Kozanidis<\/a><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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<\/i>Scope<\/span><\/div>

Introduction to the basic concepts of optimization theory, familiarization with fundamental information technology tools (programming languages, software, etc.) for solving optimization problems, and application of acquired knowledge to solve problems encountered in realistic environments.<\/p><\/div>\n\t\t\t\t\t<\/div>

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<\/i>Contents<\/span><\/div>
  • Introduction to optimization theory, categorization and formulation of problems.<\/li>
  • Modeling techniques, solution methods, and sensitivity analysis.<\/li>
  • Commercial software and programming languages (CPLEX, LINGO, MATLAB, EXCEL, C\/C++).<\/li>
  • Real-world applications and case studies.<\/li><\/ul><\/div>\n\t\t\t\t\t<\/div>
    \n\t\t\t\t\t
    <\/i>Bibliography<\/span><\/div>
    • Vasileiou P.X., Georgiou A. (1996). Non-Linear Optimization Methods. Zitis Publications.\u00a0<\/li>
    • Taha H., (2011). Introduction to Operations Research. Greek translation, A. Tziolas & Sons O.E. Publications.\u00a0<\/li>
    • Hillier F.S., Lieberman G.J., (2001). Introduction to Operations Research. McGraw-Hill.<\/li><\/ul><\/div>\n\t\t\t\t\t<\/div>
      \n\t\t\t\t\t
      <\/i>Educational Material<\/span><\/div>

      Lectures, software and programming languages (CPLEX, LINGO, MATLAB, EXCEL, C\/C++).<\/p><\/div>\n\t\t\t\t\t<\/div>

      \n\t\t\t\t\t
      <\/i>Language of Instruction<\/span><\/div>

      Greek or English<\/span><\/span>.<\/span><\/p><\/div>\n\t\t\t\t\t<\/div>

      \n\t\t\t\t\t
      <\/i>Teaching Method<\/span><\/div>

      Lectures and Assignments.<\/p><\/div>\n\t\t\t\t\t<\/div>

      \n\t\t\t\t\t
      <\/i>Assessment<\/span><\/div>
      • Written Final Examination (50%).\u00a0<\/li>
      • Assignments (30%).\u00a0<\/li>
      • Exercises (20%).<\/li><\/ul><\/div>\n\t\t\t\t\t<\/div>
        \n\t\t\t\t\t
        <\/i>Workload (in hours)<\/span><\/div>

        190.<\/p><\/div>\n\t\t\t\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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