CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Quantitative Decision Methods İŞL539 FALL-SPRING 3+0 E 8
    Learning Outcomes
    1-Use analytical skills and creativity
    2-Model problems faced by enterprises in the decision-making process by using various quantitative approaches
    3-Understand the quantitative methods that can be used in solution of business problems
    4-Apply decision making and optimization techniques learned in decision problems of enterprises
    5-Use various information technologies in solution of problems,
    Prerequisites -
    Language of Instruction Turkish / English
    Responsible Pembe GÜÇLÜ, PhD
    Instructors

    1-)Doktor Öğretim Üyesi Pembe Güçlü

    Assistants -
    Resources R1: Tütek, H., Gümüşoğlu, Ş., & Özdemir, A. (2012). Sayısal yöntemler: yönetsel yaklaşım. Beta. R2: Tütek, H., Gümüşoğlu, Ş., Özdemir, A. & Özdemir, A. (2011). Sayısal Yöntemlerde Problem Çözümleri ve Bilgisayar Destekli Uygulamalar. Beta. R3: Ayçin, E. (2019) Çok Kriterli Karar Verme Bilgisayar Uygulamalı Çözümler. Nobel
    Supplementary Book SR1: Winston, W. L., & Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Boston: Duxbury press.
    Goals This course aims to enable the student to develop analytical thinking, problem solving and decision making skills, to make optimal decisions using mathematical methods and computer programs and to be able to interpret the results obtained.
    Content Probability Distributions, Decision Theory, Decision Tree, Linear Programming, Integer Programming, Goal Programming, Game Theory, Multi Criteria Decision Making, Data Envelopment Analysis
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