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M-MA-14-MSM1 - Matematicko statisticke metode 1

Course specification
Course title
Acronym M-MA-14-MSM1
Study programme
Module
Type of study
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 8.0 Status
    Condition Oblik uslovljenosti
    The goal The course should enable the student to acquire knowledge and understanding of sampling methods, inventory models, game theory, simulation modeling, organizational performance appraisals, and risk theory
    The outcome Skill application of methods of optimization and decision making and computer processing of set models and conclusion based on the obtained results.
    Contents
    Contents of lectures I
    Contents of exercises Practical classes are held for all areas.
    Literature
    1. Soldić-Aleksić J. (2015): Primenjena analiza podataka, Centar za izdavačku delatnost, Ekonomski fakultet u Beogradu, 2015. (Original title)
    2. Winston W. L. (2004): Microsoft Excel Data Analysis and Business Modeling, Microsoft Press, Washington, (Original title)
    3. Gerber S. B., Finn K. V. (2005): Using SPSS for Windows, Data Analysis and Graphics, Springer Science and Business Media, Inc. (Original title)
    4. SPSS-Priručnik za preţivljavanje, Julie Pallant, Prevod, Mikro knjiga, 2011. (Original title)
    5. SPSS-Analiza bez muke, Sheridan J. Coakes, Prevod, Mikro knjiga, 2013 (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 3
    Methods of teaching Theoretical and practical teaching is held for all areas. Colloquiums follow practical lessons (total 2). Homework and data processing on a computer.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper
    Practical lessons 15 Oral examination 45
    Projects
    Colloquia
    Seminars 40