Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Operatıons Research and Statıstıcs YBS 519 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi YUKSEK_LISANS
Dersin Türü Seçmeli
Dersin Koordinatörü Doç.Dr. HALİL İBRAHİM CEBECİ
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı The aim of this lecture is to teach the position of the statistics and operations research in decision making processes and to present basic information about statistics and operations research techniques.
Dersin İçeriği Modeling with Linear Programming, Sensitivity Analysis, Business Applications of Linear Programming, Transportation and Assignment Problems, Multi Objective Decision Making Techniques, Descriptive and Inferential Statistics, Probability and Probability Distributions, Hypothesis Testing, Analyzing the relationship between variables, Qualitative data analysis
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Understating different kind of business problems and converting these to mathematical models Question-Answer, Drilland Practice, Simulation, Brain Storming, Case Study, Problem Solving, Testing, Homework, Project / Design,
2 Solving and interpreting the business problems Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
3 Implementing the sensitivity analysis with understanding the relationship between model parameters and solution procedure Lecture, Question-Answer, Drilland Practice, Problem Solving, Project / Design, Testing, Homework,
4 Modeling, solving and interpreting the multi objective business models. Lecture, Question-Answer, Drilland Practice, Problem Solving, Testing, Homework, Project / Design,
5 Understanding the effect of the operations research techniques in real business environment Lecture, Question-Answer, Discussion, Brain Storming, Testing,
6 Understanding the value of operations research techniques in decision making and management processes Lecture, Question-Answer, Discussion, Brain Storming, Testing,
7 Understandig the value of statistics in decision making processes Lecture, Question-Answer, Discussion, Brain Storming, Testing,
8 Interpreting the relationship between management information systems and statistics. Lecture, Question-Answer, Discussion, Brain Storming, Testing,
9 Learning the suitable statistical methods to match the attributes of data sets and interpreting the statistical analysis solution Lecture, Question-Answer, Discussion, Drilland Practice, Group Study, Case Study, Self Study, Testing, Homework, Project / Design,
Hafta Ders Konuları Ön Hazırlık
1 Modeling with Linear Programming Taha, 11-66
2 Modeling with Linear Programming Taha, 11-66 / Winston 241-245
3 Sensitivity Analysis Taha, 141-162 / Winston, 127-137
4 Business Applications Winston, 245-297
5 Business Applications Winston, 245-297
6 Transportation and Assignment Problems Taha, 163-210 / Winston, 261-267
7 Multi Objective Decision Making Lecture Notes
8 MID TERM EXAM
9 Introduction to Statistical Analysis Lecture Notes / Anderson 1-29
10 Descriptive Statistics Lecture Notes / Anderson 30-154
11 Probability and Probability Distributions Lecture Notes / Keller 175-306
12 Hypothesis Testing Lecture Notes / Anderson 347-392 / Keller 525-596
13 Analyzing the Relationship Between Variables Lecture Notes / Keller 633-729
14 Qualitative Data Analysis Lecture Notes / Keller 596-632
Kaynaklar
Ders Notu
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 Can use next generation computing-based business analytics techniques and apply these methods to business problems
2 Offers developed solutions with information technologies such as Business Intelligence tools
3 Makes the routine decisions necessary for the execution of operational works with the help of information technologies.
4 Makes medium and long term strategic decisions with the help of information systems.
5 Can transform business processes into electronic form with the help of information systems
6 Contributes to the sustainability of processes with electronic transformation.
7 Makes a basic literature search on the field.
8 Knows about research methodology and applies this knowledge to informatics issues.
9 Leading the working group by communicating within the team in teamwork.
10 Effectively uses group communication technologies in IT projects management.
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 50
1. Ödev 25
2. Ödev 25
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Assignment 2 10 20
Final examination 1 15 15
Toplam İş Yükü 141
Toplam İş Yükü / 25 (Saat) 5,64
Dersin AKTS Kredisi 6