Ders Bilgileri

Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
PROBABILITY AND STATISTICS MKM 212 4 3 + 0 3 4
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Dr.Öğr.Üyesi CEMİL YİĞİT Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Alanına Uygun Temel Öğretim Dersin Amacı Introduction to probability theory and basic statistical concepts to be taught under the heading of: Data collection, summarized, presentation and analysis, make an experimental design with Taguchi method and analysis of variance is the main objective of probability theory and statistics. Dersin İçeriği Introduction, Data Collection, Data Processing, Series, Criteria of central tendency and distribution, Taguchi method and analysis of variance, curve fitting, regression and correlation
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Sorting the frequency distribution can prepare raw data and measures of central tendency of a series (mean, median, mode) and variability can be calculated. 1 - 2 - 3 - 4 - A - C - 2 - Uses Taguchi method. 1 - 2 - 3 - 4 - A - C - 3 - Can make variance analysis. 1 - 2 - 3 - 4 - A - C - 4 - Can make regression and correlation analysis and curve fitting. 1 - 2 - 3 - 4 - A - C -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 4:Drilland Practice Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Probability and Theory of Probability.
2 Introduction to Statistics and data collection techniques.
3 Criteria of central tendency
4 Criteria of central distribution
5 Introduction to MATLAB
6 MATLAB applications for criteria of central tendency and distribution
7 MATLAB application for data processing and graphing
8 Experimental design with Taguchi Method
9 Experimental design with Taguchi Method
10 Analysis of variance and curve fitting
11 MATLAB application for analysis of variance and curve fitting
12 Curve fitting and correlation
13 Regression analysis
14 MATLAB application for regression analysis and correlation

Kaynaklar

Ders Notu

1-Mühendisler İçin İstatistik ve Matlab Uygulamaları, Yrd.Doç.Dr. Aysun Eğrisöğüt Tiryaki, Yrd.Doç.Dr. Cemil Yiğit, 2015

Ders Kaynakları

1-Mühendisler ve Fenciler için Olasılık ve İstatistiğe Giriş, Sheldon M. Ross, Çeviri Editörü: Prof.Dr. Salih Çelebioğlu, Prof.Dr. Reşat Kasap, AP-Academic Press, Nobel Yayınevi, ISBN: 978-605-133-229-1
2-Uygulamalı İstatistik 1,2, Prof. Dr. Özer Serper, Ezgi Kitabevi, Bursa, 2004
3-Teori ve Problemlerle İstatistik, Murray r. Spiegel, Larry J. Stephens, Çeviri Editörü: Prof.Dr. Alptekin Esin, Prof.Dr. Salif Çelebioğlu, Schumas´s Outlines, Nobel Yayınevi, ISBN: 975-591-420-X
4-Matlab ve İstatistiksel Veri Analizi, İpek Deveci Kocakoç, Nobel Yayınevi, ISBN: 978-9944-77-121-4

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice X
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. X
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 58
KisaSinav 1 15
KisaSinav 2 15
Odev 1 12
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 8 8
Quiz 2 1 2
Assignment 1 14 14
Final examination 1 12 12
Toplam İş Yükü 100
Toplam İş Yükü /25(s) 4
Dersin AKTS Kredisi 4
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