Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Probabılıty and Statıstıcs JFM 102 2 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Zorunlu
Dersin Koordinatörü Dr.Öğr.Üyesi MAHİR IŞIK
Dersi Verenler Doç.Dr. BEYTULLAH EREN,
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı The aim of this course is to introduce the counting techniques, the concept of probability, the basic elements of probability and to give the students about the use of probability in Statistics.
Dersin İçeriği Introduction and definitions, measures of central tendency, measures of variability, probability and distributions, linear regression, correlation, statistical quality control
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Testing, Homework,
3 Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Testing, Homework,
4 Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Testing, Homework,
5 Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
6 Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
7 Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
Hafta Ders Konuları Ön Hazırlık
1 Introduction to Probability and Statistics, Basic Concepts
2 Serial types, Arrangement of the data as a simple, frequency and grouped series
3 Measures of Central Tendency (Arithmetic, Geometric, Harmonic, Quadratic means)
4 Measures of central tendency not sensitive
5 Measures of variability (Sensitive and Non-sensitive)
6 Measures of variability (Sensitive)
7 Standard deviation calculations
8 Display data in charts
9 Probability, Basic Concepts and introduction to probability distributions
10 Continuous and discrete probability Distributions
11 Simple Linear Regression and Correlation
12 Statistical Quality Control
13 Statistical Quality Control
14 Statistical Quality Control
Kaynaklar
Ders Notu
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 -Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.
5 -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 -Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 -Engineering graduates with well-structured responsibilities in profession and ethics X
10 -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. X
11 -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. X
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Kısa Sınav 10
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
Quiz 2 5 10
Final examination 1 10 10
Assignment 1 5 5
Toplam İş Yükü 131
Toplam İş Yükü / 25 (Saat) 5,24
Dersin AKTS Kredisi 5