Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Dr.Öğr.Üyesi SEÇKİN ARI
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Aim of this course is to obtain strong mathematical background, collect data gained with tests and observation, and arrange and evaluate them, intensify connections with mathematics, engineering and social sciences.
Dersin İçeriği
Definition of statistic, kind of statistic and application areas. Variables,graps and frecuency Dispertion. Data collection and evaluation. Averages. Variability measures. Probability, conditional probability. Multiplication rule. Dependent and independent events. Bayes rule. Random variables. Probability function. Dispertion function. Expected value. Variance and standart deviation. Continual random variables. Interrupted Dispertion. Continual distribution. Hypothesis tests.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Student defines concepts related to probability and statistics, 1 - 2 - 4 - A - C -
2 - Mathematically models complex probability problems expressed verbally, 1 - 2 - 4 - A - C -
3 - Calculates expectations and variances of the results of repeated problems, 1 - 2 - 4 - A - C -
4 - Provides solutions to daily and Computer Engineering problems with proper probability distributions, 1 - 2 - 4 - A - C -
5 - Solves probability problems with computer aid, 1 - 2 - 4 - A - C -
6 - Gains ability to solve a problem with theoretical and statistical techniques, 1 - 2 - 4 - A - C -
7 - Statistically analyzes collected data 1 - 2 - 4 - A - C -
8 - Forms and solves hypothesis tests 1 - 2 - 4 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 Sets, cartesian multiplication and their applications.
2 Basic concepts
3 Statistical data, data collection, table and graphs
4 Position measures
5 Dispertion measures
6 Probability and their Dispertion.
7 Continual probability Dispertion
8 Interrupted probability Dispertion
9 Interrupted probability Dispertion and applications
10 Hypothesis tests
11 Hypothesis tests
12 Regression and correlation analysis
13 Variance analysis technic
14 Applications


Ders Notu Assist.Prof.Dr. Ferhat DİKBIYIK Lecture Notes
Ders Kaynakları Introduction to Probability and Statistics for Engineers and Scientists, 2nd Ed., S. M. Ross, Elseiver, 2000.
A First Course in Probability, 6th Ed., S. M. Ross, Prentice-Hall, 2002
Probability, Random Variables and Stochastic Processes, 4th Ed., A. Papoulis and S. U. Pillai, McGraw-Hill, 2002.
Probability Models for Computer Science, 1st Ed., S. M. Ross, Harcourt, 2002.

Döküman Paylaşımı

Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently,
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods,
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies,
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language,
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology,
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications,
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.

Değerlendirme Sistemi

AraSinav 1 50
Odev 1 16
Odev 2 16
Odev 3 18
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 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 4 4
Assignment 3 4 12
Final examination 1 6 6
Toplam İş Yükü 102
Toplam İş Yükü /25(s) 4.08
Dersin AKTS Kredisi 4.08
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