FACULTY OF ENGINEERING
MECHANICAL ENGINEERING
MECHANICAL ENGINEERING
Course Name   STATISTICS AND APPLICATIONS IN ENGINEERING
Semester Course Code Theoretical / Practice time ECTS
6 1210618 3 / 0 6
Course Degree Bachelor's degree
Course Language İngilizce
Format of Delivery: Face to Face
Course Coordinator Assoc. Prof. Dr. Coşkun Kuş
Coordinator e-mail coskun selcuk.edu.tr
Instructors
Doç.Dr. Coşkun Kuş
Asistant Instructors
Course Objectives This course aimed to learn statistic theory and basic probabilty theory.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
40 60 0 0 0 0 0
Course Learning Methods and Techniquies
This course will done in a class or lab.
Week Course Content Resource
1 Probability experiment, sample space,class, event, algebra,definition of sigma algebra and related samples and theorems Roussas,G.G.,A Course in Mathematical Statistics, 1997
2 Sum rule of probability and Bayes theorem and its applications
3 Discrete event, independence of events,absolute independence and related theorems
4 Discrete event, independence of events,absolute independence and related theorems
5 Random variable concept, distribution function and its properties
6 Probability function and probability density functions Ghahramani,S.Fundamentals of Probability with Stochastic Processes, 2005
7 Expected value, variance, standard deviation, mod, median, quantiles and properties
8 Preparation for midterm exam
9 Some discrete distributions: uniform, bernoulli, binomial Akdeniz, F.Probability and Statistics, 2006
10 Some discrete distributions: poisson, negative binomial, hypergeometric
11 Some continuous distributions: uniform, normal
12 Some continuous distributions: exponential, gamma, chi-square, beta, t
13 General revision Shahbazov, A.,Introduction to probability theory,2005
14 Preparation for final exam
15 Preparation for final exam
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - - - -
Attendance / Participation : - - - -
Practical Exam : - - - -
Special Course Exam : - - - -
Quiz : - - - -
Homework : - - - -
Presentations and Seminars : - - - -
Projects : - - - -
Workshop / Laboratory Applications : - - - -
Case studies : - - - -
Field Studies : - - - -
Clinical Studies : - - - -
Other Studies : - - - -
Mid-term exam   1 40 - -
Final exam   - - 1 60
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 14 1
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : - -
Quiz : - -
Mid-term exam : 1 15
Final Exam : 1 19
ECTS 3
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 Student will have learnt about probabilty theory. 4
D.Ö.Ç. 2 Student will have learnt about statistical theory. 4
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
COURSE LEARNING OUTCOMES AND PROGRAM OUTCOMES AND RELATIONSHIPS MATRIX

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