Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / MM202 - DEPARTMENT OF MECHANICAL ENGINEERING

Code: MM202 Course Title: PROBABILITY AND STATISTICS Theoretical+Practice: 2+0 ECTS: 5
Year/Semester of Study 2 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department DEPARTMENT OF MECHANICAL ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer NİLÜFER KÜÇÜKDEVECİ (niluferkucukdeveci@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Basic information related with statistics calculationis aimed to be gained students

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can explain and apply the basic concepts of probability and statistics. PO-1 Student, mathematics, physics, chemistry and basic engineering knowledge, has the sufficient information for use in the field of Mechanical Engineering.
PO-7 Student, mathematics, physics, chemistry and theoretical and practical knowledge in the field of Machnical Engineering is able to use for engineering solutions.
 		Examination
LO-2 can explain related degree between the variables and make the parameter estimation. PO-1 Student, mathematics, physics, chemistry and basic engineering knowledge, has the sufficient information for use in the field of Mechanical Engineering.
PO-7 Student, mathematics, physics, chemistry and theoretical and practical knowledge in the field of Machnical Engineering is able to use for engineering solutions.
 		Examination
LO-3 can calculate probabilities using conditional probability and Bayes' theorem. PO-1 Student, mathematics, physics, chemistry and basic engineering knowledge, has the sufficient information for use in the field of Mechanical Engineering.
PO-7 Student, mathematics, physics, chemistry and theoretical and practical knowledge in the field of Machnical Engineering is able to use for engineering solutions.
 		Examination
LO-4 can make correlation and regression analysis PO-2 Student analyzes system and system components or processes and gains the ability to apply modern design methods in this direction.
 		Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Statistical concepts,graphical representation,central tendency and dispersion measures,paradigm,point and interval prediction
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Measurement levels of variables Preperation, question-answer, discussion methods
2 standard deviation Preperation, question-answer, discussion methods
3 Data analysis - The frequency distribution tables Preperation, question-answer, discussion methods
4 probability axioms Preperation, question-answer, discussion methods
5 independent and dependent events Preperation, question-answer, discussion methods
6 Binom distribution Preperation, question-answer, discussion methods
7 Normal distribution Preperation, question-answer, discussion methods
8 mid-term exam
9 sampling distribution Preperation, question-answer, discussion methods
10 sampling distribution and standart error Preperation, question-answer, discussion methods
11 hypothesis concept Preperation, question-answer, discussion methods
12 Error types Preperation, question-answer, discussion methods
13 Correlation Preperation, question-answer, discussion methods
14 Regression Preperation, question-answer, discussion methods
15 Examples and applications Preperation, question-answer, discussion methods
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Akdeniz F., Olasılık ve İstatistik, Nobel Kitabevi, 2007, Adana.
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 2 8 16
       b) Search in internet/Library 2 7 14
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 5 6 30
mid-term exam 2 1 2
Own study for final exam 5 14 70
final exam 2 1 2
0
0
Total work load; 162