TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Sixth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Assistant Professor Elmas Burcu Mamak Ekinci
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) to be able to apply Statistics to engineering problems 2) to develop in statistical basis analytical approaches to design 3) to evaluate experimental data on the performance and quality of the knowledge and skills 4) to gain the ability to design and development of assessment
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Necessities of experiments, General measurements systems, Experimental methods, Measurements techniques, Basic measurement aperatus, Calibration techniques, Reability concept, Error analysis and uncertanty, Probability concept and basic theorems of probability. Independence, conditional probability and Bayes' rule. Random variable and functions. Considerable discrete and continuous distributions. Distributions of random variables' functions. Subject of statistics and its method. Unit, light, mass, data analysis, central tendency measurements. Sampling and sampling methods, sampling distributions.
COURSE CONTENTS	WEEK TOPICS 1st Week Fundamental Definitions 2nd Week Technical testing and evaluation of data 3rd Week Technical testing and evaluation of data 4th Week Technical testing and evaluation of data 5th Week Regression 6th Week Regression 7th Week Midterm 8th Week Reliability analysis 9th Week Reliability analysis 10th Week Probability distribution functions 11th Week Probability distribution functions 12th Week Artificial intelligence techniques 13th Week Artificial intelligence techniques
RECOMENDED OR REQUIRED READING	Uygulamalı İstatistik, Cilt. I-II , Dr.Özer Serper, Filiz Kitapevi, 1999. Engineering statistics, Robert V. Hogg, Johannes Ledolter, Collier Macmillan, 1987. Dynamics of Marine Vehicles, R.Bhattcharryya, J.Wiley pub.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 15 Attendance 1 5 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam Preparation for Quiz Individual or group work Preparation for Final exam Course hours Preparation for Midterm exam Laboratory (including preparation) Final exam Homework Total Workload Total Workload / 30 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No