Course Name Code Semester T+U Hours Credit ECTS
Engineering Statistics MME 103 1 3 + 0 3 5
 Precondition Courses Recommended Optional Courses Course Language English Course Level Bachelor's Degree Course Type Compulsory Course Coordinator Doç.Dr. NESRİN GÜLER Course Lecturers Doç.Dr. NESRİN GÜLER, Course Assistants Course Category General Training Course Objective The objective of this course is giving students to the basic concepts and applications of statistics and providing to enable students to gain the ability to analyze and solve statistical problems. Course Content Basic definitions and consepts, measures of central location, measures of variability, basic consepts of probability, normal distribution, relations  between variables
# Course Learning Outcomes Teaching Methods Assessment Methods
1 the concept of statistics. Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
2 He/She presents of data Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
3 He/She defines and explains measures of central location Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
4 He/She defines and explains measures of variability Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
5 He/She defines and explains basic consepts of probability Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
6 He/She defines and explains continuous random variable, normal distributions Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
7 He/She defines and explains linear relations between variables Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Basic definitions and Consepts
2 Presentation of data
3 Measures of central location
4 Measures of central location
5 Measures of variability
6 Measures of variability
7 Relative positions of data
8 Overview of data displays
9 Midterm
10 Set theory, Basic consepts of probability
11 Conditional probability, Independent events
12 Continuous random variable, normal distributions
13 Continuous random variable, normal distributions
14 Linear relations between variables
Resources
Course Notes <p>Lecture notes</p>
Course Resources

Montgomary D. C., Runger G.C., Applied Statistics and Probability for Engineers, Wiley, 1999.

Walpole R.E., Myers R. H., Myers S. L., Ye K. E., Probability and Statistics for Engineers and Scientists, Pearson, 2010.

Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
2. Kısa Sınav 10
3. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 12 36
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 10 10
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 0 0
Quiz 3 6 18
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 20 20
Quiz 3 0 0
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 20 20
Quiz 3 6 18
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 20 20
Quiz 3 6 18
Final examination 1 16 16
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 16 48
Mid-terms 1 20 20
Quiz 3 6 18
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 12 36
Mid-terms 1 20 20
Quiz 3 6 18
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 12 36
Mid-terms 1 18 18
Quiz 3 6 18
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 12 36
Mid-terms 1 16 16
Quiz 3 6 18
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 3 16 48
Hours for off-the-classroom study (Pre-study, practice) 3 12 36
Mid-terms 1 16 16
Quiz 3 6 18
Final examination 1 18 18