Course Name Code Semester T+U Hours Credit ECTS
Probability and Statistics JFM 102 2 3 + 0 3 5
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level Bachelor's Degree Course Type Compulsory Course Coordinator Dr.Öğr.Üyesi MAHİR IŞIK Course Lecturers Dr.Öğr.Üyesi MAHİR IŞIK, Course Assistants Course Category Course Objective Preparing data for interpretation by using the necessary methods and techniques of probability and statistics. Course Content Classification of observed data, generation of random data, main statistical concepts; average value, variance, standard deviation etc., statistical methods; Gauss distiribution, Student-t distiribution, Chi-square test etc., approximation methods; linear approximation and least squares method etc., interpolation methods; linear interpolation, Lagrange interpolation method etc., correlation and its types.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 He/She distinguishes data types, Lecture, Question-Answer, Testing, Homework,
2 He/She applies statistical methods, Simulation, Drilland Practice, Question-Answer, Lecture, Testing, Homework,
3 He/She defines interpolation methods, Drilland Practice, Question-Answer, Lecture, Homework, Testing,
4 He/She applies correlation process. Drilland Practice, Question-Answer, Lecture, Homework, Testing,
Week Course Topics Preliminary Preparation
1 Classification of observed data
2 Classification of observed data
3 Generation of random data
4 Generation of random data
5 Main statistical concepts; average value, variance, standard deviation etc.
6 Main statistical concepts; average value, variance, standard deviation etc.
7 Statistical methods; Gauss and Student-t distributions, Chi-square test etc.
8 Statistical methods; Gauss and Student-t distributions, Chi-square test etc.
9 Approximation methods; linear approximation and least squares method etc.
10 Approximation methods; linear approximation and least squares method etc.
11 Interpolation methods; linear interpolation, Lagrange interpolation method etc.
12 Interpolation methods; linear interpolation, Lagrange interpolation method etc.
13 Correlation and its types
14 Correlation and its types
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. X
4 -Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively.
5 -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
6 -Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language
8 -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 -Engineering graduates with well-structured responsibilities in profession and ethics
10 -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 60
1. Kısa Sınav 10
1. Ödev 20
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100