Course Name 
Probability for Engineers

Code

Semester

Theory
(hour/week) 
Application/Lab
(hour/week) 
Local Credits

ECTS

MATH 240

Spring

3

0

3

6

Prerequisites 


Course Language 
English


Course Type 
Required


Course Level 
First Cycle


Course Coordinator  
Course Lecturer(s)  
Assistant(s) 
Course Objectives  This course aims to introduce students the theory of probability and its applications to engineering problems. 
Course Description 
The students who succeeded in this course;

Course Content  Topics of this course include the axioms of probability, Bayes' theorem, random variables and sums of random variables, law of large numbers, the central limit theorem and its applications. 

Core Courses  
Major Area Courses  
Supportive Courses  
Media and Management Skills Courses  
Transferable Skill Courses 
Week  Subjects  Related Preparation 
1  Introduction to Probability  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.12.2) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 1 and 2) 
2  Introduction to Probability  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.22.3) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapter 2) 
3  Random Variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.4) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
4  Random Variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.4) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
5  Random Variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.42.5) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
6  Commonly used distributions  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 4.14.3) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
7  Commonly used distributions  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 4.14.3) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
8  Commonly used distributions  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 4.34.5) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
9  Commonly used distributions  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 4.54.7) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
10  Commonly used distributions  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 4.8, 4.11) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapters 3 and 4) 
11  Jointly distributed random variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.6) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapter 5) 
12  Jointly distributed random variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.6) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapter 5) 
13  Jointly distributed random variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.6) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapter 5) 
14  Jointly distributed random variables  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. (Chapter 2.6) Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc. (Chapter 5) 
15  Review  
16  Review of the semester 
Course Notes/Textbooks  Statistics for Engineers and Scientists, William Navidi, 4th Ed., McGraw Hill. 
Suggested Readings/Materials  A First Course in Probability, S. Ross, Pearson Prentice Hall. Introduction to Probability, D.P. Bertsekas, J.N. Tsitsiklis, Athena Scientific Applied Statistics and Probability for Engineers, Douglas C. Montgomery & George C. Runger, 5th Ed., John Wiley & Sons, Inc 
Semester Activities  Number  Weigthing 
Participation  
Laboratory / Application  
Field Work  
Quizzes / Studio Critiques 
4

20

Homework / Assignments  
Presentation / Jury  
Project  
Seminar / Workshop  
Portfolios  
Midterms / Oral Exams 
1

35

Final / Oral Exam 
1

45

Total 
Weighting of Semester Activities on the Final Grade  5 
55 
Weighting of EndofSemester Activities on the Final Grade  1 
45 
Total 
Semester Activities  Number  Duration (Hours)  Workload 

Course Hours Including exam week: 16 x total hours 
16

3

48

Laboratory / Application Hours Including exam week: 16 x total hours 
16


Study Hours Out of Class 
16

3


Field Work  
Quizzes / Studio Critiques 
4

6


Homework / Assignments  
Presentation / Jury  
Project  
Seminar / Workshop  
Portfolios  
Midterms / Oral Exams 
1

20


Final / Oral Exam 
1

40


Total 
180

#

Program Competencies/Outcomes 
* Contribution Level


1 
2 
3 
4 
5 

1  Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems  X  
2  Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose  X  
3  Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose  
4  Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice  X  
5  Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems  X  
6  Ability to work efficiently in Software Engineering disciplinary and multidisciplinary teams; ability to work individually  
7  Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages  
8  Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself  
9  Awareness of professional and ethical responsibility  
10  Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development  
11  Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions 
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest