11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ete.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall
Prerequisites
 MATH 153To succeed (To get a grade of at least DD)
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • will be able to use fundamental concepts such as additon rule, conditional probability, and independence
  • will be able to use the total probability rule and Bayes' theorem
  • will be able to use discrete random variables and their distributions
  • will be able to use continuous random variables and their distributions
  • will be able to use joint probability distributions
Course Description

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Probability Statistics for Engineers and Scientists, William Navidi, 4th Ed., Mc-Graw Hill. (Chapter 2.1-2.2) 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., Mc-Graw Hill. (Chapter 2.2-2.3) 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., Mc-Graw 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., Mc-Graw 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., Mc-Graw Hill. (Chapter 2.4-2.5) 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., Mc-Graw Hill. (Chapter 4.1-4.3) 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., Mc-Graw Hill. (Chapter 4.1-4.3) 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., Mc-Graw Hill. (Chapter 4.3-4.5) 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., Mc-Graw Hill. (Chapter 4.5-4.7) 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., Mc-Graw 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., Mc-Graw 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., Mc-Graw 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., Mc-Graw 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., Mc-Graw 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., Mc-Graw 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

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
4
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
35
Final Exam
1
45
Total

Weighting of Semester Activities on the Final Grade
5
55
Weighting of End-of-Semester Activities on the Final Grade
1
45
Total

ECTS / WORKLOAD TABLE

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
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
40
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Have sufficient background in mathematics, basic sciences and other related engineering areas and to be able to use this background in the problems of the electrical and electronics  engineering. X
2 Be able to identify, formulate and solve electrical and electronics engineering-related problems by using state-of-the-art methods, techniques and equipment. X
3 Be able to analyze an electrical and electronics system, system components or process, and to design with realistic limitations to meet the requirements using modern design techniques. X
4 Be able to choose and use the required techniques and tools for electrical and electronics engineering applications; to use technical symbols and drawings for communication.
5

Be able to design and do simulation and/or experiment, collect and analyze data and interpret the results.   

X
6

Be able to work independently and participate in multidisiplinary teams.

7

Be conscious of project management, office applications, workers’ health, environment and work safety; awareness of professional and ethical responsibilities and the legal consequences of engineering applications.

8

Be able to access information, to do research and use data bases and other information sources.

9

Be able to communicate both in oral and written form in English at a minimum level of European Language Portfolio Global Scale Level B1.

10

Have an aptitude, capability and inclination for life-long learning.

X
11

To be able to use a second foreign language at intermediate level.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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