11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Spring
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

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

X
3

Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose

X
4

Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice

X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary 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

X
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

X
9

Awareness of professional and ethical responsibility

X
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 Computer Engineering solutions

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

 

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