Course Name : Probability and Statistics

Degree: Bachelor

Code

Year/Semester

Local Credits

ECTS Credits

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

ENG316

3/1 (fall)-3/2(spring)

3

4

3

0

0

Department

Electrical and Electronics Engineering

Instructors

Prof. Dr. Rauf Nurettin NİŞEL

Contact Information

e-mail: rnisel@pirireis.edu.tr

Office Hours

Tuesday 11:00- 11:50

Web page

http://www.pirireis.edu.tr

Course Type

 Compulsory

Course Language

English

Course Prerequisites

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

30

60

10

-

Course Description

This course has two major topics:

1) Basic Concepts in Probability and Probability Distributions

2) Statistics

Course Objectives

1. To provide students with knowledge and skills required for applying fundamentals

    of power electronics devices and basic circuits

2. To analyze the performance of circuits and prepare students towards design of

    Power Electronics Circuits

Course Learning Outcomes

On successful completion of this course, students will be able to

1. Identify the role of statistics in engineering problem-solving process.
2. How variability affects the data collected and used for engineering decisions
3. Differentiate between enumerative and analytical studies
4. Discuss the different methods that engineers use to collect data.
5. Identify the advantages that designed experiments
6. Explain the differences between mechanistic models & empirical models
7. Discuss how probability and probability models are used in engineering and science

Instructional Methods and Techniques

Books, lecture notes and related computer programming tools

Tutorial Place

Classroom

Co-term Condition

Textbook

Miller and Freund's - Probability and Statistics for Engineers, 2011.

Other References

Homework & Projects

Homework assignments based on lectures will be given regularly

Laboratory Work

Computer Use

Other Activities

The weekly coverage may change as it depends on the progress

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

Midterm

1

40

Quiz

Homework

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

60

TOTAL

100

Effects of Midterm on Grading, %

40

Effects of Final on Grading, %

60

TOTAL

100

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

13

3

39

Midterm

1

3

3

Quiz

Homework

5

21

105

Term Paper/Project

Laboratory Work

Practices

Tutorial

Seminar

Presentation

Field Study

Final Exam

1

3

3

Total Workload

150

Total Workload/25

150/25

Course ECTS Credits

6

Week

Topics

Course Outcomes

1

Introduction to structures of data

I-II-III-IV

2

Descriptive Statistics

I-II-III-IV

3

Construction of discrete and continuous frequency distributions

I-II

4

Basic concepts in probability

I-II-III

5

Introduction to Probability Events

II-III-IV

6

Disjoint Events

III-IV-V

7

Joint Events

IV-V-VI

8

MIDTERM EXAM

9

Introduction to probability distributions

I, II, V, VI,VII

10

Uniform, Binomial, Multinomial, Hypergeometric, Poisson Distributions

I, II, V, VI,VII

11

Geometric, Pascal (Negative Binomial),Exponential Beta Distributions

I, II, V, VI,VII

12

Exponential, Beta, Gamma, Weibull, Erlang, Normal Distributions

I, II, V, VI,VII

13

Estimation Methods

I, II, V, VI,VII

14

Hypothesis Testing

I, II, V, VI,VII

Programme Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering

X

b

An  ability to design and conduct experiments, as well as to analyze and interpret data

X

c

An ability to design a system, component or process to meet desired needs

X

d

Ability to function on multi-disciplinary teams

X

e

An ability to identify, formulate, and solve engineering problems

X

f

An understanding of professional and ethical responsibility

X

g

An ability to communicate effectively

 X

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context

 X

i

A recognition of the need for, and an ability to engage in life-long learning

 X

j

A knowledge of contemporary issues

 X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice

 X

l

An ability to apply engineering knowledge in electric and electronics

X

Course Outcomes

I

II

III

IV

V

VI

VII

Programme Outcomes

a

 X

 X

 X

 X

 X

 X

 X

b

 X

 X

 X

 X

 X

 X

 X

c

 X

 X

 X

d

 X

e

 X

 X

f

g

h

 X

 X

i

 X

j

 X

 X

 X

k

 X

 X

 X

 X

 X

 X

 X

l

 X

 X

 X

Prepared by

Prof. Dr. Rauf Nurettin Nişel

Date

26.06.2018

Signature