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Data Processing in Industrial Engineering

PîRî REİS UNIVERSITY

ENGINEERING FACULTY

Industrial Engineering

2017- 2018 FALL Term Course catalog Form

Course Name : Data Processing in Industrial Engineering

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

IND 213

2/1

3

5

3

0

0

Department

 

Industrial Engineering

 

Instructors

 

Erkan KIYAK

Contact Information

 

0216. 5810050-1796

Office Hours

 

Web page

 

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  -

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

%10

%70

%10

%10

Course Description

To understand how information systems provide the foundation for modern business enterprises.

 

Course Objectives

 

I. To understand the information systems in businesses.

II. To analyze the information systems in businesses.

III. To gain the fundamental qualifications to design information systems in businesses.

 

Course Learning Outcomes

 

I. Learn the information systems basics.

II. Learn information related topics such as security, privacy etc. and modern technologies.

III. Understand the competitive advantages of organizations using information systems properly.

Instructional Methods and Techniques

Theoretical studies will be carried out in class room.

Tutorial Place

 

Co-term Condition

 

Textbook

Introduction to Information Systems 6th Ed.,Rainer  Prince, WILEY

Other References

Course Notes

Homework & Projects

Analysis and design of a real world industrial system is given as a project. Also, various homeworks can be given to follow up the contemporary ıssues in data processıng

 

Laboratory Work

 

Computer Use

Computer usage necessary for working

Other Activities

 

                   

 

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

14

14

Midterm

1

26

Quiz

 

 

Homework

 

 

Term Paper/Project

1

10

Laboratory Work

 

 

Practices

 

 

Tutorial

 

 

Seminar

 

 

Presentation

1

10

Field Study

 

 

Final Exam

1

40

TOTAL

 

100

Effects of Midterm on Grading, %

 

26

Effects of Final on Grading, %

 

40

TOTAL

 

66

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

14

3

42

Midterm

1

18

18

Quiz

 

 

 

Homework

 

 

 

Term Paper/Project

1

20

20

Laboratory Work

 

 

 

Practices

 

 

 

Tutorial

 

 

 

Seminar

 

 

 

Presentation

1

20

20

Field Study

 

 

 

Final Exam

1

18

18

Total Workload

 

 

118

Total Workload/25

 

 

4,72

Course ECTS Credits

 

 

5

 

Week

 

Topics

Course Outcomes

1

Introduction to Information Systems

I

2

Organizational Strategy and Information Systems

I,III

3

Ethics and Privacy

II

4

Information Security

II

5

Data and Knowledge Management

I

6

Network

I

7

E-Business and E-Commerce

II,III

8

Wireless, Mobile Computing and Mobile Commerce

II,III

9

Social Computing

II,III

10

Information Systems within Organizations

III

11

Customer Relationship Management and Supply Chain Management

II,III

12

Business Intelligence

II,III

13

Acquiring Information Systems and Applications

II,III

14

Cloud Computing

II

                   

 

Relationship between the Course and the Industrial Engineering Curriculum

 

 

Program 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

Application of administrative skills and knowledge in the business world

 

 

x

 

         1: Small, 2: Partial, 3: Full

 

Programme Outcomes & Course Outcomes Connectivity Matrix

 

Course

I

II

III

 

Outcomes

 

Programme Outcomes

 
 

a

X

X

X

 

b

 

 

X

 

c

 

 

X

 

d

 

 

X

 

e

 

X

X

 

f

 

X

 

 

g

X

 

X

 

h

 

X

X

 

i

X

X

X

 

j

 

X

X

 

k

X

X

X

 

l

 

 

X

 

       

 

 

Prepared by

Erkan KIYAK

Date

25.07.2018

Signature