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Introduction to System Analysis

PÎRÎ REİS UNIVERSITY

ENGINEERING FACULTY

Industrial Engineering

2017- 2018 FALL Term Course catalog Form

 

Course Name : Introduction to System Analysis

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

IND 212

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

%90

%0

%0

Course Description

System definition, science as human activity, science and systems movement, soft systems thinking basics, hard systems thinking, soft systems in detail and systems methodology in action and its stages. Systems thinking, feedback loops, behaviors.

 

Course Objectives

 

I. To understand the systems in general.

II. To analyze the systems.

III. To gain the fundamental qualifications to design in system thinking methodology.

 

Course Learning Outcomes

 

I. To understand the systems history and basics.

II. To understand the science and systems relationship.

III. To understand the hard and soft systems thinking.

IV. To learn the systems methodology in action.

V. To learn the implications of System practice for Systems Thinking.

Instructional Methods and Techniques

Theoretical studies will be carried out in class room.

Tutorial Place

 

Co-term Condition

 

Textbook

Systems Thinking, System Practice, Peter Checkland, WILEY

Other References

Course Notes

Homework & Projects

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

 

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

2

 

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

15

15

Quiz

2

6

12

Homework

 

 

 

Term Paper/Project

1

18

18

Laboratory Work

 

 

 

Practices

 

 

 

Tutorial

 

 

 

Seminar

 

 

 

Presentation

1

15

15

Field Study

 

 

 

Final Exam

1

15

15

Total Workload

 

 

117

Total Workload/25

 

 

4,68

Course ECTS Credits

 

 

5

 

 

 

Week

 

Topics

Course Outcomes

1

The Subject of  Systems

I

2

Science as a Human Activity

I

3

Science and Systems Movement

I,II

4

Some Systems Thinking

I,II

5

Hard Systems Thinking

III

6

Hard Systems Thinking

III

7

Soft Systems Thinking

III

8

Soft Systems Thinking

III

9

Soft Systems Methodologies: Stages 1-2

III

10

Soft Systems Methodologies: Stages 3-4

III

11

Soft Systems Methodologies: Stages 5-7

III

12

System Studies

IV

13

General Outcomes of Systems Methodology

IV

14

Implications of Systems Practice for Systems Thinking

V

 

 

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

IV

V

Outcomes

Programme Outcomes

a

X

X

X

X

X

b

 

X

 

X

 

c

 

X

X

X

 

d

 

 

X

 

X

e

 

X

X

X

 

f

X

 

 

X

 

g

 

X

 

 

 

h

X

 

X

X

 

i

 

X

X

 

 

j

 

 

X

X

X

k

 

X

X

X

X

l

 

 

 

X

X

       

 

 

Prepared by

Erkan KIYAK

Date

25.07.2018

Signature