FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 373 | Course Introduction and Application Information

Course Name
Software Applications in Industry
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 373
Fall/Spring
2
2
3
5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of the course is to inform students about corporate resource planning and its basic modules and to provide the students with the infrastructure to implement these modules. This course also explains the concept of "e-" and its applications and includes examples from practice.
Learning Outcomes The students who succeeded in this course;
  • Will be able to explain the development of ERP and ERP Programs used in the industry.
  • Will be able to use an ERP program (SAP) at a basic level.
  • Will learn basic ERP modules and be able to make module-based applications.
  • Will be able to explain the concepts of e-commerce, e-business, e-purchasing, e-payment, e-government and e-learning, and analyze their impact on society
Course Description This course includes information about the development of ERP and its modules, and applications in some of these modules. In addition, it covers the concept of "e-" and its application in different fields.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 ERP Introduction, History and Development, SAP Installation Presentations
2 SAP Introduction and Modules Presentations
3 SAP Navigation Presentations
4 System Administration and User Definitions, openSAP portal Presentations
5 Enterprise Asset Management (EAM) Presentations
6 Project System (PS) Presentations
7 Production Planning and MRP (PP) + Field Trip Presentations
8 Warehouse Management (WM) Presentations
9 Project Presentations -1
10 E-Commerce and Applications Presentations
11 E-Business and Applications + Field Trip Presentations
12 E-Purchasing and E-Payment Presentations
13 E-Government and E-Learning, Impact of E-Commerce on Social Society Presentations
14 Project Presentations -2
15 Review Presentations
16 Final Exam

 

Course Notes/Textbooks

E-Business and E-Commerce Management, Dave Chaffey, Prentice Hall, 2009

Suggested Readings/Materials

Lecture notes are updated on the website on weekly basis.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
20
Presentation / Jury
2
30
Project
Seminar / Workshop
Oral Exams
Midterm
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
5
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
2
28
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
2
7
14
Presentation / Jury
2
12
24
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
1
20
20
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

X
8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

X

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

 


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