ENS259 Information Technology in Industry

4 ECTS - 3-0 Duration (T+A)- 3. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENS259
Name Information Technology in Industry
Term 2018-2019 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HACİRE OYA YÜREGİR
Course Instructor Prof. Dr. HACİRE OYA YÜREGİR (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The objective of this course is to teach students the importance of information management and Information technology used in industry. They will also learn the basics of Experts Systems, Decision Support Systems, Data Mining, ERP software, Logistics Information Systems, Database, e-business, data communications in order to make better decisions. Computer skills of students are also developed through this course.

Course Content

Information Technology basics, hardware, software, database, network, data processing systems, management information systems, decision support systems, expert systems, The Internet and e-business, data mining, logistics information systems, ERP software.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learning IT terminology
LO02 Analyzes the IT infrastructure of the business.
LO03 Increases computer skills. (MS-Office)
LO04 Have knowledge about information technology innovations.
LO05 Have knowledge about IT solutions (DSS, ES, BI, US, GIS, Database, ERP, etc.).


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. 5
PLO02 - Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. 4
PLO03 - Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . 3
PLO04 - Gains ability to choose and apply methods and tools for industrial engineering applications. 5
PLO05 - Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. 5
PLO06 - Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. 4
PLO07 - Can access information and to search/use databases and other sources for information gathering. 4
PLO08 - Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. 5
PLO09 - Can use computer software in industrial engineering along with information and communication technologies. 5
PLO10 - Can use oral and written communication efficiently. 5
PLO11 - Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. 2
PLO12 - Has a conscious understanding of professional and ethical responsibilities. 2
PLO13 - Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. 1
PLO14 - Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. 3


Week Plan

Week Topic Preparation Methods
1 Basic concepts Course Book and handouts
2 Computer hardware Course Book and handouts
3 Computer software Course Book and handouts
4 Data processng systems Course Book and handouts
5 Management Information Systems Course Book and handouts
6 Expert Systems and AI Course Book and handouts
7 Decision Support Systems Course Book and handouts
8 Mid-Term Exam Course Book and handouts
9 Databas Management Systems Course Book and handouts
10 Data Communications Course Book and handouts
11 Internet and Electronic Commerce Course Book and handouts
12 Data Mining Course Book and handouts
13 ERP business intelligence Course Book and handouts
14 Project delivery and presentation Course Book and handouts
15 Project delivery and presentation Course Book and handouts
16 Term Exams
17 Term Exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 50 20
1. Homework 50 20
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 06.05.2025 11:27