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 | ||