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  Course Description
Course Name : Information Technology İn Industry

Course Code : ENM325

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 3

Course Semester : Fall (16 Weeks)

ECTS : 4

Name of Lecturer(s) :

Learning Outcomes of the Course : 1. Learning IT terminology
2. Enhancing IT skills. (MS Office)
3. Being able to propose IT solutions to the company problems
4. Selecting the proper technology by doing feasibility study
5. Having abilities for doing researches on the net.
6. Getting used be reading periodicals for technology watch.
7. Preparing a project for learning how to behave as a member in a team and to improve leadership skills
8. Improving written and oral communications skills

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : 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 Contents : 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.

Language of Instruction : Turkish

Work Place : Classroom, Lab.


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to the course, basic concepts, history of IT Reading the related chapter of the course book Discussion, lecture, brainstorming
2 IT hardware basics Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
3 IT software basics Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
4 Data processing systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
5 Management Information Systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
6 Basics of Artificial Intelligence and Expert Systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
7 Midterm exam Preview and study the chapters learned in the course Midterm exam
8 Decision Support Sstems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
9 Database Management Systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research, lab application
10 Data Communications Systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research
11 The Internet and e-business Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research,
12 Data Mining and Logistics Information Systems Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research,
13 ERP and Business Intelligence Reading the related chapter of the course book Discussion, lecture, brainstorming, Internet research,
14 Preoject delivery and presenteations preoject preparation Oral presentation and term project delivery
15 Project presentations Project preparation Oral presentations
16/17 Final exam Preview and study the chapters learned in the course Final written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  3.Information Technology for Management: Transforming Organizations in the Digital Economy (6th edition). Wiley, 2007
 1. Bilişimde Sistem Analizi ve Tasarımı, Nobel Yayınevi, 2001, Oya H. YÜREGİR,
 2.. K.C. Laudon. and J.P. Laudon. Management Information Systems: Managing the Digital Firm (10th Edition).
Required Course Material(s)  4.Periodicals: Byte, Chip, Bilim ve Teknik


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 25
    Homeworks/Projects/Others 10 75
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. 4
2 Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. 5
3 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
4 Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . 1
5 Gains ability to choose and apply methods and tools for industrial engineering applications. 5
6 Can access information and to search/use databases and other sources for information gathering. 4
7 Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. 4
8 Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. 4
9 Can use computer software in industrial engineering along with information and communication technologies. 5
10 Can use oral and written communication efficiently. 4
11 Has a conscious understanding of professional and ethical responsibilities. 2
12 Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. 2
13 Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. 0
14 Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. 3
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 13 3 39
    Out of Class Study (Preliminary Work, Practice) 13 3 39
Assesment Related Works
    Homeworks, Projects, Others 10 2 20
    Mid-term Exams (Written, Oral, etc.) 1 2 2
    Final Exam 1 2 2
Total Workload: 102
Total Workload / 25 (h): 4.08
ECTS Credit: 4