1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
  3. INDUSTRIAL ENGINEERING DEPARTMENT
  4. 1265 ENGINEERING MANAGEMENT( Without Thesis)
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MUHY 578MANAGEMENT DATA PROCESSING SYSTEMS3 + 02nd Semester6

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The importance of data processing systems in applications of engineering management will be covered in this course. 
Course Content Data processing systems and strategies; Data processing systems in organisations; Various elements of data processing systems; Organization of data processing systems; decision making and decision support systems; industrail data management; development and establishment of data processing systems; e-business; e-trade; strategic use of data processing systems; the social dimension of data processing Technologies- the impact on organizations and society; industrial applications
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Data processing systems and strategies
2Data processing systems in organisations
3Various elements of data processing systems
4Organization of data processing systems

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001          
LO 002          
LO 003          
LO 004          
Sub Total          
Contribution0000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms12020
Final examination12424
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2016-2017 Spring1CAN BERK KALAYCI
Details 2015-2016 Spring1CAN BERK KALAYCI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MUHY 578 MANAGEMENT DATA PROCESSING SYSTEMS 3 + 0 1 Turkish 2016-2017 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. CAN BERK KALAYCI cbkalayci@pau.edu.tr MUH A0457 %70
Goals The importance of data processing systems in applications of engineering management will be covered in this course. 
Content Data processing systems and strategies; Data processing systems in organisations; Various elements of data processing systems; Organization of data processing systems; decision making and decision support systems; industrail data management; development and establishment of data processing systems; e-business; e-trade; strategic use of data processing systems; the social dimension of data processing Technologies- the impact on organizations and society; industrial applications
Topics
WeeksTopics
1 Information Systems in Global Business Today
2 Global E-Business and Collaboration
3 Information Systems, Organizations, and Strategy
4 Ethical and Social Issues in Information Systems
5 IT Infrastructure and Emerging Technologies
6 Foundations of Business Intelligence: Databases and Information Management
7 Telecommunications, the Internet, and Wireless Technology
8 Securing Information Systems
9 Achieving Operational Excellence and Customer Intimacy: Enterprise Applications
10 E-Commerce: Digital Markets, Digital Goods
11 Managing Knowledge
12 Enhancing Decision Making
13 Building Information Systems
14 Managing Projects
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes