Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Turkish
    • Turkish Turkish
    • English English
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Industrial Engineering
  • Course Structure Diagram with Credits
  • Decision Support Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title BİL409 - Decision Support Systems
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 6.0
Course Instructor(s) DOÇENT DOKTOR EMRE ÇİMEN, PROFESÖR GÜRKAN ÖZTÜRK
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended BİL 255 Advanced programming, BİM 211 Visual Programming
Recommended Reading List
Assessment methods and criteria 2 Midterm (2 x %20) Term Project %20 Final %40
Work Placement Not Applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Lecture: Introduction to DSS Lab: Introduction to VBA in Excel (I)
Week - 2 Lecture: DSS concepts, methodologies, and technologies Lab: Introduction to VBA in Excel (II)
Week - 3 Lecture: Decision models (I) Lab: Control logic, objects, and arrays
Week - 4 Lecture: Decision models (II) Lab: Subroutines
Week - 5 Exam 1 Lab: User forms
Week - 6 Lecture: Decision models (III) Lab: Error handling
Week - 7 Lecture: Business intelligence (BI) and data warehousing Lab: Solver and other add-ins
Week - 8 Lecture: Data mining concepts and techniques Lab: Applications
Week - 9 Exam 2 Lab: Applications
Week - 10 Lecture: Web-based DSS Lab: Work on project
Week - 11 Lecture: System development and acquisition Lab: Work on project
Week - 12 Lecture: Integration, impacts, and future of DSS Lab: Work on project
Week - 13 Project presentation
Week - 14 Project presentation

Learning Activities and Teaching Methods

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Project 1 20
Final Exam 1 50
Toplam (%) 100
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Open&Distance Education
  • Info for Students
  • Cost of living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Special Needs Students ı
  • Insurance
  • Financial Support for Students
  • Student Affairs Office
  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
  • Sports and Leisure Facilities
  • Student Associations