Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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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
  • Dept.of Electrical and Electronics Engineering(Eng
  • Course Structure Diagram with Credits
  • Industrial Control Systems
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title EEM451 - Industrial Control Systems
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 1+4
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ HÜSEYİN ERSİN EROL, DOKTOR ÖĞRETİM ÜYESİ HÜSEYİN ERSİN EROL, DOKTOR ÖĞRETİM ÜYESİ HÜSEYİN ERSİN EROL
Mode of Delivery Face-to-face
Prerequisites There are no prerequisites or co-requisites for this course.
Courses Recomended EEM491 Linear Control Systems and/or EEM493 Digital Control Systems
Required or Recommended Resources SIMATIC S7-1200 System Manual, TIA Portal (STEP 7 Basic) Training Documents
Recommended Reading List -
Assessment methods and criteria Midterm, Experiment (Laboratory), Homework/Project, Final Exam
Work Placement There are no internships or practical applications other than laboratory work.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Control in Industry and Programmable logic controllers (PLC)
Week - 2 Fundamentals of PLC programming and implementation of the control laws in PLC with logic operations and timer operations
Week - 3 Implementation of the control laws in PLC with counter and comparator functions
Week - 4 Implementation of the control laws in PLC with math operations
Week - 5 PLC ladder logic applications and function blocks in ladder programs
Week - 6 PLC ladder logic applications and function blocks in ladder programs
Week - 7 System properties and hardware configuration
Week - 8 Laboratory experiments
Week - 9 Laboratory experiments
Week - 10 Laboratory experiments
Week - 11 Laboratory experiments
Week - 12 Project work
Week - 13 Data Acquisition systems
Week - 14 Examples of automation systems

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Experiment
  • Drill - Practise
  • Problem Solving
  • Proje Design/Management
  • Competences
  • Rational
  • Questoning
  • Creative
  • Work in teams
  • Use time effectively
  • Problem solving
  • Applying theoretical knowledge into practice
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
Homework 1 15
Final Exam 1 40
Practice 1 25
Toplam (%) 100
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