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      FACULTY OF ENGINEERING

      Department of Computer Engineering

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      MCE 420 | Course Introduction and Application Information

      Course Name
      Automation and Industry 4.0
      Code
      Semester
      Theory
      (hour/week)
      Application/Lab
      (hour/week)
      Local Credits
      ECTS
      MCE 420
      FALL
      2
      2
      3
      6

      Prerequisites EEE 242 (To get a grade of at least DD)
      Course Language English
      Course Type ELECTIVE_COURSE
      Course Level First Cycle
      Mode of Delivery Face-to-face
      Teaching Methods and Techniques of the Course Group Work
      Problem Solving
      Application: Experiment / Laboratory Workshop
      Lecture / Presentation
      National Occupational Classification Code -
      Course Coordinator
      • Öğr. Gör. Gülay Bozdağ
      Course Lecturer(s)
      • Öğr. Gör. Gülay Bozdağ
      • Prof. Dr. Şeniz Ertuğrul
      Assistant(s)
      • Araş. Gör. Rahime Alsanğur
      Course Objectives The aim of this course is to provide Mechatronic Engineering students with basic knowledge on Industrial Automation Technologies and to provide basic analysis, design, and application skills with a program enriched with application examples.
      Learning Outcomes The students who succeeded in this course;
      Name Description PC Sub * Contribution Level
      1 2 3 4 5
      LO1 Be able to distinguish the types of automation used in production 1.5 X
      LO2 Be able to establish the hardware infrastructure of the system by selecting the automation components that meet the requirements. 3.2 X
      LO3 Be able to develop control programs that can perform the operations required by production. 3.1 X
      LO4 Compare developments in automation technologies 3.2 X
      LO5 Be able to design simulations for application examples. 4 X
      Course Description Introduction to Automation of Production Systems, components of the automation system, effective use of hardware and software tools used in automation, selection and installation of an appropriate automation system for a production system, application of digital and analog control structures, integration of basic mechanical, electrical, and computer programming skill, project examples.
      Related Sustainable Development Goals
      Decent Work and Economic Growth

       



      Course Category

      Core Courses
      Major Area Courses
      X
      Supportive Courses
      Media and Managment Skills Courses
      Transferable Skill Courses

       

      WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

      Week Subjects Required Materials Learning Outcome
      1 Introduction to Automation of Manufacturing Systems / Industrial Automation Chapter 1, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO1
      2 Introduction to Programmable Logic Controllers Chapter 2, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 200 LO1
      3 PLC Hardware and Software, Creating Hardware Configuration, Project Startup Chapter 3, 8, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2
      4 Electrotechnics; Relays and Contactors Chapter 3, 31, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2
      5 Logic Sensors; Proximity and Analog Sensors Chapter 4, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2
      6 Boolean Logic Design, K-Map Method Chapter 6,7, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      7 Logic Actuators; Solenoids, Valves, Pneumatic and Hydraulic Actuators, Midterm Chapter 5, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2
      9 Ladder Logic (LD), Function Block Programming (FBD). Structured Programming (ST) Chapter 15, 19, 21. Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      10 Supervisory Control, SCADA, HMI Chapter 30, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      11 Analog Signal Processing Chapter 22, 23, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      12 PWM Technique, Electric Motors Chapter 22, 24, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2
      13 Closed Loop Control, PID 2. VISA Chapter 25, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      14 Closed Loop Control, PID Chapter 25, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO3
      15 Industrial Communication, BUS Systems, MCC, Motor Control Panels. Latest Innovations in Automation, Flexible Manufacturing Systems (FMS), Intelligent Computer Integrated Manufacturing Systems (iCIM) and Industry 4.0 Chapter 26, 31, Automating Manufacturing Systems with PLCs, Version 5.0, Hugh Jack, 2007 LO2, 8cfc0772-ab92-4a6f-90d6-a47d07a83af3
      8 Midterm a8ad8349-575a-4c29-a314-09d8dc25a00a
      16 Final Exam a8ad8349-575a-4c29-a314-09d8dc25a00a

       

      Course Notes/Textbooks Automating Manufacturing Systems with PLCs - Version 5.0 - Hugh Jack - 2007.
      Suggested Readings/Materials Fundamentals of Automation Technology - Technical Book – Festo – 563060
      Digital Design 4th Edition - M. Morris Mano - Prentice Hall
      Mechatronics An Integrated Approach - Clarence W.de Silva - CRC Press
      Vendor Documents and Application Notes.

       

      EVALUATION SYSTEM

      Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5
      Laboratory / Application 4 20 X X X X X
      Project 1 20 X X X X X
      Midterm 1 20 X X X X X
      Final Exam 1 40 X X X X X
      Total 7 100

       

      ECTS / WORKLOAD TABLE

      Semester Activities Number Duration (Hours) Workload
      Participation - - -
      Theoretical Course Hours 16 2 32
      Laboratory / Application Hours 16 2 32
      Study Hours Out of Class 16 3 48
      Field Work - - -
      Quizzes / Studio Critiques - - -
      Portfolio - - -
      Homework / Assignments - - -
      Presentation / Jury - - -
      Project 1 20 20
      Seminar / Workshop - - -
      Oral Exams - - -
      Midterms 1 20 20
      Final Exam 1 28 28
          Total 180

       

      COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

      # PC Sub Program Competencies/Outcomes * Contribution Level
      1 2 3 4 5
      1

      Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

      1

      Mathematics

      2

      Science

      3

      Basic Engineering

      4

      Computation

      5

      related engineering discipline-specific topics

      LO1
      6

      the ability to apply this knowledge to solve complex engineering problems.

      2

      Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

      3

      Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

      1

      Ability to design creative solutions to complex engineering problems.

      LO3
      2

      Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

      LO4 LO2
      4

      Use of Techniques and Tools: Ability to select and use appropriate tectıniques, resources, and modern engineering and computing tools. including estimation and modeling. far the analysis and solution of complex engineering problems while recognizing their limitations.

      LO5
      5

      Research and ınvestigation: Ability to use research methods ta investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

      1

      Literature research far the study of complex engineering problems

      2

      Designing experiments

      3

      Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

      6

      Global lmpact of Engineering Practices: Knowledge of the impacts of engineering practices on s.ociety, health and safety. ttıe economy, sustainability and the environment \ıVlthin the context of the UN Sustainable Development GoaJs; awareness of the legal implications of engineering solutions.

      1

      Knowledge of ttıe impacts of engineering practices on society, health and safety, economy, su.stainability and the environment, within the context of the UN Sustainable Development Goals.

      2

      Awareness of the legal implications of engineering solutions

      7

      Ethical Behavlor: Acting in accordance with the principles of the engineering profession. knowledge about ethical ,esponsibility; awareness of being impartial. without discrimination, and being inclusive of diversity.

      1

      Acting in accordance with engineering professional principles. information about ethical responsibility

      2

      Awareness of being impartial and indusive of diversity, without disaiminating on any subject.

      8

      lndividual and Teamwork: Ability to work effectively individually and as a team member or leader on interdis.ciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

      1

      lndividually and within the discipline

      2

      Ability to work effectivefy as a team member or leader in mutti-disciplinary teams (face-to-face, remote or hybrid)

      9

      Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

      1

      Verbal

      2

      Ability to communicate effectively in writing.

      10

      Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

      1

      Knowledge of business practices such as project management and economic feasibility analysis;

      2

      Awareness of entrepreneurship and innovation.

      11

      Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies. and thinking questioningly about tedınological changes

      *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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