Information Package / Course Catalogue
ME 475 Industrial Automation and Robotics
MEF University
Degree Programs
Psychology
General Information For Students
Diploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Engineering
Course Code ME 475
Course Title in English Industrial Automation and Robotics
Course Title in Turkish Endüstriyel Otomasyon ve Robotik
Language of Instruction EN
Type of Course Flipped Classroom,Practical,Project
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: - Lab: - Other: -
Estimated Student Workload 91 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites EE 201 - Circuit Analysis I | EE 212 - Electrical and Electronic Circuits
Expected Prior Knowledge Electrical and Electronic Circuits
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn the basic principles of sequential logic used in the analysis and design of electro-pneumatic/hydraulic automatisms, and programmable logic controllers, as well as the basics of kinematics and dynamics of industrial robot manipulators.
Course Description This course provides an introduction to the foundations of sequential logic systems, electro-pneumatic and electro-hydraulic automatisms, and programmable logic controllers, as well as of robot coordinate systems, direct & inverse kinematics; the Denavit-Hartenberg and the Jacobian methods for inverse kinematics of robot manipulators; dynamics and control of robot manipulators; programming of industrial robots.
Course Description in Turkish Bu ders, robot koordinat sistemlerinin yanı sıra sıralı mantık sistemlerinin, elektro-pnömatik ve elektro-hidrolik otomatizmlerin ve programlanabilir lojik kontrolörlerin temellerine bir giriş sağlar, robot koordinat sistemleri, direkt ve ters kinematik; robot manipülatörlerinin ters kinematiğ için Denavit-Hartenberg ve Jacobian yöntemleri; robot manipülatörlerinin dinamiği ve kontrolü; endüstriyel robotların programlanması.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) debate contemporary issues on industrial automation and robotics;
2) analyze and apply industrial logic systems with programmable logic controllers;
3) analyze and apply kinematic and dynamic methods for industrial robot manipulators;
4) develop and conduct PLC experimental practices, analyze data, draw conclusions;
5) apply engineering design to code and physically implement an industrial application project using a SIEMENS PLC or 2-DOF robot arm to meet realistic specifications;
6) communicate and collaborate on a team, setting goals, accomplishing tasks and meeting deadlines to develop a project and professionally write its final report;
7) self-learn and apply new knowledge by his/her own means as a valuable life-long learning skill.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date DANTE DORANTES , November 2023
Course Coordinator DANTE DORANTES
Semester Fall
Name of Instructor Prof. Dr. DANTE DORANTES

Course Contents

Week Subject
1) Fundamentals of industrial automation. Numerical Systems.
2) Logic gates. Boolean algebra and Karnaugh maps.
3) Combinatorial and sequential circuits. State diagrams and sequential design.
4) Automatisms. Analysis and design of pneumatic systems for automation
5) Analysis and design of electro-pneumatic systems for automation.
6) Ladder diagrams for programmable logic controllers (PLC’s).
7) The SIMATIC environment for Programmable logic controllers (PLC’s).
8) Downloading and running programs for PLC’s.
9) Introduction to industrial robotics. Manufacturing applications.
10) Coordinate systems of manipulators. The direct and inverse kinematics problems.
11) The method of small perturbations. The method of homogeneous matrices.
12) Dynamics of robot manipulators.
13) Dynamics of robot manipulators.
14) Project presentations.
15) Defenses.
16) Defenses.
Required/Recommended Readings• Digital Fundamentals, Thomas L. Floyd, Prentice Hall. (textbook) Other references: • Digital Desing, Tercera edición, John F. Wakerly, Prentice Hall. • Digital Systems, Principles and Aplications, Ronald J. Tocci, Prentice Hall. • Digital Logic and Computer Design, Morris Mano, Prentice Hall.
Teaching MethodsFlipped classroom
Homework and ProjectsProject: Design and implementation of a Programmable-Logic Controller-based industrial automation process.
Laboratory WorkNone
Computer UseMatlab Robotics Toolbox, and specialized automation design software.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Application 6 % 10
Quiz(zes) 5 % 5
Homework Assignments 6 % 30
Project 1 % 35
Final Examination 1 % 20
TOTAL % 100
Course Administration dante.dorantes@mef.edu.tr
0212 395 36 40
Assessment: Flipped classroom practice (FCP) activities are conducted during online class time (20-40 min), by solving a similar previously solved exercise, but working in randomly formed 3-4 student teams, and emailing their solution photo to the instructor by the end of the class. The FCP evidence also counts as student class attendance. Rules for attendance: attendance is taken during Flipped Classroom Practice. A minimum of 70% of attendance is mandatory. Rules for Flipped Classroom Practice: Missed Flipped Classroom Practice will be given a zero grade. Participation quizzes with flaws or lack of individual collaboration attitude during team work will be given a grade of one. Successful flipped classroom participation will be given a grade of two. Rules for missing a midterm: Provided that a valid justification is approved by the university and presented, a make-up exam will be granted one week after the regular midterm date. Minimum grade to be allowed to take the final exam (FZ): Satisfactory Flipped Classroom Practice, Midterm and Project grades, as well as at least 70% attendance are mandatory to be allowed to present the final exam. Missing a final: Faculty regulations A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://www.mef.edu.tr/Yonetmelikler

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 5 2 4 1 35
Project 1 20 30 6 56
Homework Assignments 4 0 0.5 2
Total Workload 93
Total Workload/25 3.7
ECTS 6