Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
School/Faculty/Institute | Faculty of Engineering | |||||||
Course Code | ME 476 | |||||||
Course Title in English | Computer Control and Robotics | |||||||
Course Title in Turkish | Bilgisayar Kontrolu ve Robotik | |||||||
Language of Instruction | EN | |||||||
Type of Course | Flipped Classroom,Practical,Project | |||||||
Level of Course | Introductory | |||||||
Semester | Fall | |||||||
Contact Hours per Week |
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Estimated Student Workload | 160 hours per semester | |||||||
Number of Credits | 6 ECTS | |||||||
Grading Mode | Standard Letter Grade | |||||||
Pre-requisites | None | |||||||
Expected Prior Knowledge | Control systems modeling, basics of electronic circuits | |||||||
Co-requisites | None | |||||||
Registration Restrictions | Only Undergraduate Students | |||||||
Overall Educational Objective | To learn the basic principles of numerical control (NC) of point-to-point and contour modes, as well as the basics of kinematics and dynamics of robot manipulators. | |||||||
Course Description | This course provides an introduction to the foundations of computer control and robotics. The following topics are covered: Design of NC systems; interpolators for point-to-point and contouring systems, the microcontroller and its components; 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, bilgisayar kontrolü ve robotik temellerine giriş sağlamaktadır. İçerdiği konular: NC sistemlerinin tasarımı; Noktadan noktaya ve konturlama sistemleri için interpolatörler, mikrodenetleyici ve bileşenleri; 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 CompetencesUpon successful completion of the course, the learner is expected to be able to:1) identify, analyze, formulate and solve problems of numerical control, and its applications in manufacture. Analyze and discuss contemporary issues in robotics, 2) identify, analyze, formulate and solve problems on interpolators and their applications in point-to-point and contouring systems, 3) identify, analyze, formulate and solve problems on coordinate systems and main kinematic methods for industrial robot manipulators. Apply engineering tools for analysis and problem-solving, 4) apply knowledge of mathematics and engineering to identify, analyze, formulate and solve problems related to dynamics of robot manipulators, 5) construct a prototype, meeting technical specifications and constraints, 6) communicate and work effectively in teams to set goals, tasks, and meet deadlines, 7) engage in real life problem-solving and demonstrate life-long learning skills; 8) write project reports and orally defend them. |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
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. |
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 , May 2018 |
Course Coordinator | DANTE DORANTES |
Semester | Fall |
Name of Instructor | Prof. Dr. DANTE DORANTES |
Week | Subject |
1) | Fundamentals of Numerical Control and its applications to manufacture. Contemporary issues in robotics and automation |
2) | Design considerations of NC machine tools and its components |
3) | Interpolators for manufacturing systems |
4) | Point-to-point and contouring tasks |
5) | Control systems and microcontrollers |
6) | Robotics and industrial robot manipulators |
7) | Coordinate systems and direct kinematics of industrial robot manipulators |
8) | Inverse kinematics of industrial robot manipulators |
9) | The Denavit-Hartenberg method for the kinematics of robot manipulators |
9) | The Denavit-Hartenberg method for the kinematics of robot manipulators |
10) | The Jacobian method for inverse kinematics of robot manipulators |
11) | Dynamics of robot manipulators |
12) | Control of robot manipulators. Programming of industrial robots |
13) | Work on the project |
14) | Work on the project |
15) | Final Examination Period |
16) | Final Examination Period |
Required/Recommended Readings | • Robot Modeling and Control, Mark W. Spong, Seth Hutchinson, and M. Vidyasagar, John Wiley & Sons, Inc. (textbook) Other references: • Robotics, Vision and Control. Fundamental Algorithms in MATLAB, Peter Corke, Springer, 2nd Ed. (2017), ISBN: 978-3-319-54412-0, ISBN: 978-3-319-54413-7 • Robotics Toolbox for MATLAB (Release 6), Peter I. Corke, (2001) • Computer Control of Manufacturing Systems. Yoram Koren, McGraw-Hill International Editions (1983), ISBN-10: 0070353417, ISBN-13: 978-0070353411 • Microcomputer Applications in Manufacturing, A. Galip Ulsoy, Warren R. DeVries, John Wiley, 1 Ed. (1989), ISBN-10: 0471611891, ISBN-13: 978-0471611899 • Introduction to Robotics: Mechanics and Control, John J. Craig, Pearson Prentice Hall, 3rd Ed. (2004), ISBN-10: 0201543613, ISBN-13: 978-0201543612 • Robotics: Control, Sensing, Vision and Intelligence, C.S. George Lee, King-Sun Fu, Ralph Gonzalez, King-Sun Fu, McGaw-Hill International Editions (1987), ISBN-10: 0071004211, ISBN-13: 978-0071004213 • Mechatronics, Takemoto Isii, Isao Shimoyama, Hirotaka Inoue, Michitaka Hirose, Naomasa Nakajima, Mir Publishing (1988), ISBN: 5-03-000059-3 | |||||||||||||||||||||
Teaching Methods | Flipped classroom | |||||||||||||||||||||
Homework and Projects | Matlab and Robotics Toolbox simulation. Construction of a computer-controlled robot. | |||||||||||||||||||||
Laboratory Work | None | |||||||||||||||||||||
Computer Use | Matlab and Robotics Toolbox | |||||||||||||||||||||
Other Activities | None | |||||||||||||||||||||
Assessment Methods |
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Course Administration |
dorantesd@mef.edu.tr 0212 395 36 40 Instructor’s office: 5th Floor office hours: Tuesday 13:00-15:00 email address: dante.dorantes@mef.edu.tr 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 quizzes 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 participation quizzes and individual collaboration attitude will be given a grade of two. Rules for missing a midterm: Provided that a valid justification approved by the university is presented, a make-up examination will be granted one week after the regular exam date. There will be no resit exam. 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 (presentation and defense). 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 |
Activity | No/Weeks | Hours | Calculation | ||||
No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
Course Hours | 12 | 2 | 3 | 1 | 72 | ||
Project | 1 | 8 | 18 | 26 | |||
Homework Assignments | 10 | 0 | 1 | 10 | |||
Midterm(s) | 2 | 12 | 2 | 28 | |||
Final Examination | 1 | 22 | 2 | 24 | |||
Total Workload | 160 | ||||||
Total Workload/25 | 6.4 | ||||||
ECTS | 6 |