FACULTY OF ENGINEERING

Department of Mechanical Engineering

MCE 411 | Course Introduction and Application Information

Course Name
Introduction to Robotics
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MCE 411
Fall/Spring
3
2
4
6

Prerequisites
  MCE 310 To succeed (To get a grade of at least DD)
or ME 401 To succeed (To get a grade of at least DD)
or EEE 411 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Q&A
Simulation
Application: Experiment / Laboratory / Workshop
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives With this course, students will have basic knowledge on fundamental concepts of robotics including kinematics, statics, dynamics and control principles of robot manipulators.
Learning Outcomes The students who succeeded in this course;
  • explain fundamentals of robotics
  • explain degrees of freedom
  • describe different coordinate frames of robot manipulators
  • analyse dynamic equations of robot manipulators
  • describe general methods in controlling the motion of robot manipulators
Course Description Provides basic knowledge on fundamentals of robotics such that robot kinematics, robot statics, robot dynamics, robot motion and control principles.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 1)
2 Spatial descriptions and transformations Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 2)
3 Manipulator kinematics Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 2)
4 Inverse manipulator kinematics Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 2)
5 Jacobians: velocities and static forces Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 3)
6 Manipulator dynamics Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 4)
7 Trajectory generation Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 7)
8 Midterm Exam
9 Manipulator-mechanism design Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 5)
10 Linear control of manipulators Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 8)
11 Nonlinear control of manipulators Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 8)
12 Force control of manipulators Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 8)
13 Robot programming languages and systems Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 6)
14 Off-line programming systems Robotics Modelling, Planning and Control, B.Siciliano, (Chapter 6)
15 Review of the semester
16 Final Exam

 

Course Notes/Textbooks

Robotics Modelling, Planning and Control, B.Siciliano, L. Sciavicco, L. Villani, G. Oriolo, ISSN 1439-2232, Springer-Verlag London Limited 2010

Suggested Readings/Materials Robot Manipulators: Mathematics, Programming, and Control, R. P. Paul, The MIT Press, 1981.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
20
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
10
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
16
4
64
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
10
10
Seminar / Workshop
0
Oral Exam
0
Midterms
1
10
10
Final Exam
1
16
16
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Mechanical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design a thermal and mechanical system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in engineering applications.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Mechanical Engineering research topics.

6

To be able to work efficiently in Mechanical Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Mechanical Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechanical Engineering.

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

 


Izmir University of Economics
is an establishment of
izto logo
Izmir Chamber of Commerce Health and Education Foundation.
ieu logo

Sakarya Street No:156
35330 Balçova - İzmir / Turkey

kampus izmir

Follow Us

İEU © All rights reserved.