Information Package

BMPS103

INDUSTRIAL ROBOTS

Course Code
BMPS103
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelAssociate Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. It defines the sensors, actuators, industrial robots, and artificial intelligence-enabled automation components used in mechatronic systems; it explains their operating principles and basic applications.
  2. Using fundamental software tools in AI-powered mechatronics applications, they program, control, and analyze the performance of robotic systems.
  3. Develops solutions to problems encountered in industrial mechatronics and artificial intelligence applications through teamwork, taking into account the principles of occupational health and safety, ethics, quality, and sustainability, and effectively presents the results.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course takes a hands-on approach to the fundamental components of mechatronic systems, industrial robot technologies, and artificial intelligence-based automation applications. The course covers sensors, actuators, robot control systems, machine vision, basic artificial intelligence algorithms, and smart manufacturing systems. By learning the operating principles of mechatronic systems, students will gain the ability to program and analyze AI-supported robotic applications and apply them to solve industrial problems...
Course Contents
WEEK TOPICS
1st Week The purpose of the course, the introduction of robot and the reasons for being preferred
2nd Week Robot Types
3rd Week Robot elements
4th Week Robot's structure
5th Week Robot Programming
6th Week Application Areas of Robots
7th Week Homework/Presentations/Simulation (General Repetition, Short Exam)
8th Week Midterm
9th Week Classification of Robots
10th Week Parts of Robots
11th Week Concepts and definitions in robot science
12th Week Robot kinematics
13th Week Robot Coordinates
14th Week Homework/Presentations/Simulation (General Repetition, Short Exam)
Recommended or Required ReadingLecture Notes
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Problem Solving
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Quiz 3 20
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 3 6 18
Individual or group work 14 3 42
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load151
Total Work Load / 30 (h)5.03
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X X
K2 X X
K3 X X
K4 X X
K5 X X
K6 X
K7 X X
K8 X X
K9 X
K10 X
K11
K12
K13
K14