Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / BLM312 - DEPARTMENT OF COMPUTER ENGINEERING

Code: BLM312 Course Title: ROBOTICS Theoretical+Practice: 2+0 ECTS: 3
Year/Semester of Study 3 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department DEPARTMENT OF COMPUTER ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer SEMA ATASEVER (sema@nevsehir.edu.tr)
Name of Lecturer(s) EBUBEKİR KAYA, NUH AZGINOĞLU,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
This course aims to provide students with the basic concepts used in programming of robots that perform autonomous tasks such as navigation and the theory behind them.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can describe the different physical forms of robot architectures. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-2 can model mobile robots kinematically. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-3 can describe a kinematic robot system mathematically. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-4 can analyze manipulation and navigation problems using knowledge of coordinate frames, kinematics, optimization, control, and uncertainty. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
LO-5 can compute inverse kinematics. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
Performance Project
LO-6 can perform stability analysis of a robot system. PO-14 Students know the basic robotic coding concepts.
PO-15 Students will be able to design a system or process to meet the desired needs.
PO-16 Students gain the ability to work individually/in a group or with interdisciplinary teams.
PO-17 Students adopt professional and ethical responsibility.
PO-19 Students develop self-renewal and researcher skills in order to adapt to innovations and developing technology.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
It is organized in such a way that students focus on algorithmic and design issues related to robotic straight and inverse kinematics, velocity kinematics and robot dynamics, so that students can use their basic knowledge of computer engineering in different fields.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 An overview of robotics and its history. Lecture / Question - Answer, problem solving, presentation
2 Mathematical background Lecture / Question - Answer, problem solving, presentation
3 Kinematic Lecture / Question - Answer, problem solving, presentation
4 Inverse Kinematics Lecture / Question - Answer, problem solving, presentation
5 Speed Kinematics Lecture / Question - Answer, problem solving, presentation
6 Action Planning Lecture / Question - Answer, problem solving, presentation
7 Robot Dynamics Lecture / Question - Answer, problem solving, presentation
8 mid-term exam
9 Robot Dynamics Lecture / Question - Answer, problem solving, presentation
10 Robot Controlling Lecture / Question - Answer, problem solving, presentation
11 Mobile Robots Lecture / Question - Answer, problem solving, presentation
12 Overview of a basic robot system Lecture / Question - Answer, problem solving, presentation
13 Overview of a basic robot system Lecture / Question - Answer, problem solving, presentation
14 The future of the robotics field Lecture / Question - Answer, problem solving, presentation
15 The future of the robotics field Lecture / Question - Answer, problem solving, presentation
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Alonzo Kelly, Mobile Robotics: Mathematics, Models, and Methods, Cambridge University Press, 2013.
2 John J. Craig, Introduction to Robotics, Addison-Wesley Publishing, 1989.
3 Robot Programlama, Ahmet Ali Süzen, Kodlab.
4 Mark W. Spong, Seth Hutchinson, and M. Vidyasagar, Robot Modeling and Control, Wiley, 2006.
Required Course instruments and materials
Auxiliary textbook, projection, computer.

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 6 3 18
       b) Search in internet/Library 6 3 18
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 8 1 8
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 8 1 8
mid-term exam 1 1 1
Own study for final exam 8 1 8
final exam 1 1 1
0
0
Total work load; 90