Intelligent Mechatronics (MECE404) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Intelligent Mechatronics MECE404 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Experiment, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To describe the role of intelligence in mechatronics analytically. This is achieved through a survey of the constituents of computationally intelligent approaches and the applications in mechatronics are exemplified. To let the students be aware of tools that are radically different from the conventional ones, to describe when/how and why we need intelligence and how we implement it.
Course Learning Outcomes The students who succeeded in this course;
  • The word “intelligence” implies autonomy, self-decision ability and cooperative behavior in its simplest description. Clearly, just like the interdisciplinary nature of mechatronics engineering, the intelligence is a paradigm that touches a broad range of disciplines and this emphasizes that a problem defined in one discipline can enjoy a technique utilized in another discipline. The course has therefore a strong emphasis on the synergy of disciplines.
Course Content Artificial neural networks (ANN), fuzzy logic (FL), genetic algorithms (GA); the use of ANN, FL and GA in control, estimation, planning, diagnosis, imaging, and heuristic search methods.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to Intelligence, Review of Matrix Algebra and Partial Derivatives N/A
2 Introduction to Artificial Neural Networks, Neuron Model N/A
3 Feed forward Neural Networks, Derivation of Error Back propagation (EBP) Training Algorithm, Improving the Convergence Properties of EBP, Second Order Training Schemes N/A
4 Radial Basis Function Neural Networks, Unsupervised Learning N/A
5 Computing with Words, Fuzzy Logic, Membership Functions N/A
6 Standard Fuzzy Systems (SFS), Adaptive Neuro-Fuzzy Inference Systems (ANFIS) N/A
7 Introduction to Genetic Computing, Encoding and Decoding, Operators: Mutation, Crossover, Offspring generation N/A
8 Applications, Identification of Dynamical Systems N/A
9 Control of Dynamical Systems N/A
10 Image Enhancement using Intelligent Systems N/A
11 Other Applications such as in finance, medicine, statistics etc. N/A
12 Project Work N/A
13 Project Work N/A
14 Project Work N/A
15 Project Work N/A
16 Final Examination N/A


Course Book 1. Neuro-Fuzzy and Soft Computing, J.-S. R. Jang, C.-T. Sun, and E. Mizutani, Prentice Hall, ISBN: 0-13-261066-3

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 10 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 40
Toplam 13 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Accumulated knowledge on mathematics, science and mechatronics engineering; an ability to apply the theoretical and applied knowledge of mathematics, science and mechatronics engineering to model and analyze mechatronics engineering problems. X
2 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems. X
3 An ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; an ability to apply contemporary design methodologies; an ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.) X
4 An ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; an ability to use information and communications technologies effectively. X
5 An ability to design experiments, perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies. X
6 An ability to work effectively on single disciplinary and multi-disciplinary teams; an ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines. X
7 An ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written.
8 An ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation.
9 Be conscious on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself.
10 A knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project.
11 Knowledge about the global, societal and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions.
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planing, improving or changing the norms with a criticism.
14 A competency on developing strategy, policy and application plans on the mechatronics engineering and evaluating the results in the context of qualitative processes.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 2 28
Laboratory 14 2 28
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project 14 4 56
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 152