Course Description / Curriculum

This course is designed as an undergraduate course.
The aim of the course is to provide students with a comprehensive understanding of mechatronic systems — the synergistic integration of mechanical, electrical, electronic, and computer engineering for the design and control of intelligent systems and products.
This course enables students to understand the fundamental principles of system modelling, sensors and actuators, signal conditioning, microcontroller-based control, and system interfacing. It emphasizes how mechanical structures, electronic hardware, and control software interact to form complete mechatronic systems.
Topics covered include: Introduction to Mechatronics and System Design, Overview of Sensors and Transducers, Actuators and Drive Systems, Data Acquisition and Signal Processing, Microcontrollers and Embedded Systems, Control Logic and Feedback Mechanisms, and Case Studies of Mechatronic Applications in Industry.

In this part the types of differential equations(Linear 1st order separable, homogeneous ordinary differential equations(ODE), non-homogeneous ODE, exact D.E and non-exact D.E) are presented with their characteristics and solutions
This part shows the solution techniques for special types of D. E like Bernoulli equation
This part is dedicated to Laplace transform, most common theories of Laplace transform along with most common transformations, Laplace inverse and the application of Laplace transform in solving different types of D.E

This course is designed as an undergraduate course.
The aim of the course is to provide students with a thorough understanding of the principles governing the motion of bodies under the action of forces. It builds upon the concepts of statics and extends them to analyse dynamic systems involving particles and rigid bodies in motion.
This course enables students to understand and apply the fundamental laws of motion, kinematics, and kinetics for both linear and rotational systems. Students will learn to model and solve problems related to velocity, acceleration, work and energy, impulse and momentum, and vibrations in mechanical systems.
Topics covered include: Kinematics of Particles and Rigid Bodies, Newton’s Laws of Motion, Work–Energy Principle, Impulse–Momentum Principle, Plane Motion of Rigid Bodies, Systems of Particles, and Introduction to Mechanical Vibrations.

This course lets the students to understand the following topics:
Introduction to control engineering , steady state error analysis, root locus and design based , frequency response analysis , bode plots , gain margin and phase margin , polar plots and margins , Nyquist stability criterion , canonical realizations , structural properties of dynamical systems , linear state feedback , observe design , pole placement , Bass-Gura formula , Ackermann formula , Lyapunov stability analysis .

Instrumentation can be looked upon as the art of measurement and/or control of physical quantities, such as: Temperature, level, pressure, viscosity and flow. Instrumentation is required by the industry and other fields of life for control and improvement of: safety; productivity, man-machine communication; and quality control. In order to design and build a successful instrument four aspects are usually required these are:

1. Transducers, 2. Sensors, 3. Signal Processing systems, and 4. Actuators

Students learn functionality of sensor, which are the detection of: the presence of energy; the changes in energy; or the transfer of energy. Typically, in industries, sensors convert a recognized signal into an electrical – analogue or digital – output that is readable.
The course also concentrates on the Transducer in comparison to sensors. Transducer is defined as a substance or a device that converts (or transfers) an input energy into a different output energy. Because of this broad definition, transducers come in many varieties converting many different types of energy. Following are different types of transducers. Different types of transducer are discussed in some details: electromechanical; photoelectric; and thermoelectric, as well as other types.
The course covers three categories of actuators which are: Electric, Mechanical, and Thermal actuators. Signal processing will be touched upon lightly during this course as this subject is discussed in detail in separate dedicated course

This course is designed as an undergraduate course.
The aim of the course is to equip students with the fundamental principles and analytical skills required for the design, analysis, and selection of mechanical transmission elements used in power transmission systems.
The course enables students to understand the concepts of motion and power transmission between machine components, including shafts, couplings, bearings, belts, chains, gears, and clutches. Emphasis is placed on design considerations such as strength, durability, efficiency, and manufacturability of transmission elements under various loading conditions.
Topics covered include: Introduction to Power Transmission Systems, Design of Shafts and Keys, Flexible Drives (Belt and Chain Drives), Gear Design and Selection (Spur, Helical, Bevel, and Worm Gears), Bearing and Coupling Design, Clutches and Brakes, and System Balancing and Alignment.

1. Define research; explain and apply research terms; describe the research process and the principle activities, skills and ethics associated with the research process.
2. Explain the relationship between theory and research.
3. Describe and compare the major quantitative and qualitative research methods in mass communication research.
4. Propose a research study and justify the theory as well as the methodological decisions, including sampling and measurement.
5. Understand the importance of research ethics and integrate research ethics into the research process.
6. Be able to assess and critique a published journal article that uses one of the primary research methods in the field.

This course is designed as an undergraduate course.
The aim of the course is to introduce students to the fundamental concepts and computational techniques of the Finite Element Method (FEM) for analyzing and solving engineering problems involving complex geometries, boundary conditions, and material properties.
The course enables students to understand the mathematical formulation and numerical implementation of the finite element approach for structural, thermal, and dynamic systems. Emphasis is placed on discretization, element types, stiffness matrix formulation, boundary condition application, and solution interpretation.
Topics covered include: Introduction to Finite Element Method, Discretization of Structures, Shape Functions and Interpolation, Element Stiffness Matrices, Assembly and Boundary Conditions, Solution of Static and Dynamic Problems, and Error Analysis and Convergence.
Students will also be introduced to computer-based finite element software for modeling and analysis of practical engineering systems.

This course is designed as an undergraduate/early graduate course.
The aim of the course is to provide students with a rigorous understanding of screw theory as a mathematical framework for representing and analyzing motion and force in robotic mechanisms. It serves as a bridge between linear algebra, rigid body mechanics, and robotic kinematics, offering a unified approach to describing spatial motion and transformations.
The course enables students to understand the geometric and algebraic foundations of screws, twists, and wrenches, and how these concepts are applied to analyze the motion of robotic manipulators, spatial mechanisms, and multi-body systems. Students will also learn how screw theory simplifies the formulation of velocity, acceleration, and force relationships in complex robotic structures.
Topics covered include: Introduction to Rigid Body Motion, Representation of Rotations and Translations, Plücker Coordinates, Screws, Twists, and Wrenches, Instantaneous Motion, Reciprocal Screws, Jacobian Formulation, and Applications of Screw Theory in Manipulator Kinematics and Dynamics.

This course is designed as an undergraduate course.
The aim of the course is to provide students with an in-depth understanding of advanced concepts in microprocessor and microcontroller architecture, programming, and interfacing, with a focus on their applications in embedded and mechatronic systems.
The course enables students to analyse and design systems based on modern microprocessors and microcontrollers through both hardware and software integration. It emphasizes instruction set architecture, memory organization, peripheral interfacing, interrupt handling, and real-time control.
Topics covered include: Review of Microprocessor Fundamentals, Advanced Microcontroller Architectures (ARM, PIC, AVR), Memory and I/O Interfacing, Serial and Parallel Communication Protocols (UART, SPI, I²C, CAN), Interrupt Systems and Timers, Embedded C Programming, Real-Time Applications, and Interfacing with Sensors and Actuators.
The theoretical lectures will be complemented by laboratory sessions involving assembly and high-level programming, circuit interfacing, and microcontroller-based system design, enabling students to implement and test advanced embedded control applications.

This course is designed as an undergraduate course.
The aim of the course is to introduce students to the principles, architecture, and applications of wireless sensor networks (WSNs) within robotic systems. The course focuses on how distributed sensing, wireless communication, and embedded intelligence enable coordination, perception, and control in autonomous and cooperative robots.
The course enables students to understand the structure and operation of wireless sensor networks, including sensor node design, communication protocols, network topology, energy management, and data aggregation. Students will learn how to integrate wireless sensor networks into robotic platforms to support environmental monitoring, navigation, localization, and swarm communication.
Topics covered include: Introduction to Wireless Sensor Networks, Network Architecture and Protocols, Energy-Efficient Communication, Localization and Synchronization, Data Fusion and Aggregation, Security in Sensor Networks, and Applications of WSNs in Robotics (Swarm Robotics, Environmental Sensing, and Cooperative Control).
The theoretical lectures will be reinforced through simulation and laboratory experiments, where students will design and implement simple wireless sensor networks for robotic systems, analyze communication performance, and test real-world applications of distributed sensing and control.

This course is designed as an undergraduate course.
The aim of the course is to provide students with an opportunity to explore emerging concepts, advanced technologies, and current research trends in the field of mechatronics. The specific content of the course may vary from semester to semester, reflecting the rapid evolution and interdisciplinary nature of modern mechatronic systems.
The course enables students to gain specialized knowledge and practical insight into selected topics that extend beyond the standard curriculum. These topics may include, but are not limited to, intelligent control systems, autonomous robotics, machine vision, human–machine interfaces, soft robotics, cyber–physical systems, and industrial automation.
Through seminars, case studies, and project-based learning, students will apply theoretical principles to real-world engineering challenges, conduct literature reviews, and develop prototypes or simulations that demonstrate the integration of mechanical, electronic, and computational subsystems.
The course encourages creativity, critical thinking, and innovation, preparing students to engage with cutting-edge developments in mechatronics and related disciplines.

This course is designed as an undergraduate course.
The aim of the course is to provide students with comprehensive knowledge of electronic systems and technologies used in modern vehicles, emphasizing the integration of sensors, actuators, control units, and communication networks for enhanced performance, safety, and efficiency.
The course enables students to understand the design, function, and operation of electronic control systems within automotive applications. It covers the role of microcontrollers, signal processing, and embedded systems in vehicle dynamics, powertrain control, emission management, and advanced driver-assistance systems (ADAS).
Topics covered include: Introduction to Automotive Electronics, Electronic Control Units (ECUs), Sensor and Actuator Technologies, Engine Management Systems, Transmission and Braking Electronics, Vehicle Networking (CAN, LIN, and FlexRay), Diagnostic Systems (OBD), and Emerging Trends such as Electric and Hybrid Vehicle Electronics.

What does a sustainable energy system look like? How might renewable energy provide a much more significant proportion of our energy needs in the coming decades? Which technologies and designs for the various renewable energy sources will help us decarbonize our energy systems and maintain a supply of affordable electricity and heat? In this module, you’ll explore these questions by systematically reviewing eight renewable energy technologies. You’ll develop your ability to apply this knowledge practically – especially for solar thermal, solar photovoltaic and wind.

This course is designed as an undergraduate course.
The aim of the course is to provide students with an in-depth understanding of the principles, components, and technologies that underpin electric vehicles (EVs). The course focuses on the electro-mechanical integration of propulsion systems, energy storage, power electronics, and control strategies essential for the design and operation of modern electric transportation systems.
The course enables students to comprehend the architecture of electric vehicles, the working of electric drives and power converters, and the characteristics of various energy storage systems such as batteries and supercapacitors. Emphasis is placed on system efficiency, regenerative braking, charging infrastructure, and vehicle dynamics.
Topics covered include: Introduction to Electric Vehicle Technology, Vehicle Architecture and Configurations, Electric Motors and Drives, Power Electronics for EV Applications, Battery Management Systems, Regenerative Braking, Charging Systems and Standards, Hybrid Electric Vehicles, and Future Trends in Sustainable Mobility.

This course introduces the student to the fundamentals of nanoscience and nanotechnology, the implication of fundamental science and how it changes along with the nanoscale and classification of nanostructured materials, nanoparticles, quantum dots, nanowires, ultrathin films, mono- and multi-layer materials. The length scale and its effect on the material properties (mechanical, electronic, optical, magnetic, and thermal characteristics), and the environmental preparation and methods used to manufacture nanoparticles including Bottom-up and Top-down synthesis. Students will have knowledge about Nano sensors, Nanoactuators, Nanodevices, Nanotechnology in energy conversion and storage, and their applications specifically in mechatronics engineering and generally in other engineering fields.

Yeryüzündeki diller ve dil aileleri, Türkçenin dünya dilleri arasındaki yeri, konuşma dili, yazı dili, Sesin tanımı, türleri ve sınıflandırılması, Türkçedeki sesler ve özellikleri, Türkçe sözlerin özellikleri, Türkçe sözlerdeki ses değişimleri, Türkçe sözlerin yapı özellikleri, Konuşmadaki uyum ve ritm, kurallı ve anlamlı cümle kurma teknikleri…

Yeryüzündeki diller ve dil aileleri, Türkçenin dünya dilleri arasındaki yeri, konuşma dili, yazı dili, Sesin tanımı, türleri ve sınıflandırılması, Türkçedeki sesler ve özellikleri, Türkçe sözlerin özellikleri, Türkçe sözlerdeki ses değişimleri, Türkçe sözlerin yapı özellikleri, Konuşmadaki uyum ve ritm, kurallı ve anlamlı cümle kurma teknikleri…

The underlying philosophy of total quality management; concepts and tools of total quality management and its relation with some advanced topics such as re-engineering and benchmarking, total quality management practices and experiences from a functional and general management perspective.

This course presents the basics of Economics and Management with reference to their application to International Relations and Diplomacy. Concepts of Economics, such as choice, scarcity, scale of preference, and fundamentals of Management, such as the key functions of management, the fourteen principles of management by Henri Fayol and so on will be covered.

It introduces students to the principles and applications of engineering statistics. Students will develop skills relevant for data analysis and visualization. They will learn the fundamentals of probability, reliability and error estimation.