Medical Engineering
Engineering summer training is the thirty working days internship period in which the engineering students are expected to apply their theoretical knowledge, which they acquired during their undergraduate studies, in a professional environment. Summer training can be performed at any institution which is involved in any of the Electrical and Electronic Engineering, Bioengineering or Medicine subdisiplines. During the training, the engineering students encounter with the professional life tasks, so that they have a better chance to prepare themselves for the industries’ needs and decide on their exact field of professional interests. At the end of the thirty days of training, which is performed after the third year of the bachelor studies, the students write their summer training reports which summarize their internship experience
- Eğitimci: Pwadubashiyi PwavodI
This course aims to introduce the basics of digital design and embedded control systems. Students will have a sound knowledge on: design methods and the implementation of basic digital systems, microcontrollers, microcontroller architecture, assembly programming, and microcotroller peripherals. Student will have hands-on exercises in Lab. Projects related to microcontroller programming and interfacing. Introduction to computer systems, Boolean algebra, introduction to microcontroller, programming microcontroller using C, using sensors and other peripherals in microcontroler. MSP430 Instruction set, Addressing modes. Interrupt signals and routines. Interface circuits. Analog and Digital Peripherals programming: Digital I/Os, Timers, ADC and Communication Peripherals, Low power modes of operation
- Eğitimci: Benjamin Oguntoye
- Eğitimci: Pwadubashiyi PwavodI
The course will prepare the student to identify surgical instruments, distinguish their category, know their use, and name them. This course will give emphasis on the knowledge and recognition of medical instruments, as well as instrumentation and how they will help physicians. The course will cover topics, such as the identification of medical instruments, their categories, use, and inspection. There will be emphasizes on testing their quality, how they are set up, sealed, other instruments like the robotic and laser instruments, endoscopes, other complex instruments, how they are regulated.
Learning outcomes
1. To identify basic surgical instruments by category, name, and use;
2. To demonstrate the different methods used to test and inspect various types of surgical instrumentation.
3. To describe the use of surgical instrumentation.
4. To understand how instrument quality assurance testing are done.
5. To demonstrate the proper procedures for assembling instruments/procedure trays.
6. To differentiate between various categories of special instrumentation utilized in operating rooms.
7. To demonstrate inspection and testing of endoscopic and robotic instrumentation and how to select the appropriate packaging material for instrumentation sets and medical equipment.
8. To demonstrate how to check packaging materials for defects, cleanliness, and function.
9. To demonstrate how to sets in peel pouches, sterile wraps, and rigid pans are packed.
- Eğitimci: Ali Isin
- Eğitimci: Mehmet Micogullari
- Eğitimci: Pwadubashiyi PwavodI
The course has an overview of discrete time signals and systems. Sampling/Reconstruction principles both in time and frequency domains. The Z-Transform and its properties. Structure of discrete time systems; tapped delay or lattice etc. Digital filter designs. Realization of digital filters (FIR and IIR). The discrete Fourier and inverse Fourier transforms. The fast Fourier transform (FFT) and its analysis. Image acquisition, sampling and quantization. Image enhancement: Spatial and frequency domain techniques. Image restoration: Inverse, Wiener and mean filtering. Image compression: Compression models.
This course gives you an introduction to modeling methods and simulation
tools for a wide range for wide application in the medical industry. The different
methodologies that will be taught in the course are applied to wide
range of topics. This course does not intend to go deeply into any
numerical method or process and does not provide any recipe for the
resolution of a particular problem, rather we will discuss physical models and all that is required for making a model and simulating the model. The assignments of this course will be made as practical as possible in
order to allow the students actually create from scratch small models that
will solve simple problems. Although programming will be used
extensively in this course we do not require any advanced programming
experience in order to complete it.