Course holder: prof. dr. eng. Claudius DANTlaboratory holder: Prof. dr. eng. Claudius DAN Attendants are introduced to the software tools that are used to help IC designers master the complexity of today "System On Chip, SOC" projects. Course classes use a systematic method to present different problems that current design tools must solve. Topics include "Systematic IC Design Process", "Design [...]
Course holder: prof. dr. eng. Georg PELTZLaboratory holder: Prof. dr. eng. Georg PELTZ Introduction to the problems of automotive electronics in today industrial environment. Main automotive electronics applications, challenges and difficulties are presented. Students are acquainted with fundamental technological approaches: power electronics, microcontrollers, sensors and software. Many examples illustrate the concepts presented. Advanced topics like automatic control, automotive networks, electrical [...]
Course holder: prof. dr. eng. Mircea BODEATaboratory holder: Prof. dr. eng. Mircea BODEA Dedicated to systematic analysis of basic analog blocks commonly used in any IC: operational amplifier and voltage reference. Case studies include 2 stages, Miller compensated OpAmps and Band-gap voltage references implemented in typical submicron CMOS processes. Both blocks are developed based on a step-by-step approach by identifying [...]
Course holder: Conf. dr. eng. Alina SULTANATaboratory holder: Conf. dr. eng. Alina SULTANA The course has two major objectives:- to present a structured presentation of the main types of imaging methods available in literature: Radiography, Tomography, Nuclear Magnetic Resonance, Ultrasound and Nuclear Medicine;- to develop applications and implement solutions for computer-aided diagnosis using advanced Computer Vision techniques and networks [...]
Course holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂLaboratory holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂ The discipline aims to familiarize students with applications that integrate new technologies in the process of therapy and rehabilitation: intelligent systems for the rehabilitation of cardiac function, intelligent systems for the rehabilitation of motor function, intelligent systems in the rehabilitation of hearing function, intelligent systems for the rehabilitation of respiratory function.
Course holder: Ș.l. dr. eng. Elena OVREIUTaboratory holder: Ș.l. dr. eng. Elena OVREIU The course will address innovation in digital health.Innovation is a process that can be learned, practiced and perfected. The course will familiarize students with the principles of innovation in health and the steps of this innovation process that starts from a need, continues with the analysis of that need (impact on [...]
Course holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂLaboratory holder: Conf. dr. eng. Dragoș-Daniel ȚARĂLUNGĂ The discipline aims to present in detail the mobile devices (smart wearable sensors, mobile acquisition systems, mobile terminals) that are used in various medical applications: remote rehabilitation, (remote) monitoring of vital parameters, remote diagnosis, internet of things in health, monitoring compliance with a drug treatment, etc. [...]
Course holder: Ș.l. dr. eng. Elena OVREIUTaboratory holder: Ș.l. dr. eng. Elena OVREIU The course will be structured as follows:- Lecture: technical part (wearables and sensors for remote and continuous patient monitoring, medical data collection, mobile apps for health, mobile apps for personalized medicine, prevention)- Use cases (hands-on & panel discussions) held with experts from the industry [...]
Course holder: Conf. dr. eng. Bogdan Cristian FLOREATaboratory holder: Conf. dr. eng. Bogdan Cristian FLOREA The course addresses the concept of Big Data in medical applications (e.g. electronic patient records, medical data transfer in telemedicine systems etc., medical databases for clinical trials), supported by blockchain technology currently used for the development of distributed applications. In the lab [...]
Course holder: prof. dr. eng. Bogdan IONESCUTaboratory holder: Prof. dr. eng. Bogdan IONESCU The course aims to familiarize students with the concept of machine learning applied to biomedical problems. General introduction of the concept and existing paradigms, concrete medical applications and available software utilities. Explanation of processing techniques and representation of input data, related content descriptors, normalization [...]