This course is the first part of the education in circuit design, analysis and testing. In the lecture, the students will learn to apply circuit analysis techniques to solve basic electrical networks and to propose electrical network solutions to engineering problems. In the technical skill training the student will learn about electrical measurement equipment and circuits development.

Aim of the course is to understand general modelling techniques of Lagrangian and Hamiltonian systems, to perform global analysis of properties of autonomous and non‐autonomous nonlinear dynamical systems including stability, limit cycles, oscillatory behavior and bifurcations and to acquire experience with the simulation of these systems.

Wireless Sensor Networks (WSNs) are composed of numerous (wireless) embedded sensor devices with the aim of sensing particular parameters. There are plenty of interesting applications for these networks such as healthcare, structural and environmental monitoring, disaster management, agriculture, urban supervision, and so on. Networking of such small embedded sensor devices differs from other networks from various aspects. Very stringent power constraints, computation limitations, and short range wireless connections of these devices acquire dedicated efficient networking protocols for WSNs to satisfy the application requirements.
 
In this course, prominent protocols, mechanisms, and services in various networking layers for WSNs are discussed. It includes applications, characteristics of the physical layer and typical sensor nodes, medium access control mechanisms, routing and data dissemination, and services such as synchronization and localization. Also several widely used standard protocols for low power wireless networking, such as IEEE 802.15.4, are discussed. Design, implementation, and simulation of WSNs is an important part of this course.  At the end of the course the students will 
1. have a broad knowledge about Wireless Sensor Networks (WSN), their applications, protocols in different networking layers, and services. 
2. have obtained sufficient skills to design, model, and implement a WSN for commercial or research aims.
3. be aware of the state of the art in various aspects of WSNs and challenging issues to be able to start conducting effective research in this field.

Welcome to 5CCA0 - Semiconductor Physics and Materials

Short course content:

Crystal Structure of Solids; Introduction to Quantum Mechanics;Introduction to quantum theory of solids: conductors, semiconductors and insulators; Semiconductors in equilibrium;

Carrier transport phenomena; Non‐equilibrium excess carriers in semiconductors; P‐n junction; P‐n junction diode; MOSFETs transistors physics and small‐signal modelling; CMOS technology process.