Graduate Courses





ECE 606

Solid State Devices



Course Objectives: In the last 50 years, solid state devices like transistors have evolved from an interesting laboratory experiment to a technology with applications in all aspects of modern life. Making transistors is a complex process that requires unprecedented collaboration among material scientists, solid state physicists, chemists, numerical analysts, and software professionals. And yet, as you will see in part 1 of this course (first 5 weeks), that the basics of current flow though solid state semiconductor devices can be understood by using some elementary concepts of quantum- and statistical-mechanics. In Part 2 (next 5 weeks), we will use this framework to analyze bipolar-transistors (Shockley, 1953). And in Part 3 (last 5 weeks), we will do the same for MOSFETs (Grove, 1967). Although much have changed in the last 30 years - transistors have gotten smaller, MEMS have become an important research area, and cross-disciplinary research in nano-bio-electronic systems is flourishing - yet the simple but powerful concepts that you will learn in this introductory course will still provide you the background and a reference point for all your future research work.



ECE 656

Electronic Transport in Semiconductors

Fall Semesters, Alternate Years















Course Objectives: The objective of the course is to develop a clear, physical understanding of charge carrier transport in bulk semiconductors and in small semiconductor devices. The emphasis is on transport physics and its consequences in a device context. The course does not focus on theory or computer simulation; it is a practical course for those interested in devices. The course is intended to be accessible to students with a general, introductory background in semiconductors, such as EE-606 at Purdue University. The specific course objectives are: 1) to develop a clear, physical understanding of charge and energy transport in bulk semiconductors and in small semiconductor devices and 2) to introduce commonly used transport-modeling approaches such as drift-diffusion, energy transport, Monte Carlo simulation, and quantum transport. The course consists of four parts. Part 1 focuses on ballistic transport both semiclassical and quantum. (In ballistic transport, scattering can be ignored.) Part 2 focuses traditional, low-field transport theory based on the Boltzmann Transport Equation. It treats drift-diffusion charge transport as well as thermoelectric effects (heat flow and temperature gradients) and galvanomagnetic effects (magnetic and electric fields). In Part 3, we examine high-field transport first in bulk semiconductors to explain phenomena such as velocity saturation and then in small devices where electric fields change rapidly and effects such as velocity overshoot arise.



ECE 695

Reliability Physics of Nanoelectronic Transistors

Spring Semester, Alternate Years










ECE 658

Course Objectives: This course will focus on the physics of reliability of small semiconductor devices. In traditional courses on device physics, we learn how to compute current through a device when a voltage is applied. However, as transistors are turned on and off trillions of times during the years of the operation, gradually defects accumulate within the device so that at some point the transistor does not work anymore. The course will explore the physics and mathematics regarding how and when things break a topic of great interest to semiconductor industry.




Principles of Electronic Nanobiosensors


Course Objectives: This course will provide an in-depth analysis of the origin of the extra-ordinary sensitivity, fundamental limits, and operating principles of modern nanobiosensors. The primary focus will be the physics of biomolecule detection in terms of three elementary concepts: response time, sensitivity, and selectivity. And, we will use potentiometric, amperometric, and cantilever-based mass sensors to illustrate the application of these concepts to specific sensor technologies. Students of this course will not learn how to fabricate a sensor, but will be able to decide what sensor to make, appreciate their design principles, interpret measured results, and spot emerging research trends.