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ECE 445

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Course Information
Course Title: Introduction to Solid State Devices
Credit Units: 3.0
Design Units: 0.5
Course Type: Elective
Prerequisite: ECE 340

Course Description:

Electric and magnetic properties of materials are examined with emphasis on engineering applications. Typical devices which are considered include ohmic and non-ohmic contacts, voltaic cells, PN junction devices, ferroelectric energy converters, ferrite devices and integrated circuits.

Textbook and/or Other Required Material:

Streetman B, and Banerjee S: Solid State Electronic Devices, Prentice Hall, 6th edition, 2005, ISBN: 013149726X

Course Objectives:

After completing this course the students should be able to:

  1. Have a comprehensible understanding of semiconductor materials, growth of semiconductor materials, atomic bonding, semiconductor energy band gap engineering, and electrical conduction in solids, energy density states and Fermi-Dirac distribution.
  2. Have a conceptual understanding of the characteristics of the semiconductor in thermal equilibrium and non-equilibrium conditions.
  3. Develop knowledge of device physics through the study of the p-n junction device electrical and fabrication parameters, transient effects, small signal modeling, etc.
  4. Have conceptual understanding of the physics of two and three terminal MOS devices and various electrical parameters, short channel effects, MOS technology.
  5. Gain knowledge of bipolar device physics, current gain factors versus emitter and base physical parameters, BJT modeling.
  6. Design semiconductor devices by modeling and fabrication in the microelectronics laboratory.

Topics Covered:

  • Semiconductor Material, Types of Solids, Space Lattice, Atomic Bonding
  • Imperfections and Impurities in solids, Growth of semiconductors
  • Allowed Forbidden Energy Bands, Electrical Conduction in solids, Energy density States
  • Fermi-Dirac Distribution, Charge carriers in semiconductors
  • Dopant atoms, Energy Levels and Fermi energy level
  • Intrinsic and Extrinsic Semiconductor
  • Statistics of Donors and Acceptors, Charge Neutrality
  • Carrier Transport Phenomena ( Mobility, Hall effect, drift and diffusion current density)
  • Graded impurity distribution
  • Built-in potential, electrical field and depletion width of p-n junction
  • Non-uniformly doped junctions
  • Boundary conditions and ideal p-n junction current
  • Small signal model of p-n junction
  • Generation and recombination current of p-n junction diode
  • Charge storage and diode transients
  • Physics of two/three terminal MOS device
  • C-V characteristics of MOSFET
  • Threshold voltage, Subthershold conduction, transconductance of MOSFET
  • Substrate bias effect of MOSFET
  • Channel length modulation and mobility variation of MOSFET
  • Short-channel and narrow-channel effects
  • Equivalent circuit model of MOSFET
  • Physics of Bipolar Junction Transistor
  • Minority carrier distribution of BJT
  • Non-ideal effects: base width modulation, High injection, current crowding and non-uniform base doping, etc.
  • Equivalent circuit model of BJT

Class/Laboratory Schedule:

  • 2 sessions per week, 75 minutes each

Contribution to Professional Component:

  • Engineering Sciences: 2.5
  • Engineering Design: 0.5

Relationship to Program Outcomes:

This course supports the achievement of the following program outcomes:

  1. An ability to apply knowledge of mathematics, science, and engineering to the analysis of electrical engineering problems.
  2. An ability to design and conduct scientific and engineering experiments, as well as to analyze and interpret data.
  3. An ability to design systems which include hardware and/or software components within realistic constraints such as cost, manufacturability, safety and environmental concerns.
  4. An ability to identify, formulate, and solve electrical engineering problems.
  5. An ability to use modern engineering techniques for analysis and design.
  6. Knowledge of probability and statistics.
  7. An ability to analyze and design complex devices and/or systems containing hardware and/or software components.
  8. Knowledge of mathematics including differential equations, linear algebra, complex variables and discrete math.

Prepared by:

Somnath Chattopadhyay, November 2005
Benjamin F. Mallard, November 2005
J. Michael Kabo, May 2007