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Undergraduate Programs
Home / Undergraduate Programs / Courses / Analog Integrated Circuits

ECE 450

Analog Integrated Circuits

Fall
Required Course:
No

Course Level

Undergraduate

Units

3

Instructor(s)

Janet Roveda, Professor
David Cox, Lecturer

Prerequisite(s)

Advanced Standing: Engineering. Major: ECE. ECE 351C.

Schedule

Three 50-minute lectures per week, MWF 01:00 PM - 01:50 PM.

Course Description

Specific Course Information:
2021-2022 Catalog Data: 
Nonswitching aspects of analog integrated circuits using bipolar or CMOS technologies.  Biasing, DC signal behavior, small behavior. Emphasis on the use of physical reasoning, identification of circuit functions, and use of suitable approximations to facilitate understanding and analysis.

Learning Outcomes

Specific Goals for the Course:
Outcomes of Instruction:
By the end of this course the student will be able to:

  1. Design basic OpAmp.
  2. Design differential pairs
  3. Design current sources
  4. Investigate cascoded amplifiers
  5. Design high-frequency amplifiers and active load
  6. Design feedback loops
  7. Investigate stability issues in designs

Course Topics

Brief list of topics to be covered:

  • Cascode concept: cascode current source; Cascode amplifiers
    Cascode amplifiers with PMOS input; Cascode applications
  • Biasing
  • Current Mirrors
  • Differential pairs
  • Active load
  • Frequency response (basics)
  • Inspection method
  • Miller effect
  • High frequency circuit
  • CE and CS Freq response
  • Pole approximation
  • CB and CG Freq response
  • Emitter and source follower
  • Input and output impedances
  • Applications and examples of frequency response
  • Feedback concept
  • Feedback system
  • Feedback design
  • Feedback circuit

Relationship to Student Outcomes

ECE 450 contributes directly to the following specific electrical and computer engineering student outcomes of the ECE department:

1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Syllabus Prepared By

Syllabus updated on 3/29/2022
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Department of Electrical & Computer Engineering
1230 E. Speedway Blvd.
P.O. Box 210104
Tucson, AZ 85721-0104
520.621.6193

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