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Undergraduate Catalog

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Core Requirements

Mathematical Sciences
Physical Sciences
Engineering Sciences
Professional Courses
Senior Technical Electives


An innovative program involving study at Moscow Institute of Electronic Technology may be available. Technical instruction will be in English. The plan of study requires two additional hours in foreign language and summer school work. Whether or not the program is offered in a particular summer depends upon the existing international situation, foreign exchange rates, air fares, and student participation. The summer study period usually occurs between the sophomore and junior years. Students interested in this option should contact the department chair.



1001 (1 hour)
Introduction to Electrical Engineering

Laboratory and field studies of various electrical engineering practices such as telecommunications, power generation and delivery, computer networks, and industrial plant control and manufacturing.

1011 (1 hour)
Computer Tools for Electrical Engineering

Practical experience in the use of computer tools for electrical engineering including word processing, spread sheets, schematic capture, circuit and math analysis, computer-aided design and project planning.

2001 (1 hour)
Basic Electrical Measurements Laboratory

Lecture and laboratory exercises in the principles and use of electrical instruments.
Corequisite: EE 2003.

2003 (3 hours)
Electric Circuit Analysis

Electrical circuit models. Natural and forced response due to DC AC and general excitation. Matrix formulation and solution of multiloop and multinode circuits using the Laplace transform.
Prerequisite: Phys 2063. Corequisite: Math 3073.

2063 (3 hours)
Introduction to Computer Organization and Microprocessors

Components of microprocessor-based computer systems flow of information and control. Instruction and data representation assembly language programming microprocessor interfacing.
Prerequisite: A first programming course.

2161 (1 hour)
Digital Design Lab

A digital logic laboratory to accompany EE 2163.
Corequisite: EE 2163.

2163 (3 hours)
Digital Systems Principles

Boolean algebra logic gates combinational network design flip-flops sequential networks synchronous and asynchronous systems.
Prerequisites: EE 2063 and sophomore standing.

3023 (3 hours)
Introduction to Electromagnetics

Maxwell's equations and fundamental concepts in electromagnetism in differential and integral vector form. Wave propagation in free space material media and on transmission lines. Basic concepts of static and quasistatic electric and magnetic fields and magnetic circuits.
Prerequisite: EE 2003.

3033 (3 hours)
Electric Power Systems

Electromechanical energy conversion direct and alternating current machinery basic power system concepts performance evaluation.
Prerequisite: EE 2003.

3113 (3 hours)
Signals and Linear Systems

Linear discrete-time and continuous-time systems models. Convolution impulse response functions frequency response. State variable methods. Fourier and Z-transform techniques.
Prerequisite: EE 2003.

3143 (3 hours)
Electronics I

Electronic device principles P-N junction diodes transistors fabrication techniques. Bipolar and FET transistor biasing. Small signal parametric models for the bipolar and FET transistors.
Prerequisite: EE 2003. Corequisite: ES 3063.

4041 (1 hour)
Electronics Lab

An electronics circuits design laboratory to accompany EE 4043.
Prerequisite: EE 3143. Corequisite: EE 4043.

4043 (3 hours)
Electronics II

Direct coupled amplifiers feedback principles operational amplifiers large signal models power amplifiers tuned amplifiers and oscillators.
Prerequisites: EE 3143. Corequisite: EE 4041.

4053 (3 hours)
Classical Control Theory and Applications

The design and analysis of feedback control systems system stability root locus Nyquist and Bode methods. Design of system compensation.
Prerequisite: EE 3113.

4073 (3 hours)
Information and Communication Systems

Information its meaning and quantification. Modulation and transmission of information classification and modeling of noise sources and their effects in communication systems. Introduction to the signal extraction problem.
Prerequisites: Math 3073 and (Stat 3813 or Stat 4413).

4103 (3 hours)
Electrical Engineering Design Project I

Student selects a project or topic for research and is assigned to a faculty advisor. An engineering report describing the project and proposing a plan of action must be submitted prior to completion of EE 4103.
Prerequisites: Senior standing in electrical engineering and permission of department chair.

4123 (3 hours)
Radio Frequency Engineering

CW and pulse response of transmission lines. Waveguide analysis and design. Antenna types and characteristics. Propagation of radio waves and transmission path analysis.
Prerequisite: EE 3023.

4133 (3 hours)
Power Systems Analysis

Principles of balanced and unbalanced polyphase AC power systems load flow component models and parameters.
Prerequisite: EE 3033.

4143 (3 hours)
VLSI Design

Hierarchical design methodology for very large scale integration of NMOS and CMOS. Physics of MOS devices. Design rules checking computer-aided design tools.
Prerequisites: EE 2163 and 4043.

4153 (3 hours)
Modern Control Systems

Analysis and design of analog and digital control systems. Nonlinear and discrete data systems concepts of controllability and observability state variable feedback compensation. Introduction to parameter identification adaptive and optimal control systems.
Prerequisite: EE 4053.

4203 (3 hours)
Electrical Engineering Design Project II

A continuation of EE 4103. The plan of action is executed and a final engineering report is submitted prior to completion of EE 4203.
Prerequisites: Senior standing in electrical engineering and permission of department chair.

4213 (3 hours)
Digital Signal Processing

Introduction to digital signal processing and digital filtering. Topics include sampled data systems modeling and analysis and digital filter design. Course material is applicable to a wide range of data processing applications.
Prerequisite: EE 3113 or permission of instructor.

4223 (3 hours)
Antennas

Maxwell's Equations. Ideal versus practical dipoles. Radiation patterns. Impedance of antennas. Arrays. Yagi Uda antennas. Aperture antennas. Pattern multiplication techniques. Image theory. Feeding techniques. Introduction to pattern synthesis. Scanning.
Prerequisite: EE 3023.

4253 (3 hours)
Digital Control Systems

The use of digital computers in the real time control of dynamic systems such as servo mechanisms chemical processes aircraft etc. Topics covered include sampling z-transforms digital filters computer-aided design design using transform techniques design using state variable techniques quantization and system identification.
Prerequisite: EE 4053 or permission of instructor.

4263 (3 hours)
Microprocessors in Digital Design

Detailed survey of major microprocessor families with emphasis on architectural development of the processor family; the microcomputer system (the microprocessor and its support chips); application of microprocessor systems to realistic engineering problems; the microprocessor as a system component; single chip complete systems; and large wordlength multi-chip systems.
Prerequisites: EE 2163 and either EE 2063 or CS 2033.

4323 (3 hours)
Electro-Optics

Fourier optics. White light processing. Integrated optics. Optoelectronic devices. Modulation and detection. Coherence. Holography photographic techniques. Low light and infrared applications. System design and trade-offs.
Prerequisite: EE 3023. Corequisite: EE 4073.

4353 (3 hours)
Robotics

Basic theories of robot mechanisms and their implications for engineers involved in analysis or design of robot manipulators. Kinematics dynamics and control aspects of designing robot arms. Spatial descriptions and transformations. Field trips to local industries to observe robotic systems in operation. Laboratory experiences using both open-loop and closed-loop robots.
Prerequisites: EE 4053 or senior standing and Corequisite EE 4053.

4413 (3 hours)
Introduction to Neural Networks

An introduction to artificial neural models learning algorithms implementation and applications. Associative memories supervised and reinforcement learning Adaptive Resonance Theory.
Prerequisites: EE 2003 and Math 3073.

4991-3 (1-3 hours)
Independent Study

Independent or group studies on special topics.
Prerequisite: Permission of department chair.


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