The Bachelor of Science in Electrical Engineering (EE) degree requires a minimum of 128 credit minimum hours and a minimum cumulative grade point average (CGPA) of 2.00.

A cumulative GPA of 2.00 or higher in the EE courses taken to satisfy the EE Requirements is required to qualify for graduation with the EE degree.

  • Electrical Engineering (EE) Requirements (47 credit hours minimum):
    • Electrical Engineering Core (24 credit hours): EE 201, EE 202, EE 207, EE 208, EE 255, EE 270, EE 301, EE 302 and EE 311.
    • Electrical Engineering Seminars (1 credit hour): EE 200 and EE 400 (EE 200 is a 0 credit course).
    • Senior Design Requirement (3-4 credit hours): EE 402 or CE 477. A prerequisite for all Senior Design courses is completion of the Electrical Engineering Core Curriculum. Courses satisfying the Senior Design Requirement cannot also be used to satisfy the Electrical Engineering Laboratory Requirement below.
    • Advanced Electrical Engineering Selectives (9-11 credit hours): Choose three of the following: CE 362, EE 305, EE 321, EE 382, EE 438 and EE 440. Choose 4 if both EE 438 and EE 440 selected. CE 362, EE 438, and EE 440 also contribute to fulfillment of the Electrical Engineering Upper Level Laboratory Requirement described below.
    • Electrical Engineering Electives (7-10 credit hours): Additional Electrical Engineering courses to bring total Electrical Engineering credit hours to at least 47, including at least three (3) Upper-Level Laboratory courses as per the following conditions:
    • Electrical Engineering Laboratory Requirement: Three Electrical Engineering Upper-Level Laboratory courses or Electrical Engineering courses with laboratory components in addition to those required as part of the Electrical Engineering Core Curriculum (EE 207, EE 208 and EE 270).

      Courses with laboratory components taken as Advanced Electrical Engineering Electives, CE 362, EE 438 and EE 440, also contribute to this requirement.
  • General Engineering (7 credit hours):
    • Introduction to Engineering (4 credit hours): ENGR 131 (Transforming Ideas to Innovation I) & ENGR 132 (Transforming Ideas to Innovation II). Alternatively, the student may take ENGR 100 (First-Year Engineering Lectures) & ENGR 126 (Engineering Problem Solving and Computer Tools).
    • Engineering Breadth Requirement (3 credit hours): Choose one (1) course from the following: ENGR 200, ENGR 297, IE 335 or IE 336.
  • Mathematics Requirement (18 credit hours): MA 165, MA 166, MA 261, MA 265, MA 266.
  • Science Requirement (18 – 19 credit hours): CS 159, CHM 115, PHYS 172, PHYS 272 and one (1) of the Science Electives: BIOL 110, CHM 116, PHYS 322 or PHYS 342.
  • Liberal Arts Requirements (28 credit hours):
    • English Language and Communication Skills (10 credit hours): COM 114, ENGL 100 and ENGL 106.
    • General Education Requirement (18 credit hours): Students must satisfy the requirements of the General Education as per the following conditions:
      1. Courses must be drawn from the following General Education areas at AUM: Speech and Communication, English Language and Literature, History, Fine Arts, Physical Education, Self-Development and Life Style, Culinary Arts, Ethics, Social Sciences, Psychological Sciences, Natural Sciences, Child Development and Family Studies, Economics and Philosophy (please refer to Course Catalogue, General Education section).
      2. In order to ensure sufficient exposure to General Education topics, unless otherwise specified by the degree requirements of the academic major, the student cannot take more than 2 courses from the same area/sub-area as, as shown in the tables below:

        Area Maximum Courses to Take
        English Language and Literature 2
        History 2
        Physical Education 2
        Culinary Arts 2
        Ethics 2
        Psychological Sciences 2
        Natural Sciences 2
        Child Development and Family Studies 2
        Economics 2
        Philosophy 2
        Area Sub-Area Maximum Courses to Take
        Fine Arts Arts and Design 2
        Theatre 2
        Music 2
        Fashion and Apparel Design 2
        Photography and Media 2
        Self-Development and Life Style       Academic and Career Skills Development 2
        Character and Leadership Skills Development 2
        Life Management Development 2
        Development of Thinking Skills 2
        Technology and Innovation 2


      4. Courses that are already required under categories other than General Education requirement:
        1. cannot be considered as a General Education course.
        2. do not count towards the 2-course limit in General Education requirement.
    • Complementary Electives (up to 13 credit hours): Additional courses to bring the total to at least 128 credit hours. These courses should be selected to enhance the student’s academic program. These courses may include Electrical Engineering courses beyond those required to complete the Electrical Engineering Requirements or additional Mathematics, Science, Engineering, and Liberal Arts courses (Dean’s approval required).
IE 335 - Operations Research - Optimization

Introduction to deterministic optimization modeling and algorithms in operations research. Emphasis on formulation and solution of linear programs, networks flows, and integer programs.

IE 336 - Operations Research - Stochastic Models

Introduction to probabilistic models in operations research. Emphasis on Markov chains, Poisson processes, and their application to queuing systems.

EE 201 - Linear Circuit Analysis I

Volt-ampere characteristics for circuit elements; independent and dependent sources; Kirchhoff’s laws and circuit equations. Source transformations; Thevenin’s and Norton’s theorems; superposition, step response of 1st order (RC, RL) and 2nd order (RLC) circuits. Phasor analysis, impedance calculations, and computation of sinusoidal steady state responses. Instantaneous and average power, complex power, power factor correction, and maximum power transfer. Instantaneous and average power.

ENGR 131 - Transforming Ideas to Innovation I

Introduces students to the engineering professions using multidisciplinary, societally relevant content. Developing engineering approaches to systems, generating and exploring creative ideas, and use of quantitative methods to support design decisions. Explicit model-development activities (engineering eliciting activities, or EEAs) engage students in innovative thinking across the engineering disciplines at AUM. Experiencing the process of design and analysis in engineering including how to work effectively in teams. Developing skills in project management, engineering fundamentals, oral and graphical communication, logical thinking, and modern engineering tools (e.g., Excel and MATLAB).

ENGR 132 - Transforming Ideas to Innovation II

Continues building on the foundation developed in ENGR 131. Students take a more in depth and holistic approach to integrating multiple disciplines perspectives while constructing innovative engineering solutions to open-ended problems. Extending skills in project management engineering fundamentals, oral and graphical communication, logical thinking, team work, and modern engineering tools (e.g., Excel and MATLAB).

ENGR 100 - First-Year Engineering Lectures

An introduction to the engineering profession.

ENGR 126 - Engineering Problem Solving and Computer Tools

Introduction to the solving of open-ended engineering problems and the use and of computer software, including UNIXTM, computer communications, spreadsheets, and MATLAB. Explicit model-development activities are utilized, and students are expected to develop skill at working in teams. This is emphasized both in laboratories and on projects.

MA 165 - Analytic Geometry and Calculus I

Introduction to differential and integral calculus of one variable, with applications. Conic sections.

MA 166 - Analytic Geometry and Calculus II

Continuation of MA 165. Vectors in two and three dimensions. Techniques of integration, infinite series, polar coordinates, surfaces in three dimensions.

MA 261 - Multivariate Calculus

Planes, lines, and curves in three dimensions. Differential calculus of several variables; multiple integrals. Introduction to vector calculus.

MA 265 - Linear Algebra

Introduction to linear algebra. Systems of linear equations, matrix algebra, vector spaces, determinants, eigenvalues and eigenvectors, diagonalization of matrices, applications.

MA 266 - Ordinary Differential Equations

First order equations, second and nth order linear equations, series solutions, solution by Laplace transform, systems of linear equations. It is preferable but not required to take MA 265 either first or concurrently.

CHM 115 - General Chemistry I

Stoichiometry; atomic structure; periodic properties; ionic and covalent bonding; molecular geometry; gases, liquids, and solids; crystal structure; thermochemistry; descriptive chemistry of metals and non-metals.

CS 159 - Programming Applications for Engineers

Fundamental principles, concepts, and methods of programming (C and MATLAB), with emphasis on applications in the physical sciences and engineering. Basic problem solving and programming techniques; fundamental algorithms and data structures; and use of programming logic in solving engineering problems. Students are expected to complete assignments in a collaborative learning environment.

PHYS 172 - Modern Mechanics

Introductory calculus-based physics course using fundamental interactions between atoms to describe Newtonian mechanics, conservation laws, energy quantization, entropy, the kinetic theory of gases, and related topics in mechanics and thermodynamics. Emphasis is on using only a few fundamental principles to describe physical phenomena extending from nuclei to galaxies. 3-D graphical simulations and numerical problem solving by computer are employed by the student from the very beginning.

PHYS 241 - Electricity and Optics

Electrostatics, current electricity, electromagnetism, magnetic properties of matter. Electromagnetic waves, geometrical and physical optics.

ENGL 100 / ENL 100 - English for Academic Studies

This course is designed to support students in their transition from sheltered English language instruction to content-rich University and university courses. It is based on a widely-used process approach to writing, which demands considerable reading, writing and interaction among students. All writings and discussions are done in English in order to maximize opportunities for developing fluency in both formal and informal uses of the language in academic settings.

ENGL 106 - First-Year Composition

Extensive practice in writing clear and effective prose. Instruction in organization, audience, style, and research-based writing.

COM 114 / ENL 120 - Fundamentals of Speech Communication

This course will use small groups and large-group instructions to teach the basic concepts of oral communication in informal, semi-formal and formal contexts. The overall goal is to create a learning environment that encourages students to make clear connections between professional and “real world” communication in addition to providing an opportunity for students to play an active role in their learning process.

CE 362 - Microprocessor Systems and Interfacing

An introduction to basic computer organization, microprocessor instruction sets, assembly language programming, and microcontroller peripherals.

CE 477 - Digital Systems Senior Project

A structured approach to the development and integration of embedded microcontroller hardware and software that provides senior-level students with significant design experience applying microcontrollers to a wide range of embedded systems (e.g., instrumentation, process control, telecommunications, and intelligent devices). The primary objective is to provide practical experience developing integrated hardware and software for embedded microcontroller systems in an environment that models one which students will most likely encounter in industry. Student can also work a challenging open ended computer engineering project that draws on previous coursework to provide them with practical experience developing integrated hardware and software projects. This is a continuation of CE/EE 400. Graduation Projects Guidelines at the College of Engineering and Technology apply.

ENGR 297 - Basic Mechanics I (Statics)

Statics of particles. Rigid bodies: equivalent systems of forces, equilibrium. Centroids and centers of gravity. Static analysis of trusses, frames, and machines. Friction. Area moments of inertia.

PHYS 272 - Electric and Magnetic Interactions

Calculus-based physics course using concepts of electric and magnetic fields and an atomic description of matter to describe polarization, fields produced by charge distributions, potential, electrical circuits, magnetic forces, induction, and related topics, leading to Maxwell’s equations and electromagnetic radiation and an introduction to waves and interference. 3-D graphical simulations and numerical problem solving by computer are employed throughout.

BIOL 110 - Fundamentals of Biology I

This course is designed primarily to provide an introduction to the principles of biology for students. Principles of biology, focusing on diversity, ecology, evolution, and the development, structure, and function of organisms.

CHM 116 - General Chemistry II

A continuation of CHM 115. Solutions; quantitative equilibria in aqueous solution; introductory thermodynamics; oxidation-reduction and electrochemistry; chemical kinetics; qualitative analysis; further descriptive chemistry of metals and nonmetals.

PHYS 322 - Intermediate Optics

Wave optics and properties of light, including reflection, refraction interference. Fraunhofer and Fresnel diffraction dispersion, polarization, double refraction, introduction to lasers and holography.

PHYS 342 - Modern Physics

A survey of basic concepts and phenomena in atomic, nuclear, and solid-state physics.

EE 202 – Linear Circuit Analysis II

Continuation of EE 201. Use of Laplace Transform techniques to analyze linear circuits with and without initial conditions. Characterization of circuits based upon impedance, admittance, and transfer function parameters. Determination of frequency response via analysis of poles and zeros in the complex plane. Relationship between the transfer function and the impulse response of a circuit. Use of continuous time convolution to determine time domain responses. Properties and practical uses of resonant circuits and transformers. Input – output characterization of a circuit as a two-port. Low and high-pass filter design.

EE 202 – Linear Circuit Analysis II

Continuation of EE 201. Use of Laplace Transform techniques to analyze linear circuits with and without initial conditions. Characterization of circuits based upon impedance, admittance, and transfer function parameters. Determination of frequency response via analysis of poles and zeros in the complex plane. Relationship between the transfer function and the impulse response of a circuit. Use of continuous time convolution to determine time domain responses. Properties and practical uses of resonant circuits and transformers. Input – output characterization of a circuit as a two-port. Low and high-pass filter design.

EE 207 – Electronic Measurement Techniques

Experimental exercises in the use of laboratory instruments. Voltage, current, impedance, frequency, and wave form measurements. Frequency and transient response. Elements of circuit modeling and design.

EE 208 – Electronic Devices and Design Laboratory

Laboratory experiments in the measurement of electronic device characteristics. Design of biasing networks, small signal amplifiers, and switching circuits.

EE 255 – Introduction to Electronic Analysis and Design

Diode, bipolar transistor, and FET circuit models for the design and analysis of electronic circuits. Single and multistage analysis and design; introduction to digital circuits. Computer-aided design calculations, amplifier operating point design, and frequency response of single and multistage amplifiers. High-frequency and low-frequency designs are emphasized

EE 270 – Introduction to Digital System Design

An introduction to digital system design and hardware engineering, with an emphasis on practical design techniques and circuit implementation.

EE 301 – Signals and Systems

Classification, analysis and design of systems in both the time- and frequency-domains. Continuous-time linear systems: Fourier Series, Fourier Transform, bilateral Laplace Transform. Discrete-time linear systems: difference equations, Discrete-Time Fourier Transform, bilateral Z-Transform. Sampling, quantization, and discrete-time processing of continuous-time signals. Discrete-time nonlinear systems: median-type filters, threshold decomposition. System design examples such as the compact disc player and AM radio.

EE 302 – Probabilistic Methods in Electrical and Computer Engineering

An introductory treatment of probability theory, including distribution and density functions, moments, and random variables. Applications of normal and exponential distributions. Estimation of means, variances, correlation, and spectral density functions. Random processes and responses of linear systems to random inputs.

EE 311 – Electric and Magnetic Fields

Continued study of vector calculus, electrostatics, and magnetostatics, and Maxwell’s equations. Introduction to electromagnetic waves, transmission lines, and radiation from antennas.

EE 400 - Professional Development and Career Guidance

A lecture-demonstration series emphasizing evaluation of career options, identification and development of professional skills, and introducing students to the formal design process of an electrical engineering project. Examples of career-related topics include choosing a job, and post-graduate education in engineering or other disciplines. Examples of professional skill topics covered include interviewing, writing, intellectual property and ethics. The students will be also required to plan, refine and design a project. This course is considered as Phase One of the Graduation Project. Graduation Projects Guidelines at the College of Engineering and Technology apply.

EE 200 - Electrical and Computer Engineering Seminar

An introduction to the Electrical and Computer Engineering, EE program objectives and outcomes, BSEE degree requirements, and professional development.

EE 402 - Electrical Engineering Design Projects

Lecture sessions provide the student with background information on the design and management of projects. Formal lectures cover, for example, design for manufacturability, design for quality, test and evaluation, reliability and ethics, patents and copyrights, plus case studies. During the laboratory sessions, the students work in teams on a challenging open-ended electrical engineering project that draws on previous coursework. Projects routinely involve standard design and implementation facets (such as consideration of alternative solutions, feasibility considerations, and detailed system descriptions) and include a number of realistic constraints (such as cost, safety, reliability, and aesthetics). This is a continuation of EE/CE 400. Graduation Projects Guidelines at the College of Engineering and Technology apply.

EE 305 - Semiconductor Devices

Introduces and explains terminology, models, properties, and concepts associated with semiconductor devices. Provides detailed insight into the internal workings of the “building-block” device structures such as the pn-junction diode, Schottky diode, BJT, and MOSFET. Presents information about a wide variety of other devices including solar cells, LEDs, HBTs, and modern field-effect devices. Systematically develops the analytical tools needed to solve practical device problems.

EE 321 - Electromechanical Motion Devices

The general theory of electromechanical motion devices relating electric variables and electromagnetic forces. The basic concepts and operational behavior of DC, induction, brushless DC, and stepper motors used in control applications are presented.

EE 382 - Feedback System Analysis and Design

Classical concepts of feedback system analysis and associated compensation techniques are presented. In particular, the root locus, Bode diagram, and Nyquist criterion are used as determinants of stability.

EE 438 - Digital Signal Processing with Applications

The course is presented in five units. Foundations: the review of continuous-time and discrete-time signals and spectral analysis; design of finite impulse response and infinite impulse response digital filters; processing of random signals. Speech processing; vocal tract models and characteristics of the speech waveform; short-time spectral analysis and synthesis; linear predictive coding. Image processing: two-dimensional signals, systems and spectral analysis; image enhancement; image coding; and image reconstruction. The laboratory experiments are closely coordinated with each unit. Throughout the course, the integration of digital signal processing concepts in a design environment is emphasized.

EE 440 - Transmission of Information

Analysis and design of analog and digital communication systems. Emphasis on engineering applications of theory to communication system design. The laboratory introduces the use of advanced engineering workstations in the design and testing of communication systems.

ENGR 200 - Thermodynamics I

First and second laws of thermodynamics, entropy, reversible and irreversible processes, properties of pure substances. Application to engineering problems.