Concentration in Computer Engineering within Bachelor of Science Degree in Electrical Engineering

Concentration in Computer Engineering within Bachelor of Science Degree in Electrical Engineering

Courses Transferrable from Other UMS Campuses to the University of Southern Maine

The following chart provides general guidance as to which courses offered at other University of Maine System campuses will be accepted as transferable into the Concentration in Computer Engineering within BS in Electrical Engineering undergraduate degree program at the University of Southern Maine.

As shown, links to course descriptions for all courses are provided. Additional courses beyond those listed may be acceptable for transfer as assessed by the appropriate course faculty on the campus to which the student is transferring.
Courses qualifying to fulfill General Education course requirements are handled on a campus-wide basis and are available through a separate information sheet.

An introduction to the use of digital computers for problem solving, employing the Java programming language as a

vehicle. Content includes elementary control structures and data representation methods provided by Java and the object-oriented programming methodology. Course requirements include a substantial number of programming projects. This course

must be taken concurrently with COS 170. Offered each semester.

Credits: 3.

The development of algorithms and their implementations in a higher-level programming language, with emphasis on

proper design principles and advanced programming concepts. Introduction to the performance analysis of algorithms. Course

requirements include substantial programming projects. Offered each semester.

Credits: 3.

Computational experiments will be designed to teach students how to construct reliable software using Java. Topics to be

covered include: Windows system, conditional program flow, iteration, procedures and functions, and symbolic debugging.

Offered each semester.

This course must be taken concurrently with COS 160.

Credits: 1.

Basic abstract data types and their representations, fundamental algorithms, and algorithm analysis. Consideration is given

to applications. Specific topics include linked structures, trees, searching and sorting, priority queues, graphs, and hashing.

Course requirements include a substantial programming component. Typically offered only in the fall semester.

Credits: 3.

A study of systems programming concepts and software, including the C programming language and the Unix programming

environment and operating system interface. Students develop their abilities in these areas through programming exercises and

projects. Typically offered only in the spring semester.

Credits: 3.

The first course in a three-semester sequence covering basic calculus of real variables, Calculus A introduces the concept of

limit and applies it to the definition of derivative and integral of a function of one variable. The rules of differentiation and

properties of the integral are emphasized, as well as applications of the derivative and integral. This course will usually include

an introduction to the transcendental functions and some use of a computer algebra system.

Prerequisite: successful completion of the University’s college readiness requirement in mathematics and two years of high school algebra plus geometry and trigonometry or MAT 140.

Credits: 4.

The second course in a three-semester sequence covering basic calculus of real variables, Calculus B usually includes

techniques of integration, indeterminate forms and L’Hopital’s Rule, improper integrals, infinite series, conic sections,

parametric equations, and polar coordinates.

Credits: 4.

The third course in a three-semester sequence covering basic calculus of real variables, Calculus C includes vectors, curves

and surfaces in space, multivariate calculus, and vector analysis.

Prerequisite: MAT 153.

Credits: 4.

A study of various methods for solving ordinary differential equations, including series methods and Laplace transforms.

The course also introduces systems of linear differential equations, Fourier series, and boundary value problems.

Prerequisite: MAT 252.

Credits: 4.

This course explores concepts and techniques of collecting and analyzing statistical data, examines some discrete and

continuous probability models, and introduces statistical inference, specifically, hypothesis testing and confidence interval

construction. Not for mathematics major credit.

Credits: 3.

A presentation of fundamental principles of chemical science. These principles will be presented in quantitative terms and illustrated by examples of their applications in laboratories and in ordinary non-laboratory experience. This course and CHY 114 (normally taken

concurrently) provide the basis for further study of chemistry.

Prerequisite: satisfaction of USM math minimum proficiency requirements.

Credits: 3.

Laboratory experiments to illustrate the principles that are presented in CHY 113 lectures. One recitation and two laboratory hours per

week.

Corequisite: CHY 113.

Credits: 1.

The first of a two-semester sequence introducing the fundamental concepts of physics, using calculus. Topics to be covered include

mechanics, waves, sound, and thermal physics. This course is recommended for students who plan further study in physical sciences,

mathematics, or engineering. It should be taken with PHY 114K, Introductory Physics Laboratory I. Three hours of lecture and one and one-half hours of recitation per week.

Credits: 4.

Experiments designed to illustrate the concepts studied in PHY 111K and PHY 121K.

Prerequisite: concurrent registration in PHY 111K or 121K. Two hours per week.

Credits: 1.

A continuation of PHY 121K, introducing the fundamental concepts of physics, using calculus. Topics to be covered include electricity, magnetism, and light. This course is recommended for students who plan further study in physical sciences, mathematics, or engineering. It should be taken concurrently with PHY 116, Introductory Physics Laboratory II. Three hours of lecture and one and one-half hours of recitation per week.

Credits: 4.

Experiments designed to illustrate the concepts studied in PHY 112 and PHY 123.

Credits: 1.

Engineers use mathematics and apply scientific principles to design, create, modify, and control physical systems. They communicate

effectively in both written and oral forms, and work in teams as well as alone. This course introduces students to the tools, tasks, and culture of engineering. Students use spreadsheets to solve problems and graph the results. Through class work, laboratory exercises, and independent research, students learn fundamental concepts of devices such as batteries and motors. The course culminates with a project in which student teams design, build, test, demonstrate, and document a device, utilizing the knowledge and skills acquired in the early part of the course. This course is not required for transfer students with more than 24 credits applied toward one of our engineering degree programs. Replaces EGN 100. Lecture 1 hr., Lab 3 hrs. (Fall, Spring.)

Credits: 3.

An examination of fundamental circuit laws and theorems, network analysis, physical properties and modeling of resistors, inductors, and capacitors, review of engineering standards applicable to circuits and components. Sinusoidal steady-state operation: phasors, and

impedance. Frequency domain analysis, transfer functions, poles and zeros, frequency response, and basic filtering. The course also covers the operation of meters, oscilloscopes, power supplies, and signal generators. Lecture 3 hrs., Lab. 2 hrs. (Fall)

Prerequisites: MAT 153, PHY 123.

Credits: 4.

Time-domain analysis of first- and second-order systems, based on electric circuits, but drawing analogy to mechanical, fluid, and thermal systems. AC power and polyphase circuits. magnetic coupling. Resonance, Bode plots, frequency response design. Study and application of the Laplace transform for the solution of differential equations governing dynamic systems. Principles of control, feedback, and stability. Lecture 3 hrs., Lab. 2 hrs. (Spring.)

Credits: 4.

Concepts and relationships between structure, composition, and thermal, optical, magnetic, electrical and mechanical properties of

technologically important materials. Replaces EGN 362 and ELE 262. Lecture 3 hrs., Lab 1 hr. (Fall.)

Prerequisites: PHY 123, MAT 153, CHY 113.

Credits: 3.
EGN 301 Junior Design Project and the Engineering Profession

The fundamental mission of engineering is design. Students, working in teams, learn the fundamentals of developing a specific problem statement, flowcharting, researching, project management, and design actualization, incorporating appropriate engineering standards and multiple realistic constraints. Professional issues such as ethics, intellectual property, interview skills, and resume preparation are explored. The student is challenged to consider the work of the engineer in the broader context of societal, personal, and professional responsibility. Lecture 3 hrs. (Spring.)

Credits: 3.

Introduction to making economic decisions, supply, demand and equilibrium in economics, ethical considerations and ethical dilemmas, Pareto efficiency, investment and cost analysis, time value of money, cash flow, the present value of a cash flow, rate of return of a project, cost-benefit study, breakeven analysis, evaluation of alternatives under budget constraint, sensitivity analysis of economic decisions with respect to changes in economic factors, expected value and economic decision-making under uncertainty, taxes, subsidies and rationing defender challenger problem and replacement analysis, inflation, computer-aided engineering economics using spreadsheets. This course is a requirement for engineering majors, and may also contribute to a Thematic Cluster. Lecture 3 hrs. (Spring, 2-yr rotation.)

Credits: 3.

Design and implementation of a device or system to perform an engineering function. May be done individually or in small groups, but the contribution is evaluated on an individual basis. Project outcomes include an oral presentation, a demonstration of the device or system, and a final report. The final report must contain a description of the engineering standards that were investigated and/or applied and how the realistic constraints were observed. (Fall, Spring, Summer.)

Credits: 3.

Introduction to the design of binary logic circuits. Combinatorial and sequential logic systems. Design with small and medium scale

integrated circuits and programmable logic devices (PLDs). Registers, counters, and random access memories (RAMs). The algorithmic state machine (ASM). Lecture 3 hrs., Lab. 2 hrs. (Spring.)

Credits: 4.

Operation, terminal characteristics and circuit models of p-n junction diodes, bipolar-junction and field-effect transistors. Nonlinear circuit analysis methods: piece-wise-linear, small-signal and SPICE. Biasing and bias stability. Rectifiers, clipper, clamper, Zener regulator circuits, and small signal BJT and FET amplifiers. Analysis, design, and SPICE simulation of such circuits. Replaces ELE 342. Lecture 3 hrs., Lab. 2 hrs. (Spring.)

Credits: 4

The organization of microprocessor-based computers and microcontrollers. Architecture and operation, flow of digital signals, timers,

memory systems. Assembly programming, instruction sets, formats and addressing modes. Input-output concepts: programmed I/O,

interrupts and serial communication. Microprocessor arithmetic. Laboratory experience programming an 8-bit microcontroller. Lecture 3 hrs., Lab. 2 hrs. (Spring, 2-yr rotation.)

Credits: 4

Introduction to the theory of linear signals and systems. Linear time-invariant system properties and representations; differential and

difference equations; convolution; Fourier analysis; Laplace and Z transforms. Selected topics in sampling, filter design, digital signal

processing, and modulation. Lecture 3 hrs., Lab 2 hrs. (Fall, 2-yr rotation.)

Credits: 4

Analysis and design of electronic circuits with BJTs, FETs and OpAmps for applications in signal generation, amplification, waveshaping, and power control. Topics include differential, multi-stage, linear and power amplifiers; real operational amplifiers and OpAmp applications; design for frequency response, active filters; feedback, stability and oscillators. Simulation and design verification with SPICE. Replaces ELE 343. Lecture 3 hrs., Lab. 2 hrs. (Fall, 2-yr rotation.)