Map of distance site locations across the State of Ohio

Electrical and Computer Engineering

Program Prerequisites

  • Associate degree in electrical, mechanical, electro-mechanical, or similarly titled engineering technology program
  • The following courses or their equivalent:

ENG 215 Technical Writing
CSE 153 Introduction to C/C++ Programming
ENT 192 Circuit Analysis I
ENT 193 Circuit Analysis II
ENT 196 Electronics
ENT 271 Mechanics I – Statics
ENT 293 Digital Systems
ENT 294 Local area Networks
ENT 295 Microprocessor Technology I

Required Courses for BS Completion

ENT 298: Date Communications (3)

Prerequisite – CSE 153 C++ Programming. Introduction to data communications, computer networks, and media. Includes transmission basics, digital representations, data link concepts, and other networking issues. Networking data telecommunications project assigned as a significant part of the course requirement.

ENT 301: Dynamics (3)

Prerequisite- MTH 151 Calculus I, ENT 271 Statics. The basic concepts of force, mass, and acceleration; work and energy; and impulse and momentum are introduced and applied to problems involving particles and rigid bodies. Topics include displacement, velocity, and acceleration of a particle; relations between forces acting on a particle or rigid body; and the changes in motion produced.

ENT 303: Digital Signal Processing for Tech. (3)

Prerequisite – ENT 295, MTH 151 Calculus I, STA 301. Study of how digital signal processing is used in industry, including spectral analyzers, analog and digital filtering, Fourier series and transforms, data compression, image processing, and DSP hardware design issues.

ENT 311: Process Control Interface Design (3)

Prerequisite- CSE 153 C++ Programming, ENT 193 Circuit Analysis II, completion of associate degree or permission of instructor. An introduction to data acquisition and control with a graphical user interface (GUI). Topics include parallel, serial and network access. Data transfer technology such as Object Linking and Embedding and Dynamic Data Exchange are also covered.

ENT 316: Project Management (3)

Co-requisite-STA 301. Prerequisite: ECO201 or 202 Economics or permission of instructor A course of upper-level students in Engineering Technology. This course covers background, techniques, and case studies in project management particularly focused on engineering technology applications. The student will develop a fundamental understanding of the concepts for managing both small and large projects. Discussion, evaluation, and presentation skills will be enhanced. Some of the specific topics to be covered include: Gantt charts, PERT charts, projects life-cycle, budgeting, cost analysis, breakeven analysis, conflict resolution, organization tools, project planning, statistical process control, and other selected quality improvement tools. Microsoft Project and Microsoft Excel will be used as software tools throughout the course.

ECE 387: Embedded Microcontrollers (4)

Prerequisites - ENT 295, CSE 153 C++. Fundamentals of computer systems design. Interfacing and basics of embedded computers (microprocessors). Laboratory projects will require students to successfully design, implement, debug, and document computer solutions requiring a mix of hardware and software. Models and methodologies for designing systems containing hardware and software. Models and methodologies for designing systems containing both hardware and software components, or co-design, will be introduced. Substantial design projects will be required of each student.

ENT 401: Computerized Instrumentation (3)

Prerequisite-ENT 311, MTH 151 Calculus I. Overview of the requirements for the design of servo-mechanisms including stability, transfer functions, loop dynamics, and digital signal processing. Covers digital and analog signal conditioning, transducers, and controllers.

ENT 402: Industrial Automation (3)

Prerequisite- ENT 311. This course uses lab based experiences to investigate common electrical and mechanical instrumentation including hydraulic and pneumatic equipment, programmable logic controllers (PLC), microcontrollers, and industrial SQL databases.

ENT 403: Wireless Comm. & Networks (3)

Prerequisites – ENT 303. Fundamental techniques of wireless communication, signal transmission, encoding, propagation theory, cellular wireless networks, Wireless LANs, Wireless Access Protocol (WAP), Wi-Fi, Bluetooth and IEEE 802.15.4 ZigBee protocols, security in wireless networks.

ENT 418: Electromechanical Control Systems (3)

Prerequisite- ENT 301,401, MTH 251 Calculus II. This course covers advanced control topics including state variable models, higher order system response, transient response, and stability analysis.

ENT 497/498: Senior Design I and II (2,2)

Prerequisite- ENT 316 and Senior Standing or permission of instructor. Student teams conduct major open-ended research and design projects. Elements of the design process including establishment of objectives, synthesis, analysis, and evaluation are integral parts. Real-world constraints such as economical and societal factors, marketability, ergonomics, safety, aesthetics, and ethics are also integral parts. 497: feasibility studies performed. 498: implementation, testing, and production of design. Includes guest lecturers, team presentations, team building sessions, team meetings, and guided discussions relating to design. Continuous interaction with faculty and outside professionals.

STA 301: Statistics (3)

Prerequisite- MTH 151 Calculus I. A first course in applied statistics including an introduction to probability, the development of estimation and hypothesis testing, and a focus on statistical methods and applications. Includes introduction to probability of events, random variable, binomial and normal distributions, mathematical expectation, sampling distributions, estimation, and hypothesis testing. Statistical methods include one and two sample procedures for means and proportions, chi-square tests, analysis of variance, and linear regression.

MTH 231 Discrete Mathematics (3)

Prerequisite- MTH 151 Calculus I. Topics, techniques and terminology in discrete mathematics: logic, sets, proof by mathematical induction, matrix algebra, relations, counting, finite-state machines. Credit does not count toward a major in mathematics and statistics.