Computer Engineering (CENG), Bachelor of Science
At Dunwoody College of Technology, the Computer Engineering bachelor's degree prepares students for careers that focus on the design, integration, and optimization of internet-connected devices (smart technologies). The degree prepares students for careers that focus on the intersection of electrical engineering, software engineering, and computer engineering. Job titles can range from computer engineer and electrical engineer to computer scientist and data scientist.
Students learn to how to use computer and embedded systems that monitor, collect, send, control, and store vast amounts of data in order to solve a variety of problems. The emphasis is not on designing the microprocessor chips themselves, but rather on how they're used in industry and other applications, such as in enterprise development, data-driven systems, and the integration of IT (information technology) and OT (operational technology).
Coursework includes study in electrical circuits, programming, digital and microprocessors systems, connected devices, embedded systems, and data science. Curriculum is project-integrated so that theoretical engineering principles are reinforced and experienced through hands-on creation and problem-solving.
Arts & Sciences courses help students understand the core mathematical and scientific principles that all engineering projects grow out of, as well as provide students with the communication and critical thinking skills required to succeed in the profession.
All students complete a senior project.
- An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- 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
- An ability to communicate effectively with a range of audiences
- An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
- An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
- An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
- An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
| Code | Title | Credits |
|---|---|---|
| General Education | ||
| ECON1000 | Introduction to Micro & Macro Economics | 3 |
| MATH1811 | Calculus I | 4 |
| MATH1821 | Calculus II | 4 |
| MATH2260 | Probability & Statistics | 4 |
| MATH2810 | Multi-Variable Calculus | 4 |
| MATH2820 | Linear Algebra & Differential Equations | 4 |
| MATH2830 | Discrete Math | 3 |
| SPCH1000 | Speech | 3 |
| WRIT2010 | Technical Writing | 3 |
| Humanities Elective | 3 | |
| Social Sciences Elective | 3 | |
| Technical Credits | ||
| CENG4100 | Computer Architecture | 4 |
| CENG4200 | Embedded Systems | 3 |
| CENG4300 | Computational Optimization in HW | 3 |
| CENG4150 | Senior Design Project | 2 |
| EENG1210 | Logic & Digital Design | 2 |
| EENG1220 | Logic & Digital Design Lab | 1 |
| EENG2111 | Circuit Fundamentals | 3 |
| EENG2120 | Circuit Fundamentals Lab | 1 |
| EENG2132 | Digital Systems | 3 |
| EENG2210 | Analog Circuits | 3 |
| EENG2220 | Analog Circuits Lab | 1 |
| EENG3131 | Signals & Systems | 3 |
| EENG3211 | Digital & Microprocessors Systems | 3 |
| EENG3220 | Digital & Microprocessors Systems lab | 1 |
| EENG3150 | Topics in Applied lnstrumentation | 3 |
| EENG3260 | Motors & Controls | 4 |
| EENG4231 | DSP & Filters | 3 |
| ENGR1110 | Introduction to Engineering | 3 |
| ENGR1210 | Introduction to Programming | 3 |
| ENGR1221 | Electrical Circuits & Automation w/ Lab | 4 |
| ENGR1230 | Networking, Data Security for Engr | 4 |
| ENGR3120 | Engineering Economics | 2 |
| ENGR4110 | Engineering Ethics & Safety | 2 |
| MENG1110 | Engineering Drawings & 3D Design | 4 |
| SENG1210 | Application Development I | 4 |
| SENG2240 | Connected Devices Development I | 3 |
| SENG3240 | Connected Device Development II | 3 |
| SENG3400 | Operating Systems | 3 |
| SENG4400 | Data Science & Machine Learning | 3 |
The following sample academic plan demonstrates how a student's schedule might look on a semester-by-semester basis, including elective courses. Your actual degree plan may differ from this sequence, depending on whether you start in the fall or spring semester, what transfer credits you may have (if any), and which General Education courses and electives you take and when you take them.
The sample academic plan is for informational purposes only. To determine your academic plan, please meet with an academic advisor.
| Freshman | ||
|---|---|---|
| Fall | Credits | |
| ENGR1210 | Introduction to Programming | 3 |
| ENGR1110 | Introduction to Engineering | 3 |
| MENG1110 | Engineering Drawings & 3D Design | 4 |
| EENG1210 | Logic & Digital Design | 2 |
| EENG1220 | Logic & Digital Design Lab | 1 |
| MATH1811 | Calculus I | 4 |
| Credits | 17 | |
| Spring | ||
| ENGR1221 | Electrical Circuits & Automation w/ Lab | 4 |
| SENG1210 | Application Development I | 4 |
| MATH1821 | Calculus II | 4 |
| PHYS1800 | Physics I with Lab | 4 |
| Credits | 16 | |
| Sophomore | ||
| Fall | ||
| ENGR1230 | Networking, Data Security for Engr | 4 |
| EENG2111 | Circuit Fundamentals | 3 |
| EENG2120 | Circuit Fundamentals Lab | 1 |
| PHYS1820 | Physics II with Lab | 4 |
| MATH2810 | Multi-Variable Calculus | 4 |
| Credits | 16 | |
| Spring | ||
| EENG2132 | Digital Systems | 3 |
| EENG2210 | Analog Circuits | 3 |
| EENG2220 | Analog Circuits Lab | 1 |
| MATH2820 | Linear Algebra & Differential Equations | 4 |
| MATH2830 | Discrete Math | 3 |
| SPCH1000 | Speech | 3 |
| Credits | 17 | |
| Junior | ||
| Fall | ||
| EENG3131 | Signals & Systems | 3 |
| SENG3400 | Operating Systems | 3 |
| SENG4400 | Data Science & Machine Learning | 3 |
| MATH2260 | Probability & Statistics | 4 |
| ECON1000 | Introduction to Micro & Macro Economics | 3 |
| Credits | 16 | |
| Spring | ||
| EENG3150 | Topics in Applied lnstrumentation | 3 |
| EENG3211 | Digital & Microprocessors Systems | 3 |
| EENG3220 | Digital & Microprocessors Systems lab | 1 |
| ENGR3120 | Engineering Economics | 2 |
| SENG2240 | Connected Devices Development I | 3 |
| WRIT2010 | Technical Writing | 3 |
| Credits | 15 | |
| Senior | ||
| Fall | ||
| CENG4100 | Computer Architecture | 4 |
| CENG4200 | Embedded Systems | 3 |
| SENG3240 | Connected Device Development II | 3 |
| Humanities Elective | 3 | |
| Social Sciences Elective | 3 | |
| Credits | 16 | |
| Spring | ||
| CENG4150 | Senior Design Project | 2 |
| CENG4300 | Computational Optimization in HW | 3 |
| EENG3260 | Motors & Controls | 4 |
| EENG4231 | DSP & Filters | 3 |
| ENGR4110 | Engineering Ethics & Safety | 2 |
| Credits | 14 | |
| Total Credits | 127 | |
CENG4100 | Computer Architecture | Lecture/Laboratory (4 Credits)
This course will cover the basics of computer architecture and organization. A variety of computer processor architectures will be analyzed and experimented with to evaluate each in terms of performance, power consumption, etc.
Prerequisite(s): EENG3211
CENG4150 | Senior Design Project | Capstone (2 Credits)
Senior Design Project to implement the learning gained from previous years of study. This course will vary based on the instructor and students' areas of interest.
CENG4200 | Embedded Systems | Lecture/Laboratory (3 Credits)
This course will cover the basics of designing, interfacing, configuring, and programming embedded systems. The course will utilize inexpensive, popular embedded systems, like Arduino, which are used by hobbyists, researchers, and in industry, to implement the techniques learned in class.
Prerequisite(s): EENG3211
CENG4300 | Computational Optimization in HW | Lecture/Laboratory (3 Credits)
This course will cover topics such as (but not limited to) techniques for speeding up hardware implementations, including system restructuring, algorithms, and hardware innovations. Students will learn the importance of code optimization trade offs for available hardware resources.
Prerequisite(s): SENG2220
EENG1210 | Logic & Digital Design | Lecture (2 Credits)
Introduction to logic gates and state machines. The foundations of number systems and binary logic are implemented using logic gates. Karnaugh maps are used to realize Boolean algebra, leading to combinational logic circuits. State machines such as flip-flops, counters, and registers are analyzed.
Corequisite(s): EENG1220
EENG1220 | Logic & Digital Design Lab | Laboratory (1 Credit)
Build logic circuits and state machines in a laboratory environment from scratch using components such as IC chips and breadboards. Measure inputs and outputs using oscilloscopes and logic analyzers. Explore potential uses and implementations for real world solutions. Model design with Hardware Description Language coding.
Corequisite(s): EENG1210
EENG2111 | Circuit Fundamentals | Lecture (3 Credits)
Examine transient and steady state conditions in complex circuits. Investigate power, power factor, and power transfer. Explore frequency using Fourier analysis, Bode plots, passive filters and transfer functions.
Prerequisite(s): ENGR1221
Corequisite(s): EENG2120
EENG2120 | Circuit Fundamentals Lab | Laboratory (1 Credit)
Prototype various circuits and determine values using electrical metrology tools and techniques. Compare expected behavior against measured responses.
Prerequisite(s): ENGR1221
Corequisite(s): EENG2111
EENG2132 | Digital Systems | Lecture/Laboratory (3 Credits)
Examine various systems through abstraction from the basic concepts of digital blocks. Use hardware description languages such as Verilog to design the digital systems. Work with memory and programmable logic devices and FPGAs to design and program reconfigurable systems.
Prerequisite(s): EENG1210
EENG2210 | Analog Circuits | Lecture (3 Credits)
Analysis of continuous variable systems. Discuss non-linear components such as diodes and transistors. Explore more advanced concepts and components including multi-transistor amplifiers and op-amps.
Prerequisite(s): EENG2110
Corequisite(s): EENG2220
EENG2220 | Analog Circuits Lab | Laboratory (1 Credit)
Design and construct circuits, focusing on prototyping and debugging, using common electrical engineering equipment and tools.
Prerequisite(s): EENG2120
Corequisite(s): EENG2210
EENG3131 | Signals & Systems | Lecture (3 Credits)
Introduction to the foundation of communications, signal processing and control theory. Analyze linear time invariant continuous and discrete systems and signal transformations, convolution, frequency spectra, Laplace transforms, Z transforms, and fast Fourier transforms.
Prerequisite(s): MATH2820
EENG3150 | Topics in Applied lnstrumentation | Lecture/Laboratory (3 Credits)
Introduction to various types of instrumentation and control schemas. Topics include pressure, temperature, level and flow detection and calculations. Lab activities include calibration, tuning and installation of various analog and smart equipment used in industry.
Prerequisite(s): EENG3110
EENG3211 | Digital & Microprocessors Systems | Lecture (3 Credits)
Investigate microprocessor and microcontroller operations. Explain registers, memory and I/O interfacing principles. Describe embedded systems and their applications in real world systems. Utilize microprocessor/microcontroller for embedded system Hardware/Software development.
Prerequisite(s): EENG2132
Corequisite(s): EENG3220
EENG3220 | Digital & Microprocessors Systems lab | Laboratory (1 Credit)
Implement embedded systems using different hardware platforms and different programming languages. Demonstrate the design considerations for systems ranging from basic to complex applications.
Prerequisite(s): EENG2132
EENG3260 | Motors & Controls | Lecture/Laboratory (4 Credits)
Examine the fundamentals of electrical motor control components, circuits and systems. Topics include electrical control symbols, power distribution, control transformers, solenoids and relays, motor starters, pilot devices, timers and sequencers, DC and AC motor principles, proximity sensors and troubleshooting.
Prerequisite(s): EENG3110
EENG4231 | DSP & Filters | Lecture (3 Credits)
Analyze Discrete-time signals and systems. Design and implement Digital Filters. Compute Signal Spectrum using FFT algorithms. Implement DSP solutions using industry standard solutions and design tools offered by companies such as Texas Instruments, and ON Semiconductor. Contrast DSP and Microprocessor solutions in meeting performance standards.
Prerequisite(s): EENG4110
ENGR1210 | Introduction to Programming | Lecture/Laboratory (3 Credits)
Examine and implement computational problem-solving strategies using computer languages to solve engineering problems. Develop algorithms and translate solutions into computer programs. Distinguish differences in programming languages and software tools with applicability to different types of problem solutions. Apply modular design and clear documentation for efficient problem solving.
ENGR1110 | Introduction to Engineering | Lecture (3 Credits)
Explore major topics in Engineering. Provides a pathway to success in the School of Engineering programs, including time management, industry software, study skills, teamwork skills, internship availability and career opportunities. This course must be taken at Dunwoody for the Industrial Engineering Technology Degree.
ENGR1221 | Electrical Circuits & Automation w/ Lab | Lecture/Laboratory (4 Credits)
Apply PLCs and electronic components to design and troubleshoot automated industrial equipment. Topics include AC and DC motors, programming, sensors, and basic circuit analysis techniques for design, analysis, and programming of control systems.
Prerequisite(s): MATH1821
ENGR1230 | Networking, Data Security for Engr | Lecture/Laboratory (4 Credits)
Explore data communications, cybersecurity, and Internet of Things (IoT) in a connected world. Explain computer networking concepts with data security in mind. Identify security concepts and security audit processes as well as career opportunities in connectivity/networking/security disciplines.
ENGR3120 | Engineering Economics | Lecture (2 Credits)
Economic analysis of engineering decisions under uncertainty. Concepts include time value of money, cash flow estimation, rate of return analysis, net present value estimation, and asset evaluation. Applications include comparing different project alternatives accounting for heterogeneity in cost, revenue, taxation, depreciation, inflation, and risk.
ENGR4110 | Engineering Ethics & Safety | Lecture (2 Credits)
Interpret the connection between personal morality, the role of engineers and engineering in society, and relationship to one's employer. Case studies involving conflicts within these roles are reviewed and evaluated. Interpret safety and accident information to develop a basic understanding of needed safety protocols in a variety of engineering environments.
MENG1110 | Engineering Drawings & 3D Design | Lecture/Laboratory (4 Credits)
Create 3D solid models and assemblies using SolidWorks. Interpret engineering prints; create detail and assembly drawings according to standards. Use freehand drawing as a graphical communication tool.
SENG1210 | Application Development I | Lecture/Laboratory (4 Credits)
Develop a base level of proficiency in Python and Java programming languages employing simple and moderately complex data structures and algorithms. A range of programming concepts will be covered, including classes, objects, primitives, inheritance, encapsulation, abstraction, polymorphism, and interfaces.
Prerequisite(s): ENGR1210
SENG3400 | Operating Systems | Lecture/Laboratory (3 Credits)
Analyze the purpose of operating systems. Topics include: elements of operating systems, memory and process management, interactions among major components of a computer system, the effects of computer architecture on operating systems, and an examination of how different operating systems (desktop, server, mobile, real-time) impact Software Design.
Prerequisite(s): SENG2220 Or BCSA3100
SENG4400 | Data Science & Machine Learning | Lecture/Laboratory (3 Credits)
Advanced topics in Data Analysis, Data Science, and Machine Learning. Analyze large datasets. Implement supervised and unsupervised learning.
Prerequisite(s): SENG2230
SENG2240 | Connected Devices Development I | Lecture/Laboratory (3 Credits)
Explore and implement Internet connected devices. Internet of Things (IoT) device design and implementation. Use the Raspberry Pi and a variety of sensors, actuators, networking, and programming techniques to create IoT devices. A knowledge of Python is required and prior programming experience.
Prerequisite(s): SENG1210
SENG3240 | Connected Device Development II | Lecture/Laboratory (3 Credits)
Advanced study of Internet connected devices. Design and implement applications and services for mobile and smart devices such as smartphones, smart displays, smart speakers. The Android architecture and operating system will be primarily used. Design challenges and opportunities in the mobile/smart device market. Students must have a strong background in application development, the software lifecyle/tooling, and Operating Systems.
Prerequisite(s): SENG3400
ECON1000 | Introduction to Micro & Macro Economics | Lecture (3 Credits)
Fundamental economic issues and theories are explored through discussion and research. Current events, policy perspectives, and case studies are used to process and apply economics to everyday life.
General Education: Social Sciences
MATH1811 | Calculus I | Lecture (4 Credits)
The fundamental tool used by engineers and scientists to determine critical measurements, such as maximums, minimums and allowable rates of change. Utilize multiple methods in the calculation and application of limits, derivatives, transcendental functions, implicit differentiation and related rates.
General Education: Mathematics
MATH1821 | Calculus II | Lecture (4 Credits)
The fundamental tool used by engineers and scientists to determine critical measurements such as the area under curves, the volumes within complex geometries, and for describing functions as an infinite series. Computer software enables the application of the definite integral, the fundamental theorem of calculus, applications of integration, and numerical methods of integration.
Prerequisite(s): MATH1811
General Education: Mathematics
MATH2260 | Probability & Statistics | Lecture (4 Credits)
Introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, hypothesis testing, confidence intervals, and linear regression.
Prerequisite(s): MATH1810, Or MATH1811, Or MATH1850
General Education: Mathematics
MATH2810 | Multi-Variable Calculus | Lecture (4 Credits)
Differentiate and integrate functions of two and three variables. Apply differentiation and integration techniques to physical sciences and engineering. Explore the theorems of Green and Stokes.
Prerequisite(s): MATH1820 Or MATH1821
General Education: Mathematics
MATH2820 | Linear Algebra & Differential Equations | Lecture (4 Credits)
Introduction to Linear Algebra, including vector spaces and linear mappings between such spaces. Explore solution methods for ordinary differential equations, qualitative techniques; includes matrix methods approach to systems of linear equations and series solutions.
Prerequisite(s): MATH1821 Or MATH1820
General Education: Mathematics
MATH2830 | Discrete Math | Lecture (3 Credits)
Examine a set of branches of math that all have in common the feature that they are “discrete” rather than “continuous”.
General Education: Mathematics
SPCH1000 | Speech | Lecture (3 Credits)
Introduction to public speech making; purpose and organization, audience analysis and response, verbal and non-verbal clues.
General Education: Communications
WRIT2010 | Technical Writing | Lecture (3 Credits)
Technical writing applications are studied for format, style, voice, and point of view; considered for purpose, audience, and subject. Critical thinking and developed expertise are employed to analyze, interpret, evaluate, summarize and generate various technical documents, individually and within teams.
General Education: Communications
School of Engineering Policies
General Applicability
While college faculty will provide you with information and advice, it is your responsibility to understand and comply with all policies and to complete satisfactorily all degree requirements within the allotted time frame. This includes the responsibility to track your completion of major, university and campus requirements, as well to comply with residence, minimum progress and scholarship requirements.
For details, you should refer to the college’s academic policies.
Please note that you are subject to current policies and regulations, regardless of your admission date.
Admission to Dunwoody School of Engineering
Your admission into the Dunwoody School of Engineering is also an admission into the engineering program you have selected. Your completion of this degree requires your compliance with stated degree requirements and academic good standing.
Applicability of Academic Plan
Normally the Academic Plan that you will follow is the plan year that you have entered under. However with program evolution we reserve the right to move you to a newer academic plan resulting from an evolution of the program. This change will not delay your graduation or cost you more than your original plan if you remain in academic good standing and take courses when offered.
In the event that you do not maintain continuous enrollment, your academic plan may be changed to your new admission date.
In the event of part time enrollment, academic plans will be valid for only 6 years.
School of Engineering Student Success Monitoring
The School of Engineering strives to motivate and empower students to complete courses of study leading to degrees in Electrical, Mechanical, Software Engineering and Industrial Engineering Technology. The program of study in each of these disciplines is cumulative in nature, that is, content is intended to build upon content learned in earlier semesters.
Student academic progress must consider the level to which students have successfully mastered earlier concepts in determining if a student is making adequate progress in their chosen field of study.
Students will be determined to be making adequate progress toward degree completion if they are following the recommended program of study and are achieving grades of C or better in all of their courses each semester.
A student who is following the recommended program of study who receives a grade of less than a C in any technical or School of Engineering course will be required to meet their Academic Coordinator to review their study skills and to develop a plan for enhanced Academic Achievement for the next semester. This grade of less than C may result in an adjustment of the next semester schedule to support needed prerequisites or remedial measures.
Any student who is following the recommended program of study who receives two or more grades of C or lower in technical or School of Engineering courses will be required to meet with their Academic Coordinator and the School of Engineering Dean to determine appropriate next steps.
Any student who is not following the program of study defined by the Academic Plan will be required to meet with the Academic Coordinator each semester to ensure that they are registered for the appropriate courses.
Because of the cumulative nature of the Engineering program courses, no more than two passing grades of less than C will be allowed to count toward graduation. The final design experience(s) in all programs must be completed with a grade of no less than C.