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Computer Engineering BSCE / Computer Engineering MSCE

Major: Computer Engineering
Degree Awarded: Bachelor of Science in Computer Engineering (BSCE) and Master of Science in Computer Engineering
Calendar Type: Quarter
Total Credit Hours: 226.5
Co-op Options: Three Co-ops (Five years)
Classification of Instructional Programs (CIP) code: 14.0901
Standard Occupational Classification (SOC) code: 15-1132; 15-1133; 15-1143; 17-2031

About the Program

The BS/MS in Computer Engineering is an accelerated degree program that gives academically qualified ECE students the opportunity to receive two diplomas (BS and MS) at the same time in five years, graduating in the same time to earn the bachelor's degree alone. Students can still enjoy the benefits and rewards of the Drexel Co-op experience while gaining research experience by working with research faculty. Typical salaries for students with MS degrees are about 25% higher than those with BS degrees. An additional benefit of pursuing the BS/MS at Drexel's College of Engineering is the possibility of receiving a BS degree in one discipline and a MS degree in the same or related discipline.

Admission Requirements

Students must have a GPA of at least 3.30 and have taken 300/400-level coursework sufficient to demonstrate a readiness to take graduate coursework. Students are encouraged to review ECE course foundations to identify specific undergraduate courses needed to take the corresponding graduate course.

Degree Requirements

General Education/Liberal Studies Requirements
COOP 101	Career Management and Professional Development ^*	1.0
CIVC 101	Introduction to Civic Engagement	1.0
ENGL 101	Composition and Rhetoric I: Inquiry and Exploratory Research	3.0
or ENGL 111	English Composition I
ENGL 102	Composition and Rhetoric II: Advanced Research and Evidence-Based Writing	3.0
or ENGL 112	English Composition II
ENGL 103	Composition and Rhetoric III: Themes and Genres	3.0
or ENGL 113	English Composition III
PHIL 315	Engineering Ethics	3.0
UNIV E101	The Drexel Experience	1.0
COM Elective: ^**		3.0
COM 230	Techniques of Speaking
or COM 310	Technical Communication
General Education Electives ^**		15.0
Foundation Requirements
CHEM 101	General Chemistry I	3.5
CS 265	Advanced Programming Tools and Techniques	3.0
CS 260	Data Structures	3.0
ENGR 111	Introduction to Engineering Design & Data Analysis	3.0
ENGR 113	First-Year Engineering Design	3.0
ENGR 131	Introductory Programming for Engineers	3.0
or ENGR 132	Programming for Engineers
ENGR 231	Linear Engineering Systems	3.0
ENGR 232	Dynamic Engineering Systems	3.0
MATH 121	Calculus I	4.0
MATH 122	Calculus II	4.0
MATH 200	Multivariate Calculus	4.0
MATH 221	Discrete Mathematics	3.0
MATH 291	Complex and Vector Analysis for Engineers	4.0
PHYS 101	Fundamentals of Physics I	4.0
PHYS 102	Fundamentals of Physics II	4.0
PHYS 201	Fundamentals of Physics III	4.0
Science Elective ^***		3.0
Professional Requirements
ECE 101	Electrical and Computer Engineering in the Real World	1.0
ECE 105	Programming for Engineers II	3.0
ECE 200	Digital Logic Design	4.0
ECE 201	Foundations of Electric Circuits I	4.0
ECE 301	Foundations of Electric Circuits II	4.0
ECE 303	ECE Laboratory	3.0
ECE 361	Probability and Data Analytics for Engineers	4.0
ECE 491 [WI]	Senior Design Project I ^†	3.0
ECE 492 [WI]	Senior Design Project II ^†	3.0
ECE 493	Senior Design Project III ^†	3.0
ECEC 201	Advanced Programming for Engineers	3.0
ECEC 204	Design with Microcontrollers	3.0
ECEC 355	Computer Organization & Architecture	3.0
ECES 301	Signals and Systems I	4.0
CE Core Elective ^††		3.0
ECE Electives ^††		6.0
400+ ECE and/or ECEC Electives		9.0
Free Electives		27.0
MASTERS DEGREE COURSES
Graduate CE Courses ^†††		21.0
Graduate Electives ^‡		15.0
Grad General ECE Courses ^§		9.0
Total Credits		226.5

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major.

COOP 101 registration is determined by the co-op cycle assined and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

General Education Requirements

***

Choose any BIO, PHYS or CHEM course

†

Students who choose the Master's Thesis instead of Senior Design must replace ECE 491 [WI] , ECE 492 [WI] , ECE 493 credit with an ECE elective course.

††

Courses to satisfy these electives will be identified by the ECE department.

†††

500+ level course in ECEC

‡

500+ courses in the following areas: AE, BIO, BMES, CHE, CHEM, CIVE, CMGT, CS, ECE, ECEC, ECEE, ECEP, ECET, EGEO, EGMT, ENGR, ENVE, ET, MATE, MATH, MEM, OPR, PHYS, PROJ, PRMT, SYSE

500+ level course in ECE, ECEC, ECEE, ECEP, ECES, and/or ECET

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program . Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

First Year
Fall	Credits	Winter	Credits	Spring	Credits	Summer	Credits
CHEM 101	3.5	CIVC 101 or COOP 101^*	1.0	COOP 101 or CIVC 101^*	1.0	VACATION
ECE 101	1.0	ECE 200	4.0	ECE 105	3.0
ENGL 101	3.0	ENGR 131 or 132	3.0	ENGL 102	3.0
ENGR 111	3.0	MATH 122	4.0	ENGR 113	3.0
MATH 121	4.0	PHYS 101	4.0	MATH 200	4.0
UNIV 101	1.0			PHYS 102	4.0
	15.5		16		18		0
Second Year
Fall	Credits	Winter	Credits	Spring	Credits	Summer	Credits
ECE 201	4.0	CS 265	3.0	COOP EXPERIENCE		COOP EXPERIENCE
ECEC 201	3.0	ECEC 204	3.0
ENGL 103 or 113	3.0	ENGR 232	3.0
ENGR 231	3.0	PHYS 201	4.0
MATH 221	3.0	(UG) Free Elective	3.0
(UG) Free Elective	3.0	Communications Elective^**	3.0
		COM 230 or 310
	19		19		0		0
Third Year
Fall	Credits	Winter	Credits	Spring	Credits	Summer	Credits
CS 260	3.0	ECE 361	4.0	COOP EXPERIENCE		COOP EXPERIENCE
ECE 301	4.0	PHIL 315	3.0	(GR) Graduate Elective^***	3.0
ECEC 355	3.0	(UG) Science Elective^†	3.0
ECES 301	4.0	(UG) CE Core Elective^††	3.0
(UG) General Education Elective^**	3.0	(UG) Free Elective	3.0
(GR) Graduate Elective^***	3.0	(GR) Graduate Elective^***	3.0
	20		19		3		0
Fourth Year
Fall	Credits	Winter	Credits	Spring	Credits	Summer	Credits
ECE 303	3.0	(UG) ECE Elective^††	3.0	COOP EXPERIENCE		COOP EXPERIENCE
MATH 291	4.0	(UG) Free Electives	6.0	(GR) Graduate CE Course^†††	3.0	(GR) Graduate Elective^***	3.0
(UG) ECE Elective^††	3.0	(UG) General Education Elective^**	3.0
(UF) Free Elective	3.0	(GR) Graduate CE Courses^†††	6.0
(GR) Graduate CE Courses^†††	6.0
	19		18		3		3
Fifth Year
Fall	Credits	Winter	Credits	Spring	Credits
ECE 491^‡	3.0	ECE 492^‡	3.0	ECE 493^‡	3.0
(UG) ECE Elective (400+ level)^§	3.0	(UG) ECE Elective (400+ level)^§	3.0	(UG) ECE Elective (400+ level)^§	3.0
(UG) General Education Elective^**	3.0	(UG) General Education Elective^**	3.0	(UG) General Education Elective^**	3.0
(UG) Free Elective	3.0	(UG) Free Elective	3.0	(UG) Free Elective	3.0
(GR) Graduate CE Course^†††	3.0	(GR) Graduate CE Course^†††	3.0	(GR) Graduate Elective^***	3.0
(GR) Grad General ECE Course^¶	3.0	(GR) Grad General ECE Course^¶	3.0	(GR) Grad General ECE Course^¶	3.0
	18		18		18
Total Credits 226.5

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major.

General Education Requirements

***

500+ courses in the following areas: AE, BIO, BMES, CHE, CHEM, CIVE, CMGT, CS, ECE, ECEC, ECEE, ECEP, ECET, EGEO, EGMT, ENGR, ENVE, ET, MATE, MATH, MEM, OPR, PHYS, PROJ, PRMT, SYSE

†

Any BIO, PHYS or CHEM course

††

Courses to satisfy these electives will be identified by the ECE department

†††

500+ level course in ECEC

‡

Students who choose the Master's Thesis instead of Senior Design must replace ECE 491-493 credits with an ECE elective course

400 level courses in ECE and/or ECEC

500+ level course in ECEC, ECEE, ECEP, ECES, and/or ECET

Computer Engineering Faculty

Tom Chmielewski, PhD (Drexel University). Teaching Professor. Modeling and simulation of electro-mechanical systems; optimal, adaptive and non-linear control; DC motor control; system identification; kalman filters (smoothing algorithms, tracking); image processing; robot design; biometric technology and design of embedded systems for control applications utilizing MATLAB and SIMULINK

Fernand Cohen, PhD (Brown University). Professor. Surface modeling; tissue characterization and modeling; face modeling; recognition and tracking.

Andrew Cohen, PhD (Rensselaer Polytechnic Institute). Associate Professor. Image processing; multi-target tracking; statistical pattern recognition and machine learning; algorithmic information theory; 5-D visualization

Kapil Dandekar, PhD (University of Texas-Austin) Director of the Drexel Wireless Systems Laboratory (DWSL); Associate Dean of Research, College of Engineering. Professor. Cellular/mobile communications and wireless LAN; smart antenna/MIMO for wireless communications; applied computational electromagnetics; microwave antenna and receiver development; free space optical communication; ultrasonic communication; sensor networks for homeland security; ultrawideband communication.

Afshin Daryoush, ScD (Drexel University). Professor. Digital and microwave photonics; nonlinear microwave circuits; RFIC; medical imaging.

Anup Das, PhD (Universit of Singapore). Assistant Professor. Design of algorithms for neuromorphic computing, particularly using spiking neural networks, dataflow-based design of neuromorphic computing system, design of scalable computing system; hardware-software co-design and management, and thermal and power management of many-core embedded systems

Bruce A. Eisenstein, PhD (University of Pennsylvania). Arthur J. Rowland Professor of Electrical and Computer Engineering. Pattern recognition; estimation; decision theory.

Adam K. Fontecchio, PhD (Brown University) Director, Center for the Advancement of STEM Teaching and Learning Excellence (CASTLE). Professor. Electro-optics; remote sensing; active optical elements; liquid crystal devices.

Gary Friedman, PhD (University of Maryland-College Park) Associate Department Head for Graduate Affairs. Professor. Biological and biomedical applications of nanoscale magnetic systems.

Allon Guez, PhD (University of Florida). Professor. Intelligent control systems; robotics, biomedical, automation and manufacturing; business systems engineering.

Peter R. Herczfeld, PhD (University of Minnesota). Professor. Lightwave technology; microwaves; millimeter waves; fiberoptic and integrated optic devices.

Leonid Hrebien, PhD (Drexel University). Professor. Tissue excitability; acceleration effects on physiology; bioinformatics.

Nagarajan Kandasamy, PhD (University of Michigan) Associate Department Head for Undergraduate Affairs. Associate Professor. Embedded systems, self-managing systems, reliable and fault-tolerant computing, distributed systems, computer architecture, and testing and verification of digital systems.

Youngmoo Kim, PhD (MIT) Director, Expressive and Creative Interactive Technologies (ExCITe) Center. Professor. Audio and music signal processing, voice analysis and synthesis, music information retrieval, machine learning.

Fei Lu, PhD (University of Michigan). Assistant Professor. Power electronics; wireless power transfer technology for the high-power electric vehicles and the low-power electronic devices.

Karen Miu, PhD (Cornell University). Professor. Power systems; distribution networks; distribution automation; optimization; system analysis.

Bahram Nabet, PhD (University of Washington). Professor. Optoelectronics; fabrication and modeling; fiber optic devices; nanoelectronics; nanowires.

Prawat Nagvajara, PhD (Boston University). Associate Professor. System on a chip; embedded systems; power grid computation; testing of computer hardware; fault-tolerant computing; VLSI systems; error control coding.

Dagmar Niebur, PhD (Swiss Federal Institute of Technology). Associate Professor. Intelligent systems; dynamical systems; power system monitoring and control.

Christopher Peters, PhD (University of Michigan). Teaching Professor. Nuclear reactor design; ionizing radiation detection; nuclear forensics; power plant reliability and risk analysis; naval/marine power and propulsion; directed energy/high power microwaves; nonstationary signal processing; radar; electronic survivability/susceptibility to harsh environments; electronic warfare

Karkal Prabhu, PhD (Harvard University). Teaching Professor. Computer engineering education; computer architecture; embedded systems

Gail L. Rosen, PhD (Georgia Institute of Technology). Associate Professor. Signal processing, signal processing for biological analysis and modeling, bio-inspired designs, source localization and tracking.

Ioannis Savidis, PhD (University of Rochester). Associate Professor. Analysis, modeling, and design methodologies for high performance digital and mixed-signal integrated circuits; Emerging integrated circuit technologies; Electrical and thermal modeling and characterization, signal and power integrity, and power and clock delivery for 3-D IC technologies

Kevin J. Scoles, PhD (Dartmouth College) Associate Dean for Undergraduate Affairs. Associate Professor. Microelectronics; electric vehicles; solar energy; biomedical electronics.

Harish Sethu, PhD (Lehigh University). Associate Professor. Protocols, architectures and algorithms in computer networks; computer security; mobile ad hoc networks; large-scale complex adaptive networks and systems.

James Shackleford, PhD (Drexel University). Associate Professor. Medical image processing, high performance computing, embedded systems, computer vision, machine learning

P. Mohana Shankar, PhD (Indian Institute of Technology) Allen Rothwarf Professor of Electrical and Computer Engineering. Professor. Wireless communications; biomedical ultrasonics; fiberoptic bio-sensors.

Matthew Stamm, PhD (University of Maryland, College Park). Associate Professor. Information Security; multimedia forensics and anti-forensics; information verification; adversarial dynamics; signal processing

Baris Taskin, PhD (University of Pittsburgh). Professor. Very large-scal integration (VLSI) systems, computer architecture, circuits and systems, electronic design automation (EDA), energy efficient computing.

John Walsh, PhD (Cornell University). Associate Professor. Bounding the region of entropic vectors and its implications for the limits of communication networks, big data distributed storage systems, and graphical model based machine learning; efficient computation and analysis of rate regions for network coding and distributed storage; code construction, polyhedral computation, hierarchy, and symmetry

Steven Weber, PhD (University of Texas-Austin) Department Head. Professor. Mathematical modeling of computer and communication networks, specifically streaming multimedia and ad hoc networks.

Jaudelice de Oliveira, PhD (Georgia Institute of Technology). Associate Professor. Software-defined networking; social and economic networks; network security; design and analysis of protocols, algorithms and architectures in computer networks, particularly solutions for the Internet of Things

Emeritus Faculty

Suryadevara Basavaiah, PhD (University of Pennsylvania). Professor Emeritus. Computer engineering; computer engineering education; custom circuit design; VLSI technology; process and silicon fabrication

Eli Fromm, PhD (Jefferson Medical College). Professor Emeritus. Engineering education; academic research policy; bioinstrumentation; physiologic systems.

Edwin L. Gerber, PhD (University of Pennsylvania). Professor Emeritus. Computerized instruments and measurements; undergraduate engineering education.

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