All students are required to take at least two courses that emphasize development of mathematical skills required in the area of computer engineering. This requirement should be satisfied in consultation with the student's advisor and the departmental graduate advisor.

           Prospective students should preferably have an undergraduate degree equivalent to a U.S. bachelor's degree in one of the following: Computer Engineering, Computer Science or Electrical Engineering.  Students holding degrees in other Engineering and Science disciplines, who have had appropriate coursework or training, will also be considered.  Appropriate coursework includes courses in, or experience with all of the following:

·        Software: advanced programming and operating systems;

·        Computer Architecture: digital systems design, computer organization and architecture;

·        Algorithms and Data Structures;

·        Computer Networks.

Computer Engineering Course

Course List	(18 courses: 5 sequences and 3 stand-alone courses)
ECE-C501	Computational Principles of Representation and Reasoning
ECE-C502	Computational Principles of Data Analysis and Regulatory Recognition
ECE-C503	Computational Principles of Decision Making, Planning and Control
ECE-C511	Issues in Combinational Circuit Design
ECE-C512	Issues in Sequential Circuit Design
ECE-C513	Design for Testability
ECE-C621	High-Performance Computer Architecture
ECE-C622	Parallel Computer Architecture
ECE-C623	Advanced Parallel Computer Architectures
ECE-C631	Principles of Computer Networking
ECE-C632	Performance Analysis of Computer Networks
ECE-C633	Advanced Topics in Computer Networking
ECE-C654	Knowledge Representation
ECE-C655	Knowledge Transformation
ECE-C656	Knowledge Intensive Systems
ECE-C661	VLSI Design
ECE-C662	VLSI Array Processors I
ECE-C663	VLSI Array Processors II

Course Descriptions

• ECE-C501: Computational Principles of Representation and Reasoning: (3 credits)
  Syllabus :
  This course presents fundamentals of discrete mathematics as applied within the computer engineering design and manufacturing environment. Students are given the theoretical background in representation and reasoning for a broad variety of engineering problems solving situations. Entity-relational techniques of representation are demonstrated to evolve into the object-oriented approach. Various search techniques are applied
  in the cases of representing engineering systems by using theory of automata techniques.

• ECE-C502: Computational Principles of Data Analysis and
  Regularity Recognition: (3 credits)
  Syllabus :
  This course presents theoretical methods and techniques of model development applicable within the computer engineering design and manufacturing environment. Students are given the theoretical background in data analysis (including "data mining"). Emphasis is on hybrid systems and discrete events systems. Various methods of recognizing regularities in data will be presented. Elements of the theory of clustering and classification will be dealt with for the paradigm of software and hardware application.
  Prerequisite : ECE-C501

• ECE-C503: Computational Principles of Decision Making, Planning and Control: (3 credits)
  Syllabus :
  This course presents theoretical fundamentals and engineering techniques of decision making and problem solving applicable within the computer engineering design and manufacturing environment. Students are given the theoretical background in optimization methods for a broad variety of situations. Elements of the theory of planning and on-line control of systems are presented within the scope of software and hardware
  computer design and control.
  Prerequisite : ECE-C502

• ECE-C511: Issues in Combinational Circuit Design: (3 credits)
  Syllabus :
  Representing arithmetic, logic and syntax data for machine processing. Switching algebra: Boolean and multiple values. Identification and classification of functions. Realizing completely specified and incompletely specified Boolean functions. Issues in designing large communication/control Boolean functions. Fault models and testing of Boolean function.

• ECE-C512: Issues in Sequential Circuit Design: (3 credits)
  Syllabus :
  Finite automata and their realization by sequential machines, capabilities, transformation and minimization of finite automata, linear finite automata. Clocked pulsed and level mode sequential circuits. Malfunctions in sequential circuits: hazards, races, lockouts, metastability. Issues of
  state assignment. Evolution of memory elements design: ROM vs RAM
  vs associative memory.
  Prerequisite : ECE-C511

• ECE-C513: Design for Testability: (3 credits)
  Syllabus :
  Economics vs Complexity vs Strategy of Testing; Fault Models; Test Generation; Testability Analysis & Designing Testable Circuits; Testing Microprocessrs, Memories and Computer Components; Test Data Compression; Fault Tolerant Hardware; Reliability vs Availability; Redundancy and Error Correcting Codes.
  Prerequisite : ECE-C511 and ECE-C512

• ECE-C621: High-Performance Computer Architecture: (3 credits)
  Syllabus :
  Maximizing single processor performance. Concepts and techniques for design of computer systems. Processor design, instruction set
  architecture design and implementation, memory hierarchy, pipelined processors, bus bandwidth, processor/memory interconnections, cache memory, virtual memory, advanced I/O systems, performance evaluation.

• ECE-C622: Parallel Computer Architectures: (3 credits)
  Syllabus :
  Advanced techniques of computer design. Use of parallel processing to achieve high performance levels. Fine and coarse grained parallelism. Multiple CPU parallelism, through multiprocessors, array and vector processors, dataflow architectures and special purpose processors.
  Design implications of memory latency and bandwidth limitations.
  Speedup problems.

• ECE-C623: Advanced Parallel Computer Architectures: (3 credits)
  Syllabus :
  Modern research topics and methods in parallel computer architectures. Parallel algorithms, interconnection networks, SIMD/MIMD machines, processor synchronization, data coherence, dataflow machines, special purpose processors. Selected topics in parallel computing.
  Prerequisite : ECE-C622

• ECE-C631: Principles of Computer Networking: (3 credits)
  Syllabus :
  Principles of circuit switching, packet switching and virtual circuits;
  protocol layering; application layer protocols for e-mail and web applications; naming and addressing; flow control and congestion avoidance with TCP; Internet Protocol (IP); routing algorithms; router architectures; multicast protocols; local area network technologies and protocols; issues in multimedia transmissions; scheduling and policing; Quality-of-Service and emerging Internet service architectures; principles
  of cryptography.

• ECE-C632: Performance Analysis of Computer Networks: (3 credits)
  Syllabus :
  Covers probability theory and its applications to networks, random
  variables and random processes; Markov chains, multi-dimensional
  Markov chains; M/M/1, M/M/m, M/M/m/m, M/G/1 and G/G/1 queueing systems and their applications in computer networks; analysis of
  networks of queues: Kleinrock Independence Approximation; Time-reversibility and Burke's theorem; Jackson's theorem; the phenomenon
  of long-range dependence and its implications in network design and
  traffic engineering.
  Prerequisite : ECE-C631

• ECE-C633: Advanced Topics in Computer Networking: (3 credits)
  Syllabus :
  This course offers an advanced introduction and research perspectives in the areas of switch/router architectures, scheduling for best-effort and guaranteed services, QoS mechanisms and architectures, web protocols and applications, network interface design, optical networking, and
  network economics. The course also includes a research project in computer networking involving literature survey, critical analysis, and
  finally, an original and novel research contribution.
  Prerequisite : ECE-C632

• ECE-C654: Knowledge Representation: (3 credits)
  Syllabus :
  Covers conceptual modeling, including an overview of multiple techniques
  of Knowledge Representation. Includes semantic networks, reduced semantic networks, logic of incomplete knowledge bases, extensional semantic networks, and application of conceptual models. Introduces procedures of automated messaging. Focuses on systems and
  techniques providing interoperability.

• ECE-C655: Knowledge Transformation: (3 credits)
  Syllabus :
  Covers methods and techniques of Knowledge Engineering oriented
  toward texts and natural language processing. Methods of automated summarization and survey generation are explored. Includes recognition
  of clauses and their validation. Considers clustering in heuristic and expert oriented systems as well as the specifics of dealing with knowledge extraction from the corpora sources.
  Prerequisite : ECE-C654

• ECE-C656: Knowledge Intensive Systems: (3 credits)
  Syllabus :
  Covers elements of autonomous knowledge processing in the knowledge-intensive systems. Outlines methods applicable in both linguistic and pictorial knowledge bases. Considers applications for design purposes, automated discovery, discovery in mathematics and methods of new knowledge generation.
  Prerequisite : ECE-C655

• ECE-C661: VLSI Design: (3 credits)
  Syllabus :
  Top-down design methodology using VHDL hardware description language and simulation.  Behavioral descriptions (process statements) in datapath, control unit and systems.  Projects include design of a behavioral model
  of a stack architecture computer.  Design automation tools are used extensively.

• ECE-C662: VLSI Array Processors I: (3 credits)
  Syllabus :
  Synthesizable behavioral code.  Field programmable gate arrays are
  used in the projects.  Test pattern generation and design for testability techniques (built-in self-test and scan design).  VHDL-based performance modeling (Petri nets model).
  Prerequisite : ECE-C661

• ECE-C663: VLSI Array Processors II: (3 credits)
  Syllabus :
  Digital signal processing algorithms, mapping algorithms onto array structures, systolic arrays, wavefront arrays and systolic/wavefront array computers.  Projects include behavioral design of systolic and wavefront arrays solving system of linear equations.
  Prerequisite : ECE-C662

   

  For additional information, Please contact the Graduate Advisor: 
  Leonid Hrebien at lhrebien@coe.drexel.edu