Helwan University Faculty of Engineering  Helwan Communications, Electronics & Computers Engineering Department (CCE)
Postgraduate: STUDY PLANS  SYLLABUS: For Preparatory Stage M.Sc. / M.ENG ُ (FULL – TIME / PART  TIME)

ELECTRONICS ENGINEERING (BCC172501)
Contents: Introduction to VLSI design – motiviation for IC design, IC design process, design abstraction levels, CAD tools, elements of system specification and design. Combinational logic design, logic minimization, synchronous sequential logic design. Finite state machines, Mealy and Moore models, Designing with programmable logic devices ROM, PLA, PAL, PLD. Asynchronous sequential logic analysis procedure, state minimization, state assignment, static and dynamic hazards. Introduction to VHDL – basic concepts in VHDL, language features, types of VHDL description – structural, data flow and behavioral descriptions of hardware, combinational and sequential design examples using VHDL. Features and internal structure of CPLDs, FPGAs, designing with CPLDs and FPGAs. Introduction to IC floor planning and testing, design for testability, combinational logic testing, sequential logic testing, ATPG, boundary scan, built in self test. Design examples and case studies References: 1. VHDL: Analysis and Modeling of digital Systems – Zainalabedin Navabi, Mc Graw Hill, 1993. 2. VHDL Prniter – Bhaskar, PHI, 3^{rd} Edition, 1999. 3. Digital Principles and Design Donald D. Givone, Tata McGraw Hill, 2002. 4. Digital Design – M.M. Mano, Third Edition, Pearson Education 2001. 5. Digital Design – Principles and Practice – John.F.Wekerly, third edition, Pearson Education 2001. 6. Modern VLSI design – Wayne wolf, Pearson Education, 1997. 7. Specification and Design of Embedded Systems – daniel D. Gajski, Frank Vahid, Sanjiv Narayan, Jie Gong, Prentice Hall 1994. 
COMMUNICATIONS ENGINEERING (BCC172502) Contents: Probability and Stochastic Processes for Communication Engineering, Elementary probability principles, Discrete random variables, Continuous random variables, The Poisson process, Joint probability distributions, joint distributions of discrete random variables, joint distributions of continuous random variables, independence, Variance, covariance, correlation coefficient, The central limit theorem, properties of normally distributed random variables, the central limit theorem and the law of large numbers, Tchebycheffi inequality, Stochastic signal, orthogonal representation of signals, random process, power spectral density, Discretetime Markov chains, the transition matrix, the steadystate probability vector, Continuoustime Markov chains, Introduction to stochastic processes References: ٍ1Sٍolomon, Probability and Stochastic Processes, PrenticeHall 1987. 2 E. P.C. Kao, An introduction to Stochastic Processes, Duxbury Press 1997.   