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MPHIL Core Course Description

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Detailed Course Description: MPHIL Programme 

 

Year I Courses

CPEN 601 Engineering Research Methods

The engineering research method course highlights on the principle and developmental process for conducting effective research and documentation. Topics include research process, development of research proposals, design of questionnaire and interviewing techniques, content analysis, research report writing, quantitative and qualitative research, measurement strategies, sources of data and collection procedures, literature survey, statistical evaluation of data and testing, experimental research design, factorial experiment, nested design, split-plot design, statistical software packages.

Reference books and materials [1] Robson, C., Real World Research: A Resource for Social Scientist and Practitioners, 2nd Ed., Blackwell Publishers, 2002. [2] Bryman, A., Social Research Methods, 1st Ed., Oxford University Press, 2001 [3] Campbell, D. T., and Stanley, J. C., Experimental and Quasi-Experimental Designs for Research, Houghton Mifflin Publishers, 1990

 

CPEN 602 Engineering Project Management

The engineering project management course provides the tools necessary to manage a project. Topics include scope and value of project, project clarity and goals, project life cycle and organization, management process, process control and monitoring, project integration management, project scope management, project time management, cost management, communications management and reporting, project quality management, risk management, human resource management, procurement management, engineering economics including for-profit and not-for profit decision-making, present economy, uncertainty, and multiple attribute decisions.

Reference books and materials [1] Lock, D., Project Management, Gower Publishing, 2007 [2] Ross, S. M., Project Management, Planning, and Control: Managing Engineering, Constructions, and Manufacturing Projects to PMI, APM, and BSI Standards, Butterworth-Heinemann, 2006 [3] Kerzner, H., Project Management: A Systems Approach to Planning, Scheduling, and Controlling, Wiley & Sons, 2009

 

CPEN 603 System-On-Chip Design

The system-on-chip design course examines the tools and techniques necessary for modeling, designing, verification and implementation of system-on chip designs on a single chip using programmable logic devices such as field programmable gate arrays (FPGA). Topics include introduction to system-on-chip concepts, design flow process and IP reuse, Verilog and VHDL synthesis, FPGA design, software design, embedded processor architecture, hardware/software co-design in FPGA, high-level synthesis, scheduling system, system modeling, system analysis, testing, ASIP design, reconfigurable computing, and case studies.

Reference books and materials [1] Palnitkar, S., Verilog HDL, 2nd Ed., Prentice Hall, 2003 [2] Maxfield, C., The Design Warriors Guide to FPGAs, Newnes, 2004 [3] De Micheli, G., Ernst, R., and Wolf, W., Readings in Hardware/Software Co-Desgin, Morgan Kaufmann, 2001 [4] Jerraya, A., and Wolf, W., Multiprocessor Systems-on-Chips, Morgan Kaufmann, 2004

 

CPEN 604 Real Time Computing Systems

The real-time systems course examines technologies used for real-time systems and networks for systems such as multimedia, telecommunication management, and smart manufacturing. Topics include overview of real-time systems, design and implementation issues, system interfacing concepts, real-time scheduling paradigms, resource management issues in uniprocessor and multiprocessor real-time systems, embedded software design constraints, feedback control real-time scheduling, performance management, reliability, software timing and functional validation, supporting applications from real-time wireless sensor networks, distributed real-time systems, and real-time networks.

Reference books and materials [1] Liu, J. W. S., Real-time Systems, Prentice Hall, 2000 [2] Li, Q., and Yao, C., Real Time Concepts for Embedded Systems, CMP Books, 2003 [3] Buttazzo, G. C., Hard Real-time Computing Systems: Predictable Scheduling Algorithms and Applications, 2nd Ed., Springer 2005

 

CPEN 605 Probability and Random Processes

The probability and random processes course provides in-depth analysis of the statistical tools for engineering applications. Topics include basic probability, conditional probability, Bayes' theorem, PDF and CDF, random variables, transformations, expected values, moments, characteristic functions, limit theorem, random processes, wide sense stationary processes, spectral density, Markov processes and Markov chains, Gaussian, Poisson and shot noise processes, and elementary queuing analysis.

Reference books and materials [1] Papoulis, A., and Pillai, S. U., Probability, Random Variables, and Stochastic Processes, 4th Ed., McGraw Hill, 2002 [2] Leon-Garcia, A., Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Ed., Prentice Hall, 2008 [3] Yates, R. D., and Goodman, D., Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Ed., Wiley, 2004

 

CPEN 610 Seminar I

The seminar I course focuses on the study of various advance subjects in computer engineering through special seminars on topics to be selected each year as well as problem solving skill development. As part of the course, candidates will be involved in informal group studies of special problems, group participation in comprehensive design problems, or group research on complete problems for analysis and experimentation. Each candidate will give at least one oral presentation as well as a full write up of the presentation for assessment.

Reference books and materials [1] Robson, C., Real World Research: A Resource for Social Scientist and Practitioners, 2nd Ed., Blackwell Publishers, 2002. [2] Campbell, D. T., and Stanley, J. C., Experimental and Quasi-Experimental Designs for Research, Houghton Mifflin Publishers, 1990

 

CPEN 684 Advanced Engineering Mathematics

The advanced mathematics course provides the necessary applied mathematical and analytical tools useful for solving practical engineering problems. Topics include first ordinary differential equations and solutions, second order differential equations and higher order differential equations, series solution of ordinary differential equation including power series method, Bessel functions, Legendre function, and hyper-geometric functions, linear algebra and calculus including matrices, eigen-values eigen-vectors, vector differential calculus, divergence and curl vector fields, vector integral calculus including Green's theorem and Stoke's theorem, Laplace transforms, Fourier analysis of differential equations, partial differential equations including basic concepts, vibrating strings, D'Alembert solution, wave equation and heat equation.

Reference books and materials [1] Kreyszig, E., Advanced Engineering Mathematics, 9th Ed., John Wiley & Sons, 2008 [2] Salas, S. L., and Hille, E., Calculus: One and Several Variables, 10th Ed., John Wiley & Sons, 2009

 

Year II Courses

CPEN 620 Seminar II

The seminar II course emphasizes on development of the skills of critical thinking and technical sophistication for candidates to reach the research frontier of these fast developing fields research. As part of the course, candidates will be required to read many papers or book chapters and give presentations on a few selected papers. In the second year, each candidate will be expected to make a presentation soon after the year one examination on a research proposal the candidate intends to work on for the thesis. During the middle part of the second semester of the second year, the candidate will be required to give a progress report on the research. 

Reference books and materials [1] Robson, C., Real World Research: A Resource for Social Scientist and Practitioners, 2nd Ed., Blackwell Publishers, 2002. [2] Campbell, D. T., and Stanley, J. C., Experimental and Quasi-Experimental Designs for Research, Houghton Mifflin Publishers, 1990

 

CPEN 650 MPhil Thesis

The thesis involves a candidate working closely under the guidance of a graduate supervisor for one year to investigate an approved original project idea from a selected field of specialization, and writing a thesis. The investigation will conform to the principles of research and will include the relationship of the proposed idea to previous related work reported in the literature, study of possible implications and potential application. The thesis will be evaluated based either on the academic contribution or contribution to the relevant industrial application. The contributions and results obtained from the investigation will be synthesized and compiled into a publication-quality research paper.

Reference books and materials [1] Madsen, D., Successful Dissertations and Theses: A Guide to Graduate Student Research from Proposal to Completion, 2nd Ed., Jossey-Bass Inc. Publishers, 1991. [2] Robson, C., Real World Research: A Resource for Social Scientist and Practitioners, 2nd Ed., Blackwell Publishers, 2002. [3] Campbell, D. T., and Stanley, J. C., Experimental and Quasi-Experimental Designs for Research, Houghton Mifflin Publishers, 1990