ANNA UNIVERSITY PHD PROGRAM SYLLABUS FOR MEDICAL ELECTRONICS IN 4003
The Anna University PhD Programme Syllabus is designed to evaluate a candidate’s aptitude for advanced research, analytical thinking, and academic integrity across engineering, science, humanities, and management disciplines. The syllabus primarily focuses on Research Methodology, General Aptitude, and Subject-specific knowledge, ensuring alignment with UGC regulations and global doctoral research standards.
The Research Methodology component forms the core of the Anna University PhD Entrance Examination syllabus and covers essential concepts such as the meaning, objectives, and types of research including basic, applied, exploratory, descriptive, analytical, qualitative, quantitative, and mixed-method research. It emphasizes the research process, which includes identification of research problems, formulation of objectives and hypotheses, literature review techniques, research design selection, sampling strategies, data collection methods, data analysis, interpretation of results, and reporting of findings.
The syllabus also includes research design and experimental methods, covering exploratory, descriptive, and experimental research designs, principles of experimental design such as randomization, replication, blocking, and control, and the role of variables including independent, dependent, and confounding variables. Sampling techniques such as probability sampling (simple random, stratified, systematic) and non-probability sampling (convenience, judgmental, snowball) are emphasized due to their frequent appearance in entrance examinations.
A significant portion of the syllabus is dedicated to statistical methods for research, including descriptive statistics like mean, median, mode, variance, and standard deviation, as well as inferential statistics such as hypothesis testing, t-test, z-test, chi-square test, ANOVA, correlation, regression analysis, and interpretation of statistical results. Concepts of reliability and validity, including types of validity and measurement errors, are also included to assess research quality.
The research ethics and publication ethics section is mandatory and focuses on ethical issues in research, plagiarism types, academic integrity, informed consent, data fabrication and falsification, copyright issues, authorship ethics, and the use of plagiarism detection tools as per Anna University and UGC guidelines. This section ensures awareness of responsible research conduct among doctoral scholars.
In addition to research methodology, the Anna University PhD syllabus includes General Aptitude, covering logical reasoning, analytical ability, quantitative aptitude, basic mathematics, data interpretation, and verbal ability, which assess problem-solving skills and reasoning competence essential for doctoral research.
The subject-specific syllabus is based on the candidate’s chosen discipline and typically aligns with postgraduate-level concepts, advanced theories, recent developments, and core fundamentals relevant to the field of specialization. This section evaluates domain expertise and readiness to pursue independent research.
Overall, the Anna University PhD Programme Syllabus is structured to test conceptual clarity, research aptitude, ethical awareness, and subject proficiency, making it comprehensive, competitive, and aligned with national doctoral education standards. This syllabus serves as a strong foundation for aspiring researchers aiming for successful admission and long-term academic excellence.
UNIT - I Semiconductor Devices, Electronic Circuits Biasing , BJTs and MOSFETs, Amplifiers, Low & High frequency analysis, IC MOSFET, Oscillators; Analog ICs - A-D & D-A Convertors, Applications of Analog ICs; Digital Electronics - Combinatorial circuits and Sequential circuits
UNIT - II Communication Line coding, amplitude modulation and demodulation, spectra of AM and FM, PCM, DPCM, digital modulation schemes, amplitude, phase and frequency shift keying (ASK, PSK, FSK), QAM, MAP and ML decoding, TDMA, FDMA and CDMA
UNIT - III Basics Of Signals And Systems, Digital Signal Processing Fourier series and Fourier transform, DFT, FFT, Z-transform, digital filter design techniques, Adaptive Filter Structures; Digital image Processing- Spatial and Frequency domain techniques, image enhancement, Segmentation, Restoration, Compression techniques, Laplace transforms, Zeros, Poles, Stability, Gain Margin, Phase Margin
UNIT - IV Biomedical Instrumentation Bio Potential Recording, Biomedical Transducers And Amplifiers, Non Electrical Parameter Measurements , Diathermy and Stimulator
UNIT - V Human Assist Devices Scanning Techniques- Heart Lung Machine and Artificial Heart, Cardiac Assist Devices, Artificial Kidney, Prosthetic and Orthotic Devices, Respiratory and Hearing Aids
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