Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) Courses – Bio-Medical Instrumentation – Semester I

LBI 11 – Fundamentals of Human Anatomy and Physiology

LBI 12 – Biomedical Instrumentation

LBI 13 – Medical Imaging

LBI 141 – Real Time DSP

LBI 142 – Mathematics for Image & Signal Processing

LBI 143 – Biomechanics

Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) Courses – Bio-Medical Electronics & Industrial Instrumentation – Semester II

LMI 21 – Medical Imaging

LMI 22 – Bio-Medical Signal Processing

LMI 23 – Process Control Instrumentation

LMI 241 – Digital Image Processing

LMI 242 – Biomaterials

LMI 251 – Applied Instrumentation

LMI 252 – Computer Based Industrial Control

Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) Courses – Bio-Medical Electronics & Industrial Instrumentation – Semester I

LMI 11 – Physiology for Engineers

LMI 12 – Biomedical Instrumentation

LMI 13 – Transducers in Instrumentation

LMI 141 – Lasers in Biomedical Sciences

LMI 142 – Ergonomics

LMI 151 – Neural Networks & Fuzzy Logic Control

LMI 152 – Process Automation

Comment for Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) Courses – Bio-Medical Electronics & Industrial Instrumentation – Semester I
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m.tech (biomedical Instrumentaion) Distance Learning
I want to M.tech in BIOMEDICAL INSTRUMENTATION.by distance learning mode ?/corresponding mode. What is the procedure to get admission in the university
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Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) courses – Aeronautical Engineering – Semester II

MAE21- Propulsion

MAE22 – Aircraft Structures

MAE23 – Aircraft Systems

MAE241- Engine Testing

MAE242 – Structural Design

MAE243 – Prod. Planning and Ctrl.

MAE251 – Flight Ctrls, Navigation & Comm.

Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) courses – Aeronautical Engineering – Semester I

MAE11 – Introduction to Aero-Space Vehicles & Systems

MAE12 – Aerodynamics and Flight Mechanics

MAE13 – Applied Mathematics

MAE141 – CFD & Wind Tunnel Testing

MAE142 – Aircraft Materials

MAE143 – Air Worthiness & QC

Comment for Visvesvaraya Technological University – Syllabus of Master of Technology (MTech) courses – Aeronautical Engineering – Semester I
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Syllabus for M Tech in Aeronautical
Please let me know the full detailed syllabus for M Tec in Aeronuatical Engg
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University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA),Semester-VI-Project Work

Students in the Semester VI of the MCA Program have to do a project.

CS-601- Project

The Project will be generally done at a local Industry/Software/IT organization and will include some/all techniques learnt by the student at the organization.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA),Semester-V

CS-700-level Advanced Course

CS-700-level Advanced Course

CS-700-level Advanced Course / AI Course

Management Optional Course

Outside Optional Course

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), AI Course

Essentials of Artificial Intelligence

Knowledge Representation and Reasoning

AI-721 – Machine Learning

AI-722 – Applied Artificial Intelligence

Intelligent and Co-operative Information Systems

Logic and Engineering

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA)

Mathematics Optional Course

Management Optional Course

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-715 Simulation and Modeling

Aims & Objectives : To design, develop and analyze simulation systems

Course Content : Lectures: Introduction: Models, Behaviors, Uses of simulations and motivations. Analytical system simulation techniques: Monte-Carlo methods, Numerical computation techniques, Lag models, distribute lag model and cob-web model. Discrete system simulation: Different Queuing models and studies. Simulation languages: Simscript and GPSS. Simulation system building paradigms: time-oriented and event-oriented, message-oriented, knowledge-based. Simulation engine development. Analysis of simulation output: Estimation methods, simulation statistics, replication of runs, batch means, regenerative techniques, time series analysis, spectral analysis and autoregressive means. Simulation of business applications: equipment maintenance, warehouse management, facility utilization, workflow management, project management.

Recommended Books :

G. Gordon: System simulation, Prentice Hall

J. M. Caroll: Simulation using personal computers; 001.64044, C239.

B. S. Gottfried: Elements of stochastic process simulation, 001.424, G71E

Journals : Simulation and Proceedings of Conferences on Simulation.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-752 Geographical Information System and Spatial Decision Support System

Aims & Objectives : To learn aspects of geographical information storage and retrieval systems.

Course Content : GIS vs. IS, SDSS vs. DSS, Spatial Data Structure and Representation, Data input for GIS, Data Storage for GIS, Data analysis & algorithms for GIS, Terrain Analysis, Network Analysis, Overlay Analysis, Digital Mapping & Cartography, Remote Sensing, Spatial Reasoning, KBGIS, Object oriented GIS, SDSS

Recommended Books :

Journals : Int. Jr. of GIS, IEEE and Jr. Remote Sensing

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course, CS-751 Decision Support Systems

Aims & Objectives : This course deals with mainly model building for decision situations in functional areas of management like, finance, marketing, production, planning and control etc. As such the emphasis is on model building and using a computer as a tool. The course emphasises substantial code writing on a pertinent application programme as well.

Course Content : Open systems and closed systems. Conversion of open system into a closed system. Problems involved in dealing with the quantitative parameters and qualitative parameters in such conversions from open system to closed system. Cost aspects involved in building a Decision Support System.

DIS versus MIS: The comparison and contrast of DSS with MIS. Emphasis of DSS as management of Models.Application problems with DSS in functional areas of management as follows:

(i)Financial Management: Applications in investment theory. Applications in portfolio management.

(ii)Marketing :Applications in research areas of marketing like, significant forecasting models, eg., Box-Jenkins, ARIMA (Auto Regressive Integrated Moving Average) models.

(iii)Production Planning and Control : Applications in significant areas like, inventory management, assembly line balancing etc.,

(iv)Applications to macro-economic problems.

A class room project is envisaged as a vehicle through which the student will be working on a significant DSS application problem that calls for substantial amount of coding.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course, CS-741 Natural Language Processing

Aims & Objectives : To develop a good understanding of all aspects of Natural Language Processing (NLP) from both linguistic and statistical point of view and to provide solid grounding in selected topics.

Course Content : Introduction, origins and history. Current status and future challenges. Corpus processing, computational lexicography, morphology and syntax with an emphasis on English as well as Indian Languages. Selected topics in semantics and pragmatics. Applications to MT, NL interfaces, Information Retrieval (IR), etc.

Recommended Books :

James Allen: Natural Language Understanding, The Benjamin/Cummings Publishing Co, Inc.

Eugene Cherniak: Statistical Language Learning, MIT Press, 1993.

Michael P. Oakes: Statistics for Corpus Linguistics, Edinburgh University Press, 1998.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-716 Text Processing

Aims & Objectives : To develop a good understanding of all aspects of Text Processing and to provide solid grounding in selected topics.

Course Content : String Processing – Efficient techniques for string processing. String searching algorithms – Knuth-Morris-Pratt, Boyer-Moore and Rabin-Karp algorithms. Processing binary strings. Incremental search techniques. Pattern Matching – Regular Expressions, regular grammars, deterministic and non-deterministic finite state machines for pattern matching. Corpus Analysis – Corpus creation. Storage and indexing techniques. Morpheme, word and sentence level statistics. Zipf’s law. Corpus indexing techniques. Word and sentence level n-grams. Analysis for Hidden Morkov models. Text tagging. Computational Techniques in Lexicography – From corpus to lexicon. Lexical knowledge bases – Electronic dictionaries and thesauri. Efficient storage and retrieval – B-Trees, TRIE, and Hashing. Dictionary analysis tools. Internal consistency and validation techniques. Dictionary updation and maintenance tools. Word Processing – Text layout – Justification, placement of figures, equations, etc. Paragraph and page formatting. Table of Contents, Index, and Bibliography creation. Footnotes and cross references. Spell Checking, Grammar Checking and Style Checking – Statistical and linguistic approaches to better writing tools. Isolated and context dependent spell and grammar checking tools. Introduction to Grammars and Parsers. Active Chart Parsing. Acceptance based, Relaxation based and Expectation based techniques. Multi-Script and Multi-lingual text processing – Scripts and Fonts – Multi-Script processing and GIST technology. Fonts and font libraries. Bilingual and Multi-lingual dictionaries, thesauri and word processors. Cryptology – Techniques for text encryption and decryption. Text Compression for efficient storage and transmission of textual data.

Applications to Natural Language processing, Speech Recognition, Optical Character Recognition, Information Retrieval and Office Automation.

Recommended Books :

Gerald Salton, “Automatic Text Processing”, Addison-Wesley, 1989.

Bran Boguraev, Ted Briscoe (Eds), Computational Lexicography for Natural Language Processing, Longman, 1989.

Robert Sedgewick, “Algorithms in C”, Addison Wesley, 1990

J.E. Hopcroft and J.D.Ullman, “Automata Theory, Languages and Computation”, Narosa, 1992.

A V Aho, Ravi Sethi, J D Ullman, “Compilers: Principles, Techniques and Tools”, Addison-Wesley, 1986.

S.N. Srihari, “Computer Text Recognition and Error Correction”, IEEE Computer Soceity Press, 1984.

Comment for University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-716 Text Processing
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oosd
i want oosd seminar topics of mca final year…. i belong to osmania university
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University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-763 Internet Technologies

Aims & Objectives : This is a first course on Internet and the World Wide Web. This exposes students to tools that could transform how we do the work in different domains of applications: Communication, Education, Information Access, Commerce, Healthcare etc.

Course Content : Review of computer networks, The Internet, Domains and addresses, options for connecting, S/W, modems etc., The internet toolkit: Electronic email, ftp, telnet, finger, etc. WWW, IRC, talk, MUDS, providing resources via internet. HTML, Javascript, CGI, Pearl and Introduction to JAVA.

Recommended Books :

Glee Harrah Cady, Pat McGregor: Mastering the Internet, BPB, Sybex 1996

Alan Simpson: HTML Publishing Bible, IDG Books, Comdex Computer Publishing, A Division of Pusthak Mahal, 1996.

Bryan Pfaffenberger: Publish on the Web, AP Professional, 1996.

Clayton Walnum: Java by Example, Que 1996.

Marty Hall: The Core Web Programming, Prentice-Hall, 1998.

J. Niederst: Web Design in a Nutshell, O’Reilly Associates, 1999.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS-723 Current Trends in Programming

Aims & Objectives : Advanced level course introducing the current trends in programming such as object oriented programming, etc.

Course Content : Object Oriented Design, Object modeling technique, Unified modeling technique, Object oriented programming, C++, JAVA, Usages of CASE tool in OOD. Theory of object-oriented programming, Quality in object oriented S/W. Introduction to software pattern and distributed object programming, Re-engineering, OOD to Real-time application, Fault-tolerance Assertion based programming, Agent based programming.

Recommended Books :

Any C++ book

Naughton et al.: The complete reference Java.

Netscape & Java Script, Omder pub.

Java in nutshell

Rambough et al.: Object Oriented Design .

UML reference Manual

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course, CS 722 – Current Trends in Databases

Aims & Objectives : The course emphasis will be on Algorithms and Database theory.

Course Content : General Introduction: Historical Perspective, characteristics of data mining and data warehousing. Data Warehousing: its architecture, logical design, multidimensional data model, OLAP, Data mart. Data mining vs Database, data mining as a component of data warehouse, data mining applications. Data mining Techniques: Association rules, clustering, decision trees, neural networks, fuzzy sets and rough sets. Overview of Advanced topics: Text mining, spatial mining, web mining, sequence mining. Data preparation and visualization.

Recommended Books :

The topics will be covered from a collection of research papers. There is no textbook published so far. The students are expected to read research articles and undertake some programming assignments.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS 746 – Document Analysis and Recognition

Aims & Objectives : The aim is to provide an overview of methods in document processing technology.

Course Content : Introduction to documents and processing: Introduction; to documents and models of document processing, top-down, bottom up approaches, document understanding approaches, image extraction and foreground background separation, layout analysis, text and graphics separation, form document processing. Classification Principles: Patterns and feature vectors, Bayesian classification, clustering, neural classifiers, other classifiers, including string and edit distances. Optical Character Recognition:

Categories of text, printed and handwriting, printed fixed and variable font methods, numeral recognition, recognition of hand-written cursive scripts, holistic and analytic methods. Graphics Recognition Methods: Region segmentation, vectorization, feature extraction, graphics recognition and interpretation. Tools and Techniques: Statistical PR Lib, OCR Software, Image Processing Library Applications: Application to Kannada, Devanagari Scripts, multi lingual form analysis, Forensic document examination: examining signatures, handwriting, obliterations erasures and overwriting etc.,

Recommended Books :

Duda and Hart: ” Pattern Classification and Scene Analysis”, J.Wiley and Sons.

Earl Gose et al: “Pattern Recognition and Image Analysis”, Prentice Hall of India, New Delhi, 1998.

Chen, Pau and Wang (Eds): “Handbook of Pattern Recognition”, World Scientific Press, Singapore 1993, Chapters 1.1, 1.2, 1.5, 3.6

Baird, Bunke and Yamamoto. (Eds): “Structured Document Image Analysis”, Chapters on understanding of printed documents and graphics recognition. Springer Verlag 1992.

L. O’Gorman and R. Kasturi: “Document Image Analysis: An Executive Briefing”, IEEE Computer Society Press 1998.

H. Bunke and P. S. P. Wang (Eds.): “Handbook of Character Recognition and Document Image Analysis” World Scientific Press, Singapore 1997.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course,CS 742 – Image Processing

Aims & Objectives : Image processing is an advanced course offered as elective to students interested in learning the theory, techniques and applications of the subject. It also aims to stimulate interest in current research areas in image processing and in developing tools for use in research as well as in multimedia applications.

Course Content : Introduction to Image processing, Fundamentals of Imaging, Imaging systems, Projection Geometry, Image File Formats, Colour Maps and Tables, Spatial Operations including point Processes, Frequency Domain Operations, Mathematical Morphology, Basic Algorithms, Advanced Topics and Applications. Advanced Topics and Applications change each time the course is offered based on hot areas of research, projects available in the department, etc.

Recommended Books : Textbooks are used only during the first part.

Digital Image Processing by Gonzalez and Woods, Addison-Wesley.

Fundamentals of Digital Image Processing by A.K. Jain, Prentice Hall India.

Extracts from various journals and periodicals for seminars and group discussions.

University of Hyderabad (UOH) Syllabus of Master of Computer Applications (MCA), Semester IV- CS-700-level Advanced Course, Language Processors

Aims & Objectives : To teach basics of compiler principles and design.

Course Content : Analysis – Synthesis model of a compiler, lexical analysis, syntactic analysis, DCFGs, LL & LR grammars & parsing techniques, syntax directed translation, code generation, code optimization, introduction to assemblers, linkers, loaders, macro processors, etc.

Recommended Books :

V. Aho, Ravi Sethi, and J. D. Ullman: Compilers: principles, techniques and tools, Addison-Wesley Publishers.

Holub: Compiler design in C.

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