Saturday, June 27, 2015

Artificial Intelligence - Mumbai University Syllabus and Related Knols



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Free Course on Artificial Intelligence

Stanford University Engineering Free Online Course. 10th October 2011 to 18th December 2011
http://www.ai-class.com/

The course is now shifted to Udacity. Search Udacity website for courses on artificial intelligence.

Course: Introduction to Machine Learning  - Free Course
https://www.udacity.com/course/intro-to-machine-learning--ud120
________________________________________________________

Artificial Intelligence - Mumbai University Syllabus


Objective: This course will introduce the basic ideas and techniques underlying the
design of intelligent computer systems. Students will develop a basic understanding of
the building blocks of AI as presented in terms of intelligent agents. This course will
attempt to help students understand the main approaches to artificial intelligence such as
heuristic search, game search, logical inference, decision theory, planning, machine
learning, neural networks and natural language processing. Students will be able to
recognize problems that may be solved using artificial intelligence and implement
artificial intelligence algorithms for hands-on experience

1. Artificial Intelligence: Introduction to AI, History of AI, Emergence Of Intelligent
Agents
2. Intelligent Agents: PEAS Representation for an Agent, Agent Environments,
Concept of Rational Agent, Structure of Intelligent agents, Types of Agents.
3. Problem Solving: Solving problems by searching, Problem Formulation, Uninformed
Search Techniques- DFS, BFS, Iterative Deepening, Comparing Different
Techniques, Informed search methods – heuristic Functions, Hill Climbing,
Simulated Annealing, A*, Performance Evaluation.
4. Constrained Satisfaction Problems: Constraint Satisfaction Problems like, map
Coloring, Crypt Arithmetic, Backtracking for CSP, Local Search.
5. Adversarial Search: Games, Minimax Algorithm, Alpha Beta pruning.
6. Knowledge and Reasoning: A knowledge Based Agent, Introduction To Logic,
Propositional Logic, Reasoning in Propositional logic, First Order Logic: Syntax and
Semantics, Extensions and Notational Variation, Inference in First Order Logic,
Unification, Forward and backward chaining, Resolution.
7. Knowledge Engineering: Ontology, Categories and Objects, Mental Events and
Objects.
8. Planning: Planning problem, Planning with State Space Search, Partial Order
Planning, Hierarchical Planning, Conditional Planning.
9. Uncertain Knowledge and Reasoning: Uncertainty, Representing knowledge in an
Uncertain Domain, Overview of Probability Concepts, Belief Networks, Simple
Inference in Belief Networks
10. Learning: Learning from Observations, General Model of Learning Agents,
Inductive learning, learning Decision Trees, Introduction to neural networks,
Perceptrons, Multilayer feed forward network, Application of ANN, Reinforcement
learning: Passive & Active Reinforcement learning.
11. Agent Communication: Communication as action, Types of communicating agents,
A formal grammar for a subset of English


Text Book:
1. Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd
Edition, Pearson Publication.

Reference Books:
1. George Lugar, “AI-Structures and Strategies for Complex Problem Solving”, 4/e,
2002, Pearson Educations
2. Robert J. Schalkolf, Artificial Inteilligence: an Engineering approach, McGraw Hill,
1990.
3. Patrick H. Winston, Artificial Intelligence, 3rd edition, Pearson.
4. Nils J. Nilsson, Principles of Artificial Intelligence, Narosa Publication.
5. Dan W. Patterson, Introduction to Artificial Intelligence and Expert System, PHI.
6. Efraim Turban Jay E.Aronson, "Decision Support Systems and Intelligent Systems”
PHI.
7. M. Tim Jones, Artificial Intelligence – A System Approach, Infinity Science Press -
Firewall Media.
8. Christopher Thornton and Benedict du Boulay, “Artificial Intelligence – Strategies,
Applications, and Models through Search, 2nd Edition, New Age International
Publications.
9. Elaine Rich, Kevin Knight, Artificial Intelligence, Tata McGraw Hill, 1999.
10. David W. Rolston, Principles of Artificial Intelligence and Expert System
Development, McGraw Hill, 1988.


Term Work:
Term work shall consist of at least 10 experiments covering all topics and one written
test.
Distribution of marks for term work shall be as follows:
17. Laboratory work (Experiments and Journal) 15 Marks
18. Test (at least one) 10 Marks


The final certification and acceptance of TW ensures the satisfactory Performance of
laboratory Work and Minimum Passing in the term work.
Suggested Experiment list: (Can be implemented in JAVA)
1. Problem Formulation Problems
2. Programs for Search
3. Constraint Satisfaction Programs
4. Game Playing Programs
5. Assignments on Resolution
6. Building a knowledge Base and Implementing Inference
7. Assignment on Planning and reinforcement Learning
8. Implementing Decision Tree Learner
9. Neural Network Implementation
10. Bayes’ Belief Network (can use Microsoft BBN tool)
11. Assignment on Agent Communication – Grammar Representation For Simple
Domains

Additional Books - Collection by Me (NRao)

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More
Toshinori Munakata
Springer Science & Business Media, Jan 1, 2008 - 272 pages


This significantly updated 2nd edition thoroughly covers the most essential & widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, & chaos. The exposition reveals the core principles, concepts, & technologies in a concise & accessible, easy-to-understand manner, & as a result, prerequisites are minimal. Topics & features: Retains the well-received features of the first edition, yet clarifies & expands on the topic Features completely new material on simulated annealing, Boltzmann machines, & extended fuzzy if-then rules tables

https://books.google.co.in/books?id=lei-Zt8UGSQC



Video lectures by IIT Faculty



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Knols - Articles  on Artificial Intelligence
Original knol - http://knol.google.com/k/narayana-rao/artificial-intelligence-mumbai/ 2utb2lsm2k7a/ 5734


Updated 27 June 2015
First published on 19 March 2012

Rough Sets - Theory and Applications - Collection of Articles and Books



2014

ISRN Applied Mathematics
Volume 2014 (2014), Article ID 382738, 11 pages
http://dx.doi.org/10.1155/2014/382738

A Hybrid Feature Selection Method Based on Rough Conditional Mutual Information and Naive Bayesian Classifier

Zilin Zeng,1,2 Hongjun Zhang,1 Rui Zhang,1 and Youliang Zhang1
1PLA University of Science & Technology, Nanjing 210007, China
2Nanchang Military Academy, Nanchang 330103, China
http://www.hindawi.com/journals/isrn/2014/382738/
Open Access Article



A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces
Issue No.01 - Jan. (2014 vol.26)
pp: 16-29
Pradipta Maji , Machine Intell. Unit, Indian Stat. Inst., Kolkata, India
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2012.242
ABSTRACT
The selection of relevant and significant features is an important problem particularly for data sets with large number of features. In this regard, a new feature selection algorithm is presented based on a rough hypercuboid approach. It selects a set of features from a data set by maximizing the relevance, dependency, and significance of the selected features. By introducing the concept of the hypercuboid equivalence partition matrix, a novel representation of degree of dependency of sample categories on features is proposed to measure the relevance, dependency, and significance of features in approximation spaces. The equivalence partition matrix also offers an efficient way to calculate many more quantitative measures to describe the inexactness of approximate classification. Several quantitative indices are introduced based on the rough hypercuboid approach for evaluating the performance of the proposed method. The superiority of the proposed method over other feature selection methods, in terms of computational complexity and classification accuracy, is established extensively on various real-life data sets of different sizes and dimensions.
INDEX TERMS
Approximation methods, Rough sets, Data analysis, Uncertainty, Data mining, Redundancy,rough hypercuboid approach, Pattern recognition, data mining, feature selection, rough sets
CITATION
Pradipta Maji, "A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces", IEEE Transactions on Knowledge & Data Engineering, vol.26, no. 1, pp. 16-29, Jan. 2014, doi:10.1109/TKDE.2012.242

2013
Economic Modeling Using Artificial Intelligence Methods

Front Cover
Tshilidzi Marwala
Springer Science & Business Media, Apr 2, 2013 - 261 pages
0 Reviews

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena.

The artificial intelligence techniques used to model economic data include:

multi-layer perceptron neural networks
radial basis functions
support vector machines
rough sets
genetic algorithm
particle swarm optimization
simulated annealing
multi-agent system
incremental learning
fuzzy networks
Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation.

Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
https://books.google.co.in/books?id=hV9EAAAAQBAJ



2011
Advanced Artificial Intelligence
Zhongzhi Shi
World Scientific, 2011 - 613 pages
Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior.
Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.
https://books.google.co.in/books?id=wNbMOoTuGU0C



2003
Rough Sets: Current and Future Developments
http://onlinelibrary.wiley.com/doi/10.1111/1468-0394.00248/pdf




Tuesday, June 9, 2015

Syllabus - First Year Computer Science and Engineering - SNDT University, Mumbai

Detailed syllabus and recommended books. Links to appropriate online articles and videos will be given. This blog will also contain number of articles and videos.

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Computer Science and Engineering - Knol Books - Catalogue

Sub-Directories of Articles/Knols in the Area of Computer Science and Engineering
Knol Sub-Directory - Computer Science, Engineering and Technology - Subjects
Knol Sub-Directory - New Knols - Computer Science, Engineering and Technology

_______________________________________________________


First Year

Engineering Math's - I/ II
Applied Science - I/II
Engineering Drawing
Electronics Devices
Introduction to Mechanics and Thermodynamics
Communication Skills - I
Basic Electrical Engineering Programming in C



Syllabus - May 2011

Applied Mathematics - I

Semester: I                            Lect: 4Hr
Branch: ENC / CST / IT                                                                                                    Credit: 04
1. MATRICES
Types of Matrices.  Adjoint of a matrix, Inverse of a matrix.  Elementary transformations.  Rank of a matrix.  Reduction to a normal form.  Partitioning of matrices.  System of homogeneous and non – homogeneous equations, their consistency and solutions.  Linear dependence and independence of rows and columns of a matrix area in a real field. Eigen values and Eigen vectors.  Cayley Hamilton theoram, Minimal Polynominal – Derogatory and non derogatory matrices. Applications in Engg.
2. DIFFERENTIAL EQUATION
Differential equation of 1st order and 1st degree, Linear – equations.  Bernoulli’s equations. Differential equation exact differential equations – integrating factors. Differential equations of higher order.  Differential operator D, Where f (D) y = X,  {x = eax , sin(ax+b),  Cos(ax+b),  xm ,  eax f(x).   Linear differential equations with constant and variable coefficients.  (Cauchy Linear Equations and Legendre’s Liner equations).  Simple applications (Where the differential equation is given). Applications in Engg.
3. DIFFERENTIAL CALCULUS
Successive differentiation, Leibnitz’s theorem ( without proof ) and applications, Rolle’s theorem, Lagrange’s and Cauchy’s Mean value theorem. Applications in Engg.
4. COMPLEX NUMBERS
Definition of complex numbers Cartesian, Polar and exponential form, De–Moiver’s theorem and roots of complex numbers.  Hyperbolic functions Separation real and imaginary parts of circular & Hyperbolic functions.  Logarithm of complex numbers. Applications in Engg.
 Reference Books:
1. P.N.Wartikar & J. N. Wartikar, Elements of Applied Mathematics, 1st edition, Pune Vidyarthi Griha Prakashan, 1995. (rs. 110/-)
2. B. S. Grewal, Higher Engineering Mathematics, 34th edition, Khanna Publishers, 1998. (Rs. 170).
3. Shanti Narayan, Matrices, 9th Edition, S. Chand, 1997. (Rs. 45/-)
4. Shanti Narayan, Differential Calculus, 14th Edition, S. Chand, 1996. (Rs. 60/-)
5. A. R. Vashishtha, Matrices, 27th Edition, Krishna Prakashan Mesdia(P) Ltd; 1996. (RS. 75/-)
6. Edwin Kreyszig, Advance Engg. Mathematics, 5th Edition, New Age International (P) Ltd; 1997. (Rs. 295/-)

Applied Mathematics - II


Semester: II                              
Lect: 4 Hr
Branch:ENC/CST/IT                                                                                       Credit: 04

SECTION    A
Partial Differentiation: Definition, differentiation of composite and implicit functions, Euler’s theorem on Homogeneous functions, total differentiation of composite functions using partial differentiation, errors and approximation, extreme values of functions of two variables, applications in engineering. 
Vector Algebra And Vector Calcus: Product of three or more vectors, vector differentiation – rules and theorems on vector differentiation, scalar point functions and vector point function, gradient, divergent and curl and applications solenoidal and irrotational fields, scalar potential of irrotational vectors, applications in engineering.
Differentiation Under Integral Sign: Theorems on differentiation under integral sign (without proof), Applications in engineering.

SECTION    B
Integral Calculus: Curve tracing (only standard curves) Rectification (only arc length), double Integrals – Change of order of integration, double integration of polar coordinates, application of single and double integration – mass and volume, triple integration, applications in engineering.
Error Functions – Beta And Gamma Functions: Error functions and its properties, simple problems based on it, beta and gamma functions, properties, relation between beta & gamma functions, duplication formula and problems based on it, applications in engineering.

References:
1. P.N.Wartikar & J. N. Wartikar, Elements of Applied Mathematics, 1st edition, Pune Vidyarthi Griha Prakashan, 1995. (rs. 110/-)
2. B. S. Grewal, Higher Engineering Mathematics, 34th edition, Khanna Publishers, 1998. (Rs. 170).
3. Shanti Narayan, Differential Calculus, 14th Edition, S. Chand, 1996. (Rs. 60/-)
4. Murry Spiega, Vector Analysis
5. Edwin Kreyszig, Advance Engg. Mathematics, 5th Edition, New Age
6. International (P) Ltd; 1997. (Rs. 295/-)


Applied Science – I

Semester: II                Lect: 4 Hr
Branch:ENC/CST/IT                                                                                        Credit: 04
Section – I (Physics)
Physics of Semiconductors
Introduction to band theory, metals, semiconductors and insulators; charge carriers in semiconductors; conductivity and mobility of charge carriers; concepts of fermi level; fermi level in Intrinsic and Entrinsic semiconductors; semiconductor junction diodes.
Introduction to Fiber Optic Communication
i] Propagation of light in an optical fiber; TIR, Angle of Acceptance; Numerical Aperture; Index Difference; Types of Fibers i) Step Index Fiber  ii) Graded Index Fiber; Advantages of Optical Fiber, Applications of Optical Fiber Communication System.
ii]  Optical Sources
Introduction to Lasers; Terms Associated with Lasers; Theory of Ruby Lasers; He-Ne Laser, LED, Semiconductor Lasers.
iii] Photo Detectors
Minority Charge Carrier Injection, Photo Diodes – p-n, p-in Avalanche.
Ultrasonic
Characteristics of U. S. Waves, Magnetosrictive effect, Magnetosrictive Transducer, Piezoelectric effect, Piezo Quartz Crystal and transducer Applications of U. S. Waves – i) High power applications such as ultrasonic cleaners and cavitation ii) Low power applications such as Non Destructive Testing Methods – flaw detectors, Ultrasonic Thickness Gauges, Sonar’s etc.
Super Conductors
Properties Characterizing Superconductors; Implications of Zero resistivity, Critical temp-Tc, critical magnetic field – Hc, Critical current Ic, Meissner effect, Penetration depth;
Types of superconductors; London’s equation; B.C.S. Theory, Josephson’s Effect and junctions, SQUID, Applications of Superconductors.
Introduction to Electromagnetic
Laws of Physics such as Gauss’s Law, Ampere’s Circuital Law, Solenoidal vector B, Faraday – Lenz’s Law expressed in terms of Maxwell’s equations, Modified form of Ampere’s Law.
References:
1. R. K. Gaur, and S. L. Gupta, Engineering Physics, 7th Edition, Dhanpat Rai Publication Pvt. Ltd., 1997. (165/-)
2. B. L. Theraja, Modern Physics., S. Chand and Company Ltd., 1996. (Rs. 60/-)
3. S. G. Patgawkar, Applied Physics – I, 5th Edition, Technova Publication, 1999.      (Rs. 75/-)
4. Arthur Beiser, Perspective of Modern Physics, McGraw Hill, 1997. (Rs. 400/-)
5. Charles Kittle, Solid State Physics, 7th Edition, John Wiley & Sons, 1996. (Rs. 254/-)
6. I. Wilson and J. F. B. Hawkes, Optoelectronics – An Introduction, 2nd Edition, PHI, 1999. (175/-)

Section – II  (Chemistry)

7. Phase Rule
Phase Rule, Water System, Sulphur System, Phase Rule for two Component Alloy Systems, Eutectic System, Bismuth – Cadmium Eutectic System, Lead – Silver System – Simple Eutectic Formation.
8. Electrochemistry, Specific, Equivalent and Molar Conductance
Introduction, Kohlrausch’s Law of Independent Migration of Ions, Laws of Electrolysis, Transport Number, Conductometric Titration.
9. Spectroscopy
Electromagnetic radiation, Spectroscopy, Principle, Instrumentation and Applications of Microwave, IR and UV Visible Spectroscopy, Beer Lamber’s Law.
10. Atomic Structure & Atomic Properties
Rutherford’s Modes, Bohr’s Model, Aufbau’s Principle, Pauli’s Law, Hund’s Rule, Electronic Configuration Atomic Properties like Ionization potential electro negativity, electron affinity, Atomic size, oxidation potential.

References:
1. Glasstone Lewis, Physical Chemistry
2. C. N. Banwell, Fundamentals of Molecular Spectroscopy, 3rd Edition, Tata McGraw Hill, 1992. (Rs. 69/-)
3. Anand and Chatwal, Instrumental Methods of Analysis, Himalaya Publishing House, 1997. (Rs. 160/-)

Communication Skills

Semester: I                       Lect: 4 Hr
Branch:  ENC/ CST/ IT                                                                Credit: 04
SECTION    A
1. Communication
 
The process, channels and media, Oral and written communication,
Verbal and non-verbal communication, Body language,
Barriers to communication , Developing communication through techniques.
2. Writing Skills
 
Vocabulary building- use of synonyms, antonyms, homonyms, homophones,word formation, confused set of words.
Writing effective paragraphs-through illustration, example, argument, analysis,description and comparison, expansion of key sentences.
Business correspondence-Principles of correspondence,Form,Formats,
Types of letters-Application with bio-data, enquiries, replies to enquiries, claims, adjustments, sales.
3. Summarising Techniques

One word substitutes( noun, verb,adverb, adjective)
Reduction of sentence length, Reduction of paragraph length,
Paraphrasing longer units.

SECTION B
4. Oral Communication Practice
 
Group discussion, Extempore speaking- introducing a speaker,
introducing a topic, vote of thanks, offering condolence, making
an announcement, speech on given topic, oral instructions.
5. Meeting Documentation

Notices, Circulars,Agendas,Minutes of meetings
6. Report Writing
 
Basics-What is a report, Qualities of a good report,
Style of  language in reports,Methods,Sequencing, Structures
Types of reports-analytical, feasibility, informative etc.
Non-formal short reports-letter reports, memorandum reports
7. Descriptive Writing
 
Simple description of an object often used by engineering students
Writing instructions on using an object or performing a process
 Reference Books
1. Sushil Bahl, “Business Communication Today”, Response Books, 1996, Rs.125/-
2. Krishna Mohan, R.C. Sharma, “Business Correspondence and Report Writing”, 2nd ed., Tata McGraw Hill, 1997, Rs.110/-
3. Krishna Mohan, Meera Banerji, “Developing Communication Skills”, McMillan & India Ltd., 1997, Rs.88/-
4. E.H.Macgraw, “Basic Managerial Skills For All”, 4th ed., PHI, 1996, Rs.125/-

Basic Electronics


Semester: II                      Lect: 4 Hr
Branch:  ENC/ CST/ IT                                                                Credit: 04

Modeling devices: Static characteristics of ideal two terminal and three terminal devices, small signal models of non-linear devices.
Semiconductor diodes, construction and characteristics, Static and dynamic resistance, temperature effects, Avalanche and zener diodes. Small signal models of diodes; some applications of diodes. Specification of diodes, rectifiers ripple factor, rectification efficiency, regulation, and filters.
Bipolar junction transistor: Construction, characteristics. BJT as amplifier, CB, CE, CC configurations. Biasing circuits, dc analysis and stability factor, DC load line and ac load line.
Single stage transistor amplifiers (CB, CC, and CE).  h-parameters, Small signal low frequency ac equivalent circuit, h parameter measurements
FET:- Construction, characteristics, amplifier. CS, CD and CG configurations. Biasing.  Low frequency small signal ac equivalent circuit of JFET amplifiers.

Text Books / Reference Books
1.  Boylstead & Nshelasky, “Electronic Devices & Circuit”, 6th edition, PHI. (Rs.295/-)
2.  Milman Grabel, “Microelectronics”
3.  V. K. Mehata, Principles of Electronics”, 7th edition. (Rs.210/-)
4.  Bhargav Gupta, “Basic Electronics & Linear Circuit”. (Rs.120/-)
5.  Kakani – Bhandari, “A Textbook of Electronics”.
Source: http://www.umit.ac.in/    Courses Page Accessed on 27.5.2011
__________________________________________________________________________

2009-10 First Semester Subjects

AS-1 Chemistry
AS-2 Physics
CS - Computer Skills
EC - Electrical Circuits
ED - Engineering Drawing
EM-1 Engineering Mathematics
EW - Electronics and Mechanical Workshop

 

Applied Mathematics - I

Semester: I                            Lect: 4Hr
Branch: ENC / CST / IT                                                                                                    Credit: 04
1. MATRICES
Types of Matrices.  Adjoint of a matrix, Inverse of a matrix.  Elementary transformations.  Rank of a matrix.  Reduction to a normal form.  Partitioning of matrices.  System of homogeneous and non – homogeneous equations, their consistency and solutions.  Linear dependence and independence of rows and columns of a matrix area in a real field. Eigen values and Eigen vectors.  Cayley Hamilton theoram, Minimal Polynominal – Derogatory and non derogatory matrices. Applications in Engg.
2. DIFFERENTIAL EQUATION
Differential equation of 1st order and 1st degree, Linear – equations.  Bernoulli’s equations. Differential equation exact differential equations – integrating factors. Differential equations of higher order.  Differential operator D, Where f (D) y = X,  {x = eax , sin(ax+b),  Cos(ax+b),  xm ,  eax f(x).   Linear differential equations with constant and variable coefficients.  (Cauchy Linear Equations and Legendre’s Liner equations).  Simple applications (Where the differential equation is given). Applications in Engg.
3. DIFFERENTIAL CALCULUS
Successive differentiation, Leibnitz’s theorem ( without proof ) and applications, Rolle’s theorem, Lagrange’s and Cauchy’s Mean value theorem. Applications in Engg.
4. COMPLEX NUMBERS
Definition of complex numbers Cartesian, Polar and exponential form, De–Moiver’s theorem and roots of complex numbers.  Hyperbolic functions Separation real and imaginary parts of circular & Hyperbolic functions.  Logarithm of complex numbers. Applications in Engg.

 Reference Books:
1. P.N.Wartikar & J. N. Wartikar, Elements of Applied Mathematics, 1st edition, Pune Vidyarthi Griha Prakashan, 1995. (rs. 110/-)
2. B. S. Grewal, Higher Engineering Mathematics, 34th edition, Khanna Publishers, 1998. (Rs. 170).
3. Shanti Narayan, Matrices, 9th Edition, S. Chand, 1997. (Rs. 45/-)
4. Shanti Narayan, Differential Calculus, 14th Edition, S. Chand, 1996. (Rs. 60/-)
5. A. R. Vashishtha, Matrices, 27th Edition, Krishna Prakashan Mesdia(P) Ltd; 1996. (RS. 75/-)
6. Edwin Kreyszig, Advance Engg. Mathematics, 5th Edition, New Age International (P) Ltd; 1997. (Rs. 295/-) 

Applied Mathematics - II


Semester: II                              
Lect: 4 Hr
Branch:ENC/CST/IT                                                                                       Credit: 04

SECTION    A
Partial Differentiation: Definition, differentiation of composite and implicit functions, Euler’s theorem on Homogeneous functions, total differentiation of composite functions using partial differentiation, errors and approximation, extreme values of functions of two variables, applications in engineering. 
Vector Algebra And Vector Calcus: Product of three or more vectors, vector differentiation – rules and theorems on vector differentiation, scalar point functions and vector point function, gradient, divergent and curl and applications solenoidal and irrotational fields, scalar potential of irrotational vectors, applications in engineering.
Differentiation Under Integral Sign: Theorems on differentiation under integral sign (without proof), Applications in engineering.

SECTION    B
Integral Calculus: Curve tracing (only standard curves) Rectification (only arc length), double Integrals – Change of order of integration, double integration of polar coordinates, application of single and double integration – mass and volume, triple integration, applications in engineering.
Error Functions – Beta And Gamma Functions: Error functions and its properties, simple problems based on it, beta and gamma functions, properties, relation between beta & gamma functions, duplication formula and problems based on it, applications in engineering.

References:

1. P.N.Wartikar & J. N. Wartikar, Elements of Applied Mathematics, 1st edition, Pune Vidyarthi Griha Prakashan, 1995. (rs. 110/-)
2. B. S. Grewal, Higher Engineering Mathematics, 34th edition, Khanna Publishers, 1998. (Rs. 170).
3. Shanti Narayan, Differential Calculus, 14th Edition, S. Chand, 1996. (Rs. 60/-)
4. Murry Spiega, Vector Analysis
5. Edwin Kreyszig, Advance Engg. Mathematics, 5th Edition, New Age
6. International (P) Ltd; 1997. (Rs. 295/-)

Applied Science – I

Semester: II                Lect: 4 Hr
Branch:ENC/CST/IT  
                                                                                      Credit: 04
Section – I (Physics)
Physics of Semiconductors
Introduction to band theory, metals, semiconductors and insulators; charge carriers in semiconductors; conductivity and mobility of charge carriers; concepts of fermi level; fermi level in Intrinsic and Entrinsic semiconductors; semiconductor junction diodes.
Introduction to Fiber Optic Communication
i] Propagation of light in an optical fiber; TIR, Angle of Acceptance; Numerical Aperture; Index Difference; Types of Fibers i) Step Index Fiber  ii) Graded Index Fiber; Advantages of Optical Fiber, Applications of Optical Fiber Communication System.
ii]  Optical Sources
Introduction to Lasers; Terms Associated with Lasers; Theory of Ruby Lasers; He-Ne Laser, LED, Semiconductor Lasers.
iii] Photo Detectors
Minority Charge Carrier Injection, Photo Diodes – p-n, p-in Avalanche.
Ultrasonic
Characteristics of U. S. Waves, Magnetosrictive effect, Magnetosrictive Transducer, Piezoelectric effect, Piezo Quartz Crystal and transducer Applications of U. S. Waves – i) High power applications such as ultrasonic cleaners and cavitation ii) Low power applications such as Non Destructive Testing Methods – flaw detectors, Ultrasonic Thickness Gauges, Sonar’s etc.
Super Conductors
Properties Characterizing Superconductors; Implications of Zero resistivity, Critical temp-Tc, critical magnetic field – Hc, Critical current Ic, Meissner effect, Penetration depth;
Types of superconductors; London’s equation; B.C.S. Theory, Josephson’s Effect and junctions, SQUID, Applications of Superconductors.
Introduction to Electromagnetic
Laws of Physics such as Gauss’s Law, Ampere’s Circuital Law, Solenoidal vector B, Faraday – Lenz’s Law expressed in terms of Maxwell’s equations, Modified form of Ampere’s Law.
References:

1. R. K. Gaur, and S. L. Gupta, Engineering Physics, 7th Edition, Dhanpat Rai Publication Pvt. Ltd., 1997. (165/-)
2. B. L. Theraja, Modern Physics., S. Chand and Company Ltd., 1996. (Rs. 60/-)
3. S. G. Patgawkar, Applied Physics – I, 5th Edition, Technova Publication, 1999.      (Rs. 75/-)
4. Arthur Beiser, Perspective of Modern Physics, McGraw Hill, 1997. (Rs. 400/-)
5. Charles Kittle, Solid State Physics, 7th Edition, John Wiley & Sons, 1996. (Rs. 254/-)
6. I. Wilson and J. F. B. Hawkes, Optoelectronics – An Introduction, 2nd Edition, PHI, 1999. (175/-)

Section – II  (Chemistry)


7. Phase Rule
Phase Rule, Water System, Sulphur System, Phase Rule for two Component Alloy Systems, Eutectic System, Bismuth – Cadmium Eutectic System, Lead – Silver System – Simple Eutectic Formation.
8. Electrochemistry, Specific, Equivalent and Molar Conductance
Introduction, Kohlrausch’s Law of Independent Migration of Ions, Laws of Electrolysis, Transport Number, Conductometric Titration.
9. Spectroscopy
Electromagnetic radiation, Spectroscopy, Principle, Instrumentation and Applications of Microwave, IR and UV Visible Spectroscopy, Beer Lamber’s Law.
10. Atomic Structure & Atomic Properties
Rutherford’s Modes, Bohr’s Model, Aufbau’s Principle, Pauli’s Law, Hund’s Rule, Electronic Configuration Atomic Properties like Ionization potential electro negativity, electron affinity, Atomic size, oxidation potential.

References:
1. Glasstone Lewis, Physical Chemistry
2. C. N. Banwell, Fundamentals of Molecular Spectroscopy, 3rd Edition, Tata McGraw Hill, 1992. (Rs. 69/-)
3. Anand and Chatwal, Instrumental Methods of Analysis, Himalaya Publishing House, 1997. (Rs. 160/-)

Communication Skills

Semester: I                       Lect: 4 Hr
Branch:  ENC/ CST/ IT                                                                Credit: 04
SECTION    A
1. Communication
 
The process, channels and media, Oral and written communication,
Verbal and non-verbal communication, Body language,
Barriers to communication , Developing communication through techniques.
2. Writing Skills
 
Vocabulary building- use of synonyms, antonyms, homonyms, homophones,word formation, confused set of words.
Writing effective paragraphs-through illustration, example, argument, analysis,description and comparison, expansion of key sentences.
Business correspondence-Principles of correspondence,Form,Formats,
Types of letters-Application with bio-data, enquiries, replies to enquiries, claims, adjustments, sales.
3. Summarising Techniques

One word substitutes( noun, verb,adverb, adjective)
Reduction of sentence length, Reduction of paragraph length,
Paraphrasing longer units.

SECTION B
4. Oral Communication Practice
 
Group discussion, Extempore speaking- introducing a speaker,
introducing a topic, vote of thanks, offering condolence, making
an announcement, speech on given topic, oral instructions.
5. Meeting Documentation

Notices, Circulars,Agendas,Minutes of meetings
6. Report Writing
 
Basics-What is a report, Qualities of a good report,
Style of  language in reports,Methods,Sequencing, Structures
Types of reports-analytical, feasibility, informative etc.
Non-formal short reports-letter reports, memorandum reports
7. Descriptive Writing
 
Simple description of an object often used by engineering students
Writing instructions on using an object or performing a process

 Reference Books
1. Sushil Bahl, “Business Communication Today”, Response Books, 1996, Rs.125/-
2. Krishna Mohan, R.C. Sharma, “Business Correspondence and Report Writing”, 2nd ed., Tata McGraw Hill, 1997, Rs.110/-
3. Krishna Mohan, Meera Banerji, “Developing Communication Skills”, McMillan & India Ltd., 1997, Rs.88/-
4. E.H.Macgraw, “Basic Managerial Skills For All”, 4th ed., PHI, 1996, Rs.125/-


Basic Electronics


Semester: II                      Lect: 4 Hr
Branch:  ENC/ CST/ IT                                                                Credit: 04

Modeling devices: Static characteristics of ideal two terminal and three terminal devices, small signal models of non-linear devices.
Semiconductor diodes, construction and characteristics, Static and dynamic resistance, temperature effects, Avalanche and zener diodes. Small signal models of diodes; some applications of diodes. Specification of diodes, rectifiers ripple factor, rectification efficiency, regulation, and filters.
Bipolar junction transistor: Construction, characteristics. BJT as amplifier, CB, CE, CC configurations. Biasing circuits, dc analysis and stability factor, DC load line and ac load line.
Single stage transistor amplifiers (CB, CC, and CE).  h-parameters, Small signal low frequency ac equivalent circuit, h parameter measurements
FET:- Construction, characteristics, amplifier. CS, CD and CG configurations. Biasing.  Low frequency small signal ac equivalent circuit of JFET amplifiers.

Text Books / Reference Books

1.  Boylstead & Nshelasky, “Electronic Devices & Circuit”, 6th edition, PHI. (Rs.295/-)
2.  Milman Grabel, “Microelectronics”
3.  V. K. Mehata, Principles of Electronics”, 7th edition. (Rs.210/-)
4.  Bhargav Gupta, “Basic Electronics & Linear Circuit”. (Rs.120/-)
5.  Kakani – Bhandari, “A Textbook of Electronics”.



Updated  9 June 2015,   15 February 2012