K. RAMAKRISHNAN COLLEGE OF TECHNOLOGY AUTONOMOUS B.Tech .ARTIFICIAL INTELLIGENCE AND DATA SCIENCE PROGRAM EDUCATIONAL OBJECTIVES: PEO1: Apply the concepts of computer science world problems PEO2: Work effectively in teams with high problems PEO3: Adapt to emerging technological changes the field of AI and DS PROGRAME OUTCOMES Engineering Graduates will be able to: PO1 Engineering knowledge : Apply the knowledge specialization to the solution of complex engineering PO2 Problem analysis : Identify, formulate, substantiated conclusions using first p rinciples of PO3 Design/development of solutions : Design processes that meet the specified needs with appropriate environmental considerations. PO4 Conduct investigations of complex problems experiments, analysis & interpretation of data PO5 Modern tool usage : Create, select and apply appropriate techniques, resources and modern engineering & IT tools including prediction and modeling to complex engineering PO6 The engineer and society : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal & cultural issues and the consequent responsibilities PO7 Environment and sustainability : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and PO8 Ethics : Apply ethical principles and commit PO9 Individual and team work : Function effectively multidisciplinary settings. PO10 Communication : Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design give and receive clear instructions. PO11 Project management and finance : Demonstrate knowledge and understanding of the engineering and management principles and apply these to one‘s own work as a member PO12 Life-long learning : Recognize the need for and have the preparation and ability to engage in independent and life in the broadest context of technological change. K. RAMAKRISHNAN COLLEGE OF TECHNOLOGY AUTONOMOUS INSTITUTION B.Tech .ARTIFICIAL INTELLIGENCE AND DATA SCIENCE REGULATIONS – 2020 OBJECTIVES: along with the knowledge of AI ad DS to develop solutions ethical and moral values in providing innovative changes and continue the professional education knowledge of mathematics, science, engineering fundamentals engineering problems. review research literature and analyze complex rinciples of mathematics, natural sciences and engineering sciences. Design solutions for complex engineering problems and design processes that meet the specified needs with appropriate consideration for the public health & safety and the cultural, societal and complex problems : Use research-based knowledge and research data and synthesis of the information to provide valid conclusions. : Create, select and apply appropriate techniques, resources and modern engineering & IT tools including engineering activities with an understanding of the limitations. : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal & responsibilities relevant to the professional engineering practice. : Understand the impact of the professional engineering solutions in societal and environmental need for sustainable development. commit to professional ethics and responsibilities and norms effectively as an individual and as a member or : Communicate effectively on complex engineering activities with the engineering community and with society being able to comprehend and write effective reports and design documentation, : Demonstrate knowledge and understanding of the engineering and management principles and leader in a team to manage projects and in multidisciplinary : Recognize the need for and have the preparation and ability to engage in independent and life B.Tech .ARTIFICIAL INTELLIGENCE AND DATA SCIENCE solutions to real solutions to business to become entrepreneurs in fundamentals and an engineering engineering problems reaching sciences. engineering problems and design system components or consideration for the public health & safety and the cultural, societal and knowledge and research methods including design of conclusions. : Create, select and apply appropriate techniques, resources and modern engineering & IT tools including : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal & : Understand the impact of the professional engineering solutions in societal and environmental norms of the engineering practice. leader in diverse teams and in : Communicate effectively on complex engineering activities with the engineering community and with society make effective presentations and : Demonstrate knowledge and understanding of the engineering and management principles multidisciplinary environments. : Recognize the need for and have the preparation and ability to engage in independent and life -long learning PROGRAM SPECIFIC OUTCOMES PSO1: Graduates should be able to evolve AI based in several domains such as busine ss and governance PSO2: Graduates should be able to arrive and engineering problems PSO3: Graduates should be able to create, select with practical industrial tools and techniques Course Categories: SI.No Course Categories 1. AC 2. PC 3. PE 4. OE 5. EEC based efficient domain specific processes for effective decision governance domains. at actionable fore sight, Insight, hindsight from select and apply the theoretical knowledge of AI techniques to manage and solve wicked societal problems. Categories Expansion Allied Core Professional Core Professional Elective Open Elective Employability Enhancement Course decision making from data for solving business and Data Analytics along K. RAMAKRISHNAN AUTONOMOUS B. Tech- Artificial SEMESTER S. NO. COURSE CODE COURSE 1 20HS1101 Communicative English 2 20MA1101 Mathematics - I 3 20PH1101 Engineering Physics 4 20CY1101 Engineering Chemistry 5 20GE1101 Problem Solving and Fundamentals programming 6 20BE1104 Basic Electrical and Electronics Measurement Engineering 7 20BS1201 Physics and Chemistry 8 20GE1201 C programming Laboratory S. NO. COURSE CODE COURSE 1 20HS2102 Technical English 2 20MA2102 Mathematics - II 3 20PH2106 Physics For Information 4 20AI2101 Introduction To Artificial 5 20GE2102 Computational thinking 6 20GE2103 Engineering Graphics 7 20GE2202 Python Programming Lab 8 20GE2203 Engineering Practices Laboratory 9 20GE2601 Professional Skills – I S. NO. COURSE CODE COURSE 1 20MA3105 Transforms and Partial 2 20AI3101 Data Structures and Algorithms 3 20AI3401 Fundamentals of OS 4 20CS3102 Object Oriented Programming 5 20AI3102 Database Management 6 20AI3201 Data Structures and Algorithms 7 20CS3202 Object Oriented Programming 8 20AI3202 Database Management 9 20GE2602 Professional Skills – II \ RAMAKRISHNAN COLLEGE OF TECHNOLOGY AUTONOMOUS INSTITUTION Artificial Intelligence and Data Science REGULATIONS – 2020 I to VI SEMESTER CURRICULUM AND SYLLABUS SEMESTER - I COURSE TITLE CATEGORY L English AC 3 AC 3 AC 3 Chemistry AC 3 Fundamentals of C PC 3 Electronics and Engineering AC 3 Chemistry Laboratory AC 0 Laboratory PC 0 Total 18 SEMESTER – II COURSE TITLE CATEGORY L AC 3 AC 3 Information Science AC 3 Artificial Intelligence PC 3 thinking using Python PC 3 AC 2 Lab AC 0 Laboratory AC 0 AC 0 Total 17 SEMESTER-III COURSE TITLE CATEGORY L Partial Differential Equations AC 3 Algorithms PC 3 PC 3 Programming PC 3 Management Systems PC 3 Algorithms Laboratory PC 0 Programming Laboratory PC 0 Management systems Laboratory PC 0 II AC 0 Total 15 TECHNOLOGY Science SYLLABUS T P C 0 0 3 1 0 4 0 0 3 0 0 3 0 0 3 0 0 3 0 3 1.5 0 3 1.5 1 6 22 T P C 0 0 3 1 0 4 0 0 3 0 0 3 0 0 3 0 4 4 0 3 1.5 0 3 1.5 0 2 1 1 12 24 T P C 1 0 4 1 0 4 0 2 4 0 0 3 0 0 3 0 3 2 0 3 1.5 0 3 1.5 0 2 1 2 13 24 S. NO. COURSE CODE COURSE 1 20MA4109 Probability and Statistics 2 20AI4101 Computer Architecture 3 20AI4102 Foundations of Data Science 4 20AI4103 Data Warehousing and 5 20AI4402 Computer Networks 6 20GE2104 Environmental Science 7 20AI4201 Foundations of Data Science 8 20AI4202 Data Warehousing and 9 20GE2603 Professional Skills – III S. NO. COURSE CODE COURSE 1 20MA5111 Discrete Mathematics 2 20AI5101 Software Engineering 3 20AI5102 Internet Of Things 4 20AI5103 Machine Learning Techniques 5 20AI5403 Foundations of Cloud 6 Professional Elective I 7 20AI5201 Machine Learning Laboratory 8 20AI5202 Internet Of Things Laboratory 9 20GE2604 Professional Skills – IV S. NO. COURSE CODE COURSE 1 20AI6301 Text Analytics 2 20AI6101 Big data Analytics 3 20AI6102 Deep Learning 4 20AI6302 Natural Language Processing 5 Professional Elective II 6 Open Elective I 7 20HS5201 Professional Communication 8 20AI6201 Big Data Analytics Laboratory 9 20AI6202 Deep Learning Laboratory S. NO. COURSE CODE COURSE 1 20AI7101 Image and Video Analytics 2 20AI7102 Reinforcement Learning 3 20AI7103 Soft Computing 4 Open Elective II 5 Professional Elective III 6 20AI7201 Reinforcement Learning Laboratory 7 20AI7501 Mini Project SEMESTER-IV COURSE TITLE CATEGORY L Statistics AC 3 Computer Architecture PC 3 Science PC 3 and Data Mining PC 3 PC 3 Science and Engineering AC 3 Science Laboratory PC 0 and Data Mining Laboratory PC 0 III AC 0 Total 18 SEMESTER-V COURSE TITLE CATEGORY L AC 3 for Data Science PC 3 PC 3 Techniques PC 3 Computing Using AWS PC 3 PE 3 Laboratory PC 0 Laboratory PC 0 IV AC 0 Total 18 SEMESTER-VI COURSE TITLE CATEGORY L PC 3 PC 3 PC 3 Processing PC 3 II PE 3 PE 2 Communication AC 0 Laboratory PC 0 Laboratory PC 0 Total 17 SEMESTER-VII COURSE TITLE CATEGORY L Analytics PC 3 Reinforcement Learning PC 3 PC 3 OE 2 III PE 3 Reinforcement Learning Laboratory PC 0 PC 0 Total 14 T P C 1 0 4 0 0 3 0 0 3 0 0 3 0 2 4 0 0 3 0 3 1.5 0 3 1.5 0 2 1 1 10 24 T P C 1 0 4 0 0 3 0 0 3 0 0 3 0 1 4 0 0 3 0 3 1.5 0 3 1.5 0 2 1 1 9 24 T P C 0 0 3 0 0 3 0 0 3 0 1 4 0 0 3 0 0 2 0 2 1 0 3 1.5 0 3 1.5 0 9 22 T P C 0 1 4 0 0 3 0 0 3 0 0 2 0 0 3 0 3 1.5 0 3 1.5 0 7 18 S. NO. COURSE CODE COURSE 1 Professional Elective – 2 Open Elective –III 3 20AI8502 Project Work SEMESTER-VIII COURSE TITLE CATEGORY L – IV PE 3 OE 2 AC 0 Total 5 T P C 0 0 3 0 0 2 0 18 6 0 18 11 S. No. Course Code 1 20AI5901 Advanced Visualization 2 20AI5902 Advanced Python 3 20AI5903 Intelligent Information 4 20AI5904 Web and Social 5 20AI5905 Human And Intelligent S. No. Course Code 1 20AI6901 Statistics For 2 20AI6902 Health Care Analytics 3 20AI6903 Data Visualization 4 20AI6904 Business Intelligence 5 20AI6905 Business Data S. No. Course Code 1 20AI7906 Automata Theory 2 20AI7907 Mobile Application 3 20AI7908 Block Chain Fundamentals 4 20AI7909 Applied Cryptography 5 20AI7910 Networks And Wireless S. No. Course Code 1 20AI8901 Kernel Methods 2 20AI8902 Android And IoS 3 20AI8903 Computer Vision 4 20AI8904 Biomedical Image 5 20AI8905 High Performance 6 20AI8906 Human Computer V Semester Professional Electives (I) Subject Name L T Visualization Techniques For Data Science 3 0 Python For Data Science 3 0 Information Retrieval 3 0 Social Media Mining 3 0 Intelligent Systems 3 0 VI Semester Professional Electives (II) Subject Name L T For Business Analytics 3 0 Analytics 3 0 Visualization With Tableau 3 0 Intelligence 3 0 Data Analytics 3 0 VII Semester Professional Electives (III) Subject Name L T Theory 3 0 Application Development 3 0 Fundamentals 3 0 Cryptography 3 0 And Wireless Security 3 0 VIII Semester Professional Electives (IV) Subject Name L T Methods for Pattern Analysis 3 0 IoS Application Development 3 0 Vision 3 0 Image and Signal Processing 3 0 Performance Computing 3 0 Computer Interaction 3 0 T P C Cat 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE T P C Cat 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE T P C Cat 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE T P C Cat 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE 0 0 3 PE S. No. Course Code 1 20AI0901 Software Engineering 2 20AI0902 Digital Marketing 3 20AI0903 Software Project 4 20AI0904 Soft Computing 5 20AI0905 Internet Of Things 6 20AI0906 Cloud Computing 7 20CS3101 Data structures Using 8 20CS4102 Computer Networks 9 20CS4402 Operating Systems 10 20CS5102 Artificial Intelligence 11 20CS7101 Cloud Computing 12 20CS3401 Database Technology 13 20CE0901 Air pollution Control 14 20CE0902 Disaster management 15 20CE0903 Environment and 16 20CE0904 Green Construction 17 20CE0905 Climate change 18 20CE0906 Solid waste Management 19 20EE6801 Electrical engineering 20 20EE6802 Electric vehicles 21 20EE7801 Energy management 22 20EE7802 Nonconventional 23 20EE8801 Utilization of electrical 24 20EE8802 Electrical wiring 25 20EC6801 Electronics and 26 20EC6802 Robotics 27 20EC7801 Consumer electronics 28 20EC7802 Introduction to embedded 29 20EC8801 Advanced microcontrollers 30 20EC8802 Telecommunication 31 20ME6801 Nano Materials 32 20ME6802 Solar Energy Technologies 33 20ME7801 Design of Experiments 34 20ME7802 Fuel cell and Hydrogen 35 20ME8801 Waste Management and V, VII & VIII Semester LIST OF OPEN ELECTIVES Subject Name L T Engineering 2 0 Marketing 2 0 Project Management 2 0 Computing Techniques 2 0 Things 2 0 Computing Using AWS 2 0 structures Using C 2 0 Networks 2 0 Systems 2 0 Intelligence 2 0 Computing 2 0 Technology 2 0 Control Management 2 0 management 2 0 and Agriculture 2 0 Construction 2 0 and its Impact 2 0 Management 2 0 engineering safety measures and standards 2 0 vehicles 2 0 management and survey 2 0 Nonconventional energy systems 2 0 electrical energy 2 0 wiring estimation 2 0 microprocessor 2 0 2 0 electronics 2 0 embedded systems 2 0 microcontrollers 2 0 Telecommunication network management 2 0 and its Application 2 0 Technologies 2 0 Experiments 2 0 and Hydrogen Technology 2 0 Waste Management and Energy Recovery 2 0 P S C Cat 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 0 1 1 2 36 20ME8802 Ergonomics Sl.No SUBJECT AREA CREDITS I II III 1. AC 17.5 18 5 2. PC 4.5 6 19 3. PE 4. OE TOTAL 22 24 24 Acronyms: L - Lecture T - Tutorial P - Practical S - Self Learning C - Credits 2 0 CREDITS PER SEMESTER CREDIT TOTAL IV V VI VII VIII 8 5 1 6 60.5 16 16 16 13 90.5 3 5 3 11 2 5 7 24 24 22 18 11 169 0 1 1 2 CREDIT TOTAL PERCENTAGE % 35.8 53.6 6.5 4.1 100 20HS1101 COMMUNICATIVE Objective: To inculcate the basic reading and writing skills and make them to comprehend engineering and technology texts, guide learner develop their listening skills and enable them to participate in conversations, and listen to lectures and comprehend them by asking question, emphasize learners, develop vocabulary of a general kind by developing their UNIT 1 SHARING IDEAS & VIEWS Listening - Importance and Types - Differentiating Hearing and Listening conversations. Speaking - introducing oneself in the Interview Reading - Practice in skimming- scanning and predicting the content with the cross Writing - Sentence completion- – developing hints. Free writing (Hobbies, favourite place, S Language development - Parts of speech, Tenses Vocabulary development – Prefixes and Suffixes. UNIT 2 LEARNING THROUGH Listening - listening to dialogues or conversations and Speaking – Achieving confidence, clarity and Reading –Reading the Technical reports and Writing – Paragraph writing (Narrative, Analytical, Cause with the help of word links. Language development – Prepositions and Conjunctions Vocabulary development - Abbreviations and UNIT 3 GRAMMAR Listening - Watching videos /documentaries Speaking - Speaking about a simple process (example Reading - Critical reading - finding key information Writing - Writing short essays, Jumbled sentences, Language development – Active voice and Passive Vocabulary development – Single word substitutes. UNIT 4 READING Reading - Comprehension - reading longer texts Writing - Letter writing, Informal or Personal Listening - Listening to different accents (Example: Speaking - Speaking about one‘s friend- Role Language development Tenses - Connectives. Vocabulary development - Collocation. UNIT 5 UNDERSTANDING Reading - Interpreting visual materials (Bar chart, Writing - Developing an outline- identifying Listening - Listening and Responding to video Speaking - Short group conversations - Telephonic conversations. Language development - Embedded sentences. Vocabulary development - Homophones, Homonyms. Course Outcomes: 1. Read engineering and technology concepts 2. Participate effectively in informal conversations; English. 3. Comprehend conversations and short 4. Write short essays of a general kind COMMUNICATIVE ENGLISH To inculcate the basic reading and writing skills and make them to comprehend engineering and technology texts, guide learner enable them to participate in conversations, and listen to lectures and comprehend them by develop their speaking skills and speak fluently in real contexts their reading skills. VIEWS AMONG FAMILIES AND FRIENDS Differentiating Hearing and Listening - Listening to small talks short formal and informal Interview – exchanging personal information. scanning and predicting the content with the cross - cultural case studies. developing hints. Free writing (Hobbies, favourite place, S chool life). speech, Tenses (present, Past and Future), Articles. Suffixes. THROUGH CROSS CULTURAL CASE STUDIES listening to dialogues or conversations and completing exercises based on them. and fluency - speaking in the interview following etiquettes. and note taking on the cross-cultural case studies. Analytical, Cause and Effect and Compare and Contrast) Development Conjunctions in sentence, Purpose Statement. and Acronyms. GRAMMAR AND LANGUAGE DEVELOPMENT / Listening to various interviews and assessing them. Speaking about a simple process (example - Filling a form). information in a given case studies. Jumbled sentences, Definitions. Passive voice, Numerical Adjectives. substitutes. AND LANGUAGE DEVELOPMENT texts using stories and case studies. Personal letters-e-mails - conventions of personal email. (Example: British /American/Indian). Role play / Extempore. Connectives. UNDERSTANDING & EXPERIMENTING VISUAL ELEMENTS chart, Pie chart, Table, Flow chart). identifying main and subordinate ideas- dialogue writing- Auto biography video lectures –TED talks. Telephonic conversations. sentences. Homonyms. concepts and understand for better interpretation . conversations; introduce themselves and their friends and short talks delivered in English and personal letters and emails in English. L T P S C 3 0 0 1 3 To inculcate the basic reading and writing skills and make them to comprehend engineering and technology texts, guide learner s, enable them to participate in conversations, and listen to lectures and comprehend them by contexts and help learners develop 9 Listening to small talks short formal and informal cultural case studies. chool life). 9 etiquettes. Development of paragraph 9 9 9 biography writing. TOTAL PERIODS:45 and express opinions in Text Book: 1. Board of Editors. Using English - A Course Technologists, Hyderabad: Orient Black 2. Jack C. Richards. Interchange Students’ Reference Book: 1. Bailey, Stephen. Academic Writing: A 2. Means L. Thomas and Elaine Langlois. 3. Redston, Chris &Gillies Cunningham. Cambridge University Press, 2005. 4. Comfort Jeremy, Speaking Effectively: University Press, Reprint 2011. 5. Dutt P. Kiranmai and Rajeevan Geeta. 20MA1101 Objective: 1. To develop the use of matrix algebra 2. The goal of this course is for students to gain proficiency in calculus computations. In calculus, we use three main tools for analyzing and describing the behavior solve application problems in a variety UNIT 1 Eigenvalues and Eigenvectors of a real matrix Hamilton theorem – Diagonalization of matrices transformation – Nature of quadratic forms. UNIT 2 FUNCTIONS Partial differentiation – Homogeneous functions and Euler’s theorem Partial differentiation of implicit functions – Taylor’s two variables – Lagrange’s method of undetermined UNIT 3 INTEGRAL Definite integrals - Indefinite integrals – Properties of definite integrals function, Logarithmic function, Exponential UNIT 4 INTEGRAL Techniques of Integration - Integration by parts, functions by partial fraction, Integration of irrational UNIT 5 MULTIPLE Double integrals – Change of order of integration Triple integrals – Volume of solids – Change Course Outcomes: Upon completion of the course, students shall 1. Understand Eigenvalues and eigenvectors 2. Fluency in differentiation of several 3. Fluency in integration using standard 4. Evaluate integrals using techniques 5. Apply Integration to figure numerous change of order and change of variables. Text Book: 1. Grewal B.S., “ Higher Engineering Mathematics 2. James Stewart, “ Calculus, Early Transcendenta”l, Course book for Undergraduate Engineers and Black Swan Pvt. Limited, 2017. Students’ Book-2, New Delhi: CUP, 2015. A practical guide for students, New York: Rutledge,2011. Langlois. English & Communication for Colleges, USA: Language Face2Face (Pre-intermediate Student‘s Book & Workbook), Effectively: Developing Speaking Skills for Business English, Cambridge: Basic Communication Skills, Foundation Books, 2013 MATHEMATICS – I algebra techniques for practical applications. students to gain proficiency in calculus computations. In calculus, we use three main tools behavior of functions: limits, derivatives, and integrals. Students will variety of settings ranging from physics and biology to business MATRICES matrix – Characteristic equation – Properties of Eigenvalues of matrices – Reduction of a quadratic form to canonical form by orthogonal FUNCTIONS OF TWO VARIABLES Homogeneous functions and Euler’s theorem – Total derivative – Change of variables Taylor’s series for functions of two variables – Maxima undetermined multipliers. INTEGRAL CALCULUS-I Properties of definite integrals - Problems on properties - Substitution rule function and Trigonometric function. INTEGRAL CALCULUS-II parts, Trigonometric integrals, Trigonometric substitutions, irrational functions - Improper integrals. MULTIPLE INTEGRALS integration – Double integrals in polar coordinates – Area Change of variables in double integrals. shall have ability to eigenvectors of a matrix, and apply to diagonolise the matrix. several variables and apply to solve extremum values. standard methods, including the ability to find an appropriate of integration and determine convergence and divergence numerous integrals, area, volume, integrals in polar coordinates variables. Mathematics ” , Khanna Publishers, New Delhi, 44 rd Edition, Transcendenta”l, Cengage Learning, 9 th Edition, New Delhi, Rutledge,2011. Language Learning, 2007 Workbook), New Delhi: Cambridge: Cambridge 2013 L T P S C 3 1 0 1 4 students to gain proficiency in calculus computations. In calculus, we use three main tools integrals. Students will use these tools to business and economics. 12 Eigenvalues and Eigenvectors – Cayley - Reduction of a quadratic form to canonical form by orthogonal 12 Change of variables – Jacobians – Maxima and minima of functions of 12 Substitution rule – Algebraic 12 substitutions, Integration of rational 12 Area enclosed by plane curves – TOTAL PERIODS: 60 matrix. method for a given integral. divergence of improper integrals coordinates in adding together to Edition, 2018 Delhi, 2020 Reference Book: 1. Veerarajan T, “ Engineering Mathematics 2. Anton, H, Bivens, I and Davis, S,” Calculus”, 3. Jain R.K. and Iyengar S.R.K., “ Advanced Engineering Mathematics 2016. 4. Narayanan, S. and ManicavachagomPillai, Chennai, 7 th Edition , 2007. 5. Srimantha Pal and Bhunia, “Engineering 6. Weir, M.D and Joel Hass, “Thomas Mathematics I ” , Tata Mcgraw Hill Education Pvt. Calculus”, Wiley, 11th Edition, 2017. Advanced Engineering Mathematics ”, Narosa Publications, New Delhi, 5 ManicavachagomPillai, T. K., “ Calculus Volume I and II ”, S. Viswanathan “Engineering Mathematics ” ,S.C, Oxford University Press, 2015. Calculus ” , 12th Edition, Pearson India, 2016. Narosa Publications, New Delhi, 5 th Edition , Viswanathan Publishers Pvt. Ltd., 2015. 20PH1101 Objective: To understand the basic ideas various physics applications and provide knowledge UNIT 1 PROPERTIES Elasticity – Stress- strain diagram and its uses body -Torsional stress and deformations gyroscope - bending of beams- Bending moment bending: theory and experiment – I Suggested Reading Topics: Conservation UNIT 2 LASER Lasers: Introduction, Basic concepts (absorption, spontaneous emission and Stimulated emission) Einstein coefficients and their relations, Population principle and components of laser Applications of Laser in Industry, medicine Fiber Optics: Introduction, Basic acceptance cone and Numerical aperture guiding) - Attenuation - Advantages Suggested Reading Topics: He – Ne UNIT 3 OSCILLATIONS OSCILLATIONS: Periodic and Oscillatory and its solution – analogy between electrical and mechanical oscillating system differential equation and its solution coupled oscillator Waves: Introduction-one dimensional wave superposition of wave- two beam superposition Suggested Reading Topics: Equation UNIT 4 Transfer of heat energy – Maxwell Boltzmann law of distribution of velocities and ideal gas bimetallic strips – thermal conduction, convection and radiation conductivity - Forbes & Lee’s disc method: theory and experiment (series and parallel) – thermal insulation heaters Suggested Reading Topics: Fermion UNIT 5 Lattice – unit cell – Bravais lattices of number of atoms per unit cell – atomic radius HCP structures – Determination of Cubic crystal Structure by X solution, melt (Czochralski) and vapour Suggested Reading Topics: Characteristics Course Outcomes: Upon completion of the course, students 1. Gain knowledge on the basics 2. Applying knowledge in the 3. Understand the concept of oscillations 4. Adequate knowledge on the expansion joints and heat exchangers. 5. Analyze the different kind of ENGINEERING PHYSICS ideas in large number of engineering subjects, students provide knowledge in oscillations and waves. PROPERTIES OF MATTER strain diagram and its uses – factors affecting elastic modulus – rotational dynamics of rigid stress and deformations – twisting couple – torsional pendulum: theory and experiment Bending moment – cantilever: theory and experiment. Uniform and non shaped girders and its applications. Conservation of angular momentum and Kinetic energy of system LASER AND FIBER OPTICS Introduction, Basic concepts (absorption, spontaneous emission and Stimulated emission) Einstein Population inversion, Lasing action, - Characteristics principle and components of laser – CO 2 Laser - Semiconductor Laser ( Homojunction and Hetrojunction) medicine - Numerical Problems. Basic structure of optical fibre, Principle of optical fibre acceptance cone and Numerical aperture - Types of optical fibres (Based on Refractive index profile and Mode Advantages and disadvantages of Optical fibres – Endoscope – Sensors Ne Laser, Splicing and Double crucible method. OSCILLATIONS AND WAVES Oscillatory motion-Simple harmonic motion, differential analogy between electrical and mechanical oscillating system - damped oscillations: differential equation and its solution – forced oscillations: differential equation and its solution dimensional wave - standing sound waves - Equation of progressive wave superposition -problem Equation of motion and energy, Gravity THERMAL PHYSICS Maxwell Boltzmann law of distribution of velocities and ideal gas thermal conduction, convection and radiation – heat conductions in solids & Lee’s disc method: theory and experiment – conduction through compound media thermal insulation – applications: heat exchangers, refrigerators, ovens and solar water Fermion and Boson statistics CRYSTALLOGRAPHY lattices – lattice planes – Miller indices – “d” spacing in cubic atomic radius – coordination number – packing factor for SC, BCC, FCC and Determination of Cubic crystal Structure by X -ray Diffraction - Crystal growth techniques vapour growth techniques(qualitative) – crystal defects. Characteristics of SEM, TEM, STEM and EDAX TOTAL students shall have ability to, basics of properties of matter and its applications the areas of waves and fibre optic technique oscillations and waves the concepts of thermal properties of materials and their heat exchangers. of crystal structures and gain knowledge about crystal L T P S C 3 0 0 1 3 students develop the skills in 9 rotational dynamics of rigid torsional pendulum: theory and experiment – cantilever: theory and experiment. Uniform and non -uniform of system of particles 9 Introduction, Basic concepts (absorption, spontaneous emission and Stimulated emission) Einstein Characteristics of Lasers, Working Semiconductor Laser ( Homojunction and Hetrojunction) fibre - Acceptance angle, Types of optical fibres (Based on Refractive index profile and Mode Sensors and its types. 9 differential equations of S.H.M damped oscillations: forced oscillations: differential equation and its solution - resonance - progressive wave - 9 Maxwell Boltzmann law of distribution of velocities and ideal gas – expansion joints – heat conductions in solids – thermal conduction through compound media applications: heat exchangers, refrigerators, ovens and solar water 9 cubic lattice – calculation packing factor for SC, BCC, FCC and Crystal growth techniques - TOTAL PERIODS: 45 applications in growth Text Book: 1. Rajendran, Engineering Physics, 2. K. Tamilarasan, K. Prabu, 3. Charles Kittle, Introduction 4. M. N. Avadhanulu et al., 2005. Reference Books: 1. Frank Träge, Springer Handbook 2. Kleppner , Kolenkow, An introduction 3. Rajendran, A. Marikani, Physics 4. R.K.Gaur ,S.L.Gupta, Engineering Physics, Tata McGraw-Hill, New Delhi, 2011. Engineering Physics I, Tata McGraw-Hill, New Delhi, Introduction to Solid State Physics, Willey India Pvt.Ltd 2008, 7th A Textbook of Engineering Physics, S. Chand Company Handbook of Lasers and Optics, Springer, 2012 introduction to Mechanics, Tata McGraw-Hill, New Delhi,2011. Physics I, TMH, New Delhi, 2004. Engineering Physics, DhanpatRai Publishers, New Delhi, 2006 Delhi, 2011, 2nd edition. 7th Edition. Company Ltd., New Delhi, Delhi,2011. 2006 20CY1101 ENGINEERING Objective: To creating the knowledge about water materials among the students. UNIT 1 WATER Hardness – types and estimation by EDTA method (problems); Boiler feed water conditioning (Carbonate, Phosphate, Calgon, Colloidal, Sodium aluminate conditioning methods) demineralization process and Zeolite processes problems and Determination of chemical oxygen Self-Learning: WHO guideline and BIS guideline UNIT 2 NON CONVENTIONAL ENERGY Nuclear energy - Light water nuclear power plant Solar fuel batteries - Wind energy- . Batteries, fuel cells and Types of batteries primary battery (dry cell), secondary battery Construction, working and applications of H 2 - Self-Learning: Differences between battery and UNIT 3 FUELS Introduction, classification with examples, manufacture by Otto-Hoffmann method – Petroleum processing and fractions petrol – Fischer Tropsch and Bergius processes apparatus – theoretical air for combustion. Self-Learning: Advantages of Cleaner Energy. UNIT 4 ANALYTICAL Spectroscopy: Beer- Lambert’s law (problem) (problem) (block diagram only) – Applications. Computational Chemistry: Scope of computational chemistry, Overview of Computational chemistry and its applications to engineering field. Density Functional Theory (DFT): Molecular Orbital analysis (MO), UV and IR parameters using elementary (Examples: H 2 O and CO 2 molecules using Gaussian Self-Learning: Nobel Prize winners in computational UNIT 5 Basics - distinction between molecules, nanoparticles nano rod, nanotube (CNT) and nanowire. Synthesis: precipitation, thermolysis, hydrothermal, solvothermal, electrode position, chemical vapour deposition, laser ablation. Propertie Application of Nanomaterial: Electrical materials, nanoelectronics, energy storage, Photocatalytic degradation of methylene b dye with nanostructured TiO 2 , Dye- sensitized Self-Learning: Nanotechnology based water treatment Course Outcomes: On successful completion of the course, the students 1. Understand the basic principles of water domestic and industrial applications. 2. Have a thorough knowledge on batteries. 3. It will be useful for the students in their future work to be able to improve combustion equipment, raise energy utilization ratio, analyze the mechanism control and reduce harmful emission. 4. Understand the various laws and their 5. To analyze principles of recent trends Text Book: 1. Engineering Chemistry, Jain, P. C. and Monica Jain, Dhanpat Rai Publishing Company (P) Ltd., New Delhi, 2010." (2015). 2. Engineering Chemistry, DaraS. S.Umare 3. A Chemists’ Guide to Density Functional ENGINEERING CHEMISTRY water treatment, energy storage devices, fuel & combustion, spectroscopy and nano WATER TECHNOLOGY: EDTA method (problems); Boiler feed water – Prevention of boiler scales by internal conditioning (Carbonate, Phosphate, Calgon, Colloidal, Sodium aluminate conditioning methods) processes – desalination and reverse osmosis. Estimation of Dissolved Oxygen oxygen demand - numerical problems. guideline for drinking water. ENERGY SOURCES AND STORAGE DEVICES: Light water nuclear power plant - Breeder reactor - Thermal power plant, solar energy conversion . Batteries, fuel cells and Types of batteries – Construction, working and applications of: battery (Lead acid battery, Nickel Cadmium, Lithium - O 2 fuel cell. and a fuel cell FUELS AND COMBUSTION: calorific value– Coal – proximate and ultimate analysis Petroleum processing and fractions –– octane number and cetane number Fischer Tropsch and Bergius processes – CNG and LPG, Power Alcohol and Biodiesel, Flue gas analysis Energy. ANALYTICAL TECHNIQUES: Lambert’s law (problem) – UV-visible spectroscopy and IR spectroscopy – Applications. Scope of computational chemistry, Overview of Computational chemistry and its applications to engineering field. Density Functional Theory (DFT): Molecular Orbital analysis (MO), UV and IR parameters using elementary Gaussian 09). computational chemistry and their contributions to the field. NANO CHEMISTRY : distinction between molecules, nanoparticles and bulk materials; size- dependent properties. Nanoparticles: nano cluster, nano rod, nanotube (CNT) and nanowire. Synthesis: precipitation, thermolysis, hydrothermal, solvothermal, electrode position, chemical vapour deposition, laser ablation. Propertie s of Nanomaterials; physical, electrical, magnetic and optical properties Application of Nanomaterial: Electrical materials, nanoelectronics, energy storage, Photocatalytic degradation of methylene b sensitized solar Cells. treatment strategies students will be able to water quality parameters, their analysis and various water applications. batteries. It will be useful for the students in their future work to be able to improve combustion equipment, raise energy mechanism and formation of harmful emission, prevent abnormal harmful emission. their applications trends of nano materials & nanoparticals. and Monica Jain, Dhanpat Rai Publishing Company (P) Ltd., New Delhi, 2010." S.Umare S.S, S.Chand& Company Ltd. New Delhi,2015 Functional Theory, W. Koch & M. C. Holthausen, Wiley- VCH, 1 L T P S C 3 0 0 1 3 & combustion, spectroscopy and nano 9 Prevention of boiler scales by internal conditioning (Carbonate, Phosphate, Calgon, Colloidal, Sodium aluminate conditioning methods) – external conditioning – desalination and reverse osmosis. Estimation of Dissolved Oxygen -numerical DEVICES: 9 Thermal power plant, solar energy conversion - solar cells - Construction, working and applications of: Lithium - ion-battery) fuel cells – 9 analysis metallurgical coke – octane number and cetane number – synthetic CNG and LPG, Power Alcohol and Biodiesel, Flue gas analysis – Orsat 9 – principles – instrumentation Scope of computational chemistry, Overview of Computational chemistry and its applications to engineering field. Density Functional Theory (DFT): Molecular Orbital analysis (MO), UV and IR parameters using elementary 9 dependent properties. Nanoparticles: nano cluster, nano rod, nanotube (CNT) and nanowire. Synthesis: precipitation, thermolysis, hydrothermal, solvothermal, electrode position, s of Nanomaterials; physical, electrical, magnetic and optical properties - Application of Nanomaterial: Electrical materials, nanoelectronics, energy storage, Photocatalytic degradation of methylene b lue TOTAL PERIODS: 45 water treatment processes for It will be useful for the students in their future work to be able to improve combustion equipment, raise energy abnormal combustion phenomena, and Monica Jain, Dhanpat Rai Publishing Company (P) Ltd., New Delhi, 2010." VCH, 2001. Reference Book: 1. Corrosion Engineering, Mars G. Fontana, 2. Engineering Chemistry, B. K. Sharma, 3. Engineering Chemistry, B. Sivasankar, 4. Introduction to Computational Chemistry, Fontana, Tata McGraw Hill Publishing Company (P) Ltd., Sharma, Krishna Prakasan Media (P) Ltd., Meerut (2006). Sivasankar, Tata McGraw-Hill Pub. Co. Ltd, New Delhi (2008). Chemistry, Frank Jensen, third edition, Wiley, 2017. (P) Ltd., New Delhi (2009). (2008). 20GE1101 PROBLEM SOLVING Objective: 1. To develop problem solving and algorithmic 2. To develop C programs using arrays 3. To develop applications in C using functions 4. To develop applications in C using structures 5. To do input/output and file handling UNIT 1 PROBLEM SOLVING Overview – Problem definition, Logical reasoning: for summation of three numbers, To find the largest of three numbers, To print month name based on user choice. Flow Chart: Write Flowchart for summation of three numbers, To find the l choice. Algorithmic Thinking: What is an algorithm, How it differs from Pseudo code and Flowchart; Explain Pseudo code, Flowchart and Algorithm for Largest of three Illustrative programs: Developing algorithms prime numbers in given range, Towers of Hanoi. UNIT 2 FUNDAMENTALS Generation and Classification of Computers Conversion. C programming: Data Types – Storage classes program – Operators: Precedence and Associativity making statements - Switch statement - Looping Illustrative programs: Largest among 3 numbers, entered by users, Palindrome number, Fibonacci UNIT 3 Introduction to Arrays: Declaration, Initialization element- Two dimensional arrays – Example Program: Matrix Operations copy-String Operations with Char array. Illustrative programs: To find th e number of vowels, Consonants and digits and white space in a String, Matrix Multiplication, sort N numbers in ascending/descending order, UNIT 4 FUNCTIONS Introduction to functions: Function prototype, functions) – Recursion- Example Programs pointers – Example Program: Sorting of na Swapping of two numbers and changing the value Illustrative programs: sum of natural numbers array using pointers, swap numbers in the cyclic order UNIT 5 STRUCTURES, Structure - Nested structures – Pointer and Structures Self referential structures- Union- Example Program a file - Input/output operations on files - Types of file processing: Sequential access, Random Command line arguments. Illustrative programs: Store information of marks of n number of students and store them Course Outcomes: Upon completion of the course, students shall 1. Analyze simple algorithms, flowcharts, 2. Illustrate and implement applications 3. Develop and implement applications 4. Discover applications in C using structures 5. Design applications using sequential SOLVING AND FUNDAMENTALS OF C PROGRAMMING algorithmic thinking. arrays and strings functions and pointers st