<<<<<<< HEAD rgpv syllabus BTech Grading System 2nd Semester Microsoft Word - II sem CSBS Syllabus

CB201-Linear Algebra

Introduction to Matrices and Determinants Introduction to Matrices and Determinants; Solution of Linear Equations; Cramer's rule; Inverse of a Matrix.

Vectors and linear combinations Rank of a matrix; Gaussian elimination; LU Decomposition; Solving Systems of Linear Equations using the tools of Matrices.

Vector Space Vector space; Dimension; Basis; Orthogonality; Projections; Gram-Schmidt orthogonalization and QR decomposition.

Eigen Values and Eigen Vectors Eigenvalues and Eigenvectors; Positive definite matrices; Linear transformations; Hermitian and unitary matrices;

Singular Value Decomposition and Principal component analysis Introduction to their applications in Image Processing and Machine Learning.

Learning Resources

Higher Engineering Mathematics, B. S. Grewal.
Advanced Engineering Mathematics, 7th Edition, Peter V. O'Neil.
Advanced Engineering Mathematics, 2nd Edition, Michael. D. Greenberg.
Introduction to linear algebra, 5th Edition, Gilbert Strang.
Applied Mathematics (Vol. I & II) , by P. N. Wartikar& J. N. Wartikar.
Digital Image Processing, R C Gonzalez and R E Woods
https://medium.com/@jonathan_hui/machine-learning-singular-value-decompositionsvd- principal-component-analysis-pca-1d45e885e491
https://machinelearningmastery.com/introduction-matrices-machine-learning/
CB202-Statistical Methods
Linear Statistical Models: Simple linear regression & correlation, multiple regression & multiple correlation, Analysis of variance (one way, two way with as well as without interaction)
Estimation and Sufficient Statistic: Estimation: Point estimation, criteria for good estimates (un-biasedness, consistency), Methods of estimation including maximum likelihood estimation. Sufficient Statistic: Concept & examples, complete sufficiency, their application in estimation
Test of hypothesis: Concept & formulation, Type I and Type II errors, Neyman Pearson lemma, Procedures of testing,
Non-parametric Inference: Comparison with parametric inference, Use of order statistics. Sign test, Wilcoxon signed rank test, Mann-Whitney test, Run test, Kolmogorov-Smirnov test. Spearman‘s and Kendall‘s test. Tolerance region
Basics of Time Series Analysis & Forecasting: Stationary, ARIMA Models: Identification, Estimation and Forecasting.
R statistical programming language: Introduction to R, Functions, Control flow and Loops, Working with Vectors and Matrices, Reading in Data, Writing Data, Working with Data, Manipulating Data, Simulation, Linear model, Data Frame, Graphics in R
Learning Resources
1. I.R. Miller, J.E. Freund and R. Johnson, “Probability and Statistics for Engineers” 9th Edition, Pearson.
2. A. Goon, M. Gupta and B. Dasgupta, ―Fundamentals of Statistics, vol. I &
  II, World Press.
3. Chris Chatfield, “The Analysis of Time Series: An Introduction, 6th edition, Chapman and Hall/CRC.
4. D.C. Montgomery &E.Peck, “Introduction to Linear Regression Analysis”, 5th edition, Wiley.
5. A.M. Mood, F.A. Graybill& D.C. Boes, ―Introduction to the Theory of
  Statistics, 3rd edition, McGraw Hill.
6. N. Draper & H. Smith, “Applied Regression Analysis‖, 3rd edition, Wiley.
7. Garrett Grolemund, “Hands-on Programming with R”, 1st edition, O′Reilly. Jared P. Lander, “R for Everyone: Advanced Analytics and Graphics”, 2nd edition, Addison-Wesley Professional.

CB203-Data Structures and Algorithms

Basic Terminologies &Introduction to Algorithm and Data Organisation: Algorithm specification, Recursion, Performance analysis, Asymptotic Notation - The Big-O, Omega and Theta notation, Programming Style, Refinement of Coding - Time-Space Trade Off, Testing, Data Abstraction

Linear Data Structure: Dynamic memory allocation,Array, Stack, Queue, Linked-list and its types, Various Representations, Operations & Applications of Linear Data Structures

Non-linear Data Structure: Trees (Binary Tree, Threaded Binary Tree, Binary Search Tree, B & B+ Tree, AVL Tree, Splay Tree) , Priority queue as heap, Graphs (Directed, Undirected), Various Representations, Operations (search and traversal algorithms and complexity analysis) & Applications of Non-Linear Data Structures

Searching and Sorting on Various Data Structures: Sequential Search, Binary Search, Breadth First Search, Depth First Search, Insertion Sort, Selection Sort, Shell Sort, Divide and Conquer Sort, Merge Sort, Quick Sort, Heap Sort, Introduction to Hashing

File: Organisation (Sequential, Direct, Indexed Sequential, Hashed) and various types of accessing schemes.

Learning Resources

E. Horowitz and S. Sahni, Fundamentals of Data Structures , Computer Science Press, 1977.
AlfredV.Aho, John E.Hopperoft, Jeffrey D.UIlman, Data Structures and Algorithms, Pearson Education, 2002.
Donald E. Knuth,The Art of Computer Programming: Volume 1: Fundamental Algorithms, Donald E. Knuth,3rd edition,Pearson Education.
Charles E. Leiserson, Thomas H. Cormen, Ronald L. Rivest, Clifford Stein, Introduction to Algorithms, Third edition, PHI, 2010.
Pat Morin,Open Data Structures: An Introduction (Open Paths to Enriched Learning), 31st ed. Edition , AU Press,2013

CB204-Principles of Electronics

Semiconductors: Crystalline material: Mechanical properties, Energy band theory, Fermi levels; Conductors, Semiconductors and Insulators: electrical properties, band diagrams. Semiconductors: intrinsic and extrinsic, energy band diagram, P-type and N-type semiconductors, drift and diffusion carriers.

Diodes and Diode Circuits: Formation of P-N junction, energy band diagram, built-in- potential forward and reverse biased P-N junction, formation of depletion zone, V-I characteristics, Zener breakdown, Avalanche breakdown and its reverse characteristics; Junction capacitance and Varactor diode. Simple diode circuits, load line, linear piecewise model; Rectifier circuits: half wave, full wave, PIV, DC voltage and current, ripple factor, efficiency, idea of regulation

Bipolar Junction Transistors: Formation of PNP / NPN junctions, energy band diagram; transistor mechanism and principle of transistors, CE, CB, CC configuration, transistor characteristics: cut-off active and saturation mode, transistor action, injection efficiency, base transport factor and current amplification factors for CB and CE modes. Biasing and Bias stability: calculation of stability factor

Field Effect Transistors: Concept of Field Effect Transistors (channel width modulation), Gate isolation types, JFET Structure and characteristics, MOSFET Structure and characteristics, depletion and enhancement type; CS, CG, CD configurations; CMOS: Basic Principles

Feed Back Amplifier, Oscillators and Operational Amplifiers: Concept (Block diagram), properties, positive and negative feedback, loop gain, open loop gain, feedback factors; topologies of feedback amplifier; effect of feedback on gain, output impedance, input impedance, sensitivities (qualitative), bandwidth stability; effect of positive feedback: instability and oscillation, condition of oscillation, Barkhausen criteria. Introduction to integrated circuits, operational amplified and its terminal properties; Application of operational amplifier; inverting and non-inverting mode of operation, Adders, Subtractors, Constant-gain multiplier, Voltage follower, Comparator, Integrator, Differentiator

Digital Electronics: Introduction to binary number; Basic Boolean algebra; Logic gates and function realization with OPAMPs

Learning Resources

Adel S. Sedra and Kenneth C. Smith, ―Microelectronic Circuits: Theory and Application‖,
7th Edition, Oxford University Press, 2017.
Jacob millman, christoshalkiaschetanparikh,"Millman's Integrated Electronics "McGraw Hill education (India) private limited, 2009
M. Morris Mano," Digital Logic & Computer Design" Pearson India Educational Services PvT. Limited, 2016
Robert L. Boylestad, Louis Nashelsky,"Electronic Devices and Circuit Theory", Pearson India Educational Services PvT. Limited, 2015
Ben Streetman, Sanjay Banerjee," Solid State Electronic Devices",6th Edition, Prentice Hall of India, 2005
NPTEL online Course on ―Fundamentals of Semiconductor devices, Course Link:
https://onlinecourses.nptel.ac.in/noc19_ee04/
https://www.electronics-tutorials.ws/ 8. https://circuitverse.org/

CB205-Fundamentals of Economics

Introduction to Microeconomics: The themes of microeconomics, Elasticity of Supply, Elasticity of Demand, Microeconomics versus Macroeconomics, Behavior of firm and House hold.

Principles of Demand and Supply: Supply Curves of Firms — Demand Curves of Households; Equilibrium and Comparative Statics (Shift of a Curve and Movement along the Curve); Welfare Analysis — Consumers ‘andProducers’ Surplus — Price Ceilings and Price Floors.

Consumer Behaviour: Axioms of Choice — Budget Constraints and Indifference Curves; Consumer‘s Equilibrium — Effects of a Price Change, Income and Substitution Effects — Derivation of a Demand Curve; Applications — Tax and Subsidies — Intertemporal Consumption — Suppliers’ Income Effect.

Theory of Production: Production Function and Iso-quants — Cost Minimization; Cost Curves — Total, Average and Marginal Costs — Long Run and Short Run Costs; Equilibrium of a Firm under Perfect Competition; Monopoly and Monopolistic Competition.

Introduction to Macroeconomics: National Income and its Components — GNP, NNP, GDP, NDP; Consumption Function; Investment; Simple Keynesian Model of Income Determination and the Keynesian Multiplier; Government Sector — Taxes and Subsidies.

Monetary Policy: External Sector — Exports and Imports; Money — Definitions; Demand for Money —Transactionary and Speculative Demand; Supply of Money — Bank‘s Credit Creation Multiplier; Integrating Money and Commodity Markets — IS, LM Model; Business Cycles and Stabilization — Monetary and Fiscal Policy — Central Bank and the Government; The Classical Paradigm — Price and Wage Rigidities — Voluntary and Involuntary Unemployment.

Learning Resources

Pindyck, Robert S., and Daniel L. Rubinfeld, ―Microeconomics, 8th Edition, The Pearson
Education, Inc., 2013.
Dornbusch, Fischer and Startz, ―Macroeconomics, 13th Edition, McGraw Hill, 2018.
Paul Anthony Samuelson, William D. Nordhaus, ―Economics, 19th Edition, McGraw Hill
International Edition, 2009.
https://data.oecd.org/economy.htm
https://www.focus-economics.com
https://www.rbi.org.in
CB206- Business Communication and Value Science - II
Essential Grammar – II: Application of tenses, Auxiliaries- correct usage and importance in formal communication, Business Vocabulary - Vocabulary exercises through web-based applications
Written Communication II: Email writing- Formal and Informal email writing structure, Inquiry letters, Instruction letters, complaint letters, Routine business letters, Sales Letters etc. Technical writing, Essay writing, Paragraph writing.
Vocabulary- II: Vocabulary exercises through web-based applications, Usage and application through mock meetings Situational Conversation: Application of grammar and correct spoken English according to context/ situation and application in business scenario.
Fundamentals of Effective Communication: Public Speaking: fundamentals of effective public speaking, types- Extempore speech, manuscript speech, and ways to enhance public speaking skills, storytelling, oral review Presentation Skills: PowerPoint presentations, Effective ways to structure the presentation, importance of body language Leadership Skills, Leader’s Role, Responsibilities And Skill Required: Understanding good Leadership behaviours, Learning the difference between Leadership and Management, Gaining insight into your Patterns, Beliefs and Rules, Defining Qualities and Strengths of leadership, Determining how well you perceive what's going on around you, interpersonal Skills and Communication Skills, Learning about Commitment and How to Move Things Forward, Making Key Decisions, Handling Your and Other People's Stress, Empowering, Motivating and Inspiring Others, Leading by example, effective feedback. Problem Solving Skill: Problem solving skill, Confidence building
Corporate / Business Etiquettes: Corporate grooming & dressing, etiquettes in social & office Setting-Understand the importance of professional behaviour at the work place, Understand and Implement etiquettes in workplace, presenting oneself with finesse and making others comfortable in a business setting. Importance of first impression, Grooming, Wardrobe, Introduction to Ethics in engineering and ethical reasoning, rights and responsibilities
Diversity and Inclusion Part 2: Socio-Cultural and Cross-Cultural Sensitivities at the Workplace: PwD and LGBT at the workplace, Learning disabilities at the workplace; Caste, class, regionalism, religion and poverty: the different identities of Indian employees and employers and how to include everyone; Global diversity identities of race, religion, nationhood; Appropriate Social Media Use Values Sciences Part 2: Values of a good manager: Ethics in Business; Embodying organizational pride with grace
Learning Resources
1. Business Communication Today by Bovee, Thill, Raina
2. APAART: Speak Well 1 (English Language and Communication)
3. APAART: Speak Well 2 (Soft Skills)
4. Strategic Communication by Charles Marsh
5. English vocabulary in use – Alan Mc’carthy and O’dell
6. Business Communication – Dr.SarojHiremath

======= rgpv syllabus BTech Grading System 2nd Semester Microsoft Word - II sem CSBS Syllabus

CB201-Linear Algebra

Introduction to Matrices and Determinants Introduction to Matrices and Determinants; Solution of Linear Equations; Cramer's rule; Inverse of a Matrix.

Vectors and linear combinations Rank of a matrix; Gaussian elimination; LU Decomposition; Solving Systems of Linear Equations using the tools of Matrices.

Vector Space Vector space; Dimension; Basis; Orthogonality; Projections; Gram-Schmidt orthogonalization and QR decomposition.

Eigen Values and Eigen Vectors Eigenvalues and Eigenvectors; Positive definite matrices; Linear transformations; Hermitian and unitary matrices;

Singular Value Decomposition and Principal component analysis Introduction to their applications in Image Processing and Machine Learning.

Learning Resources

Higher Engineering Mathematics, B. S. Grewal.
Advanced Engineering Mathematics, 7th Edition, Peter V. O'Neil.
Advanced Engineering Mathematics, 2nd Edition, Michael. D. Greenberg.
Introduction to linear algebra, 5th Edition, Gilbert Strang.
Applied Mathematics (Vol. I & II) , by P. N. Wartikar& J. N. Wartikar.
Digital Image Processing, R C Gonzalez and R E Woods
https://medium.com/@jonathan_hui/machine-learning-singular-value-decompositionsvd- principal-component-analysis-pca-1d45e885e491
https://machinelearningmastery.com/introduction-matrices-machine-learning/
CB202-Statistical Methods
Linear Statistical Models: Simple linear regression & correlation, multiple regression & multiple correlation, Analysis of variance (one way, two way with as well as without interaction)
Estimation and Sufficient Statistic: Estimation: Point estimation, criteria for good estimates (un-biasedness, consistency), Methods of estimation including maximum likelihood estimation. Sufficient Statistic: Concept & examples, complete sufficiency, their application in estimation
Test of hypothesis: Concept & formulation, Type I and Type II errors, Neyman Pearson lemma, Procedures of testing,
Non-parametric Inference: Comparison with parametric inference, Use of order statistics. Sign test, Wilcoxon signed rank test, Mann-Whitney test, Run test, Kolmogorov-Smirnov test. Spearman‘s and Kendall‘s test. Tolerance region
Basics of Time Series Analysis & Forecasting: Stationary, ARIMA Models: Identification, Estimation and Forecasting.
R statistical programming language: Introduction to R, Functions, Control flow and Loops, Working with Vectors and Matrices, Reading in Data, Writing Data, Working with Data, Manipulating Data, Simulation, Linear model, Data Frame, Graphics in R
Learning Resources
1. I.R. Miller, J.E. Freund and R. Johnson, “Probability and Statistics for Engineers” 9th Edition, Pearson.
2. A. Goon, M. Gupta and B. Dasgupta, ―Fundamentals of Statistics, vol. I &
  II, World Press.
3. Chris Chatfield, “The Analysis of Time Series: An Introduction, 6th edition, Chapman and Hall/CRC.
4. D.C. Montgomery &E.Peck, “Introduction to Linear Regression Analysis”, 5th edition, Wiley.
5. A.M. Mood, F.A. Graybill& D.C. Boes, ―Introduction to the Theory of
  Statistics, 3rd edition, McGraw Hill.
6. N. Draper & H. Smith, “Applied Regression Analysis‖, 3rd edition, Wiley.
7. Garrett Grolemund, “Hands-on Programming with R”, 1st edition, O′Reilly. Jared P. Lander, “R for Everyone: Advanced Analytics and Graphics”, 2nd edition, Addison-Wesley Professional.

CB203-Data Structures and Algorithms

Basic Terminologies &Introduction to Algorithm and Data Organisation: Algorithm specification, Recursion, Performance analysis, Asymptotic Notation - The Big-O, Omega and Theta notation, Programming Style, Refinement of Coding - Time-Space Trade Off, Testing, Data Abstraction

Linear Data Structure: Dynamic memory allocation,Array, Stack, Queue, Linked-list and its types, Various Representations, Operations & Applications of Linear Data Structures

Non-linear Data Structure: Trees (Binary Tree, Threaded Binary Tree, Binary Search Tree, B & B+ Tree, AVL Tree, Splay Tree) , Priority queue as heap, Graphs (Directed, Undirected), Various Representations, Operations (search and traversal algorithms and complexity analysis) & Applications of Non-Linear Data Structures

Searching and Sorting on Various Data Structures: Sequential Search, Binary Search, Breadth First Search, Depth First Search, Insertion Sort, Selection Sort, Shell Sort, Divide and Conquer Sort, Merge Sort, Quick Sort, Heap Sort, Introduction to Hashing

File: Organisation (Sequential, Direct, Indexed Sequential, Hashed) and various types of accessing schemes.

Learning Resources

E. Horowitz and S. Sahni, Fundamentals of Data Structures , Computer Science Press, 1977.
AlfredV.Aho, John E.Hopperoft, Jeffrey D.UIlman, Data Structures and Algorithms, Pearson Education, 2002.
Donald E. Knuth,The Art of Computer Programming: Volume 1: Fundamental Algorithms, Donald E. Knuth,3rd edition,Pearson Education.
Charles E. Leiserson, Thomas H. Cormen, Ronald L. Rivest, Clifford Stein, Introduction to Algorithms, Third edition, PHI, 2010.
Pat Morin,Open Data Structures: An Introduction (Open Paths to Enriched Learning), 31st ed. Edition , AU Press,2013

CB204-Principles of Electronics

Semiconductors: Crystalline material: Mechanical properties, Energy band theory, Fermi levels; Conductors, Semiconductors and Insulators: electrical properties, band diagrams. Semiconductors: intrinsic and extrinsic, energy band diagram, P-type and N-type semiconductors, drift and diffusion carriers.

Diodes and Diode Circuits: Formation of P-N junction, energy band diagram, built-in- potential forward and reverse biased P-N junction, formation of depletion zone, V-I characteristics, Zener breakdown, Avalanche breakdown and its reverse characteristics; Junction capacitance and Varactor diode. Simple diode circuits, load line, linear piecewise model; Rectifier circuits: half wave, full wave, PIV, DC voltage and current, ripple factor, efficiency, idea of regulation

Bipolar Junction Transistors: Formation of PNP / NPN junctions, energy band diagram; transistor mechanism and principle of transistors, CE, CB, CC configuration, transistor characteristics: cut-off active and saturation mode, transistor action, injection efficiency, base transport factor and current amplification factors for CB and CE modes. Biasing and Bias stability: calculation of stability factor

Field Effect Transistors: Concept of Field Effect Transistors (channel width modulation), Gate isolation types, JFET Structure and characteristics, MOSFET Structure and characteristics, depletion and enhancement type; CS, CG, CD configurations; CMOS: Basic Principles

Feed Back Amplifier, Oscillators and Operational Amplifiers: Concept (Block diagram), properties, positive and negative feedback, loop gain, open loop gain, feedback factors; topologies of feedback amplifier; effect of feedback on gain, output impedance, input impedance, sensitivities (qualitative), bandwidth stability; effect of positive feedback: instability and oscillation, condition of oscillation, Barkhausen criteria. Introduction to integrated circuits, operational amplified and its terminal properties; Application of operational amplifier; inverting and non-inverting mode of operation, Adders, Subtractors, Constant-gain multiplier, Voltage follower, Comparator, Integrator, Differentiator

Digital Electronics: Introduction to binary number; Basic Boolean algebra; Logic gates and function realization with OPAMPs

Learning Resources

Adel S. Sedra and Kenneth C. Smith, ―Microelectronic Circuits: Theory and Application‖,
7th Edition, Oxford University Press, 2017.
Jacob millman, christoshalkiaschetanparikh,"Millman's Integrated Electronics "McGraw Hill education (India) private limited, 2009
M. Morris Mano," Digital Logic & Computer Design" Pearson India Educational Services PvT. Limited, 2016
Robert L. Boylestad, Louis Nashelsky,"Electronic Devices and Circuit Theory", Pearson India Educational Services PvT. Limited, 2015
Ben Streetman, Sanjay Banerjee," Solid State Electronic Devices",6th Edition, Prentice Hall of India, 2005
NPTEL online Course on ―Fundamentals of Semiconductor devices, Course Link:
https://onlinecourses.nptel.ac.in/noc19_ee04/
https://www.electronics-tutorials.ws/ 8. https://circuitverse.org/

CB205-Fundamentals of Economics

Introduction to Microeconomics: The themes of microeconomics, Elasticity of Supply, Elasticity of Demand, Microeconomics versus Macroeconomics, Behavior of firm and House hold.

Principles of Demand and Supply: Supply Curves of Firms — Demand Curves of Households; Equilibrium and Comparative Statics (Shift of a Curve and Movement along the Curve); Welfare Analysis — Consumers ‘andProducers’ Surplus — Price Ceilings and Price Floors.

Consumer Behaviour: Axioms of Choice — Budget Constraints and Indifference Curves; Consumer‘s Equilibrium — Effects of a Price Change, Income and Substitution Effects — Derivation of a Demand Curve; Applications — Tax and Subsidies — Intertemporal Consumption — Suppliers’ Income Effect.

Theory of Production: Production Function and Iso-quants — Cost Minimization; Cost Curves — Total, Average and Marginal Costs — Long Run and Short Run Costs; Equilibrium of a Firm under Perfect Competition; Monopoly and Monopolistic Competition.

Introduction to Macroeconomics: National Income and its Components — GNP, NNP, GDP, NDP; Consumption Function; Investment; Simple Keynesian Model of Income Determination and the Keynesian Multiplier; Government Sector — Taxes and Subsidies.

Monetary Policy: External Sector — Exports and Imports; Money — Definitions; Demand for Money —Transactionary and Speculative Demand; Supply of Money — Bank‘s Credit Creation Multiplier; Integrating Money and Commodity Markets — IS, LM Model; Business Cycles and Stabilization — Monetary and Fiscal Policy — Central Bank and the Government; The Classical Paradigm — Price and Wage Rigidities — Voluntary and Involuntary Unemployment.

Learning Resources

Pindyck, Robert S., and Daniel L. Rubinfeld, ―Microeconomics, 8th Edition, The Pearson
Education, Inc., 2013.
Dornbusch, Fischer and Startz, ―Macroeconomics, 13th Edition, McGraw Hill, 2018.
Paul Anthony Samuelson, William D. Nordhaus, ―Economics, 19th Edition, McGraw Hill
International Edition, 2009.
https://data.oecd.org/economy.htm
https://www.focus-economics.com
https://www.rbi.org.in
CB206- Business Communication and Value Science - II
Essential Grammar – II: Application of tenses, Auxiliaries- correct usage and importance in formal communication, Business Vocabulary - Vocabulary exercises through web-based applications
Written Communication II: Email writing- Formal and Informal email writing structure, Inquiry letters, Instruction letters, complaint letters, Routine business letters, Sales Letters etc. Technical writing, Essay writing, Paragraph writing.
Vocabulary- II: Vocabulary exercises through web-based applications, Usage and application through mock meetings Situational Conversation: Application of grammar and correct spoken English according to context/ situation and application in business scenario.
Fundamentals of Effective Communication: Public Speaking: fundamentals of effective public speaking, types- Extempore speech, manuscript speech, and ways to enhance public speaking skills, storytelling, oral review Presentation Skills: PowerPoint presentations, Effective ways to structure the presentation, importance of body language Leadership Skills, Leader’s Role, Responsibilities And Skill Required: Understanding good Leadership behaviours, Learning the difference between Leadership and Management, Gaining insight into your Patterns, Beliefs and Rules, Defining Qualities and Strengths of leadership, Determining how well you perceive what's going on around you, interpersonal Skills and Communication Skills, Learning about Commitment and How to Move Things Forward, Making Key Decisions, Handling Your and Other People's Stress, Empowering, Motivating and Inspiring Others, Leading by example, effective feedback. Problem Solving Skill: Problem solving skill, Confidence building
Corporate / Business Etiquettes: Corporate grooming & dressing, etiquettes in social & office Setting-Understand the importance of professional behaviour at the work place, Understand and Implement etiquettes in workplace, presenting oneself with finesse and making others comfortable in a business setting. Importance of first impression, Grooming, Wardrobe, Introduction to Ethics in engineering and ethical reasoning, rights and responsibilities
Diversity and Inclusion Part 2: Socio-Cultural and Cross-Cultural Sensitivities at the Workplace: PwD and LGBT at the workplace, Learning disabilities at the workplace; Caste, class, regionalism, religion and poverty: the different identities of Indian employees and employers and how to include everyone; Global diversity identities of race, religion, nationhood; Appropriate Social Media Use Values Sciences Part 2: Values of a good manager: Ethics in Business; Embodying organizational pride with grace
Learning Resources
1. Business Communication Today by Bovee, Thill, Raina
2. APAART: Speak Well 1 (English Language and Communication)
3. APAART: Speak Well 2 (Soft Skills)
4. Strategic Communication by Charles Marsh
5. English vocabulary in use – Alan Mc’carthy and O’dell
6. Business Communication – Dr.SarojHiremath

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CB201-Linear Algebra

Introduction to Matrices and Determinants Introduction to Matrices and Determinants; Solution of Linear Equations; Cramer's rule; Inverse of a Matrix.

Vectors and linear combinations Rank of a matrix; Gaussian elimination; LU Decomposition; Solving Systems of Linear Equations using the tools of Matrices.

Vector Space Vector space; Dimension; Basis; Orthogonality; Projections; Gram-Schmidt orthogonalization and QR decomposition.

Eigen Values and Eigen Vectors Eigenvalues and Eigenvectors; Positive definite matrices; Linear transformations; Hermitian and unitary matrices;

Singular Value Decomposition and Principal component analysis Introduction to their applications in Image Processing and Machine Learning.

CB202-Statistical Methods

Linear Statistical Models: Simple linear regression & correlation, multiple regression & multiple correlation, Analysis of variance (one way, two way with as well as without interaction)

Estimation and Sufficient Statistic: Estimation: Point estimation, criteria for good estimates (un-biasedness, consistency), Methods of estimation including maximum likelihood estimation. Sufficient Statistic: Concept & examples, complete sufficiency, their application in estimation

Test of hypothesis: Concept & formulation, Type I and Type II errors, Neyman Pearson lemma, Procedures of testing,

Non-parametric Inference: Comparison with parametric inference, Use of order statistics. Sign test, Wilcoxon signed rank test, Mann-Whitney test, Run test, Kolmogorov-Smirnov test. Spearman‘s and Kendall‘s test. Tolerance region

Basics of Time Series Analysis & Forecasting: Stationary, ARIMA Models: Identification, Estimation and Forecasting.

R statistical programming language: Introduction to R, Functions, Control flow and Loops, Working with Vectors and Matrices, Reading in Data, Writing Data, Working with Data, Manipulating Data, Simulation, Linear model, Data Frame, Graphics in R

CB203-Data Structures and Algorithms

Basic Terminologies &Introduction to Algorithm and Data Organisation: Algorithm specification, Recursion, Performance analysis, Asymptotic Notation - The Big-O, Omega and Theta notation, Programming Style, Refinement of Coding - Time-Space Trade Off, Testing, Data Abstraction

Linear Data Structure: Dynamic memory allocation,Array, Stack, Queue, Linked-list and its types, Various Representations, Operations & Applications of Linear Data Structures

Searching and Sorting on Various Data Structures: Sequential Search, Binary Search, Breadth First Search, Depth First Search, Insertion Sort, Selection Sort, Shell Sort, Divide and Conquer Sort, Merge Sort, Quick Sort, Heap Sort, Introduction to Hashing

File: Organisation (Sequential, Direct, Indexed Sequential, Hashed) and various types of accessing schemes.

CB204-Principles of Electronics

Field Effect Transistors: Concept of Field Effect Transistors (channel width modulation), Gate isolation types, JFET Structure and characteristics, MOSFET Structure and characteristics, depletion and enhancement type; CS, CG, CD configurations; CMOS: Basic Principles

Digital Electronics: Introduction to binary number; Basic Boolean algebra; Logic gates and function realization with OPAMPs

CB205-Fundamentals of Economics

Introduction to Microeconomics: The themes of microeconomics, Elasticity of Supply, Elasticity of Demand, Microeconomics versus Macroeconomics, Behavior of firm and House hold.

Principles of Demand and Supply: Supply Curves of Firms — Demand Curves of Households; Equilibrium and Comparative Statics (Shift of a Curve and Movement along the Curve); Welfare Analysis — Consumers ‘andProducers’ Surplus — Price Ceilings and Price Floors.

Theory of Production: Production Function and Iso-quants — Cost Minimization; Cost Curves — Total, Average and Marginal Costs — Long Run and Short Run Costs; Equilibrium of a Firm under Perfect Competition; Monopoly and Monopolistic Competition.

Introduction to Macroeconomics: National Income and its Components — GNP, NNP, GDP, NDP; Consumption Function; Investment; Simple Keynesian Model of Income Determination and the Keynesian Multiplier; Government Sector — Taxes and Subsidies.

CB206- Business Communication and Value Science - II

Essential Grammar – II: Application of tenses, Auxiliaries- correct usage and importance in formal communication, Business Vocabulary - Vocabulary exercises through web-based applications

Written Communication II: Email writing- Formal and Informal email writing structure, Inquiry letters, Instruction letters, complaint letters, Routine business letters, Sales Letters etc. Technical writing, Essay writing, Paragraph writing.

Vocabulary- II: Vocabulary exercises through web-based applications, Usage and application through mock meetings Situational Conversation: Application of grammar and correct spoken English according to context/ situation and application in business scenario.

CB201-Linear Algebra

Introduction to Matrices and Determinants Introduction to Matrices and Determinants; Solution of Linear Equations; Cramer's rule; Inverse of a Matrix.

Vectors and linear combinations Rank of a matrix; Gaussian elimination; LU Decomposition; Solving Systems of Linear Equations using the tools of Matrices.

Vector Space Vector space; Dimension; Basis; Orthogonality; Projections; Gram-Schmidt orthogonalization and QR decomposition.

Eigen Values and Eigen Vectors Eigenvalues and Eigenvectors; Positive definite matrices; Linear transformations; Hermitian and unitary matrices;

Singular Value Decomposition and Principal component analysis Introduction to their applications in Image Processing and Machine Learning.

CB202-Statistical Methods

Linear Statistical Models: Simple linear regression & correlation, multiple regression & multiple correlation, Analysis of variance (one way, two way with as well as without interaction)

Estimation and Sufficient Statistic: Estimation: Point estimation, criteria for good estimates (un-biasedness, consistency), Methods of estimation including maximum likelihood estimation. Sufficient Statistic: Concept & examples, complete sufficiency, their application in estimation

Test of hypothesis: Concept & formulation, Type I and Type II errors, Neyman Pearson lemma, Procedures of testing,

Non-parametric Inference: Comparison with parametric inference, Use of order statistics. Sign test, Wilcoxon signed rank test, Mann-Whitney test, Run test, Kolmogorov-Smirnov test. Spearman‘s and Kendall‘s test. Tolerance region

Basics of Time Series Analysis & Forecasting: Stationary, ARIMA Models: Identification, Estimation and Forecasting.

R statistical programming language: Introduction to R, Functions, Control flow and Loops, Working with Vectors and Matrices, Reading in Data, Writing Data, Working with Data, Manipulating Data, Simulation, Linear model, Data Frame, Graphics in R

CB203-Data Structures and Algorithms

Basic Terminologies &Introduction to Algorithm and Data Organisation: Algorithm specification, Recursion, Performance analysis, Asymptotic Notation - The Big-O, Omega and Theta notation, Programming Style, Refinement of Coding - Time-Space Trade Off, Testing, Data Abstraction

Linear Data Structure: Dynamic memory allocation,Array, Stack, Queue, Linked-list and its types, Various Representations, Operations & Applications of Linear Data Structures

Searching and Sorting on Various Data Structures: Sequential Search, Binary Search, Breadth First Search, Depth First Search, Insertion Sort, Selection Sort, Shell Sort, Divide and Conquer Sort, Merge Sort, Quick Sort, Heap Sort, Introduction to Hashing

File: Organisation (Sequential, Direct, Indexed Sequential, Hashed) and various types of accessing schemes.

CB204-Principles of Electronics

Field Effect Transistors: Concept of Field Effect Transistors (channel width modulation), Gate isolation types, JFET Structure and characteristics, MOSFET Structure and characteristics, depletion and enhancement type; CS, CG, CD configurations; CMOS: Basic Principles

Digital Electronics: Introduction to binary number; Basic Boolean algebra; Logic gates and function realization with OPAMPs

CB205-Fundamentals of Economics

Introduction to Microeconomics: The themes of microeconomics, Elasticity of Supply, Elasticity of Demand, Microeconomics versus Macroeconomics, Behavior of firm and House hold.

Principles of Demand and Supply: Supply Curves of Firms — Demand Curves of Households; Equilibrium and Comparative Statics (Shift of a Curve and Movement along the Curve); Welfare Analysis — Consumers ‘andProducers’ Surplus — Price Ceilings and Price Floors.

Theory of Production: Production Function and Iso-quants — Cost Minimization; Cost Curves — Total, Average and Marginal Costs — Long Run and Short Run Costs; Equilibrium of a Firm under Perfect Competition; Monopoly and Monopolistic Competition.

Introduction to Macroeconomics: National Income and its Components — GNP, NNP, GDP, NDP; Consumption Function; Investment; Simple Keynesian Model of Income Determination and the Keynesian Multiplier; Government Sector — Taxes and Subsidies.

CB206- Business Communication and Value Science - II

Essential Grammar – II: Application of tenses, Auxiliaries- correct usage and importance in formal communication, Business Vocabulary - Vocabulary exercises through web-based applications

Written Communication II: Email writing- Formal and Informal email writing structure, Inquiry letters, Instruction letters, complaint letters, Routine business letters, Sales Letters etc. Technical writing, Essay writing, Paragraph writing.

Vocabulary- II: Vocabulary exercises through web-based applications, Usage and application through mock meetings Situational Conversation: Application of grammar and correct spoken English according to context/ situation and application in business scenario.