KIET-LMS

 Course Outcomes

1.     To understand internet and web designing concepts.

2.     To create web pages using HTML, CSS and by using various designing frameworks and libraries.

3.     To build dynamic web pages using client side scripting language JavaScript and to write XML document.

4.     To build interactive web application using PHP.

5.     To construct and manipulate database of web application using PHP and MySQL.

Course Outcome

Construct Flowchart and Write algorithms for solving basic problems.
Write ‘C’ programs that incorporate use of variables, operators and expressions along with data types.
Write simple programs using the basic elements like control statements, functions, arrays and strings. 
Write advanced programs using the concepts of pointers, structures, unions and enumerated data types. 
Apply pre-processor directives and basic file handling and graphics operations in advanced programming.

UNIT-I: (8) Introduction: Introduction to Software Engineering, Software Components, Software Characteristics, Software Crisis, Software Engineering Processes, Similarity and Differences from Conventional Engineering Processes, Software Quality Attributes. Software Development Life Cycle (SDLC) Models: Water Fall Model, Prototype Model, Spiral Model, Evolutionary Development Models, Iterative Enhancement Models. 

UNIT-II: (8) Software Requirement Specifications (SRS): Requirement Engineering Process: Elicitation, Analysis, Documentation, Review and Management of User Needs, Feasibility Study, Information Modeling, Data Flow Diagrams, Entity Relationship Diagrams, Decision Tables, SRS Document, IEEE Standards for SRS. Software Quality Assurance :(SQA): Verification and Validation, SQA Plans, Software Quality Frameworks, ISO 9000 Models, SEI-CMM Model.

UNIT-III: (8) Software Design: Basic Concept of Software Design, Architectural Design, Low Level Design: Modularization, Design Structure Charts, Pseudo Codes, Flow Charts, Coupling and Cohesion Measures, Design Strategies: Function Oriented Design, Object Oriented Design, Top-Down and Bottom-Up Design. Software Measurement and Metrics: Various Size Oriented Measures: HalesteSoftware Science, Function Point (FP) Based Measures, Cyclomatic Complexity Measures: Control Flow Graphs 

UNIT-IV: (8) Software Testing: Testing Objectives, UNIT Testing, Integration Testing, 8 Acceptance Testing, Regression Testing,Testing for functionality and Testing for Performance, Top-Down and Bottom-Up Testing Strategies: Test Drivers and Test Stubs, Structural Testing (White Box Testing), Functional Testing (Black Box Testing), Test Data Suit Preparation, Alpha and Beta Testing of Products. Static Testing Strategies: Formal Technical Reviews (Peer Reviews), Walk Through, Code Inspection, Compliance with Design and Coding Standards. 

UNIT-V: (8) Software Maintenance and Software Project Management: Software as an Evolutionary Entity, Need for maintenance, Categories of Maintenance: Preventive, Corrective and Perfective Maintenance, Cost of Maintenance, Software Re-Engineering, Reverse Engineering. Software Configuration Management Activities, Change Control Process, Software Version Control, An Overview of CASE Tools. Estimation of Various Parameters such as Cost, Efforts, Schedule/Duration, Constructive Cost Models (COCOMO), Resource allocation Models, Software Risk Analysis and Management.

Demonstrate the knowledge of the basic structure, components, features and generations of computers.  Describe the concept of computer languages, language translators and construct algorithms to solve problems using programming concepts.  Compare and contrast features, functioning & types of operating system and computer networks. Demonstrate architecture, functioning & services of the Internet and basics of multimedia. Illustrate the emerging trends and technologies in the field of Information Technology.

KAS 103T ENGINEERING MATHMATICS I 

3L:1T:0P 4 Credits 

COURSE OBJECTIVE: The objective of this course is to familiarize the graduate engineers with techniques in calculus, multivariate analysis, vector calculus and linear algebra. It aims to equip the students with standard concepts and tools from intermediate to advanced level that will enable them to tackle more advanced level of mathematics and applications that they would find useful in their disciplines. The students will learn:
To apply the knowledge of differential calculus in the field of engineering.
To deal with functions of several variables that is essential in optimizing the results of real life problems.
Multiple integral tools to deal with engineering problems involving centre of gravity, volume etc.
To deal with vector calculus that is required in different branches of Engineering to graduate engineers.
The essential tools of matrices and linear algebra, Eigen values and diagonalization in a Comprehensive manner are required. 

Unit I Matrices: Types of Matrices: Symmetric, Skew-symmetric and Orthogonal Matrices; Complex Matrices, Inverse and Rank of matrix using elementary transformations, Rank-Nullity theorem; System of linear equations, Characteristic equation, Cayley-Hamilton Theorem and its application, Eigen values and eigenvectors; Diagonalisation of a Matrix 8 

Unit II Differential Calculus- I: Introduction to limits, continuity and differentiability, Rolle’s Theorem, Lagrange’s Mean value theorem and Cauchy mean value theorem, Successive Differentiation (nth order derivatives), Leibnitz theorem and its application, Envelope of family of one and two parameter, Curve tracing: Cartesian and Polar co-ordinates 

Unit III Differential Calculus-II: Partial derivatives, Total derivative, Euler’s Theorem for homogeneous functions, Taylor and Maclaurin’s theorems for a function of two variables, Maxima and Minima of functions of several variables, Lagrange Method of Multipliers, Jacobians, Approximation of errors 

Unit IV Multivariable Calculus-I: Multiple integration: Double integral, Triple integral, Change of order of integration, Change of variables, Application: Areas and volumes, Center of mass and center of gravity (Constant and variable densities) 

Unit V Vector Calculus: Vector identities (without proof), Vector differentiation: Gradient, Curl and Divergence and their Physical interpretation, Directional derivatives. Vector Integration: Line integral, Surface integral, Volume integral, Gauss’s Divergence theorem, Green’s theorem and Stoke’s theorem (without proof) and their applications

COURSEOBJECTIVES

CO 1 Describe primary features, processes and principles of management. K1, K2 

CO 2 Explain functions of management in terms of planning, decision making and organizing. K3, K4 

CO 3 Illustrate key factors of leadership skill in directing and controlling business resources and processes. K5, K6 

CO 4 Exhibit adequate verbal and non-verbal communication skills K1, K3

 CO 5 Demonstrate effective discussion, presentation and writing skills. K3, K5

Upon the completion of the course, the student will be able to: 

 CO 1 Apply the use of sensors for measurement of displacement, force and pressure

CO2 Employ commonly used sensors in industry for measurement of temperature, position, accelerometer, vibration sensor, flow and level. 

CO3 Demonstrate the use of virtual instrumentation in automation industries. 

CO4 Identify and use data acquisition methods. 

CO5 Comprehend intelligent instrumentation in industrial automation. 

      1.            Understand the concepts and techniques of mobile radio communication fundamentals like reflection, diffraction, scattering, fading and cellular concept with frequency reuse .

      2.            Study various types of vocoders, Intersymbol interference and various Diversity techniques in Mobile communication.

      3.            Understand  Equalization techniques and various  Multiple access techniques

      4.            Design   GSM and CDMA and its components in mobile and wireless communication.

      5.            Design a 3G and 4G wireless communication system to meet desired needs within realistic constraints.