KIET-LMS

Course Objectives:

• Understand the different basic concept / fundamentals of business statistics.
• Understand the importance of measures of Descriptive statistics which includes measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance.
• Understand the concept of Probability and its usage in various business applications.
• Understand the Hypothesis Testing concepts and use inferential statistics- t, F, Z Test and Chi Square Test 
• Understand the practical application of Descriptive and Inferential Statistics concepts and their uses for Business Analytics.

a. The present course aims are familiarizing the participants with the principles & practices

and structure of different types of taxes in Indian economy.

b. A student of taxation will have to make a detailed study of tax policy and tax provisions

in India.

c. A broad understanding or role of taxation in economic and industrial development of an

economy.

d. A broad understanding of financial planning process

e. An Understating o f asset allocation process and retirement planning

                                        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

CO 1: Describe communication models TCP/IP, ISO-OSI model, network topologies along with communicating devices and connecting media.

CO 2: Apply knowledge of error detection, correction and learn concepts of flow control along with error control.

CO 3: Classify various IP addressing techniques, subnetting along with network routing protocols and algorithms.

CO 4: Understand various transport layer protocols and their design considerations along with congestion control to maintain Quality of Service.

CO 5: Understand applications-layer protocols and elementary standards of cryptography and network security.

Course Outcome

CO 1: Apply the knowledge of HTML and CSS to develop web application and analyze the insights of internet programming to implement complete application over the web.

CO 2: Understand, analyze and apply the role of JavaScript in the workings of the web and web applications.

CO 3: Understand, analyze and build dynamic web applications using servlet and JSP. K2, K3

CO 4: Develop Spring-based Java applications using Java configuration, XML configuration, annotation-based configuration, beans and their scopes, and properties.

CO 5: Develop web application using Spring Boot and RESTFul Web Services

 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.

ENTREPRENEURSHIP DEVELOPMENT

An operating system is software that manages the computer hardware, as well as providing an environment for application programs to run. Perhaps the  most visible aspect of an operating system is the interface to the computer system it provides to the human user.

To best utilize the CPU, modern operating systems employ multiprogramming, which allows several jobs to be in memory at the same time, thus ensuring that the CPU always has a job to execute. Time-sharing systems are an extension of multiprogramming wherein CPU scheduling algorithms rapidly switch between jobs, thus providing the illusion that each job is running concurrently.

The operating system must ensure correct operation of the computer system. To prevent user programs from interfering with the proper operation of the system, the hardware has two modes: user mode and kernel mode.

Operating systems must also be concerned with protecting and securing the operating system and users.

In this course, students will learn to develop the ability to design and build interactive, responsive web applications using HTML, CSS, JavaScript, and React, meeting industry standards for modern web development.

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.

Course Objectives

 1: To understand business communication strategies and principles for effective communication in domestic and international business situations.

2: To understand and appropriately apply modes of expression, i.e., descriptive, expositive, narrative, scientific, and self-expressive, in written, visual, and oral communication.

3: To develop the ability to research and write a documented paper and/or to give an oral presentation. 4 : To develop the ability to communicate via electronic mail, Internet, and other technologies for presenting business messages.

5: To understand and apply basic principles of critical thinking, problem solving, and technical proficiency in the development of exposition and argument.

Course Objectives 

• Understand the different basic concept / fundamentals of business statistics.
• Understand the importance of measures of Descriptive statistics which includes measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance.
• Understand the concept of Probability and its usage in various business applications.
• Understand the Hypothesis Testing concepts and use inferential statistics- t, F, Z Test and Chi Square Test 
• Understand the practical application of Descriptive and Inferential Statistics concepts and their uses for Business Analytics.

This course will prepare the young pharmacy student to interact effectively with doctors, nurses, dentists, physiotherapists and other health workers. At the end of this course the student will get the soft skills set to work cohesively with the team as a team player and will add value to the pharmaceutical business.

Objectives: Upon completion of the course the student shall be able to

1. Understand the behavioral needs for a Pharmacist to function effectively in the areas of pharmaceutical operation

2. Communicate effectively (Verbal and Non Verbal)

3. Effectivelymanage the team as a team player

4. Develop interview skills

Course Objectives: 

1. The purpose of this course is to expose the student to the basic concepts of entrepreneurship and Common myths to becoming an entrepreneur. Students will be exposed to the functions of entrepreneurs, and problems faced by them in the real world. 

2. To impart an understanding of Entrepreneurial Finance, Assistance, and the role of Entrepreneurial Development Agencies 

3. To provide insights to students in converting an Idea to an opportunity and develop understanding of various funding sources for a startup. 

4. Familiarizing the students on Developing a Business Plan. 

5. To provide a basic understanding of Launching a New Venture

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

Course Objectives 

• Understand the importance of the use of OR application in decision Making environment 
• To formulate LPP and Obtain Graphical Solutions & Acquire General idea of the Simplex method. 
• To understand and solve transportation & assignment models. 
• To know optimal sequence model and understand concepts of queuing theory. 
• To identify right time for replacement of equipment and understand project management techniques

The "Sensor and Instrumentation" course covers the principles, design, and application of various sensors and instrumentation systems. Topics include sensor types, signal conditioning, data acquisition, and integration into measurement systems. Students learn to select appropriate sensors, understand their operating principles, and analyze data for applications in industries such as healthcare, environmental monitoring, and automation. Practical labs and projects provide hands-on experience in building and troubleshooting sensor-based systems, preparing students for real-world challenges in engineering and technology fields.