B.Sc AI & ML

Programme Educational Objective

PEO1	Expertise with the principles of Artificial Intelligence and problem solving, inference, perception, knowledge representation, and learning
PEO2	Exhibit high standards with regard to application of AI techniques in intelligent agents, expert systems, artificial neural networks and other machine learning models.
PEO3	Investigate with a machine learning model for simulation and analysis and explore the scope, potential, limitations, and implications of intelligent systems.

Programme Outcomes (PO)

PO1	Exhibit good domain knowledge and completes the assigned responsibilities effectively and efficiently in par with the expected quality standards.
PO2	Apply analytical and critical thinking to identify, formulate, analyze, and solve complex problems in order to reach authenticated conclusions.
PO3	Design and develop research based solutions for complex problems with specified needs through appropriate consideration for the public health, safety, cultural, societal, and environmental concerns.
PO4	Establish the ability to Listen, read, proficiently communicate and articulatecomplex ideas with respect to the needs and abilities of diverse audiences.
PO5	Deliver innovative ideas to instigate new business ventures and possess the qualities of a good entrepreneur
PO6	Acquire the qualities of a good leader and engage in efficient decision making.
PO7	Graduates will be able to undertake any responsibility as an individual/member of multidisciplinary teams and have an understanding of team leadership.
PO8	Demonstrate knowledge and understanding of management principles and apply these to one own work to manage projects and in multidiscipline any environment.

Course Code:21BAM1CA	Course Name: Core -I -Problem Solving techniques using C

CO1	Demonstrate the flowchart and design an algorithm for a given problem and to develop C programs using operators
CO2	Develop conditional and iterative statements to write C programs
CO3	Exercise user defined functions to solve real time problems
CO4	Inscribe C programs that use Pointers to access arrays, strings and functions
CO5	Exercise user defined data types including structures and unions to solve problem

Course Code: 21BAM1CP	Course Name: Core -Practical -I –Programming in C Lab

CO1	Understand basic Structure of the C-PROGRAMMING, declaration and usage of variables
CO2	Understand C programs using operators
CO3	Exercise conditional and iterative statements to Write C programs
CO4	Understand for C programs using Pointers to access arrays, strings and functions
CO5	Understand C programs using pointers and allocate memory using dynamic memory management functions

Course Code: 21BAM1DA	Course Name: Python Programming

CO1	Examine Python syntax and semantics and be fluent in the use of Python flow control and functions
CO2	Demonstrate proficiency in handling Strings and File Systems
CO3	Understand Lists, Dictionaries and Regular expressions in Python
CO4	Interpret the concepts of Object-Oriented Programming as used in Python
CO5	Implement exemplary applications related to Network Programming, Web Services and Databases in Python

Course Code: 21BAM1DP	Course Name: Python Programming Lab

CO1	Write, test, and debug simple Python programs.
CO2	Implement Python programs with conditionals and loops for stack, sorting algorithms.
CO3	Read and write data from/to files in Python.
CO4	Use Python lists, dictionaries for representing compound data.
CO5	Write Script to SQL and Demonstrate Exception in Python.

Course Code: 21BAM2CA	Course Name: Java Programming

CO1	Define the concept of OOP as well as the purpose and usage principles of inheritance, polymorphism, encapsulation and method overloading.
CO2	Identify the situations of Program Control Statements, Introducing Classes, Objects and Methods of their usages.
CO3	Identify String Handling , Arrays, classes, objects, members of a class and the relationships among them needed for a specific problem.
CO4	OOP concepts like inheritance, Interface & package in real time situations.
CO5	Develop Java application programs using sound OOP practices (e.g., interfaces and APIs) and proper program structuring (e.g., by using access applet, multithreading)K3

Course Code: 21BAM2CP	Course Name: JavaProgramming lab

CO1	Execute JAVA programs based on simple constructs like arrays, loops , decision statements, functions etc
CO2	Incorporate object oriented concepts like classes, objects, inheritance, polymorphism resembling real time situation.
CO3	Demonstrate the use of packages and interfaces
CO4	Develop OOP programs containing User created Exception handling & Threading.
CO5	Familiarize with Java development Environment such as Eclipse, NetBeans etc. Suggestive list of programs.

Course Code: 21BAM2DA	Course Name: Core -Natural Language Processing

CO1	Understand the fundamental concepts and techniques of natural language processing (NLP)
CO2	Understanding of the models and algorithms in the field of NLP
CO3	Demonstrate the computational properties of natural languages and the commonly used algorithms for processing linguistic information.
CO4	Understanding semantics and pragmatics of languages for processing.

Course Code: 21BAM2DP	Course Name: Core-Natural Language Processing Lab

CO1	Understand the fundamental concepts and techniques of natural language processing (NLP)
CO2	Understanding of the models and algorithms in the field of NLP
CO3	Demonstrate the computational properties of natural languages and the commonly used algorithms for processing linguistic information.
CO4	Understanding semantics and pragmatics of languages for processing.

Course Code: 21BAM3CA	Course Name: Core -Machine Learning Techniques

CO1	Understand the basic concepts and techniques of Machine Learning.
CO2	Explain the regression methods, classification methods, clustering methods.
CO3	Understand the inference and learning algorithms for the hidden Markov model.
CO4	Demonstrate Dimensionality reduction Techniques
CO5	Appreciate the underlying mathematical relationships within and across Machine Learning algorithms and the paradigmsof supervised and un-supervised learning.

Course Code: 21BAM3CP	Course Name: Machine Learning Lab

CO1	Understand the basic concepts and techniques of Machine Learning.
CO2	Explain the regression methods, classification methods, clustering methods.
CO3	Understand the inference and learning algorithms for the hidden Markov model.
CO4	Demonstrate Dimensionality reduction Techniques
CO5	Appreciate the underlying mathematical relationships within and across Machine Learning algorithms and the paradigms of supervised and un-supervised learning.

Course Code: 21BAM3DA	Course Name: Big Data Analytics

CO1	To understand the meaning of big data, need of big data and how worth to study by understands their characteristics of big data.
CO2	To gain knowledge in evolution of Hadoop, understanding the components of Hadoop.
CO3	To understand the value of data analyst and how to implementing a big data in organization.
CO4	To analysis the big data in context, getting the knowledge of predictive analytics and big data.
CO5	To understanding the concepts of humanizing and consumerization of big data analytics.

Course Code: 21BAM3DP	Course Name: Big Data Analytics Lab

CO1	To understand the meaning of big data, need of big data and how worth to study by understands their characteristics of big data.
CO2	To gain knowledge in evolution of Hadoop, understanding the components of Hadoop.
CO3	To understand the value of data analyst and how to implementing a big data in organization.
CO4	To analysis the big data in context, getting the knowledge of predictive analytics and big data.
CO5	To understanding the concepts of humanizing and consumerization of big data analytics.

Course Code: 21BAM3VA	Course Name: Value Added Course -Fundamental of Office Automation

CO1	Ability to understand basic level knowledge in Ms Word
CO2	To gain basic documentation works in Ms Work
CO3	Ability to working real time documentation process
CO4	Ability to identify and analyze worksheet in Ms Excel
CO5	Ability to understand diagnostic procedures and troubleshooting techniques to office automation

Course Code: 21BAM5EA	Course Name:

CO1	Explain about the need and importance of open source software.
CO2	Demonstrate the concepts of open source software‘s
CO3	Apply the programming constructs of MySQL, PHP, Python and PERL to create programs.
CO4	Develop small programs using open source software‘s.

Course Code: 21BAM5EB	Course Name: Elective -Principles of Secure Coding

CO1	Explain about the secure software development life cycle.
CO2	Understand the secure coding techniques
CO3	Demonstrate the threat modeling process and benefits.
CO4	Explain about the database and web specific issues.

Course Code: 21BAM5EC	Course Name: Elective -Embedded Systems

CO1	Understand hardware and software design requirements of embedded systems.
CO2	Explain about the architecture of microprocessor and operating systems in embedded systems
CO3	Analyze the embedded systems‘ specification and develop software programs.
CO4	Evaluate the requirements of programming Embedded Systems, related software architectures and tool chain for Embedded Systems.

Course Code: 21BAM6EA	Course Name: Elective -Web Application Security

CO1	Illustrate about the concept of HTML,DHTML, CSS and Java Script
CO2	Explain the history, characteristics, technologies, concepts, usage in web2.0 and web 3.0
CO3	Apply the core concepts of web applications to create web pages
CO4	Apply the concepts of servers side programming

Course Code: 21BAM6EB	Course Name: Elective -Artificial Neural Networks and Fuzzy System

CO1	Explain the concepts of neural networks and , fuzzy logic
CO2	Understanding of the basic mathematical elements of the theory of fuzzy sets.
CO3	Understanding the differences and similarities between fuzzy sets and classical sets theories
CO4	Solve problems that are appropriately solved by neural networks and fuzzy logic

Course Code: 21BAM6EC	Course Name: Elective -Software Agents

CO1	Understanding the fundamentals of agents and agent programming paradigms.
CO2	Discussing the basics of java agents.
CO3	Learning the concepts of multivalent systems
CO4	Understanding the concepts of intelligent software agents.
CO5	Understanding the agents and security.

Course Code: 21BAM6ED	Course Name: Elective -Social Network Analysis

CO1	Understand a broad range of network concepts and theories
CO2	Appreciate how network analysis can contribute to increasing knowledge about diverse aspectsof society.
CO3	Use a relational approach to answer questions of interest to them (i.e. be able to apply ‘network thinking’).
CO4	Analyse social network data using various software packages.
CO5	Present results from social network analysis, both orally and in writing

Course Code: 21BAM6EF	Course Name: Elective -Business Data Analytics

CO1	Understand and critically apply the concepts and methods of business analytics
CO2	Demonstration the various methodologies of descriptive statistics
CO3	Understanding of modeling uncertainty and statistical inference
CO4	Understanding of analytical frameworks

Course Code: 21BAM3ZA	Course Name: Skill Enhancement Course : Digital Image Processing

CO1	Understand   the   fundamentals   of   digital   image   processing   and   sampling   and quantization concepts.
CO2	Apply image processing techniques in both the spatial and frequency domains using various transform techniques.
CO3	Understanding the filtering techniques for Image restoration and reconstruction.
CO4	Understanding fundamentals and some basic models of  Image Compression
CO5	Applying the image segmentation process.

Course Code:21BAM4CA	Course Name: Distributed Programming

CO1	To understand the foundations of distributed systems.
CO2	To learn process and naming concepts in distributed systems.
CO3	To learn issues related to clock Synchronization and the need for global state in distributed systems.
CO4	To understand the fault tolerance and recovery protocols in Distributed Systems.
CO5	To learn the characteristics of distributed object based System and file systems.

Course Code: 21BAM4CB	Course Name: Enterprise Resource Planning

CO1	To understand about ERP systems
CO2	To expose the students to ERP software and modules, Implementation of ERP
CO3	To familiarize Emerging trends on ERP
CO4	Enhanced Evaluation of ERP systems, Business Analytics, Future trends in ERPSystems.
CO5	To familiarize ERP SOLUTIONS AND FUNCTIONAL MODULES.

Course Code: 21BAM4CC	Course Name: Computer Architecture and Design

CO1	To make students understand the basic structure and operation of digital computer
CO2	To understand the hardware-software interface.
CO3	To  familiarize  the  students  with  arithmetic  and  logic  unit  and  implementation  of  fixed point and floating-point arithmetic operations.
CO4	To expose the students to the concept of pipelining.
CO5	To familiarize the students with hierarchical memory system including cache memories and virtual memory. To expose the students with different ways of communicating with I/O devices and standard I/O interfaces.

Course Code: 21BAM4CD	Course Name: Animation and Multimedia

CO1	To develop  an  understanding  and  awareness  how  issues  such  as  content, information architecture, motion, sound, design, and technology merge to form effective and compelling interactive experiences for a wide range of audiences and end users.
CO2	To become familiar with various tools used in the creation and implementation of multi-media
CO3	To understand about the color and 3D Cloud
CO4	To become familiar with Blender with images
CO5	To create an animation and An introduction to the development of Graphics.

Course Code: 21BAM4ZA	Course Name: Skill–Information Security and Cyber

CO1	The objective of this course is to provide students with a basic understanding of Information and Cyber Security issues and make them aware of the Challenges.
CO2	To provide components of the Information and Cyber Security Organization.
CO3	To achieve a basic understanding of information and Cyber Security.
CO4	To master information security governance, and related legal and regulatory Issues
CO5	To be familiarity with information security awareness and a clear understanding of its importance

Course Code: 21BAM5ZA	Course Name: Skill -Internet Of Things

CO1	Students can understand and develop their knowledge of Internet of Things
CO2	Analyze basic protocols in wireless sensornetwork
CO3	Students can develop their knowledge of applications related with IOT.
CO4	Design IoT applications in different domain and be able to analyze theirperformance
CO5	Implement basic IoT applications on embeddedplatform.

Course Code: 21BAM6ZA	Course Name: Skill -Linux and Shell Programming

CO1	Understanding the basic set of commands and utilities in Linux/UNIX systems.
CO2	To learn to develop software for Linux/UNIX systems.
CO3	To learn the important Linux/UNIXlibrary functions and system calls.
CO4	To obtain a foundation for an advanced file system manipulation.
CO5	To understand the Pattern, URL and E-mail for web content.

Course Code: 21BAM5CA	Course Name: Entrepreneurial Development

CO1	To know about the role of the entrepreneur in India and around and the globe, understand the benefits and drawbacks of entrepreneurship and students has to avoid them; entrepreneurial failure.
CO2	The course aims to develop student’s ability to create, lead and coordinate projects within the textile and fashion sector. It also intends to provide tools and methods in order to make use of entrepreneurial thinking to develop a business project.
CO3	Students will be able to define, identify and/or apply the principles of new venture financing, growth financing, and growth financing for existing businesses.
CO4	To understand process of women entrepreneur and howfaced their problems
CO5	To understand difference between Micro, small and medium Enterprises.

Course Code: 21BAM5CB	Course Name: Mathematics for Computer Science

CO1	To demonstrate a working knowledge of set notation and elementary set theory with its corresponding set operations and also Venn diagram.
CO2	To apply the fundamental concepts of Mathematical Logic and Tautologies.
CO3	To apply and understand the fundamental concepts of Relations and Functions.
CO4	To demonstrate different traversal methods for graphs.
CO5	To demonstrate different methods for trees and its properties.

Course Code: 21BAM5CP	Course Name: Ethical Hacking Lab

CO1	Implement the importance of ethical hacking in achieving the goals of information security.
CO2	Differentiate the processes of vulnerability assessment and ethical hacking from penetration testing.
CO3	Comprehend the importance of appropriate countermeasures for managing vulnerabilities.
CO4	Justify  the  need  for  meticulous  documentation  in  writing  reports  for  consumption  of  both technical and managementaudiences.
CO5	Articulate the rationale for having an adequate legal framework for dealing with hacking and ethical hacking.

Course Code: 21BAM5CC	Course Name: Ethical  Hacking

CO1	Explain the importance of numerousmethods of real-world informationintelligence.
CO2	Differentiate the processes of vulnerability assessment and ethical hacking from penetration testing.
CO3	Comprehend   the   importance   of   appropriate   countermeasures   for   managing vulnerabilities.
CO4	To familiarize with the methodologies that can be used to hack into atarget.
CO5	To appreciate the wide variety of attacks that can be performed against a wireless network

Course Code: 21BAM5CD	Course Name: RoboticProcess Automation

CO1	Explainthetechnology, the benefits and drawbacks, and comparisons to automation technologies.
CO2	To takes a look at core technologies like on-premise software, cloud computing, OCR (optical character recognition), databases, APIs.
CO3	To learn methodologies like lean, Six Sigma, and lean Six Sigma..
CO4	To provides help on assessing processes, determining what to automate, and how to measure ROI.
CO5	To find the steps in selecting the right RPA software, such as looking at costs, training, functionality, and security.

Course Code: 21BAM5CP	Course Name: Core  -Data Mining and warehouseLab

CO1	To  explain  the  core  concepts  of  the  Data  Warehousing.  This  Explain  about  the Concept of Different Types of Data warehouse and its features.
CO2	To discuss Data Mining Techniques and issues.
CO3	To analyze various Association Rules in Data Warehousing.
CO4	To understand various Clustering techniques.
CO5	To deploy applications of Web Mining.

Course Code: 21BAM5CE	Course Name: Data Mining and warehouse

CO1	To explain the core concepts of the Data Warehousing. This Explain about the Concept of Different Types of Data warehouse and its features.
CO2	To discuss Data Mining Techniques and issues.
CO3	To analyze various Association Rules in Data Warehousing.
CO4	To understand various Clustering techniques.
CO5	To deploy applications of Web Mining.

Course Code: 21BAM5CQ	Course Name: Software Engineering Lab

CO1	To Understanding the Requirement tasks.
CO2	To Understanding the Requirement analysis and SRS.
CO3	To Implement a DFD and Structured chart.
CO4	To Understand and Implement the concept of Use case Diagram.
CO5	To Understand and Implement the concept of Class Diagram & Object Diagram.

Course Code:21BAM6CA	Course Name: Software Engineering

CO1	This  gives the Knowledge about various models in software engineering.
CO2	It gives the brief description about requirements.
CO3	To understand knowledge about Planning.
CO4	To analyze various testing in software testing
CO5	It deals the concept of Maintenance.

Course Code: 21BAM6CB	Course Name: Artificial Intelligence and Knowledge Representation

CO1	Demonstrate fundamental understanding of the history of artificial intelligence (AI) and its foundations.
CO2	Understanding  about  the  basic  concepts  of  Software  agents  ad  representation  of knowledge
CO3	Demonstrate awareness and a fundamental understanding of various applications of AI  techniques  in  intelligent agents,  expert  systems,  artificial  neural  networks  and other machine learning models.
CO4	Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning.

Course Code: 21BAM6CC	Course Name: Deep Learning

CO1	Understand the basic concepts and techniques of Deep Learning.
CO2	To understand and apply the Machine learning principles
CO3	To study the deep learning architectures
CO4	Explore and create deep learning applications with tensor flow

Course Code: 21BAM6CP	Course Name: Core  -Data Structure Lab

CO1	After learning the fundamental concepts in Operating system.
CO2	To provide  the  necessary  information  for  developing  programs,  working  with applications and etc.
CO3	These     chapters     cover     methods     for     process     scheduling,     interprocess communication, process synchronization, and deadlock handling.
CO4	To covers the how storage is maintain in the computer
CO5	To knowledge of provided by a mechanism that controls the access of programs, processes, or users to the resources defined by a computer system.

Course Code: 21BAM6CD	Course Name:  Operating System

CO1	After learning the fundamental concepts in Operating system including how OS has evolved over the years and different components of OS
CO2	This will provide the necessary information for students to extract maximum benefits out of the OS while developing programs, working with applications and etc.
CO3	These chapters cover methods for process scheduling, inter process communication, process synchronization, and deadlock handling.
CO4	These chapter covers the how storage is maintain in the computer
CO5	Have the knowledge of provided by a mechanism that controls the access ofprograms, processes, or users to the resources defined by a computersystem.

Course Code: 21BAM6CE	Course Name: Data Structures

CO1	Students develop knowledge of basic data structures for storage and retrieval of ordered or unordered data.
CO2	Students develop knowledge of linked lists.
CO3	Students develop knowledge of applications of searching, and sorting of each data structure.
CO4	Student develop Knowledge of Tree
CO5	Student develop Knowledge of    Graph

Course Code:21BAM6DP	Course Name: Core  -Data Structure Practical

CO1	Understand basic Concept of the data structure using C program
CO2	Implementing STACK Operations using C Program
CO3	Exercise linked List using C programs
CO4	Understand nodes concepts in Linked List using C programs
CO5	Implementing QUEUE Operations using C Program