CSE(AI & ML) CO's

  MATHEMATICS – I 

 (MA101BS)

Course Outcomes:

1. After learning the contents of this paper the student must be able to  
2. Write the matrix representation of a set of linear equations and to analyse the solution of the

system of equations

1. Find the Eigen values and Eigen vectors  Reduce the quadratic form to canonical form using orthogonal transformations.
2. Analyse the nature of sequence and series. Solve the applications on the mean value theorems.
3. Evaluate the improper integrals using Beta and Gamma functions Find the extreme values of functions of two variables with/ without constraints.

APPLIED PHYSICS

( AP102BS/AP202BS)

Course Outcomes:

1. The student would be able to learn the fundamental concepts on Quantum behaviour of matter
    in its micro state.
2. The knowledge of fundamentals of Semiconductor physics, Optoelectronics, Lasers
3. The knowledge of fundamentals of fibre  optics enable the students to apply to various systems like communications, solar cell, photo cells and so on..
4. Design, characterization and study of properties of material help the students to prepare new
    materials for various engineering applications.
5. The course also helps the students to be exposed to the phenomena of electromagnetism and
    also to have exposure on magnetic materials and dielectric materials.

PROGRAMMING FOR PROBLEM SOLVING 

(CS103ES/CS203ES)

Course Outcomes:

The student will learn

1. To write algorithms and to draw flowcharts for solving problems.
2. To convert the algorithms/flowcharts to C programs.
3. To code and test a given logic in C programming language.
4. To decompose a problem into functions and to develop modular reusable code.
5. To use arrays, pointers, strings and structures to write C programs. Searching and sorting problems.

APPLIED PHYSICS LAB 

(AP105BS/AP205BS)

Course Outcomes:

The students will be able to:

1. Know the determination of the Planck’s constant using Photo electric effect and identify the material whether it is n-type or p-type by Hall experiment.
2. Appreciate quantum physics in semiconductor devices and optoelectronics.
3. Gain the knowledge of applications of dielectric constant.
4. Understand the variation of magnetic field and behavior of hysteresis curve.
5. Carried out data analysis.

ENGINEERING GRAPHICS

(ME104ES/ME204ES)

Course Outcomes:

At the end of the course, the student will be able to:

1. Preparing working drawings to communicate the ideas and information.
2. Read, understand and interpret engineering drawings.
3. Apply Orthographic Projection Techniques
4. Visualize and Draw Isometric Projections
5. Understand and Draw Projections of Solids

PROGRAMMING FOR PROBLEM SOLVING LAB 

(CS106ES/CS206ES)

Course Outcomes:

1. The candidate is expected to be able to:
2. formulate the algorithms for simple problems
3. translate given algorithms to a working and correct program
4. correct syntax errors as reported by the compilers
5. identify and correct logical errors encountered during execution
6. represent and manipulate data with arrays, strings and structures
   use pointers of different types
7. create, read and write to and from simple text and binary files
8. modularize the code with functions so that they can be reused

ENVIRONMENTAL SCIENCE 

(*MC109ES/*MC209ES)

Course Outcomes:

1. Based on this course, the Engineering graduate will understand /evaluate / develop
   technologies on the basis of ecological principles and environmental regulations which in turn
   helps in sustainable development
2. Understand the Fundamentals of Environmental Science
3. Identify the Components of the Environment
4. Analyze Human Impact on the Environment
5. Understand the Importance of Natural Resources

BASIC ELECTRICAL ENGINEERING

( EE103ES/EE203ES)

Course Outcomes:

1. To analyze electrical circuits using network laws and theorems.
2. To solve electrical circuits using network laws and theorems
3. To understand and analyze basic Electric and Magnetic circuits
4. To study the working principles of Electrical Machines
5. To introduce components of Low Voltage Electrical Installations

MATHEMATICS – II

 (MA201BS)

Course Outcomes:

After learning the contents of this paper the student must be able to

1. Identify whether the given differential equation of first order is exact or not
2. Solve higher differential equation
3. Apply the concept of differential equation to real world problems
4. Evaluate the multiple integrals and apply the concept to find areas, volumes, centre of mass and
   Gravity for cubes, sphere and rectangular parallelepiped
5. Evaluate the line, surface and volume integrals and converting them from one to another

CHEMISTRY 

(CH102BS/CH202BS)

Course Outcomes:

The basic concepts included in this course will help the student to gain:

1. The knowledge of atomic, molecular and electronic changes, band theory related to conductivity.
2. The required principles and concepts of electrochemistry, corrosion and in understanding the
   problem of water and its treatments.
3. The required skills to get clear concepts on basic spectroscopy and application to medical and
   other fields.
4. The required skills to get clear concepts on basic spectroscopy and application
   other than medical fields.
5. The knowledge of configurational and conformational analysis of molecules and reaction
   mechanisms.

ENGINEERING CHEMISTRY LAB

( CH106BS/CH206ES)

Course Outcomes:

The experiments will make the student gain skills on:

1. Determination of parameters like hardness and chloride content in water.
2. Determination of chloride content in water
3. Estimation of rate constant of a reaction from concentration – time relationships.
4. Determination of physical properties like adsorption and viscosity.
5. Calculation of Rf values of some organic molecules by TLC technique.

ENGLISH LANGUAGE AND COMMUNICATION SKILLS LAB

( EN107HS/EN207HS)

Course Outcomes:

Students will be able to attain

1. Better understanding of nuances of English language through audio
2. visual experience and group activities
3. Neutralization of accent for intelligibility
4. Speaking skills with clarity and confidence
5. which in turn enhances their employability skills

ENGLISH

(EN105HS/EN205HS)

Course Outcomes:

Students should be able to

1. Use English Language effectively in spoken and written forms.
2. Comprehend the given texts and respond appropriately.
3. Communicate confidently in various contexts and different cultures.
4. Acquire basic proficiency in English including reading and listening comprehension, writing
   and speaking skills.
5. Acquire basic proficiency in English including writingand speaking skills

ENGINEERING WORKSHOP

( ME105ES/ME205ES)

Course Outcomes:

At the end of the course, the student will be able to:

1. Study  machine tools and their operations
2. practice on machine tools and their operations
3. Practice on manufacturing of components using workshop trades including pluming, fitting,
   carpentry, foundry, house wiring and welding.
4. Identify and apply suitable tools for different trades of Engineering processes including
   drilling, material removing, measuring, chiseling.
5. Apply basic electrical engineering knowledge for house wiring practice.

BASIC ELECTRICAL ENGINEERING LAB

(EE108ES/EE208ES)

Course Outcomes:

Get an exposure to basic electrical laws.

1. Understand the response of different types of electrical circuits to different excitations.
2. Understand the measurement, calculation
3. Understand the relation between the basic electrical parameters
4. Understand the basic characteristics of transformers.
5. Understand the basic characteristics of  electrical machines

DISCRETE MATHEMATICS

(CS310PC)

Course Outcomes:

1. Ability to understand and construct precise mathematical proofs
2. Ability to use logic and set theory to formulate precise statements
3. Ability to analyze and solve counting problems on finite and discrete structures
4. Ability to describe and manipulate sequences
5. Ability to apply graph theory in solving computing problems

PYTHON PROGRAMMING 

(CS311PC)

Course Outcomes:

1. Examine Python syntax and semantics and be fluent in the use of Python flow control and
   functions.
2. Demonstrate proficiency in handling Strings and File Systems.
3. Create, run and manipulate Python Programs using core data structures like Lists,
   Dictionaries and use Regular Expressions.
4. Interpret the concepts of Object-Oriented Programming as used in Python.
5. Implement exemplary applications related to Network Programming, Web Services and
   Databases in Python.

MATHEMATICAL AND STATISTICAL FOUNDATIONS

( MA313BS)

Course Outcomes:

After learning the contents of this course, the student must be able to

1. Apply the number theory concepts to cryptography domain
2. Apply the concepts of probability and distributions to some case studies
3. Apply the number theory concepts to cryptography domain
4. Correlate the material of one unit to the material in other units
5. Resolve the potential misconceptions and hazards in each topic of study.

DATA STRUCTURES

(CS302PC)

Course Outcomes:

1. Ability to select the data structures that efficiently model the information in a problem.
2. Ability to assess efficiency trade-offs among different data structure implementations or combinations.
3. Implement and know the application of algorithms for sorting and pattern matching
4. Design programs using a variety of data structures, including hash tables, binary and general
5. Design programs using a variety of general tree structures, search trees, tries, heaps, graphs, and AVL-trees.

PYTHON PROGRAMMING LAB

(CS312PC)

Course Outcomes:

        Student should be able to understand the basic concepts scripting and the contributions of

        scripting language

1. Ability to explore python especially the object-oriented concepts,
2. Ability to explore  the built in objects of Python.
3. Ability to create practical and contemporary applications such as TCP/IP network
4. programming, Web applications, discrete event simulations

COMPUTER ORGANIZATION AND ARCHITECTURE 

(CS304PC)

Course Outcomes:

Understand the basics of instructions sets and their impact on processor design.

1. Demonstrate an understanding of the design of the functional units of a digital computer

system.

1. Evaluate cost performance and design trade-offs in designing and
2.  constructing a computer processor including memory.
3. Design a pipeline for consistent execution of instructions with minimum hazards
4. Recognize and manipulate representations of numbers stored in digital computers

DATA STRUCTURES LAB 

(CS307PC)

Course Outcomes:

1. Ability to develop C programs for computing and real-life applications using basic elements
   like control statements, arrays, functions, pointers and strings, and data structures like stacks,
   queues and linked lists.
2. Ability to Implement searching and sorting algorithms

BUSINESS ECONOMICS AND FINANCIAL ANALYSIS

( SM306MS)

Course Outcomes:

The students will understand the various Forms of Business and the impact of

1. Economic variables on the Business.
2. The Demand, Supply, Production, Cost, Market Structure,
3. Pricing aspects are learnt.
4. The Students can study the firm’s financial position by analyzing the
5. Financial Statements of a Company.

GENDER SENSITIZATION LAB (*MC309)

Course Outcomes:

Students will have developed a better understanding of important issues related to gender in

contemporary India.

1. Students will be sensitized to basic dimensions of the biological, sociological, psychological

and legal aspects of gender. This will be achieved through discussion of materials derived

from research, facts, everyday life, literature and film.

1. Students will attain a finer grasp of how gender discrimination works in our society and how to

counter it.

1. Students will acquire insight into the gendered division of labour and its relation to politics and

economics.

1. Men and women students and professionals will be better equipped to work and live together

as equals.

1. Students will develop a sense of appreciation of women in all walks of life.Through providing accounts of studies and movements as well as the new laws that provide
2. protection and relief to women, the textbook will empower students to understand and

respond to gender violence.

JAVA PROGRAMMING LAB

 (CS408PC)

Course Outcomes:

1. Able to write programs for solving real world problems using java collection frame work.
2. Able to write programs using abstract classes.
3. Able to write multithreaded programs.
4. Able to write GUI programs using swing controls in Java.

DATABASE MANAGEMENT SYSTEMS LAB

( CS407PC)

Course Outcomes:

1. Design database schema for a given application and apply normalization
2. Acquire skills in using SQL commands for data definition and
3. Acquire skills in using SQL commands for data manipulation.
4. Develop solutions for database applications using procedures, cursors and triggers

OBJECT ORIENTED PROGRAMMING USING JAVA 

(CS412PC)

Course Outcomes:

1. Able to solve real world problems using OOP techniques.
2. Able to understand the use of abstract classes.
3. Able to solve problems using java collection framework and I/o classes.
4. Able to develop multithreaded applications with synchronization.
5. Able to develop applets for web applications.
6. Able to design GUI based applications

DATABASE MANAGEMENT SYSTEMS

(CS404PC)

Course Outcomes:

1. Gain knowledge of fundamentals of DBMS, database design and normal forms
2. Master the basics of SQL for retrieval and management of data.
3. Be acquainted with the basics of transaction processing
4. Be acquainted with the basics of  concurrency control.
5. Familiarity with database storage structures and access techniques

SOFTWARE ENGINEERING

 (CS417PC)

Course Outcomes:

1. Ability to translate end-user requirements into system and software requirements, using e.g.
2. UML, and structure the requirements in a Software Requirements Document (SRD).
3. Identify and apply appropriate software architectures and patterns to carry out high level
4. design of a system and be able to critically compare alternative choices.
5. Will have experience and/or awareness of testing problems and will be able to develop a simple testing report

OPERATING SYSTEMS 

(CS403PC

Course Outcomes:

1. Will be able to control access to a computer and the files that may be shared
2. Demonstrate the knowledge of the components of computer and their respective roles in computing.
3. Ability to recognize and resolve user problems with standard operating environments.
4. Gain practical knowledge of how programming languages, operating systems, and architectures interact and how to use each effectively.
5. Gain practical knowledge of  architectures interact and how to use each effectively.

FORMAL LANGUAGES AND AUTOMATA THEORY

 (CS416PC)

Course Outcomes:

1. Able to understand the concept of abstract machines and their power to recognize the

languages.

1. Able to employ finite state machines for modeling and solving computing problems.
2. Able to design context free grammars for formal languages.
3. Able to distinguish between decidability and undecidability.
4. Able to gain proficiency with mathematical tools and formal methods.

OPERATING SYSTEMS LAB

( CS406PC)

Course Outcomes:

1. Simulate and implement operating system concepts such as scheduling, deadlock

management, file management and memory management.

1. Able to implement C programs using Unix system calls

CONSTITUTION OF INDIA 

(*MC409)

Course Outcomes:

1. Improve their knowledge about Indian constitution  .
2. Value their identity and exercise their fundamental rights.
3. Understand how differently government bodies function

DESIGN AND ANALYSIS OF ALGORITHMS

(CS501PC)

Course Outcomes:

1. Ability to analyze the performance of algorithms
2. Ability to choose appropriate data structures and algorithm design methods for a specified
   application
3. Ability to understand how the choice of data structures
4. Ability to understand  the algorithm design methods
5. Impact the performance of programs

WEB PROGRAMMING
(Professional Elective – I)

(CS603PC)

Course Outcomes:

Upon Completion of the course, the students will be able to

1. Design web pages.
2. Use technologies of Web Programming.
3. Apply object-oriented aspects to Scripting.
4. Create databases with connectivity using JDBC.
5. Build web-based application using sockets.

MACHINE LEARNING

(CS701PC)

Course Outcomes:

1. Understand the concepts of computational intelligence like machine learning
2. Ability to get the skill to apply machine learning techniques
3. to address the real time problems in different areas
4. Understand the Neural Networks
5. Understand the Neural Networks usage in machine learning application

COMPUTER NETWORKS

(CS502PC)

Course Outcomes:

1. Gain the knowledge of the basic computer network technology.
2. Gain the knowledge of the functions of each layer in the OSI and TCP/IP reference model.
3. Obtain the skills of subnetting and routing mechanisms.
4. Familiarity with the essential protocols of computer networks, and
5. how protocols of computer networks can be applied in network design and implementation.

MACHINE LEARNING LAB

(CS705PC)

Course Outcomes:

After the completion of the course the student can able to:

1. understand complexity of Machine Learning algorithms and their limitations;
2. understand modern notions in data analysis-oriented computing;
3. be capable of confidently applying common Machine Learning algorithms in practice
4. be capable of confidently implementing their own
5. Be capable of performing experiments in Machine Learning using real-world data.

COMPILER DESIGN

(CS602PC)

Course Outcomes:

1. Demonstrate the ability to design a compiler given a set of language features.
2. Demonstrate the the knowledge of patterns, tokens & regular expressions for lexical analysis
3. Acquire skills in using lex tool & yacc tool for devleoping a scanner and parser.
4. Design and implement LL and LR parsers
5. Design algorithms to do code optimization in order to improve the performance of a program in
   terms of space and time complexity.
6. Design algorithms to generate machine code

INFORMATION RETRIEVAL SYSTEMS
(Professional Elective – II)

( CS721PE)

Course Outcomes:

1. Ability to apply IR principles to locate relevant information large collections of data
2. Ability to design different document clustering algorithms
3. Implement retrieval systems for web search tasks.
4. Design an Information Retrieval System for web search tasks
5. Implement and Understand Advanced IR Topics

ADVANCED COMMUNICATION SKILLS LAB

(EN508HS)

Course Outcomes:

1. Gathering ideas and information to organise ideas relevantly and coherently.
2. Making oral presentations.
3. Writing formal letters.
4. Transferring information from non-verbal to verbal texts and vice-versa.
5. Writing project/research reports/technical reports.
6. Participating in group discussions.
7. Engaging in debates.
8. Facing interviews.
9. Taking part in social and professional communication.

COMPUTER NETWORKS LAB

(CS507PC)

Course Outcomes:

1. Implement data link layer farming methods
2. Analyze error detection and error correction codes.
3. Implement and analyze routing and congestion issues in network design.
4. Implement Encoding and Decoding techniques used in presentation layer
5. To be able to work with different network tools

INTELLECTUAL PROPERTY RIGHTS

(*MC510)

Course Outcomes:

On successful completion of this course the student should be able to:

1. Distinguish and Explain various forms of IPRs.
2. Identify criteria’s to fit one’s own intellectual work in particular form of IPRs.
3. Apply statutory provisions to protect particular form of IPRs.
4. Analyse rights and responsibilities of holder of Patent, Copyright, Trademark, Industrial Designetc.
5. Identify procedure to protect different forms of IPRs national and international level.
6. Develop skill of making search using modern tools and technics.

ESSENCE OF INDIAN KNOWLEDGE TRADITION PART 1

(HS720PE)

Course Outcomes:

1. At the end of the Course, Student will be able to:
2. Identify the concept of Traditional knowledge and its importance.
3. Explain the need and importance of protecting traditional knowledge.
4. IIllustrate the various enactments related to the protection of traditional knowledge.
5. Interpret the concepts of Intellectual property to protect the traditional knowledge.
6. Explain the importance of Traditional knowledge in Agriculture and Medicine.

CRYPTOGRAPHY AND NETWORK SECURITY (Professional Elective - III) 

(CS703PC)

Course Outcomes:

1. Student will be able to understand basic cryptographic algorithms,
2. Student will be able to understand message
3. Student will be able to understand web authentication and security issues
4. Ability to identify information system requirements for both of them such as client and server.
5. Ability to understand the current legal issues towards information security.

DEVOPS

(CS704PC)

Course Outcomes:

On successful completion of this course, students will be able to:

1. Identify components of Devops environment.
2. Describe Software development models and architectures of DevOps.
3. Apply different project management, integration, testing and code deployment tool.
4. Investigate different DevOps Software development models.
5. Assess various Devops practices.
6. Collaborate and adopt Devops in real-time projects.

ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING LAB

(CS706PC)

Course Outcomes:

1. Apply basic principles of AI in solutions that require problem solving, knowledge
   representation, and learning.
2. Show sensitivity to linguistic phenomena and an ability to model them with formal grammar
3. Understand and carry out proper experimental methodology for training
   empirical NLP systems
4. Understand and carry out proper experimental methodology for evaluating
   empirical NLP systems
5. Able to design, implement, and analyze NLP algorithms

NATURAL LANGUAGE PROCESSING

(CS525PE)

Course Outcomes:

1. Show sensitivity to linguistic phenomena and an ability to model them with formal grammars.
2. Understand and carry out proper experimental methodology for training and evaluating
   empirical NLP systems
3. Able to manipulate probabilities, construct statistical models over strings and trees, and
   estimate parameters using supervised and unsupervised training methods.
4. Able to design, implement, and analyze NLP algorithms
5. Able to design different language modeling Techniques.

FUNDAMENTALS OF INTRNET OF THINGS

(EC600OE)

Course Outcomes:

1. Interpret the impact and challenges posed by IoT networks leading to new architectural model
2. Illustrate the smart objects and the technologies to connect them to network.
3. Compare different Application protocols for IoT.
4. Infer the role of Data Analytics and Security in IoT.
5. Identify sensor technologies for sensing real world entities and understand the role of IoT in various domains of Industry.

CRYPTOGRAPHY AND NETWORK SECURITY LAB

(PE – III Lab)

(CS506PC)

Course Outcomes:

1. Understand basic cryptographic algorithms, message and
2.  Understand web authentication and security issues.
3. Identify information system requirements for both of them such as client and server.
4. Understand the current legal issues towards information security.

DEVOPS LAB

Course Outcomes:

1. Identify components of Devops environment
2. Apply different project management, integration, testing and code deployment tool
3. Investigate different DevOps Software development, models
4. Demonstrate continuous integration and development using Jenkins.

ARTIFICIAL INTELLIGENCE

(CS701OE)

Course Outcomes:

1. To learn the distinction between optimal reasoning Vs. human like reasoning
2. To understand the concepts of state space representation, exhaustive search
3. To understand the concepts of heuristic search together with the time and space complexities.
4. To learn different knowledge representation techniques.
5. To understand the applications of AI, namely game playing, theorem proving, and machine
   learning.

CYBER SECURITY

Course Outcomes:

1. Understand cyber-attacks, types of cybercrimes, cyber laws and also how to protect them self and ultimately the entire Internet community from such attacks
2. Understand the Fundamentals of Cyber Security
3. Apply Security Principles to Network Infrastructure
4. Learn about Cryptography and Encryption
5. Analyze and Defend Against Common Cyber Attacks

DEEP LEARNING LAB

Course Outcomes:

1. Upon the Successful Completion of the Course, the Students would be able to:
2. Learn the Fundamental Principles of Deep Learning.
3. Identify the Deep Learning Algorithms for Various Types of Learning Tasks in various domains.
4. Implement Deep Learning Algorithms and Solve Real-world problems.

AD-HOC & SENSOR NETWORKS

 (Professional Elective - V)

Course Outcomes:

1. Ability to understand the state-of-the-art research in the emerging subject of Ad Hoc and Wireless Sensor Networks
2. Ability to solve the issues in real-time application development based on ASN.
3. Ability to conduct further research in the domain of ASN
4.  Analyze data transmission techniques and address network issues
5. Understand the architecture and lower-layer protocols of WSNs

NEURAL NETWORKS AND DEEP LEARNING

Course Outcomes:

1. Ability to understand the concepts of Neural Networks
2. Ability to select the Learning Networks in modeling real world systems
3. Ability to use an efficient algorithm for Deep Models
4. Ability to apply optimization strategies for large scale applications
5. Ability to analyze the challenges in neural networks optimization

REINFORCEMENT LEARNING

Course Outcomes:

1. Understand basics of RL.
2. Understand RL Framework and Markov Decision Process.
3. Analyzing ning through the use of Dynamic Programming and Monte Carlo.
4. Understand TD(0) algorithm.
5. Understand TD(λ) algorithm.

CLOUD COMPUTING (PROFESSIONAL ELECTIVE – IV)

Course Outcomes:

This course provides an insight into cloud computing

Topics covered include-

1. distributed system models,
2. different cloud service models,
3. service oriented architectures,
4. cloud programming and software environments,
5. resource management

PRINCIPLES OF ENTERPRENUERSHIP

Course Outcomes:

1. Understand basics of Entrepreneurship. (Knowledge)
2. Explain financing and managing the new ventures. (Application)
3. Understand schemes and functions of different corporations. (Evaluation)
4. Explain industrial final support from different corporations. (knowledge)
5. Describe production and marking management. (Comprehension)

Mini Project

Course Outcomes:

1. Interpret literature with the purpose of formulating a project proposal
2. Planning, analyzing, designing and implementing a software project using SDLC  model.
3. Finding the solution of identified problem with help of modern technology Giving priority to real life problem
4. Learningtoworkasateamandtofocusongettingaworkingprojectdonewithina stipulated period o f time

Project Stage – I

Course Outcomes:

1. Understand programming language concepts, object oriented concepts as well as software engineering principles or go through the research work and gather knowledge over the field and develop an ability to apply them to software design of real life problems in an industry/ commercial environment
2. Plan, analyze, design a software project and demonstrate the ability to communicate effectively in speech and writing
3. Demonstrate originality in the application of knowledge, together with a practical understanding of how established techniques professional enquiries are used to create and interpret knowledge in their discipline.
4. Introduce with major software engineering topics and position them to lead medium sized software projects in industry or propose any new model over the selected field of research that will be useful for future activities
5. Advance their knowledge and to develop new skills to a high level with complex issues both systematically and creatively, make sound judgments on the complete data, and communicate their conclusions clearly to specialist and non-specialist audiences

RANDOMIZED ALGORITHMS

(Professional Elective – VI)

Course Outcomes:

1. Appreciate the fundamentals of randomized algorithm design.
2. Understand the fundamentals of Markov chains and the Monte Carlo method.
3. Apply high probability analysis to selected randomized algorithms.
4. Understand the Comparison of Fingerprinting Techniques and Pattern Matching
5. Understand  the analysis of different graph algorithms

ORGANIZATIONAL BEHAVIOUR

(HS8251)

Course Outcomes:

1. Students will be able to explain the concept of Organization Design and determine the factors that affect Organization Design.
2. Students will be able to identify the components of Individual Behavior and apply the concept of Learning, Perception, Attitudes and values.
3. The student will be able to distinguish between the various theories of motivation and their application in organizations and also be able to apply these theories to practical problems in organizations. They will also be able to distinguish between a number of different leadership theories & styles and contribute to the effective performance of a team as the team leader or a group member
4. The future managers/ students will be able to analyze the behavior of individuals and groups in organizations in terms of the key factors that influence organizational behavior and demonstrate skills required for working in groups (team building).
5. The students will be able to justify how organizational change and conflict affect working relationships within organizations and demonstrate how to apply relevant theories to solve problems of change and conflict within organizations.

Total Quality Management

(MT802OE)

Course Outcomes:

1. Analyze and Understand what total quality management is. (Application)
2. Analyze the concept of customer focus and satisfaction. (Application)
3. Analyze and describe Total Quality Management Organization. (Application)
4. Describe and explain the working principle of Seven Tools of Total Quality Management. (Knowledge)
5. Understand and Discuss the Cost of Quality in total quality management. (Knowledge)

Project  Stage – II

Course Outcomes:

1. Understand programming language concepts, object oriented concepts as well as software engineering principles or go through the research work and gather knowledge over the field and develop an ability to apply them to software design of real life problems in an industry/ commercial environment
2. Plan, analyze, design a software project and demonstrate the ability to communicate effectively in speech and writing
3. Demonstrate originality in the application of knowledge, together with a practical understanding of how established techniques professional enquiries are used to create and interpret knowledge in their discipline.
4. Introduce with major software engineering topics and position them to lead medium sized software projects in industry or propose any new model over the selected field of research that will be useful for future activities
5. Advance their knowledge and to develop new skills to a high level with complex issues both systematically and creatively, make sound judgments on the complete data, and communicate their conclusions clearly to specialist and non-specialist audiences