About : Department of Artificial Intelligence and Machine Learning

Department of Artificial Intelligence and Machine Learning

The Department of CSE (Artificial Intelligence and Machine Learning), at Don Bosco Institute of Technology (DBIT) in Bangalore, was established in 2020 and had enrolled 60 students, which then increased to 120 students in 2021. DBIT is permanently affiliated with Visvesvaraya Technical University (VTU) in Belagavi, Karnataka.

The department has the most advanced infrastructure, including well-equipped laboratories and a library for teachers and students. It has qualified and experienced teachers with an average experience of 15 years, who are able to complete the teaching, consulting and research process. Faculty and staff emphasize exposure to cutting-edge technology that meets the needs of the industry.

The department has got the greater ambiance of research in diversified areas like Artificial Intelligence and Machine Learning, Internet of Things, Data Science and Big Data Analytics, Mobile Application Development, Distributed/Pervasive/Grid Platforms, Data Mining and Data Warehousing, Digital Image Processing, Virtualization, and Cloud Computing. The department has a 3-Dimensional approach towards placement, higher education, and entrepreneurship to provide equal opportunities to the students. Students are inspired to participate in curricular, co-curricular, and extra-curricular activities along with academics. The department has got a wide technical spectrum through the centre of excellence, special labs, industrial tie-ups, collaboration, MOUs, and online forums.

VISION

Empower the students to be socially responsible technocrats in the area of Artificial Intelligence and Machine Learning through quality education.

MISSION

To impart knowledge and encourage research and innovation in contemporary technologies.
To collaborate with industry and premier institutions for providing enhanced experiential learning.
To enable students to become quick learners and develop cutting-edge AI&ML applications.

Program Educational Objectives (PEOs)

PEO₁:To provide students with a sound knowledge of science, mathematics, and engineering principles together with an in-depth disciplinary knowledge required to succeed in the profession of IT.
PEO₂:To provide students an academic environment with an awareness of advanced technological growth leading to life-long learning needed for a successful professional career, excellence, and leadership.
PEO₃:To train students with a wide scientific and engineering knowledge to comprehend, analyse, design, and create innovative software solutions and products for the problems of real life.
PEO₄:To prepare students for graduate and postgraduate programmes and succeed in their careers in the field of Artificial Intelligence and Machine Learning.
PEO₅:To empower students with effective communication skills, teamwork, a multidisciplinary approach, and an ability to relate engineering issues to the broader social context.
PEO₆:To inculcate in students professional and ethical attitude with a strong character to uphold the spiritual and cultural values.

Program Outcomes (POs)

Program Specific Outcomes (PSOs)

PSO₁:Ability to analyse, interpret, and develop algorithms in the areas related to Artificial Intelligence, Machine Learning, Robotics, Neutral Networks, Big data Analytics, Virtual reality, Natural Language Processing and Internet of Things.
PSO₂:Develop the ability to evolve and adapt as per the new challenges in Artificial Intelligence and Machine Learning.
PSO₂:Develop and apply Artificial Intelligence Techniques to perform human intelligence tasks such as vision, Natural language processing, face and speech recognition.

Short Term Goals

Teach students the basic principles that underlie modern computational technology
Help students apply their knowledge of computer science to the solutions of the problems arising in various disciplines
Enhance students’ ability to communicate ideas clearly and concisely
Familiarise students with current technological trends and breakthroughs in computer science, such as machine learning
Encourage students to participate in national and international events in the field

Long Term Goals

Transform the department and its students into a multidisciplinary stream where students can collaborate with other departments for research
Strive to become a centre of excellence in the discipline
Encourage students to take up entrepreneurship in the field
Widen the scope of the faculty by helping them pursue cross-discipline research topics like robotics and machine vision
Expand current capabilities of research centre and laboratories

Departmental Resources

Well-ventilated class and tutorial rooms equipped with multimedia projectors.
Laboratories with advanced equipment and sophisticated software.
Departmental library
Smart classrooms
Video capturing classrooms

Time Table

Time Table 2024-25

Course Curriculum

First Semester			Second Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	BMATS101	MATHEMATICS-I FOR COMPUTER SCIENCE AND ENGINEERING STREAM	1	BMATS201	MATHEMATICS-II FOR COMPUTER SCIENCE AND ENGINEERING STREAM
2	BCHES102	APPLIED CHEMISTRY FOR COMPUTER SCIENCE &ENGINEERING STREAM	2	BPHYS202	APPLIED PHYSICS FOR CSE STREAM
3	BCEDK103	COMPUTER AIDED ENGINEERING DRAWING	3	BPOPS203	PRINCIPLES OF PROGRAMMING USING C
4	BCEDK106	COMMUNICATIVE ENGLISH	4	BPWSK206	PROFESSIONAL WRITING SKILLS IN ENGLISH
5	BSFHK158	SCIENTIFIC FOUNDATIONS OF HEALTH	5	BICOK207	INDIAN CONSTITUTION
6	BPLCK105B	INTRODUCTION TO PYTHON PROGRAMMING	6	BIDTK258	INNOVATION AND DESIGN THINKING
			7	BESCK204A	INTRODUCTION TO CIVIL ENGINEERING

Third Semester			Fourth Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	BCS301	MATHEMATICS FOR COMPUTER SCIENCE	1	BCS401	ANALYSIS & DESIGN OF ALGORITHMS
2	BCS302	DIGITAL DESIGN AND COMPUTER ORGANIZATION	2	BAD402	ARTIFICIAL INTELLIGENCE
3	BCS303	OPERATING SYSTEMS	3	BCS403	DATABASE MANAGEMENT SYSTEM
4	BCS304	DATA STRUCTURES AND APPLICATIONS	4	BCSL404	ANALYSIS & DESIGN OF ALGORITHMS LAB
5	BCSL305	DATA STRUCTURES LABORATORY	5	BCS405A	ESC/ETC/PLC -DISCRETE MATHEMATICAL STRUCTURES
6	BCS306A	ESC/ETC/PLC- OBJECT ORIENTED PROGRAMMING WITH JAVA	6	BBOC407	BIOLOGY FOR COMPUTER ENGINEERS
7	BSCK307	SOCIAL CONNECT & RESPONSIBILITY	7	BUHK408	UNIVERSAL HUMAN VALUES (UHV)
8	BCS358A	Ability Enhancement Course – III DATA ANALYTICS WITH EXCEL	8	BYOK459	YOGA
9	BYOK359	YOGA	9	BDSL456C	Ability Enhancement Course / Skill Enhancement Course – IV M.E.R.N

Fifth semester
Sl. No	Course Code	Course Title
1	BCS501	SOFTWARE ENGINEERING & PROJECT MANAGEMENT
2	BCS502	COMPUTER NETWORKS
3	BCS503	THEORY OF COMPUTATION
4	BAIL504	DATA VISUALIZATION LAB
5	BAI515B	Professional Elective Course- INFORMATION RETRIEVAL
6	BCS508	ENVIRONMENTAL STUDIES AND E-WASTE MANAGEMENT
7	BRMK557	RESEARCH METHODOLOGY & IPR
8	BYOK559	YOGA
9	BCI586	Mini Project

First Semester			Second Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	21MAT11	CALCULUS AND DIFFERENTIAL EQUATIONS	1	21MAT21	ADVANCED CALCULUS AND NUMERICAL METHODS
2	21CHE12	ENGINEERING CHEMISTRY	2	21PHY22	ENGINEERING PHYSICS
3	21PSP13	PROBLEM-SOLVING THROUGH PROGRAMMING	3	21ELE23	BASIC ELECTRICAL ENGINEERING
4	21ELN14	BASIC ELECTRONICS & COMMUNICATION ENGINEERING	4	21CIV24	ELEMENTS OF CIVIL ENGINEERING AND MECHANICS
5	21EME15	ELEMENTS OF MECHANICAL ENGINEERING	5	21EVN25	ENGINEERING VISUALIZATION
6	21CHEL16	ENGINEERING CHEMISTRY LABORATORY	6	21PHYL26	ENGINEERING PHYSICS LABORATORY
7	21CPL17	COMPUTER PROGRAMMING LABORATORY	7	21ELEL27	BASICELECTRICALENGINEERINGLABORATORY
8	21EGH18	COMMUNICATIVE ENGLISH	8	21EGH28	PROFESSIONAL WRITING SKILLS IN ENGLISH
9	21SFH19	SCIENTIFIC FOUNDATIONS OF HEALTH	9	21IDT29	INNOVATION and DESIGN THINKING

Third Semester			Fourth Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	21MAT31	TRANSFORM CALCULUS, FOURIER SERIES AND NUMERICAL TECHNIQUES	1	21MAT41	COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS
2	21CS32	DATA STRUCTURES AND APPLICATIONS	2	21CS42	DESIGN AND ANALYSIS OF ALGORITHMS
3	21CS33	ANALOG AND DIGITAL ELECTRONICS	3	21CS43	MICROCONTROLLER AND EMBEDDED SYSTEMS
4	21CS34	COMPUTER ORGANIZATION AND ARCHITECTURE	4	21CS44	OPERATING SYSTEMS
5	21CSL35	OBJECT ORIENTED PROGRAMMING WITH JAVA LABORATORY	5	21BE45	BIOLOGY FOR ENGINEERS
6	21SCR36	SOCIAL CONNECT & RESPONSIBILITIES	6	21CSL46	PYTHON PROGRAMMING LABORATORY
7	21CIP37	CONSTITUTION OF INDIA AND PROFESSIONAL ETHICS (CIP)	7	21MATDIP41	ADDITIONAL MATHEMATICS-II
8	21CS382	Ability Enhancement Course - III PROGRAMMING IN C++	8	21KBK37/47 21KBK37/47	BALAKE KANNADA / SAMSKRUTIKA KANNADA
			9	21CS482	Ability Enhancement Course- IV UNIX SHELL PROGRAMMING
			10	21UHV49	UNIVERSAL HUMAN VALUES-II: UNDERSTANDING HARMONY and ETHICAL HUMAN CONDUCT
			11	INT 21INT49	Inter/Intra Institutional Internship

Fifth Semester			Sixth semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	21CS51	AUTOMATA THEORY AND COMPILER DESIGN	1	21CS61	SOFTWARE ENGINEERING & PROJECT MANAGEMENT
2	21CS52	COMPUTER NETWORKS	2	21AD62	DATA SCIENCE AND ITS APPLICATIONS
3	21CS53	DATABASE MANAGEMENT SYSTEMS	3	21AI63	MACHINE LEARNING
4	21AI54	PRINCIPLES OF ARTIFICIAL INTELLIGENCE	4	21AI641	Professional Elective Course-I BUSINESS INTELLIGENCE
5	21CSL55	DATABASE MANAGEMENT SYSTEM LABORATORY WITH MINI PROJECT	5	21EE652	Open Elective Course-I RENEWABLE ENERGY RESOURCES
6	21RMI56	RESEARCH METHODOLOGY & INTELLECTUAL PROPERTY RIGHTS	6	21AIL66	MACHINE LEARNING LAB
7	21CIV57	ENVIRONMENTAL STUDIES	7	MP 21AIMP67	MINI PROJECT
8	21CSL581	Ability Enhancement Course - IV ANGULAR JS AND NODE JS	8	INT 21INT68	INNOVATION/ENTREPRENEURSHIP /SOCIETAL INTERNSHIP

Seventh Semester			Eight Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	21AI71	ADVANCED AI AND ML	1	Seminar 21AI81	TECHNICAL SEMINAR
2	21CS72	CLOUD COMPUTING	2	INT 21INT82	RESEARCH INTERNSHIP/ INDUSTRYINTERNSHIP
3	21CS732	Professional elective Course-II DIGITAL IMAGE PROCESSING	3	21NS83	NATIONAL SERVICE SCHEME (NSS)
4	21AI741	Professional elective Course-III AUGMENTED REALITY
5	21EE752	Open elective Course-II ELECTRIC VEHICLES
6	21EE755	Open elective Course-II ENERGY CONSERVATION AND AUDIT
7	6 Project 21AIP76	PROJECT WORK

First Semester (Physics Cycle)			Second Semester (Chemistry Cycle)
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	18MAT11	CALCULUS AND LINEAR ALGEBRA	1	18MAT21	ADVANCED CALCULUS AND NUMERICAL METHODS
2	18PHY12	ENGINEERING PHYSICS	2	21CHE22	ENGINEERING CHEMISTRY
3	18ELE13	BASIC ELECTRICAL ENGINEERING	3	18CPS23	C PROGRAMMING FOR PROBLEM SOLVING
4	18CIV14	ELEMENTS OF CIVIL ENGINEERING & MECHANICS	4	18ELN24	BASIC ELECTRONICS
5	18EGDL15	ENGINEERING GRAPHICS	5	18ME25	ELEMENTS OF MECHANICAL ENGINEERING
6	18PHYL16	ENGINEERING PHYSICS LAB	6	18CHEL26	ENGINEERING CHEMISTRY LABORATORY
7	18ELEL17	BASIC ELECTRICAL ENGG. LAB	7	18CPL27	C PROGRAMMING LABORATORY
8	18EGH18	TECHNICAL ENGLISH - I	8	18EGH28	TECHNICAL ENGLISH - II

Third Semester			Fourth Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	18MAT31	TRANSFORM, CALCULUS, FOURIER SERIES & NUMERICAL TECHNIQUES	1	18MAT41	COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS
2	18CS32	DATA STRUCTURES AND APPLICATIONS	2	18CS42	DESIGN AND ANALYSIS OF ALGORITHM
3	18CS33	ANALOG AND DIGITAL ELECTRONICS	3	18CS43	OPERATING SYSTEMS
4	18CS34	COMPUTER ORGANIZATION	4	18SC44	MICROCONTROLLER AND EMBEDDED
5	18CS35	SOFTWARE ENGINEERING	5	18CS45	OBJECT ORIENTED CONCEPTS
6	18CS36	DISCRETE MATHEMATICAL STRUCTURES	6	18CS46	DATA COMMUNICATION
7	18CSL37	ANALOG AND DIGITAL ELECTRONICS	7	18CSL47	DESIGN AND ANALYSIS OF ALGORITHM
8	18CSL38	DATA STRUCTURES LABORATORY	8	18CSL48	MICROCONTROLLER AND EMBEDDED
9	18CPH39	CONSTITUTION OF INDIA, PROFESSIONAL ETHICS AND CYBER LAW	9	18KAK49	AADELITHA KANNADA

Fifth Semester			Sixth Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	18CS51	MANAGEMENT AND ENTREPRENEURSHIPFOR IT INDUSTRY	1	18AI61	MACHINE LEARNING
2	18AI52	PYTHON PROGRAMMING	2	18AI62	DIGITAL IMAGE PROCESSING
3	18CS53	DATABASE MANAGEMENT SYSTEMS	3	18AI63	JAVA FORMOBILE APPLICATIONS
4	18CS54	AUTOMATA THEORY AND COMPUTABILITY	4	18AI641	Professional Elective-1 NATURAL LANGUAGE PROCESSING
5	18AI55	PRINCIPLES OF ARTIFICIAL INTELLIGENCE	5	18AIL66	MACHINE LEARNING LABORATORY
6	18AI56	MATHEMATICS FOR MACHINE LEARNING	6	18AIL67	DIGITAL IMAGE PROCESSING LABORATORY WITH MINI PROJECT
7	18AIL57	ARTIFICIAL INTELLIGENCE LABORATORY	7	18AIMP68	MOBILE APPLICATION DEVELOPMENTLABORATORY
8	18CSL58	DBMS LABORATORY WITH MINI PROJECT	8	18CV655	Open Elective- INTELLIGENT TRANSPORTATION SYSTEMS
9	18CIV59	ENVIRONMENTAL STUDIES

Seventh Semester			Eight Semester
Sl. No	Course Code	Course Title	Sl. No	Course Code	Course Title
1	18AI71	ADVANCED ARTIFICIAL INTLLIGENCE	1	18AI81	NEURAL NETWORKS AND DEEP LEARNING
2	18AI72	ADVANCED MACHINE LEARNING	2	18AI823	Professional Elective-4 ROBOTIC PROCESS AUTOMATION DESIGN & DEVELOPMENT
3	18AI731	Professional Elective-2 INTERNET OF THINGS	3	18AIP83	PROJECT WORK PHASE-2
4	18AI743	Professional Elective-3 SEMANTIC WEB AND SOCIAL NETWORKS	4	18AIS84	TECHNICAL SEMINAR
5	18EE753	Open Elective- ELECTRIC VECHILES	5	18AII85	INTERNSHIP
6	18EE754	Open Elective- ENERGY COSERVATION & AUDIT
7	18EC62	Open Elective- ARM EMBEDDED SYSTEMS
8	18AIL76	AI & ML APPLICATION DEVELOPMENT LABORATORY
9	18AIP77	PROJECT WORK PHASE-1

Course Outcomes (CO)

First Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	MATHEMATICS-I FOR COMPUTER SCIENCE AND ENGINEERING STREAM	BMATS101	CO 1.	apply the knowledge of calculus to solve problems related to polar curves andlearn the notion of partial differentiation to compute rate of change of multivariate functions
			CO 2.	analyze the solution of linear and nonlinear ordinary differential equations
			CO 3.	get acquainted and to apply modular arithmetic to computer algorithms
			CO 4.	make use of matrix theory for solving the system of linear equations and compute eigenvalues and eigenvectors
			CO 5.	familiarize with modern mathematical tools namely MATHEMATICA/MATLAB/ PYTHON/ SCILAB
2	APPLIED CHEMISTRY FOR COMPUTER SCIENCE &ENGINEERING STREAM	BCHES102	CO 1.	Identify the termsandapplications processes involved in scientific and engineering
			CO 2.	Explainthephenomenaofchemistrytodescribethemethodsofengineeringprocesses
			CO 3.	Solvetheproblemsinchemistrythatarepertinentinengineeringapplications
			CO 4.	Applythebasicconceptsofchemistrytoexplainthechemicalpropertiesandprocesses
			CO 5.	Analyzepropertiesandmultidi sciplinarysituations processes associated withchemical substances in sciplinarysituations
3	COMPUTER AIDED ENGINEERING DRAWING	BCEDK103	CO 1.	Drawand communicate the objects with definite shape and dimensions
			CO 2.	Recognize andDraw the shape and size of objects through different views
			CO 3.	Develop the lateral surfaces of the object
			CO 4.	Create a Drawing views using CAD software.
			CO 5.	Identify the interdisciplinary engineering components or systems through its graphical representation.
4	COMMUNICATIVE ENGLISH	BCEDK106	CO 1.	Understand and apply the Fundamentals of Communication Skills in their communication skills.
			CO 2.	Identify the nuances of phonetics, intonation and enhance pronunciation skills.
			CO 3.	To impart basic English grammar and essentials of language skills as per present requirement.
			CO 4.	Understand and use all types of English vocabulary and language proficiency.
			CO 5.	Adopt the Techniques of Information Transfer through presentation.
5	SCIENTIFIC FOUNDATIONS OF HEALTH	BSFHK158	CO 1.	To understand and analyse about Health and wellness (and its Beliefs) & It’s balance for positive mindset.
			CO 2.	Develop the healthy lifestyles for good health for their better future.
			CO 3.	Build a Healthy and caring relationships to meet the requirements of good/social/positive life.
			CO 4.	To learn about Avoiding risks and harmful habits in their campus and outside the campus for their bright future.
			CO 5.	Prevent and fight against harmful diseases for good health through positive mindset.
6	INTRODUCTION TO PYTHON PROGRAMMING	BPLCK105B	CO 1.	Demonstrate proficiency in handling loops and creation of functions.
			CO 2.	Identify the methods to create and manipulate lists, tuples and dictionaries.
			CO 3.	Develop programs for string processing and file organization
			CO 4.	Interpret the concepts of Object-Oriented Programming as used in Python.

Second Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	MATHEMATICS-II FOR COMPUTER SCIENCE AND ENGINEERING STREAM	BMATS201	CO 1.	Apply the concept of change of order of integration and variables to evaluate multiple integrals and their usage in computing area and volume.
			CO 2.	Understand the applications of vector calculus refer to solenoidal, and irrotational vectors.Orthogonal curvilinear coordinates.
			CO 3.	Demonstrate the idea of Linear dependence and independence of sets in the vector space, and linear transformation
			CO 4.	Apply the knowledge of numerical methods in analysing the discrete data and solving the physical and engineering problems.
			CO 5.	Get familiarize with modern mathematical tools namely MATHEMATICA/ MATLAB /PYTHON/ SCILAB
2	APPLIED PHYSICS FOR CSE STREAM	BPHYS202	CO 1.	To understand and identify the Common Errors in Writing and Speaking.
			CO 2.	To Achieve better Technical writing and Presentation skills.
			CO 3.	To read Technical proposals properly and make them to Write good technical reports.
			CO 4.	Acquire Employment and Workplace communication skills.
			CO 5.	To learn about Techniques of Information Transfer through presentation in different level.
3	PRINCIPLES OF PROGRAMMING USING C	BPOPS203	CO 1.	Elucidate the basic architecture and functionalities of a computer and also recognize the hardware parts.
			CO 2.	Apply programming constructs of C language to solve the real world problem
			CO 3.	Explore user-defined data structures like arrays in implementing solutions to problems like searching and sorting
			CO 4.	Explore user-defined data structures like structures, unions and pointers in implementing solutions
			CO 5.	Design and Develop Solutions to problems using modular programming constructs using functions
4	PROFESSIONAL WRITING SKILLS IN ENGLISH	BPWSK206	CO 1.	To understand and identify the Common Errors in Writing and Speaking.
			CO 2.	To Achieve better Technical writing and Presentation skills.
			CO 3.	To read Technical proposals properly and make them to Write good technical reports.
			CO 4.	Acquire Employment and Workplace communication skills.
			CO 5.	To learn about Techniques of Information Transfer through presentation in different level.
5	INDIAN CONSTITUTION	BICOK207	CO 1.	Analyse the basic structure of Indian Constitution.
			CO 2.	Remember their Fundamental Rights, DPSP’s and Fundamental Duties (FD’s) of our constitution.
			CO 3.	know about our Union Government, political structure & codes, procedures.
			CO 4.	Understand our State Executive & Elections system of India.
			CO 5.	Remember the Amendments and Emergency Provisions, other important provisions given by the constitution.
6	INNOVATION and DESIGN THINKING	BIDTK258	CO 1.	Appreciate various design process procedure
			CO 2.	Generate and develop design ideas through different technique
			CO 3.	Identify the significance of reverse Engineering to Understand products
			CO 4.	Draw technical drawing for design ideas
7	INTRODUCTION TO CIVIL ENGINEERING	BESCK204A	CO 1.	Understand the various disciplines of civil engineering
			CO 2.	Understand the infrastructure requirement for sustainable development
			CO 3.	Compute the resultant and equilibrium of force systems.
			CO 4.	Locate the centroid of plane and built-up sections
			CO 5.	Compute the moment of inertia of plane and built-up sections.

Third Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	MATHEMATICS FOR COMPUTER SCIENCE	BCS301	CO 1.	Explain the basic concepts of probability, random variables, probability distribution
			CO 2.	Apply suitable probability distribution models for the given scenario.
			CO 3.	Apply the notion of a discrete-time Markov chain and n-step transition probabilities to solve the given problem
			CO 4.	Use statistical methodology and tools in the engineering problem-solving process.
			CO 5.	Compute the confidence intervals for the mean of the population.
			CO 6.	Apply the ANOVA test related to engineering problems.
2	DIGITAL DESIGN AND COMPUTER ORGANIZATION	BCS302	CO 1.	Apply the K–Map techniques to simplify various Boolean expressions.
			CO 2.	Design different types of combinational and sequential circuits along with Verilog programs.
			CO 3.	Describe the fundamentals of machine instructions, addressing modes and Processor performance.
			CO 4.	Explain the approaches involved in achieving communication between processor and I/O devices.
			CO 5.	Analyze internal Organization of Memory and Impact of cache/Pipelining on Processor Performance.
3	OPERATING SYSTEMS	BCS303	CO 1.	Explain the structure and functionality of operating system
			CO 2.	Apply appropriate CPU scheduling algorithms for the given problem.
			CO 3.	Analyse the various techniques for process synchronization and deadlock handling.
			CO 4.	Apply the various techniques for memory management
			CO 5.	Explain file and secondary storage management strategies.
			CO 6.	Describe the need for information protection mechanisms
4	DATA STRUCTURES AND APPLICATIONS	BCS304	CO 1.	Explain different data structures and their applications.
			CO 2.	Apply Arrays, Stacks and Queue data structures to solve the given problems.
			CO 3.	Use the concept of linked list in problem solving.
			CO 4.	Develop solutions using trees and graphs to model the real-world problem.
			CO 5.	Explain the advanced Data Structures concepts such as Hashing Techniques and Optimal
5	DATA STRUCTURES LABORATORY	BCSL305	CO 1.	Analyze various linear and non-linear data structures
			CO 2.	Demonstrate the working nature of different types of data structures and their applications
			CO 3.	Use appropriate searching and sorting algorithms for the give scenario.
			CO 4.	Apply the appropriate data structure for solving real world problems
6	OBJECT ORIENTED PROGRAMMING WITH JAVA	BCS306A	CO 1.	Demonstrate proficiency in writing simple programs involving branching and looping structures.
			CO 2.	Design a class involving data members and methods for the given scenario.
			CO 3.	Apply the concepts of inheritance and interfaces in solving real world problems.
			CO 4.	Use the concept of packages and exception handling in solving complex problem
			CO 5.	Apply concepts of multithreading, autoboxing and enumerations in program development
7	SOCIAL CONNECT & RESPONSIBILITY	BSCK307	CO 1.	Communicate and connect to the surrounding.
			CO 2.	Create a responsible connection with the society.
			CO 3.	Involve in the community in general in which they work.
			CO 4.	Notice the needs and problems of the community and involve them in problem –solving.
			CO 5.	Develop among themselves a sense of social & civic responsibility & utilize their knowledge in finding practical solutions to individual and community problems.
			CO 6.	Develop competence required for group-living and sharing of responsibilities & gain skills in mobilizing community participation to acquire leadership qualities and democratic attitudes.
8	DATA ANALYTICS WITH EXCEL	BCS358A	CO 1.	Use advanced functions and productivity tools to assist in developing worksheets.
			CO 2.	Manipulate data lists using Outline and PivotTables.
			CO 3.	Use Consolidation to summarise and report results from multiple worksheets.
			CO 4.	Apply Macros and Autofilter to solve the given real world scenario.
9	YOGA FOR A BETTER LIFE	BYOK359	CO 1.	Understand the meaning, aim and objectives of Yoga.
			CO 2.	Perform Suryanamaskar and able to Teach its benefits.
			CO 3.	Understand and teach different Asanas by name, its importance, methods and benefits.
			CO 4.	Instruct Kapalabhati and its need and importance.
			CO 5.	Teach different types of Pranayama by its name, precautions, procedure and uses
			CO 6.	Coach different types of Kriyas , method to follow and usefulness.

Fourth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	ANALYSIS & DESIGN OF ALGORITHMS	BCS401	CO 1.	Apply asymptotic notational method to analyze the performance of the alg in terms of time coorithmsmplexity.
			CO 2.	Demonstrate divide & conquer approaches and decrease & conquer approaches to solve computational problems.
			CO 3.	Make use of transform & conquer and dynamic programming design approaches to solve the given real world or complex computational problems.
			CO 4.	Apply greedy and input enhancement methods to solve graph & string based computational problems.
			CO 5.	Analyse various classes (P,NP and NP Complete) of problems
			CO 6.	Illustrate backtracking, branch & bound and approximation methods
2	ARTIFICIAL INTELLIGENCE	BAD402	CO 1.	Apply knowledge of agent architecture, searching and reasoning techniques for different applications.
			CO 2.	Compare various Searching and Inferencing Techniques.
			CO 3.	Develop knowledge base sentences using propositional logic and first order logic
			CO 4.	Describe the concepts of quantifying uncertainty.
			CO 5.	Use the concepts of Expert Systems to build applications.
3	DATABASE MANAGEMENT SYSTEM	BCS403	CO 1.	Describe the basic elements of a relational database management system
			CO 2.	Design entity relationship for the given scenario.
			CO 3.	Apply various Structured Query Language (SQL) statements for database manipulation.
			CO 4.	Analyse various normalization forms for the given application.
			CO 5.	Develop database applications for the given real world problem.
			CO 6.	Understand the concepts related to NoSQL databases.
4	ANALYSIS & DESIGN OF ALGORITHMS LAB	BCSL404	CO 1.	Develop programs to solve computational problems using suitable algorithm design strategy.
			CO 2.	Compare algorithm design strategies by developing equivalent programs and observing running times for analysis (Empirical).
			CO 3.	Make use of suitable integrated development tools to develop programs
			CO 4.	Choose appropriate algorithm design techniques to develop solution to the computational and complex problems.
			CO 5.	Demonstrate and present the development of program, its execution and running time(s) and record the results/inferences
5	OPTIMIZATION TECHNIQUE	BCS405C	CO 1.	Apply the concepts of vector calculus to solve the given problem.
			CO 2.	Apply the concepts of partial differentiation in machine learning and deep neural networks.
			CO 3.	Analyze the convex optimization algorithms and their importance in computer science & engineering.
			CO 4.	Apply the optimization algorithms to solve the problem.
			CO 5.	Analyze the advanced optimization algorithms for machine learning .
6	BIOLOGY FOR ENGINEERS (CSE)	BBOC407	CO 1.	Elucidate the basic biological concepts via relevant industrial applications and case studies.
			CO 2.	Evaluate the principles of design and development, for exploring novel bioengineering projects.
			CO 3.	Corroborate the concepts of biomimetics for specific requirements.
			CO 4.	Think critically towards exploring innovative biobased solutions for socially relevant problems.
7	UNIVERSAL HUMAN VALUES (UHV)	BUHK408	CO 1.	They would become more responsible in life, and in handling problems with sustainable solutions, while keeping human relationships and human nature in mind.
			CO 2.	They would have better critical ability.
			CO 3.	They would also become sensitive to their commitment towards what they have understood (human values, human relationship and human society).
			CO 4.	It is hoped that they would be able to apply what they have learnt to their own self in different day-to-day settings in real life, at least a beginning would be made in this direction.
8	YOGA FOR A BETTER LIFE	BYOK459	CO 1.	Understand the meaning, aim and objectives of Yoga.
			CO 2.	Perform Suryanamaskar and able to Teach its benefits.
			CO 3.	Understand and teach different Asanas by name, its importance, methods and benefits.
			CO 4.	Instruct Kapalabhati and its need and importance.
			CO 5.	Teach different types of Pranayama by its name, precautions, procedure and uses
			CO 6.	Coach different types of Kriyas , method to follow and usefulness.
9	M.E.R.N	BDSL456C	CO 1.	Apply the fundamentals of MongoDB, such as data modelling, CRUD operations, and basic queries to solve given problem.
			CO 2.	Use constructs of Express.js, including routing, software and constructing RESTful APIs to solve real world problems.
			CO 3.	Develop scalable and efficient RESTful APIs using NodeJS.
			CO 4.	Develop applications using React, including components, state, props, and JSX syntax.

Fifth semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	SOFTWARE ENGINEERING & PROJECT MANAGEMENT	BCS501	CO 1.	Differentiate process models to judge which process model has to be adopted for the given scenarios.
			CO 2.	Derive both functional and nonfunctional requirements from the case study.
			CO 3.	Analyze the importance of various software testing methods and agile methodology.
			CO 4.	Illustrate the role of project planning and quality management in software development.
			CO 5.	Identify appropriate techniques to enhance software quality.
2	COMPUTER NETWORKS	BCS502	CO 1.	Explain the fundamentals of computer networks.
			CO 2.	Apply the concepts of computer networks to demonstrate the working of various layers and protocols in communication network.
			CO 3.	Analyze the principles of protocol layering in modern communication systems.
			CO 4.	Demonstrate various Routing protocols and their services using tools such as Cisco packet tracer.
3	THEORY OF COMPUTATION	BCS503	CO 1.	Apply the fundamentals of automata theory to write DFA, NFA, Epsilon-NFA and conversion between them.
			CO 2.	Prove the properties of regular languages using regular expressions.
			CO 3.	Design context-free grammars (CFGs) and pushdown automata (PDAs) for formal languages.
			CO 4.	Design Turing machines to solve the computational problems.
			CO 5.	Explain the concepts of decidability and undecidability.
4	DATA VISUALIZATION LAB	BAIL504	CO 1.	Design the experiment to create basic charts and graphs using Tableau and Power BI.
			CO 2.	Develop the solution for the given real world problem.
			CO 3.	Analyze the results and produce substantial written documentation.
5	INFORMATION RETRIEVAL	BAI515B	CO 1.	Identify the models and the tools for building an Information Retrieval system.
			CO 2.	Apply query based operations for information retrieval.
			CO 3.	Use of text based operations for information retrieval from the documents.
			CO 4.	Apply indexing and searching techniques for information retrieval.
			CO 5.	Design user interface for search and retrieval of information from the web/documents.
6	ENVIRONMENTAL STUDIES AND E-WASTE MANAGEMENT	BCS508	CO 1.	Comprehend the principles of ecology and environmental issues pertaining to air, land, and water on a global scale.
			CO 2.	Acquire observation skills for solving problems related to the environment.
			CO 3.	Conduct survey to describe the realities of waste management system.
7	RESEARCH METHODOLOGY & IPR	BRMK557	CO 1.	To know the meaning of engineering research.
			CO 2.	To know the procedure of the literature Review and Technical Reading
			CO 3.	To understand the fundamentals of the patent laws and drafting procedure
			CO 4.	Understanding the copyright laws and subject matters of copyrights and designs
			CO 5.	Under standing the basic principles of design rights
8	YOGA FOR A BETTER LIFE	BYOK559	CO 1.	Understand the meaning, aim and objectives of Yoga.
			CO 2.	Perform Suryanamaskar and able to Teach its benefits.
			CO 3.	Understand and teach different Asanas by name, its importance, methods and benefits.
			CO 4.	Instruct Kapalabhati and its need and importance.
			CO 5.	Teach different types of Pranayama by its name, precautions, procedure and uses
			CO 6.	Coach different types of Kriyas , method to follow and usefulness.

First Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	CALCULUS AND DIFFERENTIAL EQUATIONS	21MAT11	CO 1.	Apply the knowledge of calculus to solve problems related to polar curves and its applications in determining the bentness of a curve.
			CO 2.	Learn the notion of partial differentiation to calculate rate of change of multivariate functions and solve problems related to composite functions and Jacobian.
			CO 3.	Solve first-order linear/nonlinear ordinary differential equations analytically using standard methods.
			CO 4.	Demonstrate various models through higher order differential equations and solve such linear ordinary differential equations.
			CO 5.	Test the consistency of a system of linear equations and to solve them by direct and iterative methods.
2	ENGINEERING CHEMISTRY	21CHE12	CO 1.	Discuss the electrochemical energy systems such as electrodes and batteries.
			CO 2.	Explain the fundamental concepts of corrosion, its control and surface modification methods namely electroplating and electroless plating
			CO 3.	Enumerate the importance, synthesis and applications of polymers. Understand properties and application of nanomaterials.
			CO 4.	Describe the principles of green chemistry, understand properties and application alternative fuels.
			CO 5.	Illustrate the fundamental principles of water chemistry, applications of volumetric and analytical instrumentation.
3	PROBLEM-SOLVING THROUGH PROGRAMMING	21PSP13	CO 1.	Elucidate the basic architecture and functionalities of a computer and also recognize the hardware parts.
			CO 2.	Apply programming constructs of C language to solve the real world problem
			CO 3.	Explore user-defined data structures like arrays in implementing solutions to problems like searching and sorting
			CO 4.	Explore user-defined data structures like structures, unions and pointers in implementing solutions
			CO 5.	Design and Develop Solutions to problems using modular programming constructs using functions
4	BASIC ELECTRONICS & COMMUNICATION ENGINEERING	21ELN14	CO 1.	Describe the concepts of electronic circuits encompassing power supplies, amplifiers and oscillators.
			CO 2.	Present the basics of digital logic engineering including data representation, circuits and the microcontroller system with associated sensors and actuators.
			CO 3.	Discuss the characteristics and technological advances of embedded systems.
			CO 4.	Relate to the fundamentals of communication engineering spanning from the frequency spectrum to the various circuits involved including antennas.
			CO 5.	Explain the different modes of communications from wired to wireless and the computing involved.
5	ELEMENTS OF MECHANICAL ENGINEERING	21EME15	CO 1.	Understand basic concepts of mechanical engineering in the fields of energy and its utilization, materials technology, manufacturing techniques, and transmission systems through demonstrations.
			CO 2.	Understand the application of energy sources in Power generation and utilization, Engineering materials, manufacturing, and machining techniques leading to the latest advancements and transmission systems in day to day activities
			CO 3.	Apply the skills in developing simple mechanical elements and processes
6	ENGINEERING CHEMISTRY LABORATORY	21CHEL16	CO 1.	Determine the pKa and coefficient of Viscosity of a given organic liquid.
			CO 2.	Estimate the amount of substance present in the given solution using Potentiometer Conductometric and Colorimetric.
			CO 3.	Determine the total hardness and chemical oxygen demand in the given solution by volumetric analysis method
			CO 4.	Estimate the percentage of Nickel, copper and Iron in the given analyte solution by titration method.
			CO 5.	Demonstrate flame photometric estimation of sodium & potassium and the synthesis of nanomaterials by Precipitation method
7	COMPUTER PROGRAMMING LABORATORY	21CPL17	CO 1.	Define the problem statement and identify the need for computer programming
			CO 2.	Make use of C compiler, IDE for programming, identify and correct the syntax and syntactic errors in programming
			CO 3.	Develop algorithm, flowchart and write programs to solve the given problem
			CO 4.	Demonstrate use of functions, recursive functions, arrays, strings, structures and pointers in problem solving.
			CO 5.	Document the inference and observations made from the implementation.
8	COMMUNICATIVE ENGLISH	21EGH18	CO 1.	Understand and apply the Fundamentals of Communication Skills in their communication skills.
			CO 2.	Identify the nuances of phonetics, intonation and enhance pronunciation skills.
			CO 3.	To impart basic English grammar and essentials of language skills as per present requirement.
			CO 4.	Understand and useall types of English vocabulary and language proficiency.
			CO 5.	AdopttheTechniques of Information Transfer through presentation.
9	SCIENTIFIC FOUNDATIONS OF HEALTH	21SFH19	CO 1.	To understand and analyse about Health and wellness (and its Beliefs) & It’s balance for positive mindset.
			CO 2.	Develop the healthy lifestyles for good health for their better future.
			CO 3.	Build a Healthy and caring relationships to meet the requirements of good/social/positive life.
			CO 4.	To learn about Avoiding risks and harmful habits in their campus and outside the campus for their bright future.
			CO 5.	Prevent and fight against harmful diseases for good health through positive mindset.

Second Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	ADVANCED CALCULUS AND NUMERICAL METHODS	21MAT21	CO 1.	Apply the concept of change of order of integration and change of variables to evaluate multiple integrals and their usage in computing the area and volume
			CO 2.	Illustrate the applications of multivariate calculus to understand the solenoidal and irrotational vectors and also exhibit the inter dependence of line, surface and volume integrals.
			CO 3.	Formulate physical problems to partial differential equations and to obtain solution for standard practical PDE’s.
			CO 4.	Apply the knowledge of numerical methods in modelling of various physical and engineering phenomena.
			CO 5.	Solve first order ordinary differential equations arising in engineering problems.
2	ENGINEERING PHYSICS	21PHY22	CO 1.	Interpret the types of mechanical vibrations and their applications, the role of Shock waves in various fields.
			CO 2.	Demonstrate the quantisation of energy for microscopic system.
			CO 3.	App[y LASER and Optical fibers in opto electronic system.
			CO 4.	Illustrate merits of quantum free electron theory and applications of Hall effect.
			CO 5.	Analyse the importance of XRD and Electron Microscopy in Nano material characterization.
3	BASIC ELECTRICAL ENGINEERING	21ELE23	CO 1.	Analyse basic DC and AC electric circuits.
			CO 2.	Explain the working principles of transformers and electrical machines.
			CO 3.	Explain the concepts of electric power transmission and distribution of power.
			CO 4.	Understand the wiring methods, electricity billing, and working principles of circuit protectivedevices and personal safety measures.
4	ELEMENTS OF CIVIL ENGINEERING AND MECHANICS	21CIV24	CO 1.	Understand the various fields of civil engineering.
			CO 2.	Compute the resultant of a force system and resolution of a force.
			CO 3.	Comprehend the action for forces, moments, and other types of loads on rigid bodies and compute the reactive forces.
			CO 4.	Analyze the bodies in motion.
5	ENGINEERING VISUALIZATION	21EVN25	CO 1.	Understand and visualize the objects with definite shape and dimensions
			CO 2.	Analyze the shape and size of objects through different views
			CO 3.	Develop the lateral surfaces of the object
			CO 4.	Create a 3D view using CAD software.
			CO 5.	Identify the interdisciplinary engineering components or systems through its graphical representation.
6	ENGINEERING PHYSICS LABORATORY	21PHYL26	CO 1.	Understand the measuring techniques
			CO 2.	Operate different instruments and be capable to analyse the experimental results.
			CO 3.	Construct the circuits and theiranalysis
7	BASICELECTRICALENGINEERINGLABORATORY	21ELEL27	CO 1.	verifyKCLandKVLandmaximumpower transfertheoremforDCcircuits. comparepowerfactorsofdifferenttypesoflamps.
			CO 2.	demonstratethemeasurementofthe impedanceofanelectricalcircuitandpowerconsumedbya3-phase load.
			CO 3.	analyzetwo-wayand three-waycontroloflamps.
			CO 4.	explaintheeffectsofopenandshortcircuitsinsimplecircuits.
			CO 5.	interpretthe suitabilityofearthresistance measured.
8	PROFESSIONAL WRITING SKILLS IN ENGLISH	21EGH28	CO 1.	To understand and identify the Common Errors in Writing and Speaking.
			CO 2.	To Achieve better Technical writing and Presentation skills.
			CO 3.	To read Technical proposals properly and make them to Write good technical reports.
			CO 4.	Acquire Employment and Workplace communication skills.
			CO 5.	To learn about Techniques of Information Transfer through presentation in different level.
9	INNOVATION and DESIGN THINKING	21IDT29	CO 1.	Appreciate various design process procedure
			CO 2.	Generate and develop design ideas through different technique
			CO 3.	Identify the significance of reverse Engineering to Understand products
			CO 4.	Draw technical drawing for design ideas

Third Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	TRANSFORM CALCULUS, FOURIER SERIES AND NUMERICAL TECHNIQUES	21MAT31	CO 1.	To solve ordinary differential equations using Laplace transform.
			CO 2.	Demonstrate Fourier series to study the behaviour of periodic functions and their applications in system communications, digital signal processing and field theory.
			CO 3.	To use Fourier transforms to analyze problems involving continuous-time signals and to apply Z-Transform techniques to solve difference equations
			CO 4.	To solve mathematical models represented by initial or boundary value problems involving partial differential equations
			CO 5.	Determine the extremals of functionals using calculus of variations and solve problems arising in dynamics of rigid bodies and vibrational analysis.
2	DATA STRUCTURES AND APPLICATIONS	21CS32	CO 1.	Identify different data structures and their applications.
			CO 2.	Apply stack and queues in solving problems.
			CO 3.	Demonstrate applications of linked list.
			CO 4.	Explore the applications of trees and graphs to model and solve the real-world problem.
			CO 5.	Make use of Hashing techniques and resolve collisions during mapping of key value pairs
3	ANALOG AND DIGITAL ELECTRONICS	21CS33	CO 1.	Design and analyze application of analog circuits using photo devices, timer IC, power supplyand regulator IC and op-amp.
			CO 2.	Explain the basic principles of A/D and D/A conversion circuits and develop the same.
			CO 3.	Simplify digital circuits using Karnaugh Map, and Quine-McClusky Methods
			CO 4.	Explain Gates and flip flops and make us in designing different data processing circuits,registers and counters and compare the types.
			CO 5.	Develop simple HDL programs
4	COMPUTER ORGANIZATION AND ARCHITECTURE	21CS34	CO 1.	Explain the organization and architecture of computer systems with machine instructions and programs
			CO 2.	Analyze the input/output devices communicating with computer system
			CO 3.	Demonstrate the functions of different types of memory devices
			CO 4.	Apply different data types on simple arithmetic and logical unit
			CO 5.	Analyze the functions of basic processing unit, Parallel processing and pipelining
5	OBJECT ORIENTED PROGRAMMING WITH JAVA LABORATORY	21CSL35	CO 1.	Use Eclipse/NetBeans IDE to design, develop, debug Java Projects.
			CO 2.	Analyze the necessity for Object Oriented Programming paradigm over structured programming and become familiar with the fundamental concepts in OOP.
			CO 3.	Demonstrate the ability to design and develop java programs, analyze, and interpret objectoriented data and document results.
			CO 4.	Apply the concepts of multiprogramming, exception/event handling, abstraction to develop robust programs.
			CO 5.	Develop user friendly applications using File I/O and GUI concepts.
6	SOCIAL CONNECT & RESPONSIBILITIES	21SCR36	CO 1.	Understand social responsibility
			CO 2.	Practice sustainability and creativity
			CO 3.	Showcase planning and organizational skills
7	CONSTITUTION OF INDIA AND PROFESSIONAL ETHICS (CIP)	21CIP37	CO 1.	Analyse the basic structure of Indian Constitution.
			CO 2.	Remember their Fundamental Rights, DPSP’s and Fundamental Duties (FD’s) of our constitution.
			CO 3.	know about our Union Government, political structure & codes, procedures.
			CO 4.	Understand our State Executive & Elections system of India.
			CO 5.	Remember the Amendments and Emergency Provisions, other important provisions given by the constitution.
8	ಬಳೆ ಕನಡ - Balake Kannada	21KBK37/47	CO 1.	To understand the necessity of learning of local language for comfortable life.
			CO 2.	To Listen and understand the Kannada language properly.
			CO 3.	To speak, read and write Kannada language as per requirement.
			CO 4.	To communicate (converse) in Kannada language in their daily life with kannada speakers.
			CO 5.	To speak in polite conservation.
9	PROGRAMMING IN C++	21CS382	CO 1.	Able to understand and design the solution to a problem using object-oriented programming concepts.
			CO 2.	Able to reuse the code with extensible Class types, User-defined operators and function Overloading.
			CO 3.	Achieve code reusability and extensibility by means of Inheritance and Polymorphism
			CO 4.	Identify and explore the Performance analysis of I/O Streams.
			CO 5.	Implement the features of C++ including templates, exceptions and file handling for providing programmed solutions to complex problems.

Fourth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS	21MAT41	CO 1.	Use the concepts of an analytic function and complex potentials to solve the problems arising in electromagnetic field theory. Utilize conformal transformation and complex integral arising in aerofoil theory, fluid flow visualization and image processing.
			CO 2.	Obtain Series Solutions of Ordinary Differential Equation.
			CO 3.	Make use of the correlation and regression analysis to fit a suitable mathematical model for the statistical data.
			CO 4.	Apply discrete and continuous probability distributions in analysing the probability models arising in the engineering field.
			CO 5.	Construct joint probability distributions and demonstrate the validity of testing the hypothesis.
2	DESIGN AND ANALYSIS OF ALGORITHMS	21CS42	CO 1.	Analyze the performance of the algorithms, state the efficiency using asymptotic notations and analyze mathematically the complexity of the algorithm.
			CO 2.	Apply divide and conquer approaches and decrease and conquer approaches in solving the problems analyze the same
			CO 3.	Apply the appropriate algorithmic design technique like greedy method, transform and conquer approaches and compare the efficiency of algorithms to solve the given problem.
			CO 4.	Apply and analyze dynamic programming approaches to solve some problems. and improve an algorithm time efficiency by sacrificing space.
			CO 5.	Apply and analyze backtracking, branch and bound methods and to describe P, NP and NPComplete problems.
3	MICROCONTROLLER AND EMBEDDED SYSTEMS	21CS43	CO 1.	Explain C-Compilers and optimization
			CO 2.	Describe the ARM microcontroller's architectural features and program module.
			CO 3.	Apply the knowledge gained from programming on ARM to different applications.
			CO 4.	Program the basic hardware components and their application selection method.
			CO 5.	Demonstrate the need for a real-time operating system for embedded system applications.
4	OPERATING SYSTEMS	21CS44	CO 1.	Identify the structure of an operating system and its scheduling mechanism.
			CO 2.	Demonstrate the allocation of resources for a process using scheduling algorithm.
			CO 3.	Identify root causes of deadlock and provide the solution for deadlock elimination
			CO 4.	Explore about the storage structures and learn about the Linux Operating system.
			CO 5.	Analyze Storage Structures and Implement Customized Case study
5	PYTHON PROGRAMMING LABORATORY	21CSL46	CO 1.	Identify the structure of an operating system and its scheduling mechanism.
			CO 2.	Demonstrate the allocation of resources for a process using scheduling algorithm.
			CO 3.	Identify root causes of deadlock and provide the solution for deadlock elimination
			CO 4.	Explore about the storage structures and learn about the Linux Operating system.
			CO 5.	Analyze Storage Structures and Implement Customized Case study
6	ADDITIONAL MATHEMATICS-II	21MATDIP41	CO 1.	Test for consistency and solve the system of linear equations
			CO 2.	Solve higher order differential equations
			CO 3.	Apply elementary probability theory and solve related problems
			CO 4.	To interpolate/extrapolate from the given data
			CO 5.	Apply the knowledge of numerical methods in modelling and solving engineering problems
7	BIOLOGY FOR ENGINEERS	21BE45	CO 1.	Elucidate the basic biological concepts via relevant industrial applications and case studies.
			CO 2.	Evaluate the principles of design and development, for exploring novel bioengineering projects.
			CO 3.	Corroborate the concepts of biomimetics for specific requirements.
			CO 4.	Think critically towards exploring innovative biobased solutions for socially relevant problems.
8	Balake Kannada	21KBK37/47	CO 1.	To understand the necessity of learning of local language for comfortable life.
			CO 2.	To Listen and understand the Kannada language properly.
			CO 3.	To speak, read and write Kannada language as per requirement.
			CO 4.	To communicate (converse) in Kannada language in their daily life with kannada speakers.
			CO 5.	To speak in polite conservation.
9	UNIX SHELL PROGRAMMING	21CS482	CO 1.	Know the basics of Unix concepts and commands.
			CO 2.	Evaluate the UNIX file system.
			CO 3.	Apply Changes in file system.
			CO 4.	Understand scripts and programs.
			CO 5.	Analyze Facility with UNIX system process
10	UNIVERSAL HUMAN VALUES-II: UNDERSTANDING HARMONY and ETHICAL HUMAN CONDUCT	21UHV49	CO 1.	Holistic vision of life
			CO 2.	Socially responsible behaviour
			CO 3.	Environmentally responsible work
			CO 4.	Ethical human conduct
			CO 5.	Having Competence and Capabilities for Maintaining Health and Hygiene
			CO 6.	Appreciation and aspiration for excellence (merit) and gratitude for all

Fifth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	AUTOMATA THEORY AND COMPILER DESIGN	21CS51	CO 1.	Acquire fundamental understanding of the core concepts in automata theory and Theory of Computation
			CO 2.	Design and develop lexical analyzers, parsers and code generators
			CO 3.	Design Grammars and Automata (recognizers) for different language classes and become knowledgeable about restricted models of Computation (Regular, Context Free) and their relative powers.
			CO 4.	Acquire fundamental understanding of the structure of a Compiler and Apply concepts automata theory and Theory of Computation to design Compilers
			CO 5.	Design computations models for problems in Automata theory and adaptation of such mode in the field of compilers
2	COMPUTER NETWORKS	21CS52	CO 1.	Acquire fundamental understanding of the core concepts in automata theory and Theory of Computation
			CO 2.	Design and develop lexical analyzers, parsers and code generators
			CO 3.	Design Grammars and Automata (recognizers) for different classes and become knowledgeable about restricted models of Computation and their relative powers.
			CO 4.	Acquire fundamental understanding of the structure of a Compiler and Apply concepts automata theory and Theory of Computation to design Compilers
			CO 5.	Design computations models for problems in Automata theory and adaptation of such mode in the field of compilers
3	DATABASE MANAGEMENT SYSTEMS	21CS53	CO 1.	Identify, analyze and define database objects, enforce integrity constraints on a database using RDBMS
			CO 2.	Use Structured Query Language (SQL) for database manipulation and also demonstrate the basic of query evaluation.
			CO 3.	Design and build simple database systems and relate the concept of transaction,concurrency control and recovery in database
			CO 4.	Develop application to interact with databases, relational algebra expression.
			CO 5.	Develop applications using tuple and domain relation expression from queries.
4	PRINCIPLES OF ARTIFICIAL INTELLIGENCE	21AI54	CO 1.	Apply knowledge of agent architecture, searching and reasoning techniques for different applications.
			CO 2.	Analyse Searching and Inferencing Techniques.
			CO 3.	Develop knowledge base sentences using propositional logic and first order logic
			CO 4.	Demonstrating agents, searching and inferencing
			CO 5.	Illustrate the application of probability in uncertain reasoning
5	DATABASE MANAGEMENT SYSTEM LABORATORY WITH MINI PROJECT	21CSL55	CO 1.	Create, Update and query on the database.
			CO 2.	Demonstrate the working of different concepts of DBMS
			CO 3.	Implement, analyze and evaluate the project developed for an application.
6	RESEARCH METHODOLOGY & INTELLECTUAL PROPERTY RIGHTS	21RMI56	CO 1.	Acquire fundamental understanding of the core concepts in automata theory and Theory of Computation
			CO 2.	Design and develop lexical analyzers, parsers and code generators
			CO 3.	Design Grammars and Automata (recognizers) for different language classes and become knowledgeable about restricted models of Computation (Regular, Context Free) and their relative powers.
			CO 4.	Acquire fundamental understanding of the structure of a Compiler and Apply concepts automata theory and Theory of Computation to design Compilers
			CO 5.	Design computations models for problems in Automata theory and adaptation of such model in the field of compilers
7	ENVIRONMENTAL STUDIES	21CIV57	CO 1.	Understand the principles of ecology and environmental issues that apply to air, land, and water issues on a global scale,
			CO 2.	Develop critical thinking and/or observation skills, and apply them to the analysis of a problem or question related to the environment.
			CO 3.	Demonstrate ecology knowledge of a complex relationship between biotic and a biotic components.
			CO 4.	Apply their ecological knowledge to illustrate and graph a problem and describe the realities that managers face when dealing with complex issues.
8	ANGULAR JS AND NODE JS	21CSL581	CO 1.	Create, Update and query on the database.
			CO 2.	Demonstrate the working of different concepts of DBMS
			CO 3.	Implement, analyze and evaluate the project developed for an application.

Sixth semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	SOFTWARE ENGINEERING & PROJECT MANAGEMENT	21CS61	CO 1.	Understand the activities involved in software engineering and analyze the role of various process models
			CO 2.	Explain the basics of object-oriented concepts and build a suitable class model using modelling techniques
			CO 3.	Describe various software testing methods and to understand the importance of agile methodology and DevOps
			CO 4.	Illustrate the role of project planning and quality management in software development
			CO 5.	Understand the importance of activity planning and different planning models
2	DATA SCIENCE AND ITS APPLICATIONS	21AD62	CO 1.	Identify and demonstrate data using visualization tools.
			CO 2.	Make use of Statistical hypothesis tests to choose the properties of data, curate and manipulate data.
			CO 3.	Utilize the skills of machine learning algorithms and techniques and develop models.
			CO 4.	Demonstrate the construction of decision tree and data partition using clustering.
			CO 5.	Experiment with social network analysis and make use of natural language processing skills to develop data driven applications
3	MACHINE LEARNING	21AI63	CO 1.	Understand the concept of Machine Learning and Concept Learning.
			CO 2.	Apply the concept of ML and various classification methods in a project.
			CO 3.	Analyse various training models in ML and the SVM algorithm to be implemented.
			CO 4.	Apply the ML concept in a decision tree structure and implementation of Ensemble learning and Random Forest.
			CO 5.	Apply Bayes techniques and explore more about the classification in ML
4	BUSINESS INTELLIGENCE	21AI641	CO 1.	Apply the basics of data and business to understand Decision Support systems and Business Intelligence framework.
			CO 2.	Describe the significance of Computerized Decision Support, apply the basics of mathematics to Understand the mathematical modeling behind decision support.
			CO 3.	Explain Data warehousing, its architecture and Extraction, Transformation, and Load (ETL) Processes.
			CO 4.	Analyze the importance of knowledge management and explain its activities, approaches and Its implementation
			CO 5.	Describe the Expert systems and analyze its development, discuss areas suitable for application of experts system.
5	RENEWABLE ENERGY RESOURCES	21EE652	CO 1.	Discuss causes of energy scarcity and its solution, energy resources and availability of renewable energy.
			CO 2.	Outline energy from sun, energy reaching the Earth’s surface and solar thermal energy applications.
			CO 3.	Discuss types of solar collectors, their configurations, solar cell system, its characteristics and their applications.
			CO 4.	Explain generation of energy from hydrogen, wind, geothermal system, solid waste and agriculture refuse.
			CO 5.	Discuss production of energy from biomass, biogas.
			CO 6.	Summarize tidal energy resources, sea wave energy and ocean thermal energy.
6	MACHINE LEARNING LAB	21AIL66	CO 1.	Understand the Importance of different classification and clustering algorithms.
			CO 2.	Demonstrate the working of various algorithms with respect to training and test data sets.
			CO 3.	Illustrate and analyze the principles of Instance based and Reinforcement learning techniques.
			CO 4.	Elicit the importance and Applications of Supervised and unsupervised machine learning.
			CO 5.	Compare and contrast the Bayes theorem principles and Q learning approach

Seventh Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	ADVANCED AI AND ML	21AI71	CO 1.	Demonstrate the fundamentals of Intelligent Agents
			CO 2.	Illustrate the reasoning on Uncertain Knowledge
			CO 3.	Explore the explanation-based learning in solving AI problems
			CO 4.	Apply effectively ML algorithms to solve real world problems.
			CO 5.	Apply Instant based techniques and derive effectively learning rules to real world problems.
2	CLOUD COMPUTING	21CS72	CO 1.	Understand and analyze various cloud computing platforms and service provider.
			CO 2.	Illustrate various virtualization concepts.
			CO 3.	Identify the architecture, infrastructure and delivery models of cloud computing.
			CO 4.	Understand the Security aspects of CLOUD.
			CO 5.	Define platforms for development of cloud applications
3	DIGITAL IMAGE PROCESSING	21CS732	CO 1.	Understand the fundamentals of Digital Image Processing.
			CO 2.	Apply different Image transformation techniques
			CO 3.	Analyze various image restoration techniques
			CO 4.	Understand colour image and morphological processing
			CO 5.	Design image analysis and segmentation techniques
4	AUGMENTED REALITY	21AI741	CO 1.	Understand the importance of Augmented reality
			CO 2.	Comprehend and analyse the Tracking system.
			CO 3.	Compare and Contrast the computer vision for Augmented reality
			CO 4.	Analyse and understand Registration and camera simulation of visual coherence.
			CO 5.	Acquire knowledge of Situated Visualization
5	ELECTRICAL VEHICLE TECHNOLOGIES	21EE734	CO 1.	Explain the working of electric vehicles and recent trends.
			CO 2.	Analyze different power converter topology used for electric vehicle application.
			CO 3.	Develop the electric propulsion unit and its control for application of electric vehicles.
			CO 4.	Design converters for battery charging and explain transformer less topology.
6	ENERGY CONSERVATION AND AUDIT	21EE755	CO 1.	Analyze about energy scenario nationwide and worldwide , also outline Energy Conservation Act and its features.
			CO 2.	Discuss load management techniques and energy efficiency.
			CO 3.	Understand the need of energy audit and energy audit methodology.
			CO 4.	Understand various pillars of electricity market design.
			CO 5.	Conduct energy audit of electrical systems and buildings.
			CO 6.	Show an understanding of demand side management and energy conservation.

First Semester (Physics Cycle)
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	CALCULUS AND LINEAR ALGEBRA	18MAT11	CO 1.	Apply the knowledge of calculus to solve problems related to polar curves and in determining the bentness of curve.
			CO 2.	Learn the notion of partial differentiation, calculate rates of change of multivariate functions and solve problems related to composite functions and Jacobians
			CO 3.	Apply the concept of change of order of integrations and variables to evaluate multiple integrals and their usage in computing the area and volumes.
			CO 4.	Solve first order linear/nonlinear differential equations analytically using standard methods
			CO 5.	Make use of matrix theory for solving system of linear equations and compute Eigen values and Eigen vectors required for matrix diagonalization process.
2	ENGINEERING PHYSICS	18PHY12	CO 1.	Understand various types of oscillations and their implications, the role of Shock waves in various fields.
			CO 2.	Recognize the elastic properties of materials for engineering
			CO 3.	Realize the interrelation between time varying electric field and magnetic field, the transverse nature of the EM waves and their role in optical fiber communication
			CO 4.	Compute Eigen values, Eigen functions for a particle using Time independent 1-D Schrodinger’s wave equation. Apprehend the principle of laser, working of different types of lasers and applications
			CO 5.	Understand various electrical and thermal properties of materials like conductors, semiconductors and dielectrics using different theoretical models
3	BASIC ELECTRICAL ENGINEERING	18ELE13	CO 1.	Analyse Basic DC and AC Electric Circuits
			CO 2.	Able to Explain the principle of operation, construction of 1 phase transformer, AC and DC machines
			CO 3.	Able to explain the concept of wiring, protective devices and earthing
4	ELEMENTS OF CIVIL ENGINEERING & MECHANICS	18CIV14	CO 1.	Mention the applications of various fields of Civil Engineering.
			CO 2.	Compute the resultant of given force system subjected to various loads.
			CO 3.	Comprehend the action of Forces, Moments and other loads on systems of rigid bodies and compute the reactive forces that develop as a result of the external loads.
			CO 4.	Locate the Centroid and compute the Moment of Inertia of regular and built-up sections
			CO 5.	Express the relationship between the motion of bodies and analyse the bodies in motion
5	ENGINEERING GRAPHICS	18EGDL15	CO 1.	Able to understand and visualize the Points, lines and planes with manual and computer aided drafting
			CO 2.	Able to analyze the shape and size of different of Solids using orthographic projections by manual and computer aided tool
			CO 3.	Able to create 3D isometric view of objects and development of lateral surfaces and truncated shapes of the solids by manual and solid edge software.
6	ENGINEERING PHYSICS LAB	18PHYL16	CO 1.	Recall the concepts of interference of light, diffraction of light, Fermi energy
			CO 2.	Understand the principles of operations of optical fibers and semiconductor devices such as photodiode, and NPN transistor, and frequency response of LCR circuits
			CO 3.	Determine elastic modulii and moment of inertia of given materials with the help of suggested procedures
			CO 4.	Gain practical knowledge of Magnetic field intensity due to current and spring constant of a spring.
			CO 5.	Understand the importance of measurement procedure, honest recording and representing the data, reproduction of final results
7	BASIC ELECTRICAL ENGG. LAB	18ELEL17	CO 1.	Identify the common electrical components used for conducting experiments and verify the Kirchhoff’s law for basic DC circuits
			CO 2.	Compare power factor of lamps and also study the effect of open & short circuits
			CO 3.	Determine impedance of an electrical circuits and analyse phase and line quantities with power consumed in a star and delta 3 phase load
			CO 4.	Determine earth resistance and understand two way and three way control of lamps
8	TECHNICAL ENGLISH - I	18EGH18	CO 1.	Use grammatical English and essentials of language skills and identify the nuances phonetics, intonation and flawless pronunciation
			CO 2.	Implement English vocabulary at command and language proficiency, Identify common errors in spoken and written communication
			CO 3.	Understand and improve the non-verbal communication and kinesics, Perform well in campus recruitment, engineering and all other general competitive exams

Second Semester (Chemistry Cycle)
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	ADVANCED CALCULUS AND NUMERICAL METHODS	18MAT21	CO 1.	Illustrate the applications of multivariate calculus to understand the solenoidal and irrotational vectors and also exhibit the inter dependence of line, surface and volume integrals.
			CO 2.	Demonstrate various physical model throughout higher order differential equations and solve such linear ordinary differential equations .
			CO 3.	Construct a variety of partial differential equations and solution by Exact methods, Bernoulli D.E and Variable separable method.
			CO 4.	Explain the applications of infinite series and obtain series solution of ordinary differential equations.
			CO 5.	Apply the knowledge of Numerical Methods to solve problems arising in physics and engineering.
2	ENGINEERING CHEMISTRY	21CHE22	CO 1.	Impart the basic knowledge of chemistry and its principles involved in electrochemistry, energy storage devices and its commercial applications.
			CO 2.	Understand the basic principles of corrosion and its prevention, metal finishing and its technological importance
			CO 3.	Master the knowledge of synthesis, properties and utilization of engineering materials like polymers & Nano materials.
			CO 4.	Apply the knowledge of Green Chemistry principles for production of chemical compounds. understanding the concepts of alternative energy sources
			CO 5.	Understand the basic concepts of water chemistry & theory, basic principle and applications of volumetric analysis and analytical instruments.
3	C PROGRAMMING FOR PROBLEM SOLVING	18CPS23	CO 1.	Illustrate simple algorithms from the different domains such as mathematics , Physics, etc.
			CO 2.	Construct a programming solution to the given problem using C
			CO 3.	Identify and correct the syntax and logical errors in C programs.
			CO 4.	Modularize the given problem using functions & structures.
4	BASIC ELECTRONICS	18ELN24	CO 1.	Describe the operation of diodes, BJT, FET and operational amplifiers.
			CO 2.	Design and explain the construction of rectifiers, regulators, amplifiers and oscillators
			CO 3.	Describe general operational principles of SCR and its application
			CO 4.	Explain the different number system and their conversions and construct simple combinational and sequential logic circuits using Flip-Flops.
			CO 5.	Describe the basic principle of operation of communication system and mobile phones.
5	ELEMENTS OF MECHANICAL ENGINEERING	18ME25	CO 1.	Student shall identify different sources of energy & their conversion process & explain the working principle of hydraulic, pumps, IC engines & refrigeration
			CO 2.	Student shall recognize various metal joining processes & power transmission elements also understand the properties of common engineering materials & their applications
			CO 3.	Student shall discuss the working of conventional machine tools, machining processes, tools & accessories.
6	ENGINEERING CHEMISTRY LABORATORY	18CHEL26	CO 1.	Handle different types of instruments for analysis of materials using small quantities of materials involved for quick and accurate results.
			CO 2.	Analyse different types of titrations for estimation of concerned in materials using comparatively more quantities of materials involved for good results
			CO 3.	Demonstrate technical information by means of oral presentations and written reports/records as a team.
7	C PROGRAMMING LABORATORY	18CPL27	CO 1.	Write Algorithms, flowchart and program for simple problems
			CO 2.	Correct syntax and logical errors to execute a program.
			CO 3.	Write iterative and wherever possible recursive programs.
			CO 4.	Demonstrate use of functions, arrays, strings, structures and pointers in problem solving.
8	TECHNICAL ENGLISH - II	18EGH28	CO 1.	Identify common errors in spoken and written communication, Get familiar with English vocabulary and language proficiency
			CO 2.	Improve nature and style of sensible writing and acquire employment and workplace communication skills, Improve their technical communication skills through technical reading and writing practices
			CO 3.	Perform well in campus recruitment, engineering and all other general competitive exams.

Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	TRANSFORM, CALCULUS, FOURIER SERIES & NUMERICAL TECHNIQUES	18MAT31	CO 1.	Use Laplace Transform and Inverse Laplace Transform in Solving Differential Equation in Network Analysis, Control System and other fields of Engineering
			CO 2.	Demonstrate Fourier Series to study the behaviour of periodic function and their Applications in system communications and digital Signal Processing and Field Theory
			CO 3.	Make use of Fourier Transform and Z Transformsto illustrate the functin arising in wave and heat propagation, signals and systems
			CO 4.	Solve the first and second order ordinary DE arising in Engineering problems using single step aand multistep numerical Methods
			CO 5.	Determine the external of functional using calculus of variation and solve problems arising in dynamics of rigid bodies and Vibrational Analysis
2	DATA STRUCTURES AND APPLICATIONS	18CS32	CO 1.	Use different types of data structures, operations and algorithms
			CO 2.	Apply searching and sorting operations on files
			CO 3.	Use stack, Queue, Lists, Trees and Graphs in problem solving
			CO 4.	Implement all data structures in a high-level language for problem solving.
3	ANALOG AND DIGITAL ELECTRONICS	18CS33	CO 1.	Design and analyze application of analog circuits using photo devices, timer IC, power supply and regulator IC and op-amp
			CO 2.	Explain the basic principles of A/D and D/A conversion circuits and develop the same.
			CO 3.	Simplify digital circuits using Karnaugh Map , and Quine-McClusky Methods
			CO 4.	Explain Gates and flip flops and make us in designing different data processing circuits, registers and counters and compare the types.
			CO 5.	Develop simple HDL programs
4	COMPUTER ORGANIZATION	18CS34	CO 1.	Explain the basic organization of a computer system.
			CO 2.	Demonstrate functioning of different sub systems, such as processor, Input/output,and • Demonstrate functioning of different sub systems, such as processor, Input/output,and memory.
			CO 3.	Illustrate hardwired control and micro programmed control, pipelining, embedded and other computing systems.
			CO 4.	Design and analyse simple arithmetic and logical units.
5	SOFTWARE ENGINEERING	18CS35	CO 1.	Design a software system, component, or process to meet desired needs within realistic constraints.
			CO 2.	Assess professional and ethical responsibility
			CO 3.	Function on multi-disciplinary teams
			CO 4.	Use the techniques, skills, and modern engineering tools necessary for engineering practice
			CO 5.	Analyze, design, implement, verify, validate, implement, apply, and maintain software systems or parts of software systems
6	DISCRETE MATHEMATICAL STRUCTURES	18CS36	CO 1.	Use propositional and predicate logic in knowledge representation and truth verification.
			CO 2.	Demonstrate the application of discrete structures in different fields of computer science.
			CO 3.	Solve problems using recurrence relations and generating functions.
			CO 4.	Application of different mathematical proofs techniques in proving theorems in the courses.
			CO 5.	Compare graphs, trees and their applications.
7	ANALOG AND DIGITAL ELECTRONICS	18CSL37	CO 1.	Use appropriate design equations / methods to design the given circuit.
			CO 2.	Examine and verify the design of both analog and digital circuits using simulators.
			CO 3.	Make us of electronic components, ICs, instruments and tools for design and testing of circuits for the given the appropriate inputs.
			CO 4.	Compile a laboratory journal which includes; aim, tool/instruments/software/components used, design equations used and designs, schematics, program listing, procedure followed, relevant theory, results as graphs and tables, interpreting and concluding the findings.
8	DATA STRUCTURES LABORATORY	18CSL38	CO 1.	Analyze and Compare various linear and non-linear data structures
			CO 2.	Code, debug and demonstrate the working nature of different types of data structures and their applications
			CO 3.	Implement, analyze and evaluate the searching and sorting algorithms
			CO 4.	Choose the appropriate data structure for solving real world problems
9	CONSTITUTION OF INDIA, PROFESSIONAL ETHICS AND CYBER LAW	18CPH39	CO 1.	Have constitutional knowledge and legal literacy.
			CO 2.	Understand Engineering and Professional ethics and responsibilities of Engineers.
			CO 3.	Understand the bercrimes and cyber laws for cyber safety measures.

Fourth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS	18MAT41	CO 1.	Use the concepts of analytic function and complex potentials to solve the problems arising in electromagnetic field theory.
			CO 2.	Utilize conformal transformation and complex integral arising in aerofoil theory, fluid flow visualization and image processing.
			CO 3.	Apply discrete and continuous probability distributions in analyzing the probability models arising in engineering field.
			CO 4.	Make use of the correlation and regression analysis to fit a suitable mathematical model for the statistical data.
			CO 5.	Construct joint probability distributions and demonstrate the validity of testing the hypothesis.
2	DESIGN AND ANALYSIS OF	18CS42	CO 1.	Describe computational solution to well known problems like searching, sorting etc
			CO 2.	Estimate the computational complexity of different algorithms.
			CO 3.	Devise an algorithm using appropriate design strategies for problem solving.
3	OPERATING SYSTEMS	18CS43	CO 1.	Demonstrate need for OS and different types of OS
			CO 2.	Apply suitable techniques for management of different resources
			CO 3.	Use processor, memory, storage and file system commands
			CO 4.	Realize the different concepts of OS in platform of usage through case studies
4	MICROCONTROLLER AND EMBEDDED	18SC44	CO 1.	Describe the architectural features and instructions of ARM microcontroller
			CO 2.	Apply the knowledge gained for Programming ARM for different applications.
			CO 3.	Interface external devices and I/O with ARM microcontroller.
			CO 4.	Interpret the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.
			CO 5.	Develop the hardware /software co-design and firmware design approaches.
			CO 6.	Demonstrate the need of real time operating system for embedded system applications
5	OBJECT ORIENTED CONCEPTS	18CS45	CO 1.	Explain the object-oriented concepts and JAVA.
			CO 2.	Develop computer programs to solve real world problems in Java.
			CO 3.	Develop simple GUI interfaces for a computer program to interact with users, and to understand the event-based GUI handling principles using swings.
6	DATA COMMUNICATION	18CS46	CO 1.	Explain the various components of data communication
			CO 2.	Explain the fundamentals of digital communication and switching
			CO 3.	Compare and contrast data link layer protocols.
			CO 4.	Summarize IEEE 802.xx standards
7	DESIGN AND ANALYSIS OF ALGORITHM	18CSL47	CO 1.	Design algorithms using appropriate design techniques (brute-force, greedy, dynamic programming, etc.)
			CO 2.	Implement a variety of algorithms such assorting, graph related, combinatorial, etc., in a high level language.
			CO 3.	Analyze and compare the performance of algorithms using language features.
			CO 4.	Apply and implement learned algorithm design techniques and data structuresto solve real-world problems.
8	MICROCONTROLLER AND EMBEDDED	18CSL48	CO 1.	Explain the principles of management, organization and entrepreneur.
			CO 2.	Discuss on planning, staffing, ERP and their importance
			CO 3.	Infer the importance of intellectual property rights and relate the institutional support

Fifth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	MANAGEMENT AND ENTREPRENEURSHIPFOR IT INDUSTRY	18CS51	CO 1.	Define management, organization, entrepreneur, planning, staffing, ERP and outline their importance in entrepreneurship
			CO 2.	Utilize the resources available effectively through ERP
			CO 3.	Make use of IPRs and institutional support in entrepreneurship
2	PYTHON PROGRAMMING	18AI52	CO 1.	Demonstrate proficiency in handling of loops and creation of functions
			CO 2.	Identify the methods to create and manipulate lists, tuples and dictionaries.
			CO 3.	Discover the commonly used operations involving regular expressions and file system
			CO 4.	Interpret the concepts of Object-Oriented Programming as used in Python.
			CO 5.	Determine the need for scraping websites and working with CSV, JSON and other file formats.
3	DATABASE MANAGEMENT SYSTEMS	18CS53	CO 1.	Identify, analyze and define database objects, enforce integrity constraints on a database using RDBMS.
			CO 2.	Use Structured Query Language (SQL) for database manipulation.
			CO 3.	Design and build simple database systems
			CO 4.	Develop application to interact with databases.
4	AUTOMATA THEORY AND COMPUTABILITY	18CS54	CO 1.	Acquire fundamental understanding of the core concepts in automata theory and Theory of Computation
			CO 2.	Learn how to translate between different models of Computation (e.g., Deterministic and Non-deterministic and Software models).
			CO 3.	Design Grammars and Automata (recognizers) for different language classes and become knowledgeable about restricted models of Computation (Regular, Context Free) and their relative powers.
			CO 4.	Develop skills in formal reasoning and reduction of a problem to a formal model, with an emphasis on semantic precision and conciseness.
			CO 5.	Classify a problem with respect to different models of Computation.
5	PRINCIPLES OF ARTIFICIAL INTELLIGENCE	18AI55	CO 1.	Apply the knowledge of Artificial Intelligence to write simple algorithm for agents.
			CO 2.	Apply the AI knowledge to solve problem on search algorithm.
			CO 3.	Develop knowledge base sentences using propositional logic and first order logic.
			CO 4.	Apply first order logic to solve knowledge engineering process.
6	MATHEMATICS FOR MACHINE LEARNING	18AI56	CO 1.	Improve the skills and knowledge in linear algebra to get more out of machine learning.
			CO 2.	Understand the vector calculus required to build many common machine learning techniques.
			CO 3.	Learn the probability and distribution in statistics to build machine learning applications.
			CO 4.	Learn the basic theoretical properties of optimization problems, for applications in machine learning
7	ARTIFICIAL INTELLIGENCE LABORATORY	18AIL57	CO 1.	Implement and demonstrate AI algorithms.
7	ARTIFICIAL INTELLIGENCE LABORATORY	18AIL57	CO 2.	Evaluate different algorithms.
8	DBMS LABORATORY WITH MINI PROJECT	18CSL58	CO 1.	Create, Update and query on the database.
			CO 2.	Demonstrate the working of different concepts of DBMS
			CO 3.	Implement, analyze and evaluate the project developed for an application.
9	ENVIRONMENTAL STUDIES	18CIV59	CO 1.	Understand the principles of ecology and environmental issues that apply to air, land, and water issues on a global scale,
			CO 2.	Develop critical thinking and/or observation skills, and apply them to the analysis of a problem or question related to the environment.
			CO 3.	Demonstrate ecology knowledge of a complex relationship between biotic and a biotic components.
			CO 4.	Apply their ecological knowledge to illustrate and graph a problem and describe the realities that managers face when dealing with complex issues.

Sixth Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	MACHINE LEARNING	18AI61	CO 1.	Choose the learning techniques with this basic knowledge.
			CO 2.	Apply effectively ML algorithms for appropriate applications.
			CO 3.	Apply bayesian techniques and derive effectively learning rules.
2	DIGITAL IMAGE PROCESSING	18AI62	CO 1.	Understand, Ascertain and describe the basics of image processing concepts through mathematical interpretation.
			CO 2.	Apply image processing techniques in both the spatial and frequency (Fourier)domains.
			CO 3.	Demonstrate image restoration process and its respective filters required.
			CO 4.	Design image analysis techniques in the form of image segmentation and toevaluate the Methodologies for segmentation.
3	JAVA FORMOBILE APPLICATIONS	18AI63	CO 1.	Interpret the need for advanced Java concepts like enumerations and collections in developing modular and efficient programs
			CO 2.	Understand various application components in android.
			CO 3.	Design efficient user interface using different layouts.
			CO 4.	Develop application with persistent data storage using SQLite
4	NATURAL LANGUAGE PROCESSING	18AI641	CO 1.	Analyze the natural language text.
			CO 2.	Define the importance of natural language.
			CO 3.	Understand the concepts Text mining.
			CO 4.	Illustrate information retrieval techniques.
5	MACHINE LEARNING LABORATORY	18AIL66	CO 1.	Implement and demonstration of ML algorithms.
5	MACHINE LEARNING LABORATORY	18AIL66	CO 2.	Evaluation of different algorithms.
6	DIGITAL IMAGE PROCESSING LABORATORY WITH MINI PROJECT	18AIL67	CO 1.	Image Segmentation algorithm development
			CO 2.	Image filtering in spatial and frequency domain.
			CO 3.	Morphological operations in analyzing image structures
7	MOBILE APPLICATION DEVELOPMENTLABORATORY	18AIMP68	CO 1.	Create, test and debug Android application by setting up Android developmentenvironment.
			CO 2.	Implement adaptive, responsive user interfaces that work across a wide range ofdevices.
			CO 3.	Infer long running tasks and background work in Androidapplications.
			CO 4.	Demonstrate methods in storing, sharing and retrieving data in Androidapplications.
8	INTELLIGENT TRANSPORTATION SYSTEMS	18CV655	CO 1.	After studying this course, students would be able to suggest the appropriate system/s in various functional areas of transportation.
			CO 2.	Would be able to amalgamate the various systems, plan and implement the applications of ITS.
			CO 3.	Wouldhave learnt the application of information technology and telecommunication to contro l traffic and alsoprovide advance information to the travellers, automatic handling of emergencies and to improve safety.

Seventh Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	ADVANCED ARTIFICIAL INTLLIGENCE	18AI71	CO 1.	Demonstrate the fundamentals of Intelligent Agents
			CO 2.	Illustrate the reasoning on Uncrtain Knowledge
			CO 3.	Explore the explanation based learning in solving AI problems
			CO 4.	Demonstrate the applications of Rough sets and Evolutionary Computing algorithms
2	ADVANCED MACHINE LEARNING	18AI72	CO 1.	Apply effectively ML algorithmsto solve real world problems.
2	ADVANCED MACHINE LEARNING	18AI72	CO 2.	Apply Instant based techniques and derive effectively learning rules to real world problems.
3	INTERNET OF THINGS	18AI731	CO 1.	Interpret the impact and challenges posed by IoT networks leading to new architectural models.
			CO 2.	Compare and contrast the deployment of smart objects and the technologies to connect them to network.
			CO 3.	Appraise the role of IoT protocols for efficient network communication.
			CO 4.	Elaborate the need for Data Analytics and Security in IoT.
			CO 5.	Illustrate different sensor technologies for sensing real world entities and identify the applications of IoT in Industry.
4	SEMANTIC WEB AND SOCIAL NETWORKS	18AI743	CO 1.	Work on the internal components of the social network.
			CO 2.	Model and visualize the social network.
			CO 3.	Analyse the behaviour of the users in the social network.
			CO 4.	Predict the possible next outcome of the social network.
			CO 5.	Apply social network in real time applications.
5	ELECTRIC VECHILES	18EE753	CO 1.	Discuss disaster management plan, cyclones and their hazard potential
			CO 2.	Understand the role of IMD and cyclone prediction and cyclone warning system in India
			CO 3.	Understand the role of different institutions defence and other services in natural disaster management.
			CO 4.	Understand the role of Central Water Commission in river water sharing, Draught, its assessment and draught management plan
			CO 5.	Understand occurrence of earth quake, Tsunamis and thunderstorms.
6	ENERGY COSERVATION & AUDIT	18EE754	CO 1.	Analyze about energy scenario nationwide and worldwide , also outline Energy Conservation Act and its features.
			CO 2.	Discuss load management techniques and energy efficiency.
			CO 3.	Understand the need of energy audit and energy audit methodology.
			CO 4.	Understand various pillars of electricity market design.
			CO 5.	Conduct energy audit of electrical systems and buildings.
			CO 6.	Show an understanding of demand side management and energy conservation.
7	ARM EMBEDDED SYSTEMS	18EC62	CO 1.	Describe the architectural features and instructions of 32 bit microcontroller ARM CortexM3.
			CO 2.	Apply the knowledge gained for Programming ARM Cortex M3 for different applications.
			CO 3.	Understand the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.
			CO 4.	Develop the hardware software co-design and firmware design approaches.
			CO 5.	Explain the need of real time operating system for embedded system applications.

Eight Semester
Sl. No	Course Title	Course Code	CO No.	Course Outcomes(COs): The students will be able to
1	NEURAL NETWORKS AND DEEP LEARNING	18AI81	CO 1.	Identify the deep learning algorithms which are more appropriate for various types of learning tasks in various domains.
			CO 2.	Implement deep learning algorithms and solve real-world problems.
			CO 3.	Execute performance metrics of Deep Learning Techniques.
2	ROBOTIC PROCESS AUTOMATION DESIGN & DEVELOPMENT	18AI823	CO 1.	To understand Basic Programming concepts and the underlying logic/structure
			CO 2.	To Describe RPA , where it can be applied and how its implemented
			CO 3.	To Describe the different types of variables, Control Flow and data manipulation techniques
			CO 4.	To Understand Image, Text and Data Tables Automation
			CO 5.	To Describe automation to Email and various types of Exceptions and strategies to handle

Career Opportunities

CSE(AI&ML) Engineers have a wide range of job opportunities such as Software Engineer, IT Manager, Software Tester, Application Developer, Web Designer etc. After completion of graduation, one may pursue further studies like M.Tech, M.E.The department of CSE(AI&ML) in association with the department of placement and training enables the placement process by moulding the students with good behaviour, right attitude and making them industry-ready. We provide pre-placement training such as technical, aptitude, reasoning, seminars, and technical talk which augment the student qualities such as soft, interpersonal, communication, and presentation skills.

Eligibility

Pass in PUC/10+2 Examination with Physics and Mathematics as compulsory subjects along with one of the chemistry/Computer science/ Electronics/Technical vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together of any Board recognized by the respective State Governments / Union Territories or any other qualification recognized as equivalent there to. Once the CET / COMEDK exams (entrance exam) get over, aspiring students would be able to assess their performance and seat allotment possibilities to the college of their preference. There would be acceleration in the admission process under Management Quota after the exams. To be assured the seat under Management Quota, it is necessary to secure the seat early by complying with the terms and conditions.

CLASS INCHARGE DETAILS

Secton	Class teacher	E-mail ID	Phone number
III	Mr.Punneth Kumar	parthapuneeth@dbit.co.in	7019214151