Academic Department

Computer Science & Engineering

Nurturing globally competent computer professionals through technical excellence, innovative research and strong industry partnerships since 2002.

NBA Accredited (2023-24 to 2025-26)

Established in 2002

B.Tech & M.Tech Programs

Computer Science And Engineering Menu

Program Objectives & Outcomes

Program Educational Objectives (PEOs)

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PEO1: Evolve as globally competent computer professionals, researchers and entrepreneurs possessing collaborative and leadership skills, for developing innovative solutions in multidisciplinary domains.
PEO2: Excel as socially committed computer engineers having mutual respect, effective communication skills, high ethical values and empathy for the needs of society.
PEO3: Involve in lifelong learning to foster the sustainable development in the emerging areas of technology.

Programme Specific Outcomes (PSOs)

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Student of the Computer Science and Engineering program will

PSO1: Professional Skills: Attain the ability to design and develop hardware and software based systems, evaluate and recognize potential risks and provide creative solutions.
PSO2: Successful Career and Entrepreneurship: Gain knowledge in diverse areas of Computer Science and experience an environment conducive in cultivating skills for successful career, entrepreneurship and higher studies.

Programme Outcomes (POs)

View All 12 Graduate Outcomes (POs)

Engineering Graduates will be able to:
- PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems..
- PO2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
- PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice..
- PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Knowledge and Attitude Profile (WK)

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WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes

Curriculum Highlights

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Semester	Sub Code	Courses
S1	MAT101	Linear Algebra and Calculus
	CYT100	Engineering Chemistry
	EST110	Engineering Graphics
	EST120	Basics of Civil & Mechanical Engineering
	HUN101	Life Skills
	CYL120	Engineering Chemistry Lab
	ESL120	Civil & Mechanical Workshop
S2	MAT 102	Vector Calculus,Differential Equations & Transforms
	PHT 100	Engineering Physics A
	EST 100	Enginering Mechanics
	EST 130	Basics of Electrical & Electronics Engineering
	HUT 102	Professional Communication
	EST 102	Programming in C
	PHL 120	Engineering Physics Lab
	ESL 130	Electrical & Electronics Workshop

S3	MAT 203	Discrete Mathematical Structures
	CST 201	Data Structures
	CST 205	Object Oriented Programming
	EST 200	Design & Engineering
	MNC201	Sustainable Engineering
	CSL 201	Data Structures Lab
	CSL 203	Object Oriented Programming(in Java) Lab
	MINOR: RAT 281	Basics of Robotics

S4	MAT 206	Graph Theory
	CST 202	Computer Organisation & Architecture
	CST 204	Database Management Systems
	CST 206	Operating Systems
	HUT 200	Professional Ethics
	MCN202	Constitution of India
	CSL 202	Digital Lab
	CSL 204	Operating Systems Lab
	MINOR: RAT 282	Introduction to Industrial Automation
	HONOURS: CST 292	Number Theory
	HONOURS: CST 294	Computational Fundamentals for Machine Learning
S5	CS 301	Theory of Computation
	CS 303	System Software
	CS 305	Microprocessor & Microcontroller
	CS 307	Data Communication
	CS 309	Graph Theory and Combinatorics
	CS 361	Elective 1-Soft Computing
	CS 365	Elective 1-Optimization Techniques
	CS 341	Design Project
	CS 331	System Software Lab
	CS 333	Application Software Development Lab

S6	CS 302	Design & Analysis of Algorithms
	CS 304	Compiler Design
	CS 306	Computer Networks
	CS 308	Software Enfineering & Project Management
	HS 300	Principles of Management
	CS 368	Elective 2-Web Technologies
	CS 364	Elective 2-Mobile Computing
	CS 332	Microproceesor Lab
	CS 334	Network Programming Lab
	CS 352	Comprehensive Exam

S7	CS 401	Computer Graphics
	CS 403	Programming Paradigms
	CS 405	Computer System Architecture
	CS 407	Distributed Computing
	CS 407	Distributed Computing
	CS 409	Cryptography and Network Security
	CS 467	Elective 3-Machine Learning
	CS 465	Elective 3 -Bio Infomatics
	CS 451	Seminar & Project Preliminary
S8	CS 402	Data Mining & Data Ware Housing
	CS 404	Embedded Systems
	CS 464	Elective 4: Artificial Intelligence
	CS 472	Elective 4 : Principles of Information Security
	FS 482	Elective 5:Non Departmental :Responsible Engineering
	MA 482	Elective 5: Non Departmental:Applied Linear Algebra
	CS 492	Project

Course Outcomes (COs)

Course-wise outcomes for the B.Tech Computer Science and Engineering programme, grouped by semester.

Semester III

MAT 203 Discrete Mathematical Structures
Course Outcomes		Level
CO1	Check the validity of predicates in Propositional and Quantified propositional logic using truth table,deductive reasoning and inference theory on Propositional Logic.	L3
CO2	Solve counting problems by applying the elementary counting techniques (Permutation, combination, Binomial theorem, Pigeon hole principle, Inclusion and exclusion principle)	L3
CO3	Illustrate an application for partially ordered sets and Complete Lattices in Computer Science.	L3
CO4	Solve first and second ordered Linear Recurrence Relation with constant coefficients.	L3
CO5	Illustrate the abstract algebraic system Semigroup,Monoid,Group, Homomorphism and Isomorphism of Monoids and Groups)	L3

CST 201 Data Structures
Course Outcomes		Level
CO1	Develop software solutions to computational problems.	L3
CO2	Identify efficient algorithm for solving a given computational task by analyzing its time/space complexity.	L3
CO3	Make use of appropriate data structures to solve real world computational problem in an efficient way.	L3
CO4	Discover appropriate sorting and searching algorithms that can be used in specific circumstances.	L4
CO5	Apply appropriate hash function to store and access a given dataset.	L3

CST 203 Logic System Design
Course Outcomes		Level
CO1	Illustrate the operations and conversion among various number representation systems.	L2
CO2	Identify the use of Boolean algebra in logic circuit design.	L3
CO3	Design combinational logic circuits.	L3
CO4	Design sequential logic circuits.	L3
CO5	Write algorithms for addition and subtraction on binary, BCD and floating point numbers	L2

CST 205 Object Oriented Programming
Course Outcomes
CO1	Apply object-oriented analysis and design methods and Unified modelling Language notations to create effective and efficient system designs .
CO2	Develop Java application programs using java constructs, operators, control statements, built in packages, input /output streams, files and libraries and advanced features of java .
CO3	Apply object-oriented features to solve various computing problems using Java.
CO4	Illustrate how robust programs can be written in Java using exception handling mechanisms.
CO5	Develop application programs in Java using multithreading and database connectivity.
CO6	Develop GUI based application programs in java utilising event handling and Swing.

EST 200 Design & Engineering
Course Outcomes		Level
CO1	Explain the different concepts and principles involved in design engineering.	L2
CO2	Design products through various stages of the design process.	L3
CO3	Apply design thinking while learning and practicing engineering.	L3
CO4	Develop innovative, reliable, sustainable and economically viable designs incorporating knowledge in engineering.	L3
CO5	Realize the basic tools used and approaches in design.	L3

MNC 201 Sustainable Engineering
Course Outcomes		Level
CO1	Understand the relevance and the concept of sustainability and the global initiatives in this direction	L2
CO2	Explain the different types of environmental pollution problems and their sustainable solutions	L2
CO3	Summarize the environmental regulations and standards	L2
CO4	Outline the concepts related to conventional and non-conventional energy	L2
CO5	Demonstrate the broad perspective of sustainable practices by utilizing engineering knowledge and principles

CSL 201 Data Structure Lab
Course Outcomes		Level
CO1	Discover appropriate data structure that provide necessary functionalities meeting a given set of user requirements	L4
CO2	Develop a program to sort a list of records based on a given key in the record.	L3
CO3	Identify the space complexity and time complexity of various data structure operations.	L3
CO4	Make use of efficient data structure to represent given data.	L3
CO5	Simulate a program to convert an arithmetic expression from one notation to another.	L3
CO6	Simulate memory allocation and garbage collection using linked lists.	L3
CO7	Utilize one’s ability as an individual for development of effective communication, practical skill and document design.	L3

CSL 203 Object-Oriented Programming (in Java) Lab
Course Outcomes		Level
CO1	Develop Java programs to implement the Object-Oriented concepts – constructors, inheritance, method overloading & overriding and polymorphism in Java.	L3
CO2	Build programs in Java that use datatypes, operators, control statements, built-in packages & interfaces, Input/Output streams and Files	L3
CO3	Develop robust application programs in Java with exception handling.	L3
CO4	Build application programs in Java using multithreading and database connectivity	L3
CO5	Develop Graphical User Interface based application programs by utilizing event handling features and Swing in Java.	L3
CO6	Utilize one’s ability as an individual for the development of effective communication, practical skill and document design.	L3

MINOR: RAT 281 Basics of Robotics
Course Outcomes		Level
CO1	Explain the anatomy, specifications and applications of robots	L2
CO2	Choose the appropriate sensors and actuators for robots.	L3
CO3	Choose the appropriate robotic configuration and gripper for a particular application	L3
CO4	Obtain the kinematic model of robotic manipulators.	L3
CO5	Plan trajectories in joint space and Cartesian space	L3
CO6	Develop the dynamic model and controller for robotic manipulators	L3

Semester IV

MAT 206 Graph Theory
Course Outcomes		Level
CO1	Explain vertices and their properties, types of paths, classification of graphs and trees & their properties.	L2
CO2	Demonstrate the fundamental theorems on Eulerian and Hamiltonian graphs.	L1
CO3	Illustrate the working of Prim’s and Kruskal’s algorithm for finding minimum cost spanning tree and Dijkstra’s and Floyd- Warshall algorithm for finding shortest paths.	L3
CO4	Explain planar graphs, their properties and an application for planar graphs.	L3
CO5	Explain Vertex Colour problem in graphs.	L3

CST 202 Computer Oraganisation & Architecture
Course Outcomes		Level
CO1	Infer the relevance and requirement of basic components, addressing modes and control signals for the execution time of a given program/instruction.	L2
CO2	Obtain theprocessor unit organization using the concepts of ALU and control logic design	L3
CO3	Identify the implementation aspects of arithmetic algorithms and pipelining schemes in digital computer .	L3
CO4	Develop the control logic for a given arithmetic problem	L3
CO5	Interpret the types of memory systems and mapping functions used in memory systems.	L2

CST 204 Database Management Systems
Course Outcomes		Ll
CO1	Summarize the fundamental nature and characteristics of database systems	L2
CO2	Model real world scenarios given as informal descriptions, using Entity Relationship diagrams.	L3
CO3	Discover solutions for efficiently representing and querying data using relational model	L4
CO4	Apply the features of indexing and hashing in database applications	L3
CO5	Realize the aspects of anomalies in database systems and the various forms of Normalization	L2
CO6	Examine Concurrency Control and Recovery in Database systems along with an overview of the types of NoSQL databases	L3

CST 206 Operating System
Course Outcomes		Level
CO1	Summarize the relevance, structure and functions of operating systems in computing devices.	L2
CO2	Interpret the concepts of process management, inter process communication and scheduling mechanisms employed in OS.	L2
CO3	Identify mechanisms for process synchronization and deadlock handling.	L3
CO4	Illustrate different mechanisms to manage system memory.	L2
CO5	Infer the security aspects and algorithms for file and storage management in operating systems.	L2

HUT 200 Professional Ethics
Course Outcomes		Level
CO1	Explain the core values that shape the ethical behaviour of a professional.	L2
CO2	Understand the basic perception of professional ethics, stages of moral development, features of ethical theories and responsibilities of engineers to follow an ethical life.	L2
CO3	Solve moral and ethical problems through exploration and assessment by established experiments.	L3
CO4	Explain the role and responsibility in technological development by keeping personal ethics and legal ethics and rights of an employee.	L2
CO5	Apply the knowledge of human values and social values to contemporary ethical values and global issues.	L3

MCN 202 Constitution Of India
Course Outcomes		Level
CO1	Explain the background of the present constitution of India and features.	L2
CO2	Utilize the fundamental rights and duties.	L3
CO3	Understand the working of the union executive, parliament and judiciary.	L2
CO4	Understand the working of the state executive, legislature and judiciary.	L2
CO5	Utilize the special provisions and statutory institutions.	L3
CO6	Show national and patriotic spirit as responsible citizens of the country	L3

CSL 202 Digital Lab
Course Outcomes		Level
CO1	Design combinational logic circuits using Logic Gates	L3
CO2	Design sequential logic circuits using Integrated Circuits	L3
CO3	Design asynchronous and synchronous counters	L3
CO4	Simulate functioning of digital circuits using programs written in a Hardware Description Language	L3
CO5	Utilize one’s ability as an individual and as a team to accomplish a given task, for development of effective communication, practical skill and document design	L2

CSL 204 Operating System Lab
Course Outcomes		Level
CO1	Apply Linux commands specific to user requirements	L3
CO2	Develop shell scripts	L3
CO3	Compare the performance of CPU scheduling algorithms.	L4
CO4	Simulate operating system concepts using C programming	L3
CO5	Utilize one’s ability as an individual for the development of effective communication, practical skill and document design.	L3

MINOR: RAT 282 Introduction To Industrial Automation
Course Outcomes		Level
CO1	Explain the basic concepts of automation methodologies and trends in manufacturing automation	L2
CO2	Summarize the working principle and applications of different types of sensors and actuators	L2
CO3	Outline the design aspects of CNC machines along with operational features of material handling devices	L2
CO4	Develop different pneumatic circuits based on their applications.	L3
CO5	Explain the concepts of PLC programming and automated inspection methods	L2

HONOURS: CST 292 Number Theory
Course Outcomes		Level
CO1	Illustrate modular arithmetic operations, methods and techniques	L2
CO2	Use the methods – Induction, Contraposition or Contradiction to verify the correctness of mathematical assertions	L3
CO3	Utilize theorems and results about prime numbers, congruences, quadratic residues and integer factorization for ensuring security in computing systems	L4
CO4	Illustrate uses of Chinese Remainder Theorem & Euclidean algorithm in Cryptography and Security	L3
CO5	Explain applications of arithmetic functions in Computer Science	L2
CO6	Implement Number Theoretic Algorithms using a programming language	L3

HONOURS: CST 294 Computational Fundamentals For Machine Learning
Course Outcomes		Level
CO1	Make use of the concepts, rules and results about linear equations, matrix algebra, vector spaces, eigenvalues & eigenvectors and orthogonality & diagonalization to solve computational problems	L2
CO2	Perform calculus operations on functions of several variables and matrices, including partial derivatives and gradients	L2
CO3	Utilize the concepts, rules and results about probability, random variables, additive & multiplicative rules, conditional probability, probability distributions and Bayes’ theorem to find solutions of computational problems	L2
CO4	Train Machine Learning Models using unconstrained and constrained optimization methods	L2
CO5	Illustrate how the mathematical objects – linear algebra, probability, and calculus can be used to design machine learning algorithms	L2

Semester V

CS 301 THEORY OF COMPUTATION
Sl.No	Course Outcomes	Level
CO1	Classify formal languages into regular, context-free, context sensitive and unrestricted languages	L2
CO2	Design finite state automata, regular grammar, regular expression and Myhill- Nerode relation representations for regular languages.	L3
CO3	Design push-down automata and context-free grammar representations for context-free languages.	L2
CO4	Design Turing Machines for accepting recursively enumerable languages.	L3
CO5	Interpret the notions of decidability and undecidability of problems, Halting problem.	L3

CS 303 SYSTEM SOFTWARE
Sl.No	Course Outcomes	Level
CO1	Compare different system software	L2
CO2	Design one pass, two pass and multi pass assembler.	L3
CO3	Design loader and linker.	L3
CO4	Design Macro processor.	L3
CO5	Explain the features of modern editing and debugging tools	L2

CS 305 MICROPROCESSOR AND MICROCONTROLLERS
Sl.No	Course Outcomes	Level
CO1	Explain the architecture and instruction set of 8086 microprocessor.	L2
CO2	Build assembly language programs in 8086.	L3
CO3	Describe interrupt handling in 8086 microprocessors.	L2
CO4	Explain the interfacing of microprocessors with memory and peripherals	L2
CO5	Illustrate the use of microprocessors and microcontrollers in different applications.	L2

CS 307 DATA COMMUNICATION
Sl.No	Course Outcomes	Level
CO1	Summarize the time domain and frequency domain concepts of signals in data communication.	L2
CO2	Compare the efficiency of various transmission media based on transmission impairments and channel capacity	L2
CO3	Select appropriate signal encoding techniques for a given scenario.	L3
CO4	Summarize various Multiplexing, Spread Spectrum and Switching techniques.	L2
CO5	Design suitable error detection and error correction algorithms to achieve error free data communication.	L3

CS 309 GRAPH THEORY AND COMBINATORICS
Sl. No.	Course Outcomes	Level
CO1	Demonstrate the knowledge of fundamental concepts in graph theory.	L2
CO2	Identify different kinds of special graphs and their basic properties.	L2
CO3	Distinguish between planar and non-planar graphs and solve problems.	L2
CO4	Outline the various matrix representations of graphs.	L2
CO5	Develop efficient algorithms for graph related problems in different domains of engineering and science.	L3

CS 361 SOFT COMPUTING
Sl.No	Course Outcomes	Level
CO1	Summarize the soft computing techniques its application and neural network architectures	L2
CO2	Apply various neural network architectures.	L3
CO3	Apply the fuzzy systems.	L3
CO4	Outline the genetic algorithm concepts and their applications.	L2
CO5	Summarize the hybrid systems in soft computing.	L2

CS 365 OPTIMIZATION TECHNIQUES
	Course Outcomes	Level
CO1	Interpret Decision making procedure and its applications, the role of queuing model and simulation in real life scenario	L2
CO2	Interpret the essential features, properties and scope of optimization	L2
CO3	Solve optimization problems using different methods	L3
CO4	Illustrate network models and tabu search methods in various fields	L2
CO5	Identify applications of Genetic algorithm and Simulated annealing	L3

CS 341 DESIGN PROJECT
Sl.No	Course Outcomes	Level
CO1	Perceive ability to think innovatively on the development of products, processes, applications and technologies	L5
CO2	Analyse applications, products, processes and techniques with respect to its critical factors..	L4
CO3	Design workable solutions for the real world problems.	L6
CO4	Justify solutions using effective presentation and oral communication skills.	L5
CO5	Develop Product Design Specification Document adhering to international standards	L3

CS 331 SYSTEM SOFTWARE LAB
Sl.No	Course Outcomes	Level
CO1	Compare the performance of CPU scheduling algorithms	L4
CO2	Simulate operating system concepts using C programming.	L3
CO3	Solve process synchronization problems using semaphores.	L3
CO4	Demonstrate assemblers, macro processors and symbol table with hashing.	L2
CO5	Utilize one’s ability as an individual for development of effective communication, practical skill and document design.	L3

CS 333 APPLICATION SOFTWARE LAB
Sl.No	Course Outcomes	Level
CO1	Create database using Data definition and manipulation languages	L3
CO2	Design a database for a given problem using database design principles	L3
CO3	Develop database applications and applets using graphical user interface, Event Handling and Database connectivity.	L3
CO4	Develop medium-sized projects in a team.	L3
CO5	Utilize one’s ability as an individual for development of effective communication, practical skill and document design.	L3

Semester VI

CS 302 DESIGN & ANALYSIS OF ALGORITHMS
Sl.No	Course Outcomes	Level
CO1	Analyse a given algorithm and express its time and space complexities in asymptotic notations.	L3
CO2	Solve recurrence equations using Iteration Method, Recurrence Tree Method and Master’s Theorem.	L2
CO3	Describe advanced data structures used for algorithm design.	L2
CO4	Design efficient algorithms using various algorithm design techniques.	L3
CO5	Classify computational problems into P, NP, NP-Hard and NP-Complete.	L2

CS 304 COMPILER DESIGN
Sl.No	Course Outcomes	Level
CO1	Explain the concepts and different phases of compilation with compile time error handling.	L2
CO2	Design lexical analyzer and appropriate parsers for a language	L3
CO3	Translate high level language into intermediate code and machine code statements	L2
CO4	Design syntax directed translation schemes for a given context free grammar	L3
CO5	Apply optimization techniques to intermediate code.	L3

CS 306 COMPUTER NETWORKS
Sl.No	Course Outcomes	Level
CO1	Explain the different aspects of networks, protocols and network design models	L2
CO2	Summarize the various Data Link layer design issues, Data Link protocols and LAN Protocols.	L2
CO3	Outline the routing algorithms for a network.	L2
CO4	Choose IP addresses and subnet masks for new machines.	L3
CO5	Summarize the important aspects and functions of transport layer and application layer in internetworking.	L2

CS 308 SOFTWARE ENGINEERING AND PROJECT MANAGEMENT
Sl.No	Course Outcomes	Level
CO1	Identify suitable life cycle models to be used in a given scenario.	L3
CO2	Summarize the various activities involved in requirement engineering process	L2
CO3	Translate a requirement specification to a design using an appropriate software engineering methodology.	L2
CO4	Develop appropriate testing strategy for the given software system.	L3
CO5	Explain the various activities involved in the software maintenance phase	L2

HS 300 PRINCIPLES OF MANAGEMENT
Sl.No	Course Outcomes	Level
CO1	Classify the changing role and functions of management in business	L2
CO2	Explain the role of managers in today’s business	L2
CO3	Identify the impacts of alternative management approaches on an organization.	L3
CO4	Identify the importance of planning, organizing, staffing, leading and controlling	L3
CO5	Differentiate between leading and managing theories	L2

CS 368 WEB TECHNOLOGIES
Sl. No.	Course Outcomes	Level
CO1	Explain the different components in web technology.	L2
CO2	Develop dynamic and user interactive web pages.	L6
CO3	Apply professional document presentation mechanisms	L3
CO4	Utilize different information interchange formats.	L3
CO5	Develop web applications using PHP.	L3

CS 364 MOBILE COMPUTING
Sl.No	Course Outcomes	Level
CO1	Outline the features and architecture of mobile computing.	L2
CO2	Compare the services and technologies evolved in the wireless communication systems	L2
CO3	Summarize the algorithms and protocols used in cellular networks.	L2
CO4	Summarize the platforms for mobile computing.	L2
CO5	Describe the security protocols for wireless and mobile communication	L2

CS 332 MICROPROCESSOR LAB
	Course Outcomes	Level
CO1	Develop assembly language programming on 8086 using trainer kit	L3
CO2	Bulid assembly language programs using MASM	L3
CO3	Experiment with 8086 trainer kit , the interfacing various I/O devices to microprocessor	L3
CO4	Develop assembly language programming on 8051 using trainer kit	L3
CO5	Utilize one’s ability as an individual for development of effective communication, Practical skill and document design	L3

CS 334 NETWORK PROGRAMMING LAB
Sl.No	Course Outcomes	Level
CO1	Choose network related commands and configuration files in Linux operating system	L3
CO2	Develop network programming using Linux system calls.	L3
CO3	Demonstrate network traffic analysis and network monitoring tools.	L3
CO4	Model computer networks using NS2.	L3
CO5	Utilize one’s ability as an individual for development of effective communication, Practical skill and document design	L3

CS 352 COMPREHENSIVE EXAM
Sl.No	Course Outcomes	Level
CO1	Analyze the learning gained through core courses.	L4
CO2	Develop effective communication and presentation skills.	L3
CO3	Assess technical competence in basic courses relevant to domain of study.	L5
CO4	Demonstrate understanding of facts and ideas with confidence	L2
CO5	Evaluate overall technical knowledge and industry readiness.	L5

Semester VII

CS 401 COMPUTER GRAPHICS
Sl. No.	Course Outcomes	Level
CO1	Describe the working of various graphics input and display devices.	L2
CO2	Interpret different polygon drawing algorithms .	L2
CO3	Describe the methods used for two dimensional and three dimensional polygon transformations.	L2
CO4	Explain various visible surface detection methods and projection techniques.	L2
CO5	Describe the methods used for image processing.	L2

CS 403 PROGRAMMING PARADIGMS
Sl.No	Course Outcomes	Level
CO1	Illustrate the various basic constructs used in programming languages.	L2
CO2	Describe the features of data types and data structures in different programming languages. .	L2
CO3	Examine the different control abstraction mechanisms.	L3
CO4	Compare the principles and techniques involved in design and implementation of functional and logic programming languages.	L2
CO5	Explain the concepts of object oriented programming, concurrency control and run time program management in software development.	L2

CS 405 COMPUTER SYSTEM ARCHITECTURE
Sl. No.	Course Outcomes	Level
CO1	Outline the various computer models suitable for parallel processing	L2
CO2	Explain modern processor technology and supporting memory hierarchy for parallel processing	L2
CO3	Examine the various pipeline optimization mechanisms	L3
CO4	Interpret pipelining and superscalar design in processor development	L2
CO5	Outline innovative computers built with scalable, multithreaded, or dataflow architectures	L2

CS 407 DISTRIBUTED COMPUTING
Sl.No	Course Outcomes	Level
CO1	Differentiate distributed computing paradigm from other computing paradigms	L2
CO2	Outline the core concepts and architecture of distributed systems.	L2
CO3	Summarize the mechanisms for inter process communication in a distributed computing system	L2
CO4	Describe appropriate distributed system principles in ensuring transparency, consistency and fault-tolerance in distributed file systems	L2
CO5	Examine the concurrency control mechanisms in distributed transactional environment and the performance of mutual exclusion and election algorithms.	L3

CS 409 CRYPTOGRAPHY AND NETWORK SECURITY
Sl.No		Course Outcomes	Level
CO1	Summarize different classical encryption techniques.		L2
CO2	Outline various symmetric encryption algorithms.		L2
CO3	Apply mathematical concepts and the principles of public key cryptographic algorithms for doing encryption/key exchange		L3
CO4	Summarize different authentication and digital signature schemes		L2
CO5	Outline security issues in network, transport and application layers and appropriate security protocols		L2

CS 467 Elective 1-MACHINE LEARNING
Sl.No	Course Outcomes	Level
CO1	Classify a learning problem into Supervised, Unsupervised and Reinforcement based learning	L2
CO2	Design a Hypothesis for a given problem and test it	L3
CO3	Estimate the performance of a Classifier using different performance measures	L3
CO4	Examine learning scenarios suitable for probabilistic reasoning based learning	L3
CO5	Choose the best suitable clustering mechanism given a real world problem	L3

CS 465 ELECTIVE 2-BIO INFORMATICS
Sl. No.	Course Outcomes	Level
CO1	Outline the basic concepts of bioinformatics.	L2
CO2	Identify different types of biological sequence.	L3
CO3	Summarize multiple sequences and find conserved regions.	L2
CO4	Explain RNA and Protein secondary structures	L2
CO5	Illustrate genomic sequences and encoded gene regions.	L2

CS 451 SEMINAR & PROJECT PRELIMINARY
Sl.No	Course Outcomes	Level
CO1	Utilize technical resources for selecting a project/seminar topic of current relevance	L3
CO2	Analyse literatures relevant to the topics chosen.	L4
CO3	Assess the applicability and feasibility of the chosen topics in computer science field or in multi-disciplinary domains.	L5
CO4	Design the modules of a project, preserving ethical values.	L6
CO5	Develop the ability to function as an individual and as a member/leader in a team to manage projects, exhibitingtechnical report writing and oral communication skills.	L3

CS 431COMPILER DESIGN LAB
Sl.No	Course Outcomes	Level
CO1	Experiment the techniques of Lexical Analysis and Syntax Analysis	L3
CO2	Apply the knowledge of Lex & Yacc tools to develop programs	L3
CO3	Build intermediate code.	L3
CO4	Construct Optimization techniques and generate machine level code.	L3
CO5	Utilize one’s ability as an individual for development of effective communication, practical skill and document design.	L3

Semester VIII

CS 402 DATA MINING AND DATAWARE HOUSING
Sl. No.	Course Outcomes	Level
CO1	Outline data warehousing and data preprocessing techniques.	L2
CO2	Classify the data using supervised learning algorithms.	L2
CO3	Choose associations within the data using association rule mining algorithm.	L3
CO4	Apply unsupervised learning algorithms to group the data	L3
CO5	Outline the applications of Data mining.	L2

CS 404 EMBEDDED SYSTEMS
Sl.No		Course Outcomes	Level
CO1	Interpret the role of components in an embedded system.		L2
CO2	Choose the most appropriate model for embedded system.		L3
CO3	Interpret the role of different software modules in the development of embedded system.		L2
CO4	Demonstrate the integration and testing of embedded hardware and firmware using IDEs.		L2
CO5	Outline the latest trends prevalent in embedded system design.		L2

CS 464 ELECTIVE 1 ARTIFICIAL INTELLIGENCE
Course Outcomes		Level
CO1	Outline the scope and limits of Artificial Intelligence		L2
CO2	Apply Artificial Intelligence in problem solving		L3
CO3	Represent Facts and Knowledge using various Knowledge Representation Schemes		L2
CO4	Extend Artificial Intelligence for social and emergent systems		L2

CS 472 ELECTIVE 1-PRINCIPLES OF INFORMATION SECURITY
Sl.No		Course Outcomes	Level
CO1	Outline the common threats in computing faced today		L2
CO2	Summarize the basic information security policies and models		L2
CO3	Id Identify the potential vulnerabilities in software		L3
CO4	Outline the relevance of security in various domains		L2
CO5	Extend the principles of Information security to secure web services and e-transactions		L2

FS 482 ND ELECTIVE :RESPONSIBLE ENGINEERING
Sl.No	Course Outcomes	Level
CO1	Explain the role of human values, morals and ethics for professional excellence.	L2
CO2	Apply ethical theories in resolving moral dilemmas	L3
CO3	List the role of engineers in social experimentation and their responsibility for safety	L3
CO4	Summarize the responsibilities and rights of engineers in ethical perspective	L2
CO5	Explain the various zones of global issues in ethical aspects	L2

CS 492 PROJECT
Sl.No	Course Outcomes		Level
CO1		Develop a project in computer science field or in multidisciplinary domains, preserving ethical values.	L6
CO2		Choose innovative technologies and modern tools which are appropriate for the project development.	L5
CO3		Develop the capability to manage projects as an individual or as a member/leader in a team.	L3
CO4		Develop effective communication and technical report writing skills adhering to international standards.	L3
CO5		Propose solutions to real life problems through the knowledge gained.	L6

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