Academic Department

Information Technology

A blend of Computer Science, Communication Engineering and Information Science & Management — building IT professionals, researchers, innovators and entrepreneurs since 2002.

Established in 2002

B.Tech Information Technology

Information technology engineering Menu

PEOs, POs, PSOs, WK & COs

Program Educational Objectives (PEOs)

View PEO Details

PEO1: Graduates will be equipped with sound mathematical, scientific and engineering fundamentals necessary to formulate, analyze and solve engineering problems, and to pursue advanced study or research.
PEO2: Graduates will have excellent communication skills, excel in multi-disciplinary and multi-cultural teams, and have an appreciation for non-technical disciplines.
PEO3: Graduates will be recognized in their chosen fields for their broad education, leadership, integrity, and sensitivity and their ability to get abreast of the latest developments and contemporary issues, which are necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Programme Specific Outcomes (PSOs)

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The students will be able to:

PSO1 : Apply concepts to design and implement algorithms, processes or systems in areas related to networking, iot, big data analytics, block chain, and artificial intelligence.
PSO2 : Effectively use concepts learnt for cracking competitive exams and thereby build a successful career

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, review 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 anddesign 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 researchmethods 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 modernengineering 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 assesssocietal, 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 solutionsin 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 ofthe engineering practice.
- PO9: Individual and team work: Function effectively as an individual, and as a member or leader indiverse teams, and in multidisciplinary settings.
- PO10: Communication: Communicate effectively on complex engineering activities with the engineeringcommunity 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 theengineering 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: Life-long learning: Recognize the need for, and have the preparation and ability to engage inindependent and life-long learning in the broadest context of technological change.

Knowledge and Attitude Profile (WK)

View all WKs

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

----------------------------------------- 2024 Scheme -----------------------------------------

List of Courses

Semester III
GAMAT301	Mathematics for Computer and Information Science-3
PCITT302	Computer Organisation and Architecture
PCITT303	Data Structures
PBITT304	Database Management System
GAEST305	Digital Electronics and Logic Design
UCHUT346	Economics for Engineers
PCITL307	Programming in Python Lab
PCITL308	Data Structures Lab

Semester IV
GAMAT401	Mathematics for Computer and Information Science-4
PCITT402	Computer Networks
PCITT403	Operating Systems
PBITT404	Data Science
PEITT412	Data Communication and Networking
UCHUT347	Engineering Ethics and Sustainable Development
PCITL407	Computer Networks Lab
PCITL408	Operating Systems Lab

Semester V
PCITT501	Machine Learning
PEITT502	Algorithm Analysis and Design
PCITT503	Software Engineering
PBITT504	Web Application Development
PEITT524	Data Mining and Warehousing
PCITL507	Machine Learning Lab
PCITL508	Algorithm Analysis and Design Lab

Course Outcomes (COs)

Semester III

GAMAT301 Mathematics for Computer and Information Science-3
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Understand the concept, properties and important models of discrete random variables and to apply in suitable random phenomena.	K3
CO2	Understand the concept, properties and important models of continuous random variables and to apply in suitable random phenomena.	K3
CO3	Familiarize and apply limit theorems and to understand the fundamental characteristics of stochastic processes.	K3
CO4	Solve problems involving Markov Chains, to understand their theoretical foundations and to apply them to model and predict the behaviour of various stochastic processes.	K3

PCITT302 COMPUTER ORGANISATION AND ARCHITECTURE
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Apply the fundamental concepts of computer operations, memory organization, and instruction set architectures.	K3
CO2	Describe and apply the concepts of pipelining, including pipeline hazards and their implementation in RISC-V architecture.	K3
CO3	Apply the principles and performance optimization techniques of cache memory and the organization and protocols of DRAM systems.	K2
CO4	Understand different parallel processor architectures and multicore processors, with a case study on Intel Core i7.	K2

PCITT303 DATA STRUCTURES
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Apply the concept of data structure and analyze algorithm complexity using graphical and tabular methods in implementing stack and queue operations.	K3
CO2	Implement and evaluate searching, sorting, and hash table operations with various collision resolution techniques.	K3
CO3	Implement and manipulate linked lists and utilize them for stack and queue operations, including polynomial manipulation	K2
CO4	Apply tree and graph algorithms to traverse, search, and solve problems, including shortest path computations in graph structures.	K3

PCITT304 DATABASE MANAGEMENT SYSTEM
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Develop a relational database schema for a given project, utilizing Entity-Relationship Diagrams (ERDs) and translating them into a relational schema.	K3
CO2	Normalize a database schema and develop complex SQL queries to manipulate and retrieve data efficiently.	K3
CO3	Implement and manage database constraints, transactions, concurrency control mechanisms, and backup/recovery strategies to ensure data integrity and system reliability.	K3
CO4	Develop database application and prepare detailed documentation.	K3

GAEST305 DIGITAL ELECTRONICS AND LOGIC DESIGN
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Summarize the basic concept of different number systems and perform conversion and arithmetic operations between different bases	K2
CO2	Interpret a combinational logic circuit to determine its logic expression, truth table, and timing information and to synthesize a minimal logic circuit through algebraic manipulation or with a Karnaugh map	K2
CO3	Illustrate the fundamental role of hardware description languages in modern digital design and be able to develop the hardware models for different digital circuits	K3
CO4	Develop MSI logic circuits using both the classical digital design approach and the modern HDL-based approach	K3
CO5	Develop common circuits based on sequential storage devices including counter, shift registers and a finite state machine using the classical digital design approach and an HDL-based structural approach	K3

UCHUT346 ECONOMICS FOR ENGINEERS
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Understand the fundamentals of various economic issues using laws and learn the concepts of demand, supply, elasticity and production function	K2
CO2	Develop decision making capability by applying concepts relating to costs and revenue and acquire knowledge regarding the functioning of firms in different market situations	K3
CO3	Outline the macroeconomic principles of monetary and fiscal systems, national income and stock market	K2
CO4	Make use of the possibilities of value analysis and engineering, and solve simple business problems using break even analysis, cost benefit analysis and capital budgeting techniques	K3

PCITL307 PROGRAMMING IN PYTHON LAB
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Apply advanced list comprehensions, tuples, and dictionaries for efficient data manipulation and develop text processing scripts, including functions with advanced argument handling and lambda functions	K3
CO2	Implement robust programs using exception handling and user-defined exceptions.	K3
CO3	Implement file operations, work with relational databases, CSV, and web-based data sources effectively	K3
CO4	Perform basic and advanced image processing using libraries such as OpenCV and matplotlib, and demonstrate basic and advanced objectoriented programming concepts	K3

PCITL308 DATA STRUCTURES LAB
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Perform operations on fundamental data structures such as arrays, stacks, queues, linked lists, and hash tables	K3
CO2	Implement and analyze various sorting (e.g., bubble, insertion, selection, quick, merge) and searching algorithms (linear and binary search), understanding their efficiency and use cases.	K3
CO3	Solve complex problems involving tree and graph data structures.	K3
CO4	Analyze and optimize the performance of data structure operations, including polynomial representation and addition, using both arrays and linked lists and different implementations of stacks and queues.	K3

Semester IV

GAMAT401 MATHEMATICS FOR COMPUTER AND INFORMATION SCIENCE-4
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Understand the fundamental concepts of graph theory such as types of graphs, degree of a vertex, graph isomorphism, connectedness.	K2
CO2	Understand the concepts of Euler graphs, Hamiltonian graphs and connectivity	K2
CO3	Apply Prim’s and Kruskal’s algorithms for finding minimum cost spanning tree and Dijkstra’s and Floyd-Warshall algorithms for finding shortest paths.	K3
CO4	Illustrate various representations of graphs using matrices and apply vertex coloring in real life problems.	K3

PCITT402 COMPUTER NETWORKS
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Distinguish the terminology and concepts of computer networks and Physical Layer	K2
CO2	Illustrate different concepts of Data Link Layer including Error Control, Channel allocation and popular wired and wireless LAN technologies.	K2
CO3	Describe the network layer concepts, routing algorithms, congestion control approaches and IP protocol and addressing fundamentals.	K2
CO4	Describe the features and format of different Transport layer and Application layers protocols	K2

PCITT403 OPERATING SYSTEMS
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Describe the concepts of operating systems and apply process management and process scheduling concepts to solve problems.	K2
CO2	Illustrate process synchronization, deadlock, and deadlock – prevention and avoidance techniques.	K2
CO3	Illustrate the memory management techniques.	K2
CO4	Illustrate disk scheduling algorithm to solve problems and describe the file system implementation and virtual machine.	K2

PBITT404 DATA SCIENCE
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Apply the fundamental concepts and scope of data science, install and utilize Python and Jupyter Notebook for data science applications.	K3
CO2	Perform exploratory data analysis (EDA), build effective data pipelines including feature engineering, dimensionality reduction, and hyperparameter optimization.	K3
CO3	Implement and evaluate various machine learning algorithms.	K3
CO4	Apply various performance metrics on Machine Learning Models.	K3

PCITL407 COMPUTER NETWORKS LAB
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Demonstrate internetworking and network components	K3
CO2	Configure and verify both static and dynamic routing protocols	K3
CO3	Develop the ability to implement and manage VLANs, standard and extended access lists	K3
CO4	Use remote login, file transfer and automatic network configuration protocols	K3

PCITL408 OPERATING SYSTEMS LAB
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Implement process and thread lifecycle management, including creation, termination, and scheduling.	K3
CO2	Implement inter-process communication techniques such as pipes, message queues, and shared memory.	K3
CO3	Solve classical synchronization problems like Producer-Consumer and Dining Philosophers using semaphores and threads.	K3
CO4	Implement memory management and disk scheduling algorithms, and understand file organization and allocation strategies.	K3

UCHUT347 Engineering Ethics and Sustainable Development
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Develop the ability to apply the principles of engineering ethics in their professional life.	K3
CO2	Develop the ability to exercise gender-sensitive practices in their professional lives	K4
CO3	Develop the ability to explore contemporary environmental issues and sustainable practices.	K5
CO4	Develop the ability to analyse the role of engineers in promoting sustainability and climate resilience	K4
CO4	Develop interest and skills in addressing pertinent environmental and climate-related challenges through a sustainable engineering approach.	K3

PEITT412 Data Communication and Networking
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Explain the fundamental concepts of analog and digital Data Communication and various transmission media	K2
CO2	Apply different signal encoding and error control techniques in data transmission.	K3
CO3	Explain data link control protocols and concepts of multiplexing and spread spectrum.	K2
CO4	Explain the principles of Networking, Wireless LANs and Cellular Wireless Networks	K2

Semester V

PCITT501 MACHINE LEARNING
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Explain basic machine learning concepts, parametric methods for estimation and dimensionality reduction techniques to improve models.	K2
CO2	Use supervised learning methods like linear regression and decision trees, evaluate model performance and ensemble techniques.	K3
CO3	Use Support Vector Machines and Neural Networks, including understanding margins, kernel functions, and the basics of the perceptron algorithm and back propagation.	K3
CO4	Apply clustering methods, reinforcement learning techniques, and basic deep learning concepts like convolutional neural networks and transformers.	K3

PEITT502 ALGORITHM ANALYSIS AND DESIGN
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Explain asymptotic notations used in the performance analysis of algorithms, to solve recurrence equations and study the amortized analysis.	K2
CO2	Apply divide and conquer strategy to solve practical problems efficiently	K3
CO3	Apply greedy and dynamic programming techniques in algorithm design.	K3
CO4	Apply backtracking and branch and bound techniques in algorithm design.	K3
CO5	Explain Balanced Search Trees, Graph Traversals, and sophisticated algorithms such as string matching and approximation algorithms	K2

PCITT503 SOFTWARE ENGINEERING
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Discuss the software process and lifecycle models of software engineering, including the roles of software engineers in various phases of development.	K2
CO2	Apply various techniques to elicit requirements from stakeholders, create detailed requirement specifications, and ensure that requirements are well-defined and traceable throughout the software developmentprocess.	K3
CO3	Apply object-oriented modeling techniques to design and document software systems.	K3
CO4	Explain the fundamental principles of software design, including design process and architectural patterns.	K2

PBITT504 WEB APPLICATION DEVELOPMENT
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Apply the fundamental concepts of javascript to add user interaction in the website	K3
CO2	Compare javascript, jquery in terms of performance and ease of use	K2
CO3	Build web applications with Node.js, express and MongoDB.	K3
CO4	Develop and deploy web applications with Node.js, express, MongoDB adhering to MVC architecture.	K3

PEITT524 DATA MINING AND WAREHOUSING
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Understand the basic concepts in data mining and the data preprocessing	K2
CO2	Describe the architecture, components, and design of data warehouses, including ETL processes and schema designs	K2
CO3	Apply various data mining techniques such as classification, clustering, and association rule mining to real-world datasets	K3
CO4	Demonstrate advanced data mining topics and practical applications, demonstrating the ability to integrate and apply knowledge in a realworld context	K3

PCITL507MACHINE LEARNING LAB
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Demonstrate proficiency in Python Libraries for Machine Learning, Python libraries such as Pandas and Matplotlib to preprocess data, visualize datasets, and gain insights essential for machine learning applications.	K3
CO2	Implement various machine learning algorithms, including Multiple Linear Regression, Logistic Regression, Decision Trees (ID3 & CART), and Naive Bayes’ Classifier, and will be able to assess their performance on different datasets.	K3
CO3	Build and apply advanced models such as Multilayer Perceptron for character recognition, Support Vector Machines for spam filtering, and Convolutional Neural Networks for image classification, as well as implement clustering techniques like K-Means and DBScan.	K3
CO4	Implement Q-Learning for simple game scenarios and perform sentiment analysis using ensemble methods such as Random Forest, Adaboost, and XGBoost, demonstrating a comprehensive understanding of both supervised and reinforcement learning techniques.	K4

PCITL508Algorithm Analysis and Design Lab
CO No	Course Outcome	Bloom’s Knowledge Level (KL)
CO1	Implement Graph Traversals and their applications.	K3
CO2	Implement Divide and Conquer and Greedy Technique.	K3
CO3	Implement Dynamic Programming and Backtracking Techniques	K3
CO4	Implement String Matching Algorithms	K3

----------------------------------------- 2019 Scheme -----------------------------------------

List of Courses

SEMESTER	SUB CODE	COURSES
I	MA101	Linear Algebra and Calculus
	CYT 100	Engineering Chemistry
	EST 110	Engineering Graphics
	EST 120	Basics of Civil & Mechanical Engineering
	HUN 101	Life Skills
	CYL 120	Engineering Chemistry Lab
	ESL 120	Civil & Mechanical Workshop
II	MA 102	Vector Calculus, Differential Equations And Transforms
	PHT 100	Engineering Physics A
	EST 100	Engineering Mechanics
	HUN 102	Professional Communication
	EST 130	Basics of Electrical and Electronics Engineering
	EST 102	Programming in C
	ESL 130	Electrical & Electronics Workshop
	PHL 120	Engineering Physics lab
III	MCN201	SUSTAINABLE ENGINEERING
	ITT201	DATA STRUCTURES
	ITT203	DIGITAL SYSTEM DESIGN
	ITT205	PROBLEM SOLVING USING PYTHON
	MAT 201	DISCRETE MATHEMATICAL STRUCTURES
	RAT281	BASICS OF ROBOTICS (MINOR)
	CET 285	INFORMATICS FOR INFRASTRUCTURE MANAGEMENT (MINOR)
IV	ITT202	PRINCIPLES OF OBJECT ORIENTED TECHNIQUES
	ITT206	Database Management Systems
	HUT200	Professional Ethics
	MCN202	CONSTITUTION OF INDIA
	MAT202	PROBABILITY,STATISTICS AND NUMERICAL METHODS
	CET-286	Climate Change and Hazard Mitigation (MINOR)
	RAT 282	INTRODUCTION TO INDUSTRIAL AUTOMATION (MINOR)
	TTT294	INUMBER THEORY (Honour)
V	ITT301	WEB APPLICATION DEVELOPMENT
	ITT303	OPERATING SYSTEM CONCEPTS
	ITT305	DATA COMMUNICATION AND NETWORKING
	ITT307	FORMAL LANGUAGES AND AUTOMATA THEORY
	ITT309	MANAGEMENT FOR SOFTWARE ENGINEERS
	RAT381	AI AND MACHINE LEARNING FOR ROBOTICS (MINOR)
	CET385	SUSTAINABILITY ANALYSIS AND DESIGN (MINOR)
	ITT396	APPLIED COMPUTER SECURITY (HONOUR)
VI	ITT302	INTERNETWORKING WITH TCP/IP
	ITT304	Algorithm Analysis And Design
	ITT306	Data Science
	ITT322	COMPILER DESIGN
	HUT300	Industrial Economics And Foreign Trade
	ITT308	Comprehensive Course Work
VII	ITT401	Data Analytics
	ITT423	Artificial Intelligence
	CET455	ENVIRONMENTAL HEALTH & SAFETY
	MCN401	INDUSTRIAL SAFETY ENGINEERING
VIII	ITT402	Cryptography and Network Security
	ITT426	INTERNET OF THINGS
		Block Chain Technology
	ITT418	INFORMATION STORAGEMANAGEMENT

Course Outcomes (COs)

Course-wise outcomes for the B.Tech Information Technology programme, grouped by semester.

Semester III

MCN 201 SUSTAINABLE ENGINEERING
Sl. No.	Course Outcomes	Level
CO1	Understand the relevance and the concept of sustainability and the global initiatives in this direction	L2
CO2	Analyse the different types of environmental pollution problems and their sustainable solutions.	L3
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	L2

ITT201 DATA STRUCTURES
Sl. No.	Course Outcomes	Level
CO1	Summarize different categories of data structures	L2
CO2	Identify different parameters to analyze the performance of an algorithm	L3
CO3	Explain the significance of dynamic memory management Techniques	L2
CO4	Design algorithms to perform operations with Linear and Nonlinear data structures	L3
CO5	Illustrate various technique to for searching, Sorting and hashing	L2

ITT203 DIGITAL SYSTEM DESIGN
Sl. No.	Course Outcomes	Level
CO1	To perform base conversion and arithmetic operations in various number systems	L3
CO2	To design digital circuits using simplified Boolean functions Create	L3
CO3	To develop simple design of combinational circuits	L3
CO4	To develop simple design of sequential circuits	L3
CO5	To interpret the generalization of synchronous and asynchronous sequential circuits	L2

ITT205 PROBLEM SOLVING USING PYTHON
Sl. No.	Course Outcomes	Level
CO1	Write programs using Python and learn its execution environment	L2
CO2	Apply programs to implement various computational tasks which requires loops and conditional statements	L3
CO3	Write programs using functions and packages	L2
CO4	Apply programs to implement the concept of file handling using python	L3
CO5	Design object oriented programs to implement daily life problems and their solutions	L3

MAT 201 DISCRETE MATHEMATICAL STRUCTURES
Sl. No.	Course Outcomes	Level
CO1	Check the validity of predicates in propositional and quantified propositional logic using truth tables, deductive reasoning and inference theory on propositional logic	L3
CO2	Solve counting problems by applying the elementary counting techniques – Rule of sum, Rule of product, permutation, combination, Binomial theorem, pigeonhole principle and principle of inclusion and exclusion	L3
CO3	Classify binary relations into various types and illustrate an application for each type of binary relation in computer science	L2
CO4	Illustrate an application for partially ordered set and complete lattices in computer science.	L3
CO5	Explain generating functions and solve first order and second order linear recurrence relations with constant coefficients	L3

RAT281 BASICS OF ROBOTICS(MINOR)
Sl. No.	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 appropriate Robotic configuration and gripper for a particular application	L3
CO4	Obtain kinematic model of robotic manipulators	L3
CO5	Obtain the trajectories in joint space and Cartesian space	L3
CO6	Develop dynamic model and design the controller for robotic manipulators	L3

CET 285-INFORMATICS FOR INFRASTRUCTURE MANAGEMENT(MINOR)
Sl. No.	Course Outcomes	Level
CO1	To understand the fundamental concepts of data science, informatics & internet of things	L2
CO2	To learn the use of geomaticsin planning and site selection of infrastructure projects Applying & Analysing	L3
CO3	To apply building informatics in construction, monitoring and project management	L3
CO4	To learn the role of IoT technology in infrastructure management	L3

Semester IV

ITT202-PRINCIPLES OF OBJECT ORIENTED TECHNIQUES
Sl. No.	Course Outcomes	Level
CO1	Describe the specific capabilities of Object-Oriented paradigm compared to procedure oriented paradigm	L2
CO2	Explain the use of object oriented concepts to analyse the given problem.	L2
CO3	Describe the different inheritance features available in Java	L2
CO4	Construct robust programs using Exception Handling	L3
CO5	Construct applets utilising multithreading, event handling and Graphical User Interface, also model the problem scenarios using UML diagrams.	L3

ITT206-Database Management Systems
Sl. No.	Course Outcomes	Level
CO1	Describe the fundamental concepts of databases.	L2
CO2	Construct an Entity-Relationship (ER) model and transform to relational schema.	L3
CO3	Develop queries for relational database in the context of practical applications.	L3
CO4	Model and design relational databases following the design principles.	L3
CO5	Describe the concepts of control and recovery techniques in transaction processing and NoSQL database.	L2

HUT 200 Professional Ethics
Sl. No.	Course Outcomes	Level
CO 1	Understand the core values that shape the ethical behaviour of a professional.	L2
CO 2	Adopt a good character and follow an ethical life.	L2
CO 3	Explain the role and responsibility in technological development by keeping personal ethics and legal ethics.	L3
CO 4	Solve moral and ethical problems through exploration and assessment by established experiments.	L2
CO 5	Apply the knowledge of human values and social values to contemporary ethical values and global issues.	L3

MCN202- CONSTITUTION OF INDIA
Sl. No.	Course Outcomes	Level
CO 1	Explain the background of the present constitution of India and features.	L2
CO 2	Utilize the fundamental rights and duties.	L3
CO 3	Understand the working of the union executive, parliament and judiciary.	L2
CO 4	Understand the working of the state executive, legislature and judiciary.	L2
CO 5	Utilize the special provisions and statutory institutions.	L3
CO 6	Show national and patriotic spirit as responsible citizens of the country	L3

MAT202 PROBABILITY,STATISTICS AND NUMERICAL METHODS
Sl. No.	Course Outcomes	Level
CO 1	Understand the concept, properties and important models of discrete random variables and,using them, analyse suitable random phenomena.	L2
CO 2	Understand the concept, properties and important models of continuous random variables and,using them, analyse suitable random phenomena	L2
CO 3	Perform statistical inferences concerning characteristics of a population based on attributes of samples drawn from the population
CO 4	4 Compute roots of equations, evaluate definite integrals and perform interpolation on given numerical data using standard numerical techniques
CO 5	Apply standard numerical techniques for solving systems of equations, fitting curves on given numerical data and solving ordinary differential equations.	L3

CET-286 Climate Change and Hazard Mitigation(MINOR)
Sl. No.	Course Outcomes	Level
CO1	Explain the basic physical principles of the global climate system.	L2
CO2	Describe the large-scale climatic changes which have influenced the ecosystem.	L2
CO3	List actions in key sectors to mitigate hazards due to climate change.	L4
CO4	Identify international initiatives which support countries to address the climate change challenges.	L3
CO5	Analyse the impact of climate change on ecosystem.	L4

RAT 282- INTRODUCTION TO INDUSTRIAL AUTOMATION(MINOR)
Sl. No.	Course Outcomes	Level
CO1	Understand the basic concepts of automation methodologies and trends in manufacturing.	L2
CO2	Understand the working principle and applications of different types of sensors.	L2
CO3	Summarize the design aspects of modern CNC machines and different types of material handling devices.	L2
CO4	Develop different pneumatic circuits based on their applications.	L3
CO5	Apply the concepts of PLC programming along with different automated inspection methods.	L3

ITTT294-NUMBER THEORY(Honour)
Sl. No.	Course Outcomes	Level
CO1	Examine results involving divisibility, greatest common divisor, Least Common multiple and a few applications	L3
CO2	Demonstrate theory and methods to solve Linear Difference Equations	L2
CO3	Summarize theory of congruence	L2
CO4	Solve linear congruent equations	L3
CO5	Illustrate three classical theorems of Number theory and Apply number theory to ciphers.	L3

Semester V

ITT301- WEB APPLICATION DEVELOPMENT
CO No.	Course Outcomes	Level
CO1	Identify HTML5 elements in webpages	L2
CO2	Implement Cascading Stylesheet to add style in HTML pages	L3
CO3	Apply JavaScript to add functionality to web pages	L3
CO4	Use Ajax & JQuery to enhance the functioning of web pages	L3
CO5	Develop web applications with HTML, CSS, JavaScript, Node JS and MongoDB	L3

ITT303-OPERATING SYSTEM CONCEPTS
Sl. No.	Course Outcome (CO)	Level
CO1	Explain the concepts and functionality of operating systems.	L2
CO2	Describe the concepts of process management and process synchronization and apply them to solve problems.	L3
CO3	Illustrate deadlock and deadlock – prevention and avoidance techniques.	L3
CO4	Illustrate the memory management techniques.	L3
CO5	Explain the file system and its implementation	L2
CO6	Use the disk scheduling algorithms to solve problems.	L3

ITT305-DATA COMMUNICATION AND NETWORKING
Sl.No.	Course Outcome (CO)	Level
CO1	Discuss the basic concepts used in data communication and computer networking	L2
CO2	Identify the concepts of data transmission and apply signal encoding techniques in data transmission.	L3
CO3	Compare different transmission mode, multiplexing, and Spread Spectrum techniques.	L2
CO4	Describe the design issues and protocols in data link layer.	L2
CO5	Summarize the routing algorithms and congestion control techniques in network layer.	L2

ITT307- FORMAL LANGUAGES AND AUTOMATA THEORY
Sl. No.	Course Outcomes	Level
CO1	Understand the formal language hierarchy and its applications in the field of computation	L2
CO2	Construct automaton for any given regular language and find its equivalent regular expressions	L3
CO3	Design a context free grammar for any given context free language	L3
CO4	Construct Turing machines and understand their capability.	L3
CO5	Analyze P,NP class and various undecidable problems	L4

ITT309- MANAGEMENT FOR SOFTWARE ENGINEERS
Sl. No.	Course Outcomes	Level
CO1	Understand about the basics of software process, software development life cycle and process models.	L2
CO2	Interpret the concepts of managing software projects	L2
CO3	Make use of project evaluation techniques and choose software estimation approaches for effort and cost	L2
CO4	Explain on planning the project activities and describe the concepts of risk management and resource allocation	L2
CO5	Understand project monitoring and control, organize people and teams and describe the techniques for ensuring software quality	L2

RAT381-AI AND MACHINE LEARNING FOR ROBOTICS(MINOR)
Sl. No.	Course Outcomes	Level
CO1	Appreciate the role of AI in solving problems in different domains and their evolution of AI
CO2	Explain the different learning techniques used in Machine learning
CO3	Recognize the need for multilayer neural network for solving complex tasks
CO4	Understand the fundamental concepts of Image processing and its application in computer vision	L2
CO5	Explain the different ways of perception of the environment by a robot and its use in path planning

CET385-SUSTAINABILITY ANALYSIS AND DESIGN (MINOR)
Sl. No.	Course Outcomes	Level
CO1	Identify the impacts of various materials and processes on the biosphere	Remembering
CO2	Identify the parameters used in the calculation of sustainability	L2
CO3	Estimate sustainability metrics for application-material combinations.	L3
CO4	4 Apply the design approaches by integrating sustainability concepts	L3

ITT396-APPLIED COMPUTER SECURITY(HONOUR)
Sl. No.	Course Outcomes	Level
CO1	Outline the basic concepts and techniques to secure various applications	L2
CO2	Explain various security mechanisms for storage infrastructure	L2
CO3	Interpret the security techniques of IoT environment	L2
CO4	Apply the underlying principles of security to cloud computing platforms	L3
CO5	Apply the significance of blockchain technology for securing various applications	L3

Semester VI

ITT302 INTERNETWORKING WITH TCP/IP
Sl.No.	Course Outcomes	Level
CO 1	Discuss internetworking concepts and internet address resolution.	Level2: Understand
CO 2	Illustrate the functions of IPv4, IPv6, and ICMP protocols	Level 3: Apply
CO 3	Explain internet routing architecture and internet multicasting	Level2: Understand
CO 4	Solve the design issues and protocols in transport layer	Level 3: Apply
CO 5	Explain application layer protocols, network virtualization and software defined networking	Level2: Understand

Algorithm Analysis And Design – (ITT304)
Sl. No.	Course Outcomes	Level
CO 1	Explain asymptotic notations used in the performance analysis of algorithms and to solve recurrence equations	Level 2: Understand
CO 2	Apply divide and conquer strategy to solve practical problems efficiently	Level 3: Apply
CO 3	Apply greedy and dynamic programming techniques in algorithm design	Level 3: Apply
CO 4	Apply backtracking and branch and bound techniques in algorithm design	Level 3: Apply
CO 5	Interpret sophisticated algorithms such as string matching and approximation algorithms software defined networking	Level 2: Understand

Data Science – (ITT306)
Sl. No.	Course Outcomes	Level
CO1	Explain the fundamental concepts and various aspects of data science	Level 2: Understand
CO2	Choose data validationtechniques suitable for statistical analysis andpresent results using data visualization techniques.	Level 2: Understand
CO3	Identify different statistical learning algorithm for solving a problem	Level 3: Apply
CO4	Use statistical analysis to characterize and interpret data sets	Level 3: Apply
CO5	Compare the pros/cons of various models and algorithms used for data analysis and data mining	Level 2: Understand
CO6	Develop the ability to perform basic data analysis in Python and understand the fundamentals of deep learning.	Level 3: Apply

COMPILER DESIGN-ITT322
Sl. No.	Course Outcomes	Level
CO1	Explain the different phases of a compilers	Level 1: Remember
CO2	Illustrate different automata, context free grammars for lexical analysis and parsing	Level 2: Understand
CO3	Compare top-down parsers with bottom-up parsers	Level 3: Apply
CO4	Construct different parsing tables for SLR, LALR ,LR, CLR	Level 3: Apply
CO5	Illustrate the different syntax directed translation schemes , different code optimization techniques and code generation issues	Level 2: Understand

Industrial Economics And Foreign Trade – (HUT300)
Sl. No.	Course Outcomes	Level
CO1	Explain the problem of scarcity of resources and consumer behaviour, and to evaluate the impact of government policies on the general economic welfare. (Cognitive knowledge level: Understand)	Level 1: Remember
CO2	Take appropriate decisions regarding volume of output and to evaluate the social cost of production. (Cognitive knowledge level: Apply)	Level 2: Understand
CO3	Determine the functional requirement of a firm under various competitive conditions. (Cognitive knowledge level: Analyse)	Level 3: Apply
CO4	Examine the overall performance of the economy, and the regulation of economic fluctuations and its impact on various sections in the society. (Cognitive knowledge level: Analyse)	Level 3: Apply
CO5	Determine the impact of changes in global economic policies on the business opportunities of a firm. (Cognitive knowledge level: Analyse)	Level 2: Understand

Comprehensive Course Work – (ITT308)
Sl. No.	Course Outcomes	Level
CO1	Explain the core concepts in the courses listed in the prerequisite section (ITT 201, ITT 202, ITT 206, ITT 303, ITT 305).	Level2: Understand
CO2	Interpret questions asked and answer them withconfidence	Level 2: Understand
CO3	Practice the comprehensive knowledge gained in basic courses in the field of Information Technology to build confidence for appearing for a competitive examination	Level 3: Apply

Semester VII

Data Analytics – (ITT401)
Sl. No.	Course Outcomes	Level
CO 1	Describe the introductory concepts of data analytics; integrate statistical learning into data analytic processing and tools	Level 2: Understand
CO 2	Summarize the big data concepts, methods, tools and applications; explain the evolution of NoSQL with popular NoSQL products like MongoDB	Level 3: Apply
CO 3	Illustrate the ideas of distributed processing with Hadoop, MapReduce paradigm and related projects namely HBase, Spark, YARN, Hive and Pig	Level 2: Understand
CO 4	Experiment with R language to perform data exploration, wrangling and modelling	Level 3: Apply
CO 5	Analyze how big data techniques could be used in diverse application domains of real world	Level 4: Analyze

Artificial Intelligence – (ITT423)
Sl. No.	Course Outcomes	Level
CO1	Discuss the fundamental foundations of artificial intelligence (AI) and familiarize with the search terminologies and uninformed search.	Level 2: Understand
CO2	Demonstrate various informed search methods to solve AI application problems.	Level 3: Apply
CO3	Illustrate the concepts of knowledge representation through logics, inference rules and deduce solutions using the principle of resolution.	Level 3: Apply
CO4	Explain the concept of learning and explore uncertainty with probabilistic reasoning.	Level 2: Understand
CO5	Describe the basics of neural network and the concepts of expert systems.	Level 2: Understand

CET 455 ENVIRONMENTAL HEALTH & SAFETY
Sl. No.	Course Outcomes	Level
CO1	Explain the Toxicology and Occupational Health associated with industries.
CO2	Identify chemical and microbial agents that originate in the environment and can impact human health.
CO3	Describe various measures to ensure safety in Construction industry.
CO4	Explain the effect of air and water pollution on environment.
CO5	Describe the safety measures against various environmental hazards.

MCN401 INDUSTRIAL SAFETY ENGINEERING
Sl. No.	Course Outcomes	Level
CO 1	Describe the theories of accident causation and preventive measures of industrial accidents. (Cognitive Knowledge level: Understand)
CO 2	Explain about personal protective equipment, its selection, safety performance & indicators and importance of housekeeping. (Cognitive Knowledge level: Understand)
CO 3	Explain different issues in construction industries. (Cognitive Knowledge level:Understand)
CO 4	Describe various hazards associated with different machines and mechanical material handling. (Cognitive Knowledge level: Understand)
CO 5	Utilise different hazard identification tools in different industries with the knowledge of different types of chemical hazards. (Cognitive Knowledge level: Apply)

Semester VIII

Cryptography and Network Security -ITT402
Sl. No.	Course Outcomes	Level
CO1	Apply the concepts of number theory in designing crypto systems	Level 3: Apply
CO2	Explain various network security aspects, cryptanalytic attacks and classical cryptosystems	Level 2: Understand
CO3	Describe various symmetric key cryptosystems, hash and message authentication functions.	Level 2: Understand
CO4	Apply the principles of asymmetric key cryptosystems and digital signature.	Level 3: Apply
CO5	Discuss various protocols to ensure Email Security and Network Security.	Level 2: Understand

INTERNET OF THINGS-ITT426
Sl. No..	Course Outcome (CO)	Level
CO1	Discuss the key techniques and theory behind Internet of Things	Level 2: Understand
CO2	Distinguish between different IoT Protocols and their applications	Level 2: Understand
CO3	Apply effectively the various enabling technologies (both hardware and software) for IoT.	Level 3: Apply
CO4	Describe the integration of Cloud and IoT with data acquisition and analytics	Level 2: Understand
CO5	Design and build IoT system for any one interesting Use case	Level 3: Apply

Block Chain Technology
Sl. No.	Course Outcomes	Level
CO1	Discuss the cryptographic building blocks of blockchain technology	Level 2: Understand
CO2	Explain the fundamental concepts of blockchain technology	Level 2: Understand
CO3	Summarize the classification of consensus algorithms	Level 2: Understand
CO4	Explain the concepts of first decentralized cryptocurrency bitcoin	Level 2: Understand
CO5	Explain the use of smart contracts and its use cases.	Level 2: Understand
CO6	Develop simple applications using Solidity language on Ethereum platform.	Level 3: Apply

INFORMATION STORAGE MANAGEMENT-ITT418
Sl. No.	Course Outcome (CO)	Level
CO1	Explain data creation and the value of data to a business.	Level 2: Understand
CO2	Describe the solutions available for data storage and core elements of a storage infrastructure	Level 2: Understand
CO3	Summarise concepts of SAN storage technologies	Level 2: Understand
CO4	Explain concepts of NAS storage technologies	Level 2: Understand
CO5	Describe challenges in data storage security	Level 2: Understand

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Course Outcomes (COs)