CHRIST (Deemed to University), Bangalore

DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

School of Business and Management

Syllabus for
Bachelor of Technology in Electronics and Computer Engineering(with specialization in Artificial Intelligence and Machine Learning)
Academic Year  (2023)

 
3 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CY321 CYBER SECURITY Skill Enhancement Courses 2 0 0
EC333P ELECTRONIC DEVICES AND CIRCUITS Core Courses 5 4 100
ECHO341CSP INTRODUCTION TO CRYPTOLOGY Minors and Honours 4 4 50
ELC331 MATHEMATICS FOR INTELLIGENT SYSTEMS Core Courses 3 3 100
ELC332P DATA STRUCTURES AND ALGORITHMS Core Courses 5 4 100
ELC334 DIGITAL ELECTRONICS Core Courses 5 4 100
ELC335 PROGRAMMING LANGUAGE PARADIGM Core Courses 3 3 100
HS325 PROFESSIONAL ETHICS Core Courses 2 2 50
4 Semester - 2022 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BS451 ENGINEERING BIOLOGY LABORATORY - 2 2 50
EC434 COMPUTER ORGANIZATION AND PROCESSORS - 3 3 100
EC435 COMPUTER NETWORKS - 3 3 100
ECHO441CS INTRODUCTION TO BLOCKCHAIN - 12 4 100
ELC431P OBJECT ORIENTED PROGRAMMING - 5 4 100
ELC432 ARTIFICIAL INTELLIGENCE - 3 3 100
ELC433 SIGNALS AND SYSTEMS - 3 3 100
EVS421 ENVIRONMENTAL SCIENCE - 2 0 0
5 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CSOE561E04 PYTHON FOR ENGINEERS Interdisciplinary Elective Courses 3 3 100
CSOE561E05 BASICS OF MACHINE LEARNING Interdisciplinary Elective Courses 3 3 100
EC532P DIGITAL SIGNAL PROCESSING Core Courses 5 4 100
EC533P MICROCONTROLLER BASED SYSTEM DESIGN Core Courses 5 4 100
ECHO541CSP INTRODUCTION TO CRYPTOLOGY Minors and Honours 4 4 50
ECHO542CS INTRODUCTION TO BLOCKCHAIN Minors and Honours 4 4 100
EEOE531 HYBRID ELECTRIC VEHICLES Interdisciplinary Elective Courses 4 3 100
EEOE532 ROBOTICS AND AUTOMATION Interdisciplinary Elective Courses 4 3 100
EEOE533 SMART GRIDS Interdisciplinary Elective Courses 3 3 100
ELC531P DATABASE MANAGEMENT SYSTEMS Core Courses 5 4 100
ELC541E04 OPERATING SYSTEMS Discipline Specific Elective Courses 3 3 50
IC521 CONSTITUTION OF INDIA Skill Enhancement Courses 2 0 50
NCCOE1 NCC1 Interdisciplinary Elective Courses 3 3 100
6 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
BTGE631 CORPORATE SOCIAL RESPONSIBILITY - 2 2 100
BTGE632 DIGITAL MEDIA - 2 2 100
BTGE633 FUNCTIONAL ENGLISH - 2 2 100
BTGE634 GERMAN - 2 2 100
BTGE635 INTELLECTUAL PROPERTY RIGHTS - 2 2 100
BTGE636 INTRODUCTION TO AVIATION - 2 2 100
BTGE637 PROFESSIONAL PSYCHOLOGY - 2 2 100
BTGE651 DATA ANALYTICS THROUGH SPSS - 2 2 100
BTGE652 DIGITAL MARKETING - 2 2 100
BTGE653 DIGITAL WRITING - 2 2 100
BTGE654 PHOTOGRAPHY - 2 2 100
BTGE655 ACTING COURSE - 2 2 100
BTGE656 CREATIVITY AND INNOVATION - 2 2 100
BTGE657 PAINTING AND SKETCHING - 2 2 100
BTGE658 DESIGN THINKING - 2 2 100
EC631P VLSI DESIGN - 5 4 100
EC635 SERVICE LEARNING - 2 2 100
EC637 COMPUTER NETWORKS - 3 3 100
ECHO641CSP COMPUTING SYSTEM SECURITY - 75 3 100
ECHO642CS CRYTOGRAPHY AND SECURITY IMPLEMENTATION - 3 3 100
ELC632P INTRODUCTION TO MACHINE LEARNING USING PYTHON - 5 4 100
ELC644E07 BIG DATA ANALYTICS - 3 3 100
ELC645E02 AUTOMOTIVE ELECTRONICS - 3 3 100
ELC645E03 RTOS - 3 3 100
HS621 PROJECT MANAGEMENT AND FINANCE - 3 3 100
MIIMBA634 DATA ANALYSIS FOR MANAGERS - 3 4 100
7 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
CEOE731 SUSTAINABLE AND GREEN TECHNOLOGY Interdisciplinary Elective Courses 3 3 100
CEOE732 AIR POLLUTION AND CONTROL Interdisciplinary Elective Courses 3 03 100
CEOE733 GIS AND REMOTE SENSING TECHNIQUES AND APPLICATIONS Interdisciplinary Elective Courses 3 3 100
ELC731P INTERNET OF THINGS Core Courses 5 4 100
ELC732 DIGITAL IMAGE PROCESSING Core Courses 3 3 100
ELC733 PYTHON FOR MACHINE LEARNING Core Courses 3 3 100
ELC744E01 MOBILE APPLICATION DEVELOPMENT Discipline Specific Elective Courses 3 3 100
ELC781 INTERNSHIP Project 2 2 50
ELC782 PROJECT WORK PHASE I Project 12 6 100
ME761E03 BASIC AUTOMOBILE ENGINEERING Interdisciplinary Elective Courses 3 3 100
ME761E04 SMART MATRIALS AND APPLICATIONS Interdisciplinary Elective Courses 3 3 100
PH736OE1 NANO MATERIALS AND NANOTECHNOLOGY Interdisciplinary Elective Courses 3 3 100
8 Semester - 2020 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
ELC841E05 HIGH SPEED NETWORKS - 3 3 100
ELC881 PROJECT WORK PHASE II - 12 6 100

CY321 - CYBER SECURITY (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:0
Credits:0

Course Objectives/Course Description

 

This mandatory course is aimed at providing a comprehensive overview of the different facets of Cyber Security.  In addition, the course will detail into specifics of Cyber Security with Cyber Laws both in Global and Indian Legal environments

Course Outcome

CO1: Describe the basic security fundamentals and cyber laws and legalities

CO2: Describe various cyber security vulnerabilities and threats such as virus, worms, online attacks, Dos and others.

CO3: Explain the regulations and acts to prevent cyber-attacks such as Risk assessment and security policy management.

CO4: Explain various vulnerability assessment and penetration testing tools.

CO5: Explain various protection methods to safeguard from cyber-attacks using technologies like cryptography and Intrusion prevention systems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC333P - ELECTRONIC DEVICES AND CIRCUITS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to familiarize the student with the principle of operation, capabilities and limitation of various electron devices so that he or she will be able to use these devices effectively.

Course Outcome

CO1: Understand the biasing and small signal analysis of BJT. [L2]

CO2: Understand the biasing and small signal analysis of FET. [L2]

CO3: Construct the low frequency and high frequency BJT amplifiers. [L3]

CO4: Examine the feedback amplifiers for different applications [L4]

CO5: Perform analysis of the cascading stages of amplifiers and working principle of power devices. [L4]

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO341CSP - INTRODUCTION TO CRYPTOLOGY (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:50
Credits:4

Course Objectives/Course Description

 

Identify, formulate, research literature, and analyse complex engineering

problems reaching substantiated conclusions using first principles of mathematics, natural

sciences, and engineering sciences.

Course Outcome

CO-1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC331 - MATHEMATICS FOR INTELLIGENT SYSTEMS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course will lay down the basic concepts and techniques of linear algebra, differential equation, Analytical optimization and graph theory as applied to intelligent system design.

Course Outcome

CO1: Apply the understanding of working with data in matrix form for solving systems of linear algebraic equations, for finding the basic matrix decompositions with the general understanding of their applicability in intelligent systems.

CO2: Understand the notion of an abstract vector space and how coordinates, and matrices of linear transformations, arise from the underlying linearity structures imposed on the system

CO3: Apply multivariable and vector-valued functions and their derivatives, using gradient algorithms to determine local/global maxima and minima, saddle points.

CO4: Analyze the type of optimization problem and apply suitable algorithm to find the optimum value of the objective function

CO5: Understand the fundamental concepts in graph theory and Apply algorithms and theorems from graph theory on solving problems

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC332P - DATA STRUCTURES AND ALGORITHMS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is designed to make the students familiar with basic techniques of algorithm analysis, to understand concepts of searching and sorting techniques and to assess how the choice of data structures impacts the performance of a program. 

Course Outcome

CO1: Explain linear and non-linear data structures like stack, queue, linked list, tree and graph

CO2: Explain data structures operations including insertion, deletion, traversal, searching, and sorting

CO3: Understand the concept and operations of singly linked list, circular linked list and double linked list

CO4: Understand the functions of data warehousing including the components, architecture mapping, data extraction and data cleanup

CO5: Demonstrate online analytical processing (OLAP) as per the OLAP guidelines using OLAP tools

CO6: Implement programs to summarize the operations of data structures

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC334 - DIGITAL ELECTRONICS (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The aim of this course is to study the basics of digital circuits and learn methods and fundamental concepts used in the design of digital systems.

Course Outcome

CO1: To apply the principles of Boolean algebra and K-map to design combinational circuits

CO2: To analyze the operation of sequential circuits built with various flip-flops and design of counters, registers

CO3: To use state machine diagrams to design finite state machines using various types of flip-flops and combinational circuits with prescribed functionality.

CO4: To understand the concepts of data paths, control units, and micro-operations and building blocks of digital systems

CO5: To design combinational and sequential circuits using Verilog HDL modeling.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC335 - PROGRAMMING LANGUAGE PARADIGM (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims to explore modern programming languages and the techniques used for programming  in order to get idea on evaluation of programming languages and also helps students to analyze a given program from good programming practice perspective

Course Outcome

CO1: Write programs related to syntax and semantics

CO2: Compare programs between C, Ada, Perl and Small Talk

CO3: Write programs using scripting languages

CO4: Demonstrate event-driven and concurrent programming using prolog

CO5: Apply prolog for developing distributed systems

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

HS325 - PROFESSIONAL ETHICS (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

(a) To understand the moral values that ought to guide the Engineering profession.

(b) To resolve the moral issues in the profession.

 

Course Outcome

CO1: Outline professional ethics and human values by realizing the holistic attributes.{L1}{PO6,PO8}

CO2: Specify the Engineering Professional Ethics to identify problems related to society, safety, health & legal aspects. {L1}{PO6,PO8}

CO3: Explain the importance of being ethical while using technology in the digital space. {L2}{PO8,PO12}

CO4: Understand the ethical principles and behaviors laid down by IEEE. {L2}{PO6,PO8,PO9,PO12}

CO5: Explain the Importance of ethical conduct to safeguard environment and its resources with respect to electronics engineering. {L1}{PO7,PO8}

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BS451 - ENGINEERING BIOLOGY LABORATORY (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

Understanding and application of MATLAB and TINKERCAD for biological analysis which would results in better healthcare and any engineer, irrespective of the parent discipline (mechanical, electrical, civil, computer, electronics, etc.,) can use the disciplinary skills toward designing/improving biological systems. This course is designed to convey the essentials of human physiology.The course will introduce to the students the various fundamental concepts in MATLAB and TINKERCAD for numerical analysis and circuit design using arduino.

 

Course Outcome

CO1: Examine the various applications of bioengineering and using common tool boxes for analysing medical information.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC434 - COMPUTER ORGANIZATION AND PROCESSORS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To discuss the basic structure of a digital computer and to study in detail the organization of the Control unit, the Arithmetic and Logical unit, Memory unit and Intel Processors.

Course Outcome

CO1: Summarize the architectural features of a computer

CO2: Discover the basic functional units in ALU and perform various arithmetic operations of ALU

CO3: Demonstrate the dataflow and program execution process in Computer

CO4: Summarize various memory architectures and their data storage behaviour

CO5: Interpret unique architectural features of 8086 and Pentium processors.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC435 - COMPUTER NETWORKS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims to introduce the concepts, terminologies, and technologies used in modern data communication and computer networking. It also gives an introduction to the IEEE standards used for WLAN for physical ant MAC layer.

Course Outcome

CO1: Explain the network models and terminologies including topologies, transmission media and line coding for a data communication system.

CO2: Understand the data link layer services for error control using parity check, Hamming & cyclic codes and flow control techniques using stop & wait, stop & wait ARQ, Go-back n ARQ protocols.

CO3: Find the path for network layer packet delivery for a given topology using intradomain routing protocols

CO4: Understand the essential principles of transport layer including reliable data transfer, congestion control and quality of service

CO5: Describe the MAC layer functions including DCF,PCF access schemes of Wireless LAN from IEEE 802.11 draft standard

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO441CS - INTRODUCTION TO BLOCKCHAIN (2022 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:12
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The students should be able to understand a broad overview of the essential concepts of blockchain technology.

Course Objectives: 

  1. Understanding the concepts and the various terminologies in blockchain. 
  2. Familiarizing the various types of algorithms used in distributed computing.
  3. Understanding the workings of blockchain and the mining process.
  4.  Analyzing the various applications of blockchain technologies.
  5. Analyzing the security and privacy issues in the blockchain.

Course Outcome

1: Explain the concepts of Distributed systems, and the fundamentals and types of blockchain

2: Illustrate the various techniques in distributed computing in connection with the crypto primitives

3: Infer the operation of blockchain, the various architectures and structures used in it and essential components in Blockchain 1.0

4: Illustrate the various applications of blockchain technologies and components of Blockchain 2.0

5: Analyse the security issues in blockchain technology

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC431P - OBJECT ORIENTED PROGRAMMING (2022 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course presents the concept of object oriented programming and also introduces the concept in C++ . The students will be familiarized with concepts like data abstraction, polymorphism and inheritance.  

Course Outcome

CO1: Write Java programs using the object oriented concepts - classes, objects, constructors, data hiding, inheritance and polymorphism [L3]

CO2: Utilise datatypes, operators, control statements, built in packages & interfaces, Input/ Output Streams and Files in Java to develop programs[L3]

CO3: Illustrate how robust programs can be written in Java using exception handling mechanism[L2]

CO4: Write application programs in Java using multithreading and database connectivity [L3]

CO5: Write Graphical User Interface based application programs by utilising event handling features and Swing in Java [L3]

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC432 - ARTIFICIAL INTELLIGENCE (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims to introduce artificial intelligence by knowledge representation using semantic networks and rules, concepts of logic in artificial intelligence, concepts of planning and learning with an introduction of the expert systems.  

Course Outcome

CO1: Formulate an efficient problem space for a problem in artificial intelligence

CO2: Select a search algorithm for a problem and characterize its time and space complexities

CO3: Understand the concepts of knowledge representation using an appropriate technique

CO4: Apply AI techniques to solve problems of Game Playing, Expert Systems, Machine Learning and Natural Language Processing

CO5: Explain expert systems based on architecture, roles and knowledge acquisition.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC433 - SIGNALS AND SYSTEMS (2022 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course provides the mathematical representation of signals and systems using various transforms such as laplace, fourier and z-transforms. The course is designed to make the students familiar with the signals and their variations so that the fundamental of electronics engineering is well placed out. 

Course Outcome

CO1: Understand the relation among transfer function, convolution and the impulse response

CO2: Understand the relationship between the stability and causality of systems and the region of convergence of their Laplace transforms

CO3: Express periodic signals in terms of Fourier series and represent an arbitrary signal in terms of a fourier transform

CO4: Apply the Z- transform of continuous-time and discrete-time signals for stability analysis

CO5: Explain basics of signals and systems to find the response of LTI system using convolutio

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EVS421 - ENVIRONMENTAL SCIENCE (2022 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:0
Credits:0

Course Objectives/Course Description

 

To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale.  

Course Outcome

CO1: Explain the components and concept of various ecosystems in the environment (L2, PO7)

CO2: Explain the necessity of natural resources management (L2, PO1, PO2 and PO7)

CO3: Relate the causes and impacts of environmental pollution (L4, PO1, PO2, and PO3, PO4)

CO4: Relate climate change/global atmospheric changes and adaptation (L4,PO7)

CO5: Appraise the role of technology and institutional mechanisms for environmental protection (L5, PO8)

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CSOE561E04 - PYTHON FOR ENGINEERS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Specifically, the course has the following objectives. By the end of the course, students will be able to:

       Develop a working knowledge for how computers operate and how computer programs are executed.

       Evolve critical thinking and problem-solving skills using an algorithmic approach.

       Learn about the programmer’s role in the software development process.

            Translate real-world issues into computer-solvable problems.

Course Outcome

CO1: Demonstrate the basic methods of formatting, outputting data, kinds of data, operators and variables.

CO2: Interpret with the concepts of Boolean values, utilization of loops and operators.

CO3: Experiment with functions, passing arguments and data processing.

CO4: Illustrate the concept of modules, exceptions, strings and lists.

CO5: Apply the fundamentals of OOP and its implementation.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CSOE561E05 - BASICS OF MACHINE LEARNING (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course objectives: 

•          To understand the need for machine learning

•          To discover supervised and unsupervised learning paradigms of machine learning

•          To learn various machine learning techniques

•          To design suitable machine learning algorithms for solving problems

Course Outcome

CO 1: Describe various supervised learning methods

CO 2: Discuss various unsupervised learning methods.

CO 3: Explain the basics of neural networks and back propagation algorithm for problem solving.

CO 4: Describe the usage of genetic algorithms in problem solving.

CO 5: Use the concept of Bayesian theory to machine learning.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC532P - DIGITAL SIGNAL PROCESSING (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 
  • Analyze and Compute FFT of a discrete time signal.
  • Design the various FIR filter techniques.
  • Design the various IIR filter techniques.
  • Analyze the finite word length effects in signal processing.
  • Learn the fundamentals of digital signal processors.

Course Outcome

CO1: Calculate the FFT of a discrete time signal

CO2: Demonstrate various FIR filter techniques

CO3: Demonstrate various IIR filter techniques

CO4: Summarize finite word length effects in signal processing

CO5: Explain the fundamentals of Digital signal processor

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC533P - MICROCONTROLLER BASED SYSTEM DESIGN (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims atlearning the architecture programming and interfacing of  Microcontrollers (ARM and 8051)

Course Outcome

CO1: Summarize the architectural features of 8051 microcontroller

CO2: Apply the knowledge of ALP, Embedded C to solve embedded software concepts

CO3: Examine and demonstrate the working of I/O devices

CO4: Relate the advance features of ARM processors for efficient embedded system

CO5: Interpret unique architectural features of advance processors

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO541CSP - INTRODUCTION TO CRYPTOLOGY (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:50
Credits:4

Course Objectives/Course Description

 

Identify, formulate, research literature, and analyse complex engineering

problems reaching substantiated conclusions using first principles of mathematics, natural

sciences, and engineering sciences.

Course Outcome

CO-1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO542CS - INTRODUCTION TO BLOCKCHAIN (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

The students should be able to understand a broad overview of the essential concepts of blockchain technology. Students should be able to learn about different types of blockchain algorithms.

 

Course Outcome

CO1: Explain the basic notion of distributed systems.

CO2: Explain Distributed Computing and Crypto primitives.

CO3: Illustrate the essential components of a blockchain 1.0 platform.

CO4: Illustrate the essential components of a blockchain 2.0 platform.

C05: Analyze security issues in blockchain technology.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EEOE531 - HYBRID ELECTRIC VEHICLES (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course introduces the fundamental concepts, principles, analysis and design of hybrid and electric vehicles.

Course Outcome

·         To understand concepts of hybrid and electric drive configuration, types of electric machines that can be used, suitable energy storage devices etc

·         To recognize the application of various drive components and selection of proper component for particular applications.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EEOE532 - ROBOTICS AND AUTOMATION (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:3

Course Objectives/Course Description

 

·         To understand concepts in kinematics and dynamics of robotic system.

·         To introduce control strategies of simple robotic system.

·         To study the applications of computer based control to integrated automation systems.

Course Outcome

CO 1: To understand the basic concepts in robotics.

CO 2: To describe basic elements in a robotic system

CO 3: To understand the kinematics, dynamics and programming with respect to a robotic system.

CO 4: To understand the control system design for a robotic system

CO 5: To discuss some of the robotic applications

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EEOE533 - SMART GRIDS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Introducing the concepts of various components of Smart Grid, and their impacts on the energy industry, including renewable integration, PHEV penetration, demand side management, and greenhouse gas (GHG) emissions reductions. Energy policy modelling and analysis, such as policies on GHG emissions reductions and incentives to green energy investments, will be integrated into the course as well.

Course Outcome

CO1: Understand the difference between Smart Grid (SG) vs. Conventional power system (CPS).

CO2: Explore different types of technologies associated with SG and its operational management at consumer level.

CO3: Analyze different types of technologies associated with SG and its operational management at substation level.

CO4: Understand different information and communication technologies suitable for SG environment.

CO5: Understand different ways for handing power quality issues in SG environment at different stages.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC531P - DATABASE MANAGEMENT SYSTEMS (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course is provides the fundamentals of data models and to conceptualize and depict a  system using ER diagram. To make a study of SQL and relational database design. To understand the internal storage structures using different file and indexing techniques which will help in physical DB design. To know the fundamental concepts of transaction processing- concurrency control techniques and recovery procedure. To have an introductory knowledge about the emerging trends in the area of distributed DB- OO DB- Data mining and Data Warehousing and XML. To implement the design of the tables in DBMS. To write queries to get optimized outputs. To store, retrieve and view the contents. To generate report based on customized need. 

Course Outcome

CO1: Summarize the fundamental concepts of databases and Entity-Relationship (E-R) model [L2]{PO1, PO2}

CO2: Apply E-R Model and Normalization principles to create relational databases for the given problems. {L3}{PO1,PO2,PO3}

CO3: Compare and contrast different file organization concepts for data storage in Relational databases {L4}{PO1,PO2,PO4}

CO4: Apply the transaction management principles on relational databases{L3}{PO1,PO2,PO3}

CO5: Understand the current trends such as object oriented databases, distributed data storage in database technology{L2}{PO1, PO2}

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC541E04 - OPERATING SYSTEMS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:50
Credits:3

Course Objectives/Course Description

 

The Objectives of this course is to have an overview of different types of operating systems. They also include an understanding of the components of an operating system; To develop knowledge of process management and have a thorough knowledge of storage management; To know the concepts of I/O and file systems.

Course Outcome

CO1: Explain structure, services and functionalities of operating systems.

CO2: Compute system performance with respect to Job Scheduling and process synchronization concepts

CO3: Analyze deadlocks and memory management strategies to improve fault tolerance

CO4: Illustrate virtual memory management technique to reduce access time of data from memory

CO5: Implement File System to distribute file structure across the memory

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

IC521 - CONSTITUTION OF INDIA (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:0

Course Objectives/Course Description

 

This course is aimed to create awareness on the rights and responsibilities as a citizen of India and to understand the administrative structure, legal system in India.

Course Outcome

CO1: Explain the fundamental rights granted to citizens of India as per the Constitution

CO2: Describe the Directive Principles of State Policy along with its key aspects

CO3: Explain the legislative powers of Union Government and its elected legislature

CO4: Understand the Indian judiciary with respect to civil and criminal aspects

CO5: Explain the working of state government and its electoral powers

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

NCCOE1 - NCC1 (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

·       This Course is offered for cadets of NCC who have successfully completed their B- Certificate.

·       This Course is offered for the NCC cadets in the Open Elective course offered by the department during the 5th Semester.

·        This course can be selected if and only if the cadet Successfully Completes the ‘B’- Certificate exam that is conducted centrally oraganized by the NCC Directorate.

Course Outcome

CO1: .

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE631 - CORPORATE SOCIAL RESPONSIBILITY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course will familiarize the students with the concept of corporate social responsibility. The evolution of CSR has far reaching consequences on the development sector in India. The collaboration of companies and NGOs with the community has initiated a new paradigm of change in the country. The students will have an overview of the theories and the frameworks developed in the area of CSR. The paper will discuss a few prominent case studies of CSR.

 Course Objectives 

 

  • To understand the concept of CSR and the theoretical underpinnings.

  • To understand the stakeholder approaches.

  • To provide an experiential, integrative, substantive, and high quality experience surrounding issues of Corporate Social Responsibility

  • To provide participating students with a truly unique curriculum experience with field experience.

Course Outcome

CO1: The students will be able to demonstrate their understanding in general on CSR.

CO2: To exhibit their skill in executing the responsibilities and implementing different approaches in CSR.

CO3: The students will be able to critically evaluate the CSR programs of a corporate

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE632 - DIGITAL MEDIA (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

This course provides students the insight on search engine optimization, social media and digital marketing techniques that helps them understand how each of the social media platforms works and how to strategize for any type of objectives from clients. Students will discover the potential of digital media space and will have hands on experience with different digital platforms.

Course Outcome

CO1: Understand search engine optimization (SEO) techniques and principles.

CO2: Gain expertise in managing and marketing on various social media platforms.

CO3: Apply digital marketing techniques to achieve specific business objectives.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE633 - FUNCTIONAL ENGLISH (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Students will be able to develop a clear understanding of the principles and characteristics of communication in professional settings. They would have developed skills for grammatical accuracy, precise vocabulary, clear style and appropriate tone for formal, professional communication

Course Outcome

1: Upon completing the syllabus students will be able to show a good grasp of the fundamentals of English language. Students will be able to deliver the topic orally and in writing with greater independence and greater linguistic correctness

2: Will be able to distinguish and discuss differences in English language structure between speech and writing as well as distinguish and discuss stylistic differences (formal and informal English)

3: Will be able to actively and independently participate in group discussions, can make successful attempt to persuade in decision making, and can withstand the pressures in interview.

4: Will be equipped to network in academic and work settings. Would be able to confidently appear in front of a larger crowd and give presentations

5: Will acquire skills in CV writing, cover letter writing and content generation

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE634 - GERMAN (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

 

Description:  Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs. Can introduce him/herself and others as well as ask others about themselves

Objectives

      Impart the language and through that insight into the country and the culture.

     Sensitize the students to the environment of a foreign country. To enable the students adapt to a new environment and culture.

Course Outcome

CO1: Can understand and use familiar, everyday expressions and very simple sentences, which relate to the satisfying of concrete needs.

CO2: Can introduce oneself and others as well as ask others about themselves ? e.g. where they live, whom they know and what they own ? and can respond to questions of this nature.

C03: Can handle everyday situations like shopping, eating out, visiting places, travelling, holidaying, requesting for information, making an appointment, cancelling an appointment, filling up a form etc.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE635 - INTELLECTUAL PROPERTY RIGHTS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Innovation is crucial to us and plays significant role in the growth of economy. Government policies and legal framework offer protection to new inventions and creative works. This course intends to equip students to understand the policies and procedures they may have to rely on for the purposed of protecting their inventions or creative works during the course of their study or employment.

The course consists of five units. Theories behind the protection of intellectual property and its role in promoting innovations for the progress of the society are the focus of first unit. Second unit deals with protection of inventions through patent regime in India touching upon the process of obtaining international patents. The central feature of getting patent is to establish new invention through evidence. This is done through maintaining experimental/lab records and other necessary documents. The process of creating and maintain documentary evidence is dealt in Unit 3. Computers have become an integral part of human life. Till 1980, computer related inventions were not given much importance and lying low but today they have assumed huge significance in our economy. Computer related inventions and their protection which requires special treatment under legal regimes are discussed in Unit 4. The last module deals with innovations in e- commerce environment.

 

Course Outcome

CO1: Understand the meaning and importance of intellectual property rights as well as different categories of intellectual property.

CO2: Understand the meaning of patentable invention, the procedure for filing patent applications, rights of the patentee and the different rights of patentee.

CO3: Maintain research records in the patent process, the process of patent document searching and how to interact with patent agent or attorney.

CO4: Understand the issues related to patenting of software, digital rights management and database management system.

CO5: Understand the intellectual property issues in e- commerce, evidentiary value of electronic signature certificates, protection of websites and the protection of semiconductor integrated circuits.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE636 - INTRODUCTION TO AVIATION (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

A student successfully completing this course will be able to:

Explain basic terms and concepts in air transportation, including commercial, military, and general aviation; air traffic control. Identify on the parts of an aircraft, classify the aircraft types and Construct models of an Aircraft. Understand the types of Aero engines and analyse the impact of meteorology in Aviation.

Course Outcome

CO1: Interpret the fundamental principles of flight based on theorems and parts of the Aircraft

CO2: Summarize the types of aircrafts and illustrate modelling of an Aircraft

CO3: Identify the types of Aero engines and Make use of Meteorology

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE637 - PROFESSIONAL PSYCHOLOGY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

1.     To understand various developmental changes that take place in human life and how people's thoughts, feelings, and behaviors are influenced by the social context consisting of actual, imagined, or implied presence of others.

2.     To develop interpersonal awareness and skills, especially in the context of diversity and   difference

3.      To develop the psychosocial skills required in the professional world

 

4.     To introduce the students to the existing theory and research in the past and contemporary social settings comprising viz, the intra-individual, inter-individual, and social factors that influence individual and group behavior.

Course Outcome

CO1: Understand the frameworks for the psychology of human development.

CO2: Show greater awareness of their thinking styles, relational styles and behavioral styles of functioning

CO3: Develop interpersonal awareness and skills, especially in the context of diversity and difference

CO4: Develop preparatory skills toward effective work-life balance

CO5: Develop an overall understanding of the psychosocial skills required in professional world

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE651 - DATA ANALYTICS THROUGH SPSS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description
Data Analysis using SPSS is specially designed to provide the requisite knowledge and skills in Data Analytics. The course covers concepts of Basics about Statistics, Data handling, Data Visualization, Statistical analysis, etc. This course will build a base for advance data analysis skills.

Course objectives

After the completion of the course, you should be able to:


a. Understand basic concepts of statistics and computer software SPSS
b. Select appropriate Statistical test for particular type of data
c. Recognize and interpret the output from statistical analysis

Course Outcome

CO1: Students will understand the concepts involved for analyzing Business data

CO2: Students will be able to understand how to use software like SPSS to analyse data

CO3: Students will be able to appreciate the use of Data Analytics for business decision making

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE652 - DIGITAL MARKETING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

 

 

Course Description:

 

Developing a successful digital marketing strategy and implementation is both an art and science. It involves in-depth knowledge of dynamics of new media (Social Media, Mobile) and utilizing the right resources and marketing skills to design and launch successful customer engagement campaigns. Digital Marketing course has been designed to help students to understand both functional and management roles required to plan and execute effective Digital Marketing campaigns. The course also helps students gain an insight how to plan and implement Digital Marketing initiatives

 

Course Objectives:

 

·         To apply the basics of digital marketing in the contemporary business scenario

 

·         To utilize google ads for promotional activities

 

·         To contrast various social media marketing platforms and activities 

 

·         To analyse the search engine optimization and search engine marketing strategies

To explain analytics pertaining to digital marketing initiatives

 

Course Outcome

CO1: Plan a digital marketing campaign as per client requirements

CO2: Apply google ads in digital campaigns

CO3: Analyse the appropriateness of social media marketing strategies with respect to campaign objectives

CO4: Examine the search engine optimization efforts

CO5: Appraise the digital marketing analytics related to the project

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE653 - DIGITAL WRITING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course will develop the knowledge and skills required to write content for digital media. Students will learn how to craft writing for different areas of the media by focusing on genres such as profiles, informative pieces, articles and content pieces. Students will work on pitching and marketing ideas, discuss topics such as timelines, word counts and deadlines. The course will also examine the principles of reporting and the legal and ethical issues associated with content writing

 

The course intends to provide students with an in-depth understanding of the nature of digital content. The course will acquaint students with the techniques of writing simple but polished digital content. The subject will develop creativity in writing and imaginative approaches to digital content writing. The paper will help students understand the mechanics of content writing

Course Outcome

CO1: Students will learn how to write digital content for websites, blogs, and general social networking sites

CO2: Students will learn the importance of using hyperlinks to information sources when writing an article

CO3: Students will be able to differentiate between original and plagiarized content and develop mechanisms to avoid plagiarism

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE654 - PHOTOGRAPHY (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course introduces the art of photographic image making and printing. You will learn to see and appreciate light in a new way, learn to see and design shapes in the frame, and you will learn how to make fine prints. In this course, you will learn how to properly expose the camera, how to develop good images, and to make beautiful exhibition prints. This is not merely a technical course however the most important thing you can bring away from this course is a new sense of seeing. To be able to have a finer appreciation of light in its myriad manifestations, to discover meaning in images rather than words, or most importantly, how to make images, important and powerful in their own right, rather than merely “take pictures” is the main goal of this course.

Course Outcome

CO1: Ability to demonstrate understanding and clarity in content. Ability to read and interpretate photographs Ability to demonstrate knowledge of visual design and art.

CO2: Ability to demonstrate technical documentation of knowledge attained, process involved. Ability to read and interpretate photographs Ability to demonstrate knowledge of visual design and art.

CO3: Ability to demonstrate Quality and Comprehensiveness. Ability to read and interpretate photographs Ability to demonstrate understanding of material, structure and details and graphical understanding.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE655 - ACTING COURSE (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

In this course the students are introduced different aspects of acting such as creating a character,

analyzing a script, working on voice and developing body language. At the end of the course the learners

will perform a monologue.

The course aims at the study and practice of Classical Acting. The development of individual imagination,

insight, skills and disciplines in the presentation of drama to audience.

Course Outcome

• To gain an understanding of acting principles and techniques

• Develop skills in the analysis and interpretation of dramatic texts for performance

• Explore basic voice and movement skills to create dramatic effect on stage

• Understand the basic production processes

• To perform a monologue

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE656 - CREATIVITY AND INNOVATION (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

To equip students with skill and aptitude for creativity and innovation through

  1. Analyzing Problems:

To stimulate curiosity in students to identify the areas of gaps and opportunities and solutions that can be provided

  1. Creating Ideas:

To stimulate creativity in students to come up with ideas for the areas of gaps and opportunities

  1. To understand the creative process: Smart storming 

  2. Engineering Solutions: To understand Proof of Concept, Minimum Viable Proposition, and the Rapid Iteration Process

Course Outcome

CO-1: Develop an aptitude for creative thinking and problem solving in the areas that drive their interest.

CO-2: Understand the benefits of team work and collaborative thinking

CO-3: Understand the three keys aspects of the creative process viz. ACES

CO-4: Develop projects to understand the various principles and elements of creativity and innovation

CO-5: Apply the concepts of IPR to verify the projects which may be patentable, design and copyright protected

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE657 - PAINTING AND SKETCHING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

The course will develop the skills required to represent elements of nature and surrounding objects. Students will learn how to use the appropriate medium for representing their thought process. The course will examine the representation skills through exercises on sketching and rendering.

Course Outcome

CO3: Students will learn how to represent their ideas and thought processes diagrammatically through sketching and rendering.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

BTGE658 - DESIGN THINKING (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description:

Throughout the course students will work on three different challenges; one focused on product design, one focused on service design and one focused on systems or business design. By starting with a very tangible challenge around product design, students will be able to hone their skills in the process before moving into more complex challenges around business and systems level design.

 

The course will be teamwork-oriented, but students will also complete readings and independent activities that support the group work and ensure individual depth of knowledge.

 

Course objectives:  

Expose students to the design process as a tool for innovation.

Develop students’ professional skills in client management and communication.

Demonstrate the value of developing a local network and assist students in making lasting connections with the business community.

Students develop a portfolio of work to set them apart in the job market.

Provide an authentic opportunity for students to develop teamwork and leadership skills.

Course Outcome

CO1: Design Process 1. Students develop a strong understanding of the Design Process and how it can be applied in a variety of business settings 2. Students learn to research and understand the unique needs of a company around specific challenges 3. Students learn to build empathy for target audiences from different ?cultures? 4. Students learn to develop and test innovative ideas through a rapid iteration cycle 5. Students learn how to create physical prototypes / a visual representation of an idea 6. Students develop the willingness to take a risk and the ability to deal with failure

CO2: Professionalism 1. Students develop professional interpersonal and presentation skills 2. Students develop professional communication skills such as interviewing and crafting professional emails 3. Students learn to take ownership of the quality of their work and final products 4. Students understand their duty to maintain ethical standards in product and strategy design 5. Students understand the value of and have tools to develop a strong network

CO3: Leadership and teamwork 1. Students develop self awareness of personal leadership style and how to effectively work as a member of a team 2. Students collaborate on a variety of projects 3. Students develop communication skills necessary to facilitate high performance team formation and maintenance (e.g., leveraging the skills and abilities of all team members, valuing cross-disciplinary/cultural contributions, engaging in difficult conversations and resolving conflict)

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC631P - VLSI DESIGN (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims atintroducing the technology, design concepts required in the design of Very Large Scale Integrated Circuits.

Course Outcome

CO1: To analyze the CMOS characteristics

CO2: To define strategy for designing the CMOS circuits

CO3: To describe CMOS process technology

CO4: To understand the features of FPGA and ASIC technology

CO5: To familiarize the system verilog as a hardware description and hardware verification language

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC635 - SERVICE LEARNING (2021 Batch)

Total Teaching Hours for Semester:7
No of Lecture Hours/Week:2
Max Marks:100
Credits:2

Course Objectives/Course Description

 

To enhance students' learning by enabling them to practice skills and test classroom knowledge through related service experiences in the local community

Course Outcome

CO1: Develop a habit of critical reflection for life-long learning;

CO2: Strengthen their ethic of social and civic responsibility;

CO3: Understand problems in a more complex way, including underlying issues;

CO4: Become more curious and motivated to imagine alternative solutions;

CO5: Learn how to work more collaboratively with others on real problems

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

EC637 - COMPUTER NETWORKS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To introduce the concepts, terminologies, and technologies used in modern data communication and computer networking.

Course Outcome

CO1: Explain the OSI reference model and TCP/IP model for a data communication system.

CO2: Describe the data link layer services including error control and flow control techniques and distinguish between the data link layers of IEEE 802.3 and IEEE 802.4.

CO3: Use IP addressing and apply routing algorithms for finding the path for network layer packet delivery for a given topology.

CO4: Describe the essential principles of transport layer including reliable data transfer, congestion control and quality of service.

CO5: Interpret the MAC layer functions of Wireless LAN from IEEE 802.11 draft standard.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO641CSP - COMPUTING SYSTEM SECURITY (2021 Batch)

Total Teaching Hours for Semester:5
No of Lecture Hours/Week:75
Max Marks:100
Credits:3

Course Objectives/Course Description

 

To understand the scope and importance of computing systems security towards developing a conscious community for computer security issues, both at global and local scale.  

Course Outcome

CO1: Discover software bugs that pose cyber security threats and to explain how to fix the bugs to mitigate such threats [L3]

CO2: Discover cyber attack scenarios to web browsers and web servers and to explain how to mitigate such threats[L3]

CO3: Explain mobile software bugs posing cyber security threats, explain and recreate exploits, and to explain mitigation techniques.[L1]

CO4: Summerize the various concepts of Access Control and isolation[L2]

CO5: Relate the issues in critical infrastructure and SCADA Security[L4]

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ECHO642CS - CRYTOGRAPHY AND SECURITY IMPLEMENTATION (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The aim of this course is to familiarize  the students with the undersatnding of the essential requirements of a security architecture and the commonly occuring security attacks. Also the course differentiates between block ciphers and stream ciphers using examples. The concepts of Public and private key cryptography is also imparted . The widely employed security protocols implemented at the socket and transport layer are also introdcued

Course Outcome

1: Explain the basic requirements of a Security Architecture and the common security attacks

2: Understand the difference between Block ciphers and Stream ciphers and get to know their history

3: Describe about Private key cryptography and the mechanisms available to implement it.

4: Describe about Public key cryptography and the widely used techniques to realize it.

5: Understand about security protocols implemented at the socket and transport layer. Also about the firewall design principles

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC632P - INTRODUCTION TO MACHINE LEARNING USING PYTHON (2021 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course provides an introduction to basic skill set required in this fast expanding field of machine learning. Students will learn relevant basics in machine learning such as regression, clustering and classification. In addition, this course introduces advanced Python programming as a standard and common language for machine learning. This course is proposed to meet the growing business needs of individuals skilled in artificial intelligence, data analytics, statistical programming and other software skills. The proposed course will combine theory and practice to enable the student to gain the necessary knowledge to compete in the ever changing work environment

Course Outcome

CO1: Develop an appreciation for what is involved in learning models from data.

CO2: Understand a wide variety of learning algorithms

CO3: Understand how to evaluate models generated from data

CO4: Apply the algorithms to a real-world problem, optimize the models learned and report on the expected accuracy that can be achieved by applying the models

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC644E07 - BIG DATA ANALYTICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course provides an overview about the fundamentals of big data analytics, analyze the big data using intelligent techniques, understand the various search methods and visualization technique and also to use various techniques for mining data stream

Course Outcome

CO1: Explain the tools and processes involved in big data analysis

CO2: Describe the architecture and concepts related to mining of data streams

CO3: Demonstrate basic operations on big data using HADOOP

CO4: Explain the frameworks of big data using Pig and Hive tools

CO5: Apply regression models and visualizations for predictive data analysis on given applications

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC645E02 - AUTOMOTIVE ELECTRONICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The aim of this course is to enable student to understand the complete dynamics of automotive electronics, design and implementation of the electronics that contributes to the safety of the automobiles, add-on features, and comforts. 

Course Outcome

CO1: Implement various control requirements in the automotive system

CO2: Comprehend dashboard electronics and engine system electronics

CO3: Identify various physical parameters that are to be sensed and monitored for maintaining the stability of the vehicle under dynamic conditions

CO4: Understand and implement the controls and actuator system pertaining to the comfort and safety of commuters

CO5: Design sensor network for mechanical fault diagnostics in an automotive vehicle

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC645E03 - RTOS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims at exposing the students to the fundamentals of interaction of OS with a computer and study on programming logic of modeling Process based on range of OS features, make them understand the fundamental concepts of how process are created and controlled with OS and User computation.

Course Outcome

CO1: Operating System structures and types

CO2: Explain scheduling, disciplining of various processes execution.

CO3: Apply RTOS support modeling to real time problems.

CO4: Understand commercial RTOS Suite features to work on real time processes design

CO5: Develop an application using the RTOS fundamentals.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

HS621 - PROJECT MANAGEMENT AND FINANCE (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course develops the competencies and skills for planning and controlling projects and understanding interpersonal issues that drive successful project outcomes. Focusing on the introduction of new products and processes, it examines the project management life cycle, defining project parameters, matrix management challenges, effective project management tools and techniques, and the role of a Project Manager. This course guides students through the fundamental project management tools and behavioral skills necessary to successfully launch, lead, and realize benefits from projects in profit and nonprofit organizations.

Course Outcome

CO1: Develop competencies in project planning and control: Students will acquire the necessary skills to effectively plan and control projects. They will learn about the project management life cycle, define project parameters, and understand the challenges of matrix management. By the end of the course, students will be able to utilize project management tools and techniques to ensure successful project outcomes

CO2: Understand interpersonal issues for successful project outcomes: This course emphasizes the importance of interpersonal skills in driving successful project outcomes. Students will learn how to navigate and manage interpersonal dynamics within project teams. They will gain insights into effective communication, conflict resolution, and team collaboration, enabling them to overcome challenges and promote positive relationships within project environments.

CO3: Acquire essential skills for project leadership and benefit realization: Students will be guided through the fundamental tools and behavioral skills necessary for project leadership. They will learn how to launch and lead projects in both profit and nonprofit organizations. Additionally, students will understand the significance of realizing benefits from projects and how to align project goals with organizational objectives. By the end of the course, students will be equipped to effectively manage projects and achieve desired outcomes.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

MIIMBA634 - DATA ANALYSIS FOR MANAGERS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:3
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Objectives:

This course attempts to enable the students to conceptualize business problems in statistical terms and to enhance their understanding and application of fact and evidence-based decision-making process.

Course Outcome

CO1: Identify suitable data visualization technique for the given data set.

CO2: Apply an appropriate probability distribution technique for the given set of data.

CO3: Design sampling frame based on the context of decision-making.

CO4: Analyse statistical data to support fact-based decision making.

CO5: Develop models to understand the relationship between variables.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CEOE731 - SUSTAINABLE AND GREEN TECHNOLOGY (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course teaches the students, the Engineering and Design processes in alternative and renewable energy systems.

Course Outcome

CO1: Demonstrate the use of the concepts underlying the use sustainability

CO2: Calculate energy balance with a focus on batteries and fuel cells.

CO3: Synthesize the concepts of green transport systems.

CO4: Describe the concepts used to discuss various sustainability concepts such as VSM.

CO5: Perform the Life Cycle Analysis calculation (LCA) utilized in sustainability.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CEOE732 - AIR POLLUTION AND CONTROL (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:03

Course Objectives/Course Description

 

Objective of this is to know the sources, characteristics and effects of air and noise pollution and the methods of controlling the same. The student is expected to know about source inventory and control mechanism like.

  1. The atmosphere and its components
  2. How air pollutants are categorized
  3. The sources of air pollution
  4. The difference between criteria pollutants and hazardous air pollutants
  5. How pollution affects health and welfare

Course Outcome

CO1: Identify the major sources and sinks of air pollutants.

CO2: Understand the key chemical transformations of air pollution.

CO3: Relate air pollution regulation and its scientific basis.

CO4: Describe engineering solutions to air pollution problems.

CO5: Study the burning environmental issues

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

CEOE733 - GIS AND REMOTE SENSING TECHNIQUES AND APPLICATIONS (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The objective of this  course  is to provide knowledge and importance of different geospatial tchniques, tools  and applications.

Course Outcome

CO1: Apply the Photogrammetric concepts to determine the ground coordinates

CO2: Analyze the remote sensing images visually using Spectral Reflectance characteristics

CO3: Create thematic map using GIS Concepts

CO4: Establish Relationship between Geographic coordinates and time.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC731P - INTERNET OF THINGS (2020 Batch)

Total Teaching Hours for Semester:75
No of Lecture Hours/Week:5
Max Marks:100
Credits:4

Course Objectives/Course Description

 

This course aims to introduce the concepts and protocols related to
Internet of Things, get an idea where the application areas are available for the Internet of
Things to be applied, to understand the middleware for Internet of Things; To understand the
concepts of Web of Things, the concepts of Cloud of Things with emphasis on Mobile cloud
computing and where the market connected to the network lies.

Course Outcome

CO-1: Explain the fundamental building blocks of an IoT environment from a logical and physical perspective.

CO-2: Experiment with Arduino and Raspberry Pi to choose the appropriate hardware for different IoT projects

CO-3: Summarize IoT protocols in Application and Network layers by outlining their advantages and disadvantages

CO-4: Develop IoT solutions using Arduino and Raspberry Pi to solve real life problems

CO-5: Survey successful IoT products and solutions to analyze their architecture and technologies

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC732 - DIGITAL IMAGE PROCESSING (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The course will cover techniques and tools for digital image processing, and finally also introduce image analysis techniques in the form of image segmentation and pattern classification

Course Outcome

CO1: Demonstrate various image enhancement techniques in spatial domain

CO2: Explain fundamentals of image restoration and segmentation

CO3: Understand fundamentals of morphological image processing

CO4: Understand the fundamentals of low-level image processing applied for image enhancement, restoration and feature extraction processes

CO5: Apply the concept of motion estimation for image and video processing applications

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC733 - PYTHON FOR MACHINE LEARNING (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The primary am of the course is to provide an introduction on Python programming and its importance in the field of machine learning. This course helps in developing
the programming skill of the students and make them industry ready.

Course Outcome

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC744E01 - MOBILE APPLICATION DEVELOPMENT (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course provides the students an understanding of the concepts corresponding to the Mobile applications, know the various architectures for different mobile systems, Understand how to work with various mobile application development frameworks and understand the capabilities and limitations of mobile devices

Course Outcome

CO1: Explain the requirements for mobile application development

CO2: Understand the principles involved in mobile application development.

CO3: Develop applications in Windows 7

CO4: Design and develop applications in Android

CO5: Design and develop applications in iOS.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC781 - INTERNSHIP (2020 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:2
Max Marks:50
Credits:2

Course Objectives/Course Description

 

This course aims to provide an opportunity to seek, identify and further develop an appropriate level of professionalism 

Course Outcome

CO1: Develop Essential Background Knowledge.

CO2: Develop Interpersonal Skills (Soft Skills)

CO3: Build a Network of Contacts.

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC782 - PROJECT WORK PHASE I (2020 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:12
Max Marks:100
Credits:6

Course Objectives/Course Description

 

Apply theoretical concepts for real-time engineering problem solving

 

Course Outcome

CO1: Develop and design of prototype and product

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ME761E03 - BASIC AUTOMOBILE ENGINEERING (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

The objective of this course is to impact knowledge to students in various systems of Automobile Engineering and to learn the fundamental principles, construction and auxiliary systems of automotive engines.

Course Outcome

Upon completion of this course, the students will be able to

CO1:  To describe chassis, body and engine components of automobile.

CO2:  To demonstrate knowledge of transmission, cooling and lubrication systems.

CO3:  To demonstrate knowledge of engine injection and ignition systems.

CO4:  To demonstrate knowledge of steering, brakes and suspension systems.

CO5:  To describe environmental impact of emissions from vehicles and methods for controlling it.

 

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ME761E04 - SMART MATRIALS AND APPLICATIONS (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This interdisciplinary course not only gives an overview of the smart materials and its applications, but also gives an in-depth understanding of the issues involved. It begins by answering the important question: why miniaturize? This is followed by a quick summary of a variety of sensors, actuators, and systems. It then presents a comprehensive description of micro fabrication. This is followed by a detailed discussion of mechanics of solids as it pertains to micro and smart systems. While this part may be viewed as strength of materials and design, an effort is made to relate this to micro devices and discuss such topics as residual stress and stress gradients, lumped modelling using energy methods, anticlastic curvature, etc.

Course Outcome

CO1:  explain the overview of Smart materials. {L1, L2}, {PO1, PO2, PO9}

CO2: Explaining  the principles of sensing and actuations systems. {L1, L2}, {PO1, PO2, PO9}

CO3: Evaluating techniques on control design and optics systems using smart materials {L1, L2}, {PO1, PO2, PO9}

CO4: Compute response of an electro mechanical smart system using finite element method. {L1, L2}, {PO1, PO2, PO9}

CO5: Incorporate basic knowledge of micro systems and its applications. {L1, L2}, {PO1, PO2, PO9}

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

PH736OE1 - NANO MATERIALS AND NANOTECHNOLOGY (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

Course Description:

This course deals with overall aspects of Nano materials and Nanotechnology, different types of nano materials, synthesis, properties and their applications in different aspects of technology frontiers like space, electrical & electronics, industries, medicals, automotive etc.  This course will also serve as a prerequisite for post graduate and research.

 

Course Objective:

·         To distinguish between the concept of bulk and nanomaterials.

·         To understand the science of different synthesis methods and characterization of nanomaterials.

·         To analyze physical and chemical properties of different types of nanomaterials.

·         To understand various types of application of nanotechnology in engineering and sciences.

Course Outcome

CO1: Students will be able to explain the basics of Nanomaterials {L2} {PO1, PO2}

CO2: Students will be able to outline the science of different synthesis methods and characterization of nanomaterials. {L2} { PO1, PO2}

CO3: Students will be able to analyze physical and chemical properties of different types of nanomaterials {L4} { PO1, PO2, PO3}

CO4: Students will be able to explain the basic concepts of Carbon nano tubes{L2} {PO1, PO2}

CO5: Students will be able to illustrate the applications of nanotechnology in engineering and sciences. {L3} { PO1, PO2, PO3, PO4} close

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC841E05 - HIGH SPEED NETWORKS (2020 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:3
Max Marks:100
Credits:3

Course Objectives/Course Description

 

This course aims to highlight the features of different technologies involved in High Speed Networking and their performance with respect to congestion and traffic management. The course also introduces the Quality of Service aspect required in networking

Course Outcome

CO1: Understand the architecture of high speed networks including frame relay, Ethernet and wireless LAN

CO2: Describe the queuing models used in traffic management and congestion control

CO3: Explain techniques involved to support real-time traffic and congestion control in ATM networks

CO4: Differentiate the integrated and differentiated services models

CO5: Distinguish levels of quality of service (QoS) to networking applications

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern

ELC881 - PROJECT WORK PHASE II (2020 Batch)

Total Teaching Hours for Semester:90
No of Lecture Hours/Week:12
Max Marks:100
Credits:6

Course Objectives/Course Description

 

Apply theoretical concepts for real-time engineering problem solving

 

Course Outcome

CO1: Develop and design of prototype and product

Text Books And Reference Books:
Essential Reading / Recommended Reading
Evaluation Pattern