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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 |
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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 |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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Course Outcome |
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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 |
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(a) To understand the moral values that ought to guide the Engineering profession. (b) To resolve the moral issues in the profession.
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Course Outcome |
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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 |
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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.
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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The students should be able to understand a broad overview of the essential concepts of blockchain technology. Course Objectives:
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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To understand the scope and importance of environmental science towards developing a conscious community for environmental issues, both at global and local scale. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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Course Outcome |
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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 |
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Course Outcome |
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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 |
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This course aims atlearning the architecture programming and interfacing of Microcontrollers (ARM and 8051) |
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Course Outcome |
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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 |
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Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
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Course Outcome |
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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 |
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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.
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Course Outcome |
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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 |
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This course introduces the fundamental concepts, principles, analysis and design of hybrid and electric vehicles. |
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Course Outcome |
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· 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 |
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· 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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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} |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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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
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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 |
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· 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. |
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Course Outcome |
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CO1: . |
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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 |
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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
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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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.
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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 |
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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 |
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Course Outcome |
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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 |
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Essential Reading / Recommended Reading | |
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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 |
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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. |
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Course Outcome |
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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. |
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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 |
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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.
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Course Outcome |
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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. |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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Course Description Course objectives After the completion of the course, you should be able to:
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Course Outcome |
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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 |
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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 |
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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
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Course Outcome |
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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 |
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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 |
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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 |
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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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. |
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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 |
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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. |
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Course Outcome |
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• 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 |
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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 |
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To equip students with skill and aptitude for creativity and innovation through
To stimulate curiosity in students to identify the areas of gaps and opportunities and solutions that can be provided
To stimulate creativity in students to come up with ideas for the areas of gaps and opportunities
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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CO3: Students will learn how to represent their ideas and thought processes diagrammatically through sketching and rendering. |
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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 |
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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: l Expose students to the design process as a tool for innovation. l Develop students’ professional skills in client management and communication. l Demonstrate the value of developing a local network and assist students in making lasting connections with the business community. l Students develop a portfolio of work to set them apart in the job market. l Provide an authentic opportunity for students to develop teamwork and leadership skills. |
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Course Outcome |
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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) |
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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 |
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This course aims atintroducing the technology, design concepts required in the design of Very Large Scale Integrated Circuits. |
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Course Outcome |
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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 |
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To enhance students' learning by enabling them to practice skills and test classroom knowledge through related service experiences in the local community |
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Course Outcome |
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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 |
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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 |
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To introduce the concepts, terminologies, and technologies used in modern data communication and computer networking. |
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Course Outcome |
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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. |
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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 |
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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. |
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Course Outcome |
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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 |
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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 |
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Course Outcome |
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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 |
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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 |
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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 |
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Course Outcome |
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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 |
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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 |
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Course Outcome |
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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 |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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 |
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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. |
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Course Outcome |
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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. |
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MIIMBA634 - DATA ANALYSIS FOR MANAGERS (2021 Batch) | |
Total Teaching Hours for Semester:60 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:4 |
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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. |
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Course Outcome |
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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. |
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CEOE731 - SUSTAINABLE AND GREEN TECHNOLOGY (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
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This course teaches the students, the Engineering and Design processes in alternative and renewable energy systems. |
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Course Outcome |
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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. |
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CEOE732 - AIR POLLUTION AND CONTROL (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:03 |
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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.
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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 |
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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 |
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The objective of this course is to provide knowledge and importance of different geospatial tchniques, tools and applications. |
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Course Outcome |
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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. |
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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 |
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This course aims to introduce the concepts and protocols related to |
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Course Outcome |
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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
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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 |
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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. |
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Course Outcome |
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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 |
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ELC733 - PYTHON FOR MACHINE LEARNING (2020 Batch) | |
Total Teaching Hours for Semester:45 |
No of Lecture Hours/Week:3 |
Max Marks:100 |
Credits:3 |
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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 |
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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 |
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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 |
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Course Outcome |
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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. |
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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 |
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This course aims to provide an opportunity to seek, identify and further develop an appropriate level of professionalism |
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Course Outcome |
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CO1: Develop Essential Background Knowledge. CO2: Develop Interpersonal Skills (Soft Skills) CO3: Build a Network of Contacts. |
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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 |
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Apply theoretical concepts for real-time engineering problem solving
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Course Outcome |
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CO1: Develop and design of prototype and product |
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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 |
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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. |
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Course Outcome |
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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. |
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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 |
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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. |
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Course Outcome |
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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} |
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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 |
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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. |
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Course Outcome |
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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}
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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 |
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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 |
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Course Outcome |
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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 |
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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 |
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Apply theoretical concepts for real-time engineering problem solving
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Course Outcome |
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CO1: Develop and design of prototype and product |
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