For all other subjects of the semester you can visit Information Tech 6th Sem syllabus & notices. For all other Elective Information Tech 6th Sem BTEUP Syllabus 2019-2020 subjects do refer to Elective Information Tech 6th Sem BTEUP Syllabus 2019-2020. The detail syllabus for elective information tech 6th sem bteup syllabus 2019-2020 is as follows.

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Wish you a great luck ahead.

For all other bteup syllabus 6th sem information tech 2019-2020 you can visit BTEUP Syllabus 6th Sem Information Tech 2019-2020 Subjects. For all other elective subjects do refer to Electives. The detail syllabus for digital image processing is as follows.

Rationale:

Digital Image processing becomes an emerging and growing field in various technological areas and currently used in various Industries such process industry, medical industry etc. This course will help in understanding the fundamentals of image processing. Student will also understand how to apply various algorithms on images for better image understanding. The course also covers the design aspects and realization of image processing. It largely covers the theory and algorithms related to image acquisition and formation, enhancement, segmentation and representation.

Learning Outcomes:

By the end of this course, students will be able to:

• Explain how digital images are represented and manipulated in a computer, including reading and writing from storage, and displaying.
• Write a program which implements fundamental image processing algorithms.
• Be conversant with the mathematical description of image processing techniques and know how to go from the equations to code.
• An ability to apply knowledge of computing and mathematics appropriate to the discipline.
• An ability to analyze a problem and identify the computing requirements appropriate for its solution; an ability to design, implement and evaluate a computer-based system, process, component or program to meet desired needs.
• An ability to apply mathematical foundations, algorithmic principles and computer science theory to the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.

1. Introduction and Digital Image Fundamentals : (12 Lectures)

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

2. Image enhancement in Spatial domain: (12 Lectures)

Basic gray level Transformations Histogram Processing Techniques Basics of Spatial Filtering, Smoothing (Low Pass) Spatial Filters Sharpening(High Pass) Spatial Filters.

3. Image enhancement in Spatial domain: (12 Lectures)

Basic gray level Transformations Histogram Processing Techniques Basics of Spatial Filtering, Smoothing (Low Pass) Spatial Filters Sharpening(High Pass) Spatial Filters.

4. Filtering in the Frequency Domain: (12 Lectures)

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5. Image Restoration and Reconstruction: (08 Lectures)

• Noise Models
• Noise Reduction
• Inverse Filtering
• MMSE (Wiener) Filtering

6. Color Image Processing: (10 Lectures)

• Color Fundamentals
• Color Models
• Pseudo color image processing
• Basics of Full-Color Image Processing.
• Color Transformations.
• Smoothing and Sharpening.
• Color Segmentation.

7. Image Segmentation: (08 Lectures)

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8. Morphological Image Processing: (10 Lectures)

• Erosion and Dilation
• Opening and Closing
• Basic Morphological Algorithms:
• Hole filling
• Connected components
• Thinning
• Skeletons

List of Experiments:

1. Implement the Mirroring (Inversion) spatial image enhancement functions on a bitmap image.
2. Implement the Rotation (Clockwise) spatial image enhancement functions on a bitmap image.
3. Implement the Enlargement (Double Size)spatial image enhancement functions on a bitmap image.
4. Implement
1. Low Pass Filter
2. High Pass Filter for image enhancement on an image.
5. Implement
1. Arithmetic Mean Filter
2. Geometric Mean Filter for image enhancement on an image.
6. Implement Smoothing and Sharpening function on an eight bit color image.
7. Implement
1. Boundary Extraction Algorithm
2. Graham’s Scan Algorithm on an image.
8. Implement
1. Edge Detection
2. Line Detection on an image.
9. Display an image and its corresponding histogram
10. Perform shrinking, zooming and cropping functions on an image
11. Perform the experiment for histogram equalization.
12. Perform blurring and de-blurring functions on an image.
13. Removal of salt and pepper noise from a distorted image.
14. Implement a function in MATLAB for image morphology that analyze the form and shape detail of image structures. Implement a function in MATLAB for Image Restoration.

Reference Books:

1. Gonzalez & Woods, —Digital Image Processing^, 3rd ed., Pearson education, 2008
2. Jain Anil K., —Fundamentals Digital Image Processing^, Prentice Hall India, 2010
3. Pratt W.K, —Digital Image Processing^, 3rd ed., John Wiley & Sons, 2007 e-books/e-tools/relevant software to be used as recommended by AICTE/UPBTE/NITTTR, Chandigarh.

Instructional Strategy:

Since this subject is practical oriented, the teacher should demonstrate the capabilities of MATLAB programming to students while doing practical exercises.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce
3. Software installationand viva-voce

Reference Books:

1. http://swayam.gov.in
2. http://spoken-tutorial.org

For detail syllabus of all other subjects of BE Information Tech, 2019-2020 scheme do visit Information Tech 6 syllabus for 2019-2020 Scheme.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

For all other bteup syllabus 6th sem information tech 2019-2020 you can visit BTEUP Syllabus 6th Sem Information Tech 2019-2020 Subjects. For all other elective subjects do refer to Electives. The detail syllabus for data science and machine learning is as follows.

Rationale:

The diploma holders in Computer Science and Engineering needs to understand about Data Science and Machine Learning and how to implement Machine Learning Algorithms. They should be able to solve real time problems using data science and Machine learning techniques. Hence this subject is introduced in the curriculum.

Learning Outcomes:

After undergoing the subject, the students will be able to:

• Understand the basics of Data Science
• Understand and develop Machine Learning Algorithms.
• Implement Dimensionality Reduction Techniques

Detailed Content:

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

1. Introductionof data Science and Machine Learning (12 Periods)

Fundamentalsof Artificial Intelligence, need and applications of Data Science, Data Mining, data preparation,Machine Learning , Types and Applications of Machine learning

2. Data Preprocessing, Analysis and Visualization (10 Periods)

Data Pre-processing: Pre-processing Techniques- Mean Remova l, Scaling, Normalization, Binarization, One Hot Encoding, Label encoding, Data Analyses: Loading and summarizing the dataset, Data Visualization:Univariate Plots, Multivariate Plots, Training Data, Test Data,Performance Measures

3. Statistical Inference (12 Periods)

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4. Exploratory Data Analysis and the Data Science Process (10 Periods)

Basic tools (plots, graphs and summary statistics) of EDA, Philosophy of EDA, The Data Science Process

5. Machine Learning Algorithms (12 Periods)

Introduction to Supervised Learning Algorithms -Decision Tree,Linear Regression, k-Nearest Neighbours (k-NN), SVM and Introduction to Unsupervised Learning Algorithms – K-means Clustering,MeanShiftAlgorithm,Dimensionality Reduction Techniques, Introduction to Neural Networks,

6. Mining Social-Network Graphs (10 Periods)

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7. Data Science and Ethical Issues (16 Periods)

Discussions on privacy, security, ethics,A look back at Data Science, Next-generation data scientists

List of Experiments:

1. WAP to implement the Decision Tree Algorithm
2. WAP to implement the Linear Regression
3. WAP to implement the k-Nearest Neighbors (k-NN)
4. WAP to implement the SVM Algorithm
5. WAP to implement the K-means Clustering
6. WAP to implement various Distance Metrics
7. WAP to implement Dimensionality Reduction Techniques

Instructional Strategy:

The subject is conceptual and practical based. Students should be given clear idea about the basic concepts of Data Science and Machine Learning. In practical session student should be asked to explain the algorithm and then write program for algorithm and run on computer. It is required that students should maintain records (files with printouts).

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce
3. Software installation, operation, development and viva-voce

Text Books:

1. e-books/e-tools/relevant software to be used as recommended by AICTE/UPBTE/NITTTR.

Reference Books:

1. http://www.spoken-tutorial.org
2. http://swayam.gov.in

For detail syllabus of all other subjects of BE Information Tech, 2019-2020 scheme do visit Information Tech 6 syllabus for 2019-2020 Scheme.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

For all other bteup syllabus 6th sem information tech 2019-2020 you can visit BTEUP Syllabus 6th Sem Information Tech 2019-2020 Subjects. For all other elective subjects do refer to Electives. The detail syllabus for big data is as follows.

Rationale:

Business data subject provides an introduction to Big data and analytics,which include the use of data, statistical and quantitative analysis, exploratory andpredictive models, to inform decisions and actions related to data.

Learning Outcomes:

After undergoing this course, the students will be able to:

• To explore the fundamental concepts of big data analytics
• To develop in-depth knowledge and understanding of the big data analyticdomain.
• To learn to analyse the big data using intelligent techniques.
• To understand the various search methods and visualization techniques.
• To learn to use various techniques for mining data stream.
• To understand the applications using Map Reduce Concepts

1. Introduction to Big Data & Hadoop: (18 Periods)

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2. Hadoop Architecture & Commands: (18 Periods)

• Hadoop 2.x Cluster Architecture
• Federation and High Availability Architecture
• Typical Production Hadoop Cluster
• Hadoop Cluster Modes
• Common Hadoop Shell Commands
• Hadoop 2.x Configuration Files
• Single Node Cluster & Multi-Node Cluster set up
• Basic Hadoop Administration

3. MapReduce: (18 Periods)

• Traditional way vs MapReduce way
• Why MapReduce
• YARN(Yet Another Resource Negotiator) Components
• YARN Architecture
• YARN MapReduce Application Execution Flow
• YARN Workflow
• Anatomy of MapReduce Program
• Input Splits, Relation between Input Splits and HDFS Blocks
• MapReduce: Combiner &Partitioner

4. Features of MapReduce (15 Periods)

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5. Project Work: (15 Periods)

List of Experiments:

1. Write a very simple Hadoop program that counts the number of occurrences of each word in a text file.
2. Suppose we use an input file that contains the following text:

Don’t judge a book by its cover
Don’t put off until tomorrow what you can do today
Hope for the best, prepare for the worst

3. Write a Hadoop program to take a text file as input now convert all characters in upper case and save into another text file.
4. Write a Hadoop program to take a text file as input now search a word in the file and count number of occurrence of that word in the file.
5. Write a Hadoop program to take a text file as input now search a word in the file now replace that word with another word.

Projects:

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Instructional Strategy:

The subject is totally practical based. Students should be given clear idea about the basic concepts of programming related to Big Data.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce
3. Software installation, operation, development and viva-voce

Text Books:

1. Big Data Analytics with R and Hadoop by Vignesh Prajapati
2. Data Science for Business: What You Need to Know about Data Miningby om Fawcett
3. Hadoop for Dummies by Dirk Deroos
4. The Human Face of Big Data by Rick Smolan and Jennifer Erwitt
5. Big Data: A Revolution That Will Transform How We Live, Work, and Think by Kenneth Cukier and Viktor Mayer-Schonberger
6. Hadoop – The Definitive Guide by Tom White
7. e-books/e-tools/relevant software to be used as recommended by AICTE/UPBTE/NITTTR, Chandigarh.

Reference Books:

1. http://swavam. gov.in
2. http://spoken-tutorial.org

For detail syllabus of all other subjects of BE Information Tech, 2019-2020 scheme do visit Information Tech 6 syllabus for 2019-2020 Scheme.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

For all other bteup syllabus 6th sem information tech 2019-2020 you can visit BTEUP Syllabus 6th Sem Information Tech 2019-2020 Subjects. For all other elective subjects do refer to Electives. The detail syllabus for advanced java is as follows.

Rationale:

The diploma holders in Computer Science and Engineering need to understand how server side programming can be done using Java/J2EE Technology They should be able to connect the middle layer to backend and frontend by server side programming Hence this subject is introduced in the curriculum.

Learning Outcomes:

After undergoing the subject, the students will be able to:

• Understand Server Side Architecture of Web Applications
• Connect to Database and do the CRUD Database operations using JDBC
• Develop Web Application by using Servlets and JSP
• Manage Session in the web application
• Understand Ajax Concept and uses

1. Introduction Server Side Platform (10 Periods)

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2. Database Programming using JDBC (14 Periods)

Introduction to JDBC, JDBC Drivers & Architecture, JDBC API
CURD operation Using JDBCAPI: Database Connection, JDBC Statement, Prepared Statements (Advantages and Disadvantages), Using Result Sets

3. Java Servlets (17 Periods)

Servlet introduction, working of servlet, advantage of servlet, servlet terminology, Servlet Container, Life cycle of a servlet, introduction to servlet API, Servlet interface, Generics Servlet class, Http servlet class, RequestDispatcher (include() and forward).

4. Handling Sessions in Servlets (14 Periods)

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5. JSP (17 Periods)

Introduction to JSP – Architecture, JSP- Life cycle, JSP-syntax, JSP-Directive, JSP-Actions, JSP- Implicit objects, JSP – Client request, JSP – Server response, JSP integration with database, JSP Session

6. AJAX (12 Periods)

AJAX Introduction, XMLHttp, Request object, server response, AJAX events, Validation, Interaction with API

List of Experiments:

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Instructional Strategy:

Since this subject is practice oriented, the teacher should demonstrate the capabilities of server-side programming to students while doing practical exercises. The students should be made familiar with web server and dynamic web site development tools and techniques along with three tier architecture concept.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce Software installation, operation, development and viva-voce

Text Books:

1. Head First Servlets And JSP , Bert Bates , O’ Reilly
2. Java Server Programming Java EE 7 (J2EE 7.), Black Book , Kogent Learning Solutions Inc.
3. Jdbc, Servlets, And Jsp Black Book, Santosh Kumar KDT Editorial Services , Wiley
4. J2EE: The Complete Reference, Jim Keogh , McGraw Hill Education
5. e-books/e-tools/relevant software to be used as recommended by AICTE/UPBTE/NITTTR, Chandigarh.

Reference Books:

1. http://swayam.gov.in
2. http://spoken-tutorial.orgs

For detail syllabus of all other subjects of BE Information Tech, 2019-2020 scheme do visit Information Tech 6 syllabus for 2019-2020 Scheme.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

For all other subjects of the semester you can visit BTEUP Syllabus 3rd Sem Information Tech 2019-2020. The bteup syllabus 3rd sem information tech 2019-2020 is as follows.

Dont forget to download iStudy for latest syllabus and results, class timetable and more. Incase of questions dont hesitate to leave a comment or leave a feedback in iStudy app for faster response.

Wish you a great luck ahead.

For all other bteup syllabus 3rd sem information tech 2019-2020 you can visit BTEUP Syllabus 3rd Sem Information Tech 2019-2020 Subjects. The detail syllabus for computer architecture and hardware maintenance is as follows.

Rationale:

The subject provides the students with the knowledge of detailed organization of currently available personal computers in order to understand their functioning .The students will also get familiar with Architecture of multi processor systems.

Learning Outcomes:

After undergoing the subject, students will be able to:

• use CPU, register and stack.
• compare micro programmed and hardwired control.
• compare RISC and CISC architecture.
• understand memory hierarchy and memory types.
• explain the function of BIOS.
• illustrate multi processor systems.
• set-up, diagnose problems troubleshoot & Maintained the computer components.

1. Hardware Organisation of computer system (10 periods)

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2. Memory organisation (10 periods)

1. Memory Hierarchy
2. RAM and ROM chips, Memory address map, Memory connections to CPU.
3. Auxillarymemory: Magnetic disks and magnetic tapes.
4. Associative memory
5. Cache memory
6. Virtual memory
7. Memory management hardware
8. Read and Write operation

3. Arithmetic Operations (08 periods)

1. Introduction, Addition, Subtraction, Multiplication and Division algorithm.

4. I/O Organization (10 periods)

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5. 8085 Microprocessor: Introduction, Architecture, Pin diagram, Comparison with 8086. (6 periods)

6. Architecture of multi processor systems (12 periods)

1. Forms of parallel processing
2. Parallel processing and pipelines, basic characteristics of multiprocessor
3. General purpose multiprocessors
4. Interconnection networks: time shared common bus, multi port memory, cross bar switch, multi stage switching networks and hyper cube structures.

List of Experiments:

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

Instructional Strategy:

Since the subject is theoretical one, the practical aspects should be taught along with the theory instruction. The students should be given quiz tests and asked to give seminars on small topics. There is sufficient time in the subject and the students can be taken to laboratory for demonstration.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Viva-voce

Text Books:

1. Computer Architecture and Organisation by Moris Mano
2. Computer Architecture by J.P.Hayes
3. Structured Computer Organisation by Tanenbaum Andrew S, PHI
4. e-books/e-tools/relevant software to be used as recommended by AICTE/NITTTR, Chandigarh.

Reference Books:

http://swayam.gov.in

For detail syllabus of all other subjects of BE Information Tech, effective from 2019-2020 do visit Information Tech 3rd Sem BTEUP syllabus for 2019-2020.

Dont forget to download iStudy Syllabus App for latest syllabus and results, class timetable and more.

For all other bteup syllabus 3rd sem information tech 2019-2020 you can visit BTEUP Syllabus 3rd Sem Information Tech 2019-2020 Subjects. The detail syllabus for data structure using c is as follows.

Rationale:

Data structures are the techniques of designing the basic algorithms for real-life projects. Understanding of data structures is essential and this facilitates the understanding of the language. The practice and assimilation of data structure techniques is essential for programming. The knowledge of C’ language and data structures will be reinforced by practical exercises during the course of study. The course will help students to develop the capability of selecting a particular data structure.

Learning Outcomes:

After undergoing the subject, the students will be able to:

• Identify the problem and formulate an algorithm for it.
• Identify the best data structures to solve the problem
• Store data, process data using appropriate data structures
• Sort the data in ascending or descending order.
• Implement trees and various traversing techniques.
• Implement various searching and sorting algorithms and to compare them for checking efficiency.

1. Fundamental Notations (08 Periods)

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2. Arrays (08 Periods)

1. Concept of Arrays
2. Storage representation of multi-dimensional arrays.
3. Operations on arrays with Algorithms (searching, traversing, inserting, deleting)

3. Linked Lists (12 Periods)

1. Introduction to linked list
2. Representation of linked lists in Memory
3. Operations on linked list (Insertion, deletion and traversals)
4. Application of linked lists
5. Doubly linked lists
6. Operations on doubly linked lists (Insertion, deletion and traversals)

4. Stacks, Queues and Recursion (12 Periods)

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5. Trees (12 Periods)

1. Concept of Trees
2. Representation of Binary tree in memory
3. Traversing Binary Trees (Pre order, Post order and In order)
4. Searching, inserting and deleting binary search trees
5. Introduction to Heap
6. Application of Trees

6. Sorting and Searching (12 Periods)

1. Introduction to sorting and searching
2. Search algorithm (Linear and Binary)
3. Sorting algorithms (Bubble Sort, Insertion Sort, Quick Sort, Selection Sort, Merge Sort, Heap Sort

7. Graph (06 Periods)

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

List of Experiments:

Write programmes in C to implement

1. Addition of two matrices using functions
2. Multiplication of two matrices
3. Push and pop operation in stack
4. Inserting and deleting elements in queue
5. Inserting and deleting elements in circular queue
6. Insertion and deletion of elements in linked list
7. Insertion and deletion of elements in doubly linked list
8. Factorial of a given number with recursion and without recursion
9. Fibonacii series with recursion and without recursion
10. Program for pre-order, post order and in order traversal of binary tree.
11. The selection sort technique
12. The bubble sort technique
13. The quick sort technique
14. The merge sort technique
15. The binary search procedures to search an element in a given list
16. The linear search procedures to search an element in a given list

Instructional Strategy:

This subject clears all fundamentals of programming techniques. Teachers should stress on explaining all the techniques and algorithms in detail in theory sessions. The students should be asked to convert their ideas about a problem into an algorithm in theory class and implement it in practical class. This willhelp the students to have clear concepts of programming.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce
3. Software installation, operation, development and viva-voce

Text Books:

1. Data Structure using C by Robert Kruse; Prentice Hall of India
2. Data Structure through C by Yashwant Kanekar; BPB Publications
3. Data structures – Schaum’s Outline Series by Lipschutz; McGraw Hill Education Pvt Ltd , New Delhi
4. Data Structure using C by ISRD Group ; Tata McGraw Hills Education Pvt Ltd , New Delhi
5. Expert Data Structures with C by R.B. Patel ; Khanna Publishers, New Delhi.
6. Data Structures and Algorithm Using C by RS Salaria; Khanna Book Publishing Co. Ltd. New Delhi
7. Data Structure through C in depth by SK Srivastava, Deepali Srivastava; BPB Publications
8. Data Structure through C Language by Sameeran Chattopadhyay, MatanginiChottopadhyay; BPB Publications
9. Data Structure through C Language by DOEACC; BPB Publications
10. Data Structure using C Lab Workbook by Shukla; BPB Publications
11. E-books/e-tools/relevant software to be used as recommended by AICTE/NITTTR, Chandigarh.

Reference Books:

http://swayam.gov.in

For detail syllabus of all other subjects of BE Information Tech, effective from 2019-2020 do visit Information Tech 3rd Sem BTEUP syllabus for 2019-2020.

Dont forget to download iStudy Syllabus App for latest syllabus and results, class timetable and more.

For all other bteup syllabus 3rd sem information tech 2019-2020 you can visit BTEUP Syllabus 3rd Sem Information Tech 2019-2020 Subjects. The detail syllabus for data communication and computer networks is as follows.

Rationale:

The future of computer technology is in Data Communication and Computer Networks. Global connectivity can be achieved through computer networks. A diploma holder in Computer Science and Engineering should therefore understand the function of networks and get exposure to different existing and upcoming communication technologies. Knowledge about hardware and software requirements of networks is essential.

Learning Outcomes:

After undergoing the subject, the students will be able to:

• know about signal types, transmission media
• know about different communication methodologies
• setup computer networks
• setup basic wireless network
• diagnose & solve network problems
• diagnose & solve network problems remotely
• provide security to networks
• manage & handle wan
• prevent external network attacks
• identify network troubleshooting methods.

1. Introduction to Data Communication (07 Periods)

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2. Communication Methodologies (10 Periods)

1. Need for modulation in communication system
2. Concepts AM, FM, PM, FSK, TSK, PCM (No Mathematical model)
3. Concept of bandwidth and channel capacity of different communication systems such as radio, microwave etc.
4. Multiplexing techniques (TDM, FDM, WDM,CDMA)

3. Networks Basics (14 Periods)

1. Concept of network
2. Models of network computing
3. Networking models
4. Peer-to -peer Network
5. Client-Server Network
6. LAN, MAN and WAN
7. Network Services
8. Switching Techniques

4. Networking Models (05 Periods)

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5. TCP/IP Addressing (10 Periods)

1. Concept of physical and logical addressing
2. IPV4 addresses – Address space, Notations
3. Classful Addressing- Different IP address classes, Classes & Blocks, Net-id & Host-Id, Masks, Address depletion
4. Classless Addressing – Address blocks, Masks
5. Special IP Addresses
6. Subnetting and Supernetting
7. Loop back concept
8. Network Address Translation
9. IPV4 Header
10. IPV6 Header
11. Comparison between IPV4 and IPV6

6. Network Architecture (04 Periods)

Ethernet specification and standardization: 10 Mbps (Traditional Ethernet), 10 Mbps (Fast Ethernet) and 1000 Mbps (Gigabit Ethernet)

7. Network Connectivity (05 Periods)

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

8. Network Administration (10 Periods)

1. Network Security Principles, Cryptography, using secure protocols
2. Trouble Shooting Tools: PING,IPCONFIG, IFCONFIG, NETSTAT, TRACEROOT, Wireshark, Nmap, TCPDUMP, ROUTEPRINT
3. DHCP Server
4. Workgroup/Domain Networking

9. Introduction to Wireless Networks. (05 Periods)

1. Introduction to wireless LAN IEEE 801.1, WiMax and Li-Fi
2. Wireless Security
3. Introduction to bluetooth – architecture, application
4. Comparison between bluetooth and Wifi

List of Experiments:

1. Recognize the physical topology and cabling (coaxial, OFC, UTP, STP) of a network.
2. Recognition and use of various types of connectors RJ-45, RJ-11,BNC and SCST
3. Making of cross cable and straight cable
4. Install and configure a network interface card in a workstation.
5. Identify the IP address of a workstation and the class of the address and configure the IP Address on a workstation
6. Managing user accounts in windows and LINUX
7. Sharing of Hardware resources in the network.
8. Use of Netstat and its options.
9. Connectivity troubleshooting using PING, IPCONFIG, IFCONFIG
10. Installation of Network Operating System(NOS)
11. Visit to nearby industry for latest networking techniques
12. Create a network of at least 6 computers.

Required Software

Windows Server/Linux Server

Required Tools and Supplies

Crimping tool, Cable tester,

1. RJ 45 connectors, RJ-11, BNC, SCST
2. Coaxial Cable, UTP, STP, OFC cable
3. Screw Driver Kit
4. Switch/Hub
5. Manageable Switch

Instructional Strategy:

Since the facilities are not available in the polytechnic, students need exposure to various security systems and software available in some organisations, universities and engineering colleges. For this, visits may be organized for students. The teachers should also be exposed in this area. Some practicals can be conducted in the laboratory.

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work exercises and viva-voce
3. Software installation, operation, development and viva-voce

Text Books:

1. Computer Networks by Tanenbaum, Prentice Hall of India, New Delhi
2. Data Communications and Networking by Forouzan, (Edition 2nd and 4th ), Tata McGraw Hill Education Pvt Ltd , New Delhi
3. Data and Computer Communication by William Stallings, Pearson Education, New Delhi
4. Local Area Networks by Peter Hudson
5. Network+ Lab manual,- BPB Publications -by Tami Evanson
6. Networking Essentials – BPB Publications New Delhi
7. Computer Network and Communications By V.K. Jain and Narija Bajaj, Cyber Tech Publications, New Delhi.
8. Cloud Computing Bible by Berrie Sarinby
9. E-books/e-tools/relevant software to be used as recommended by AICTE/NITTTR, Chandigarh.

Reference Books:

http://swayam.gov.in

For detail syllabus of all other subjects of BE Information Tech, effective from 2019-2020 do visit Information Tech 3rd Sem BTEUP syllabus for 2019-2020.

Dont forget to download iStudy Syllabus App for latest syllabus and results, class timetable and more.

For all other bteup syllabus 3rd sem information tech 2019-2020 you can visit BTEUP Syllabus 3rd Sem Information Tech 2019-2020 Subjects. The detail syllabus for internet and web technology is as follows.

Rationale:

The diploma holders in Computer Science and Engineering needs to understand about Internet, Web Space and how to develop static website. They should be able to develop basic static websites by using different front-end Technologies . Hence this subject.

Learning Outcomes:

After undergoing the subject, the students will be able to:

• understand working of Internet/ Websites, Client Server Model and Internet Tools.
• understand and develop HTML Web pages.
• provide logics on the web pages by using JavaScript
• use Bootstrapto develop responsive website
• control the Look and feel of web pages by using CSS
• use JQuery for developing the Web Pages
• develop Static webpage/web portal

5. Web Development Introduction (06 Periods)

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

6. HTML (10 Periods)

Basics: HTML Document, Basic Structure of HTML, Syntax, HTML Tags and Attributes, Types of HTML Tags, Rules of nesting, Basic Tags (HTML Tag. Head Tag, Title Tag, Body Tags).

Page Formatting: Adding a new Paragraph, Adding a line break, Inserting a blank space , changing page background , Divand Span tags

Text Formatting: Html Headings, Formatting elements ( Bold text , Important text , Italic text , Emphasized text , Marked text, Small text, Deleted text, Inserted text, Subscript text, Superscript text), Comments, Horizontal Lines

Creating Lists: Ordered List, Unordered Lists, Definition Lists

Others: Images, Text Links, Image Links, opening a page in New Window or Tab, Linking to an area of same page, Introduction to Table Tags, Advantages and limitations of tables, Frames &IFrame, HTML Forms , XHTML

7. Cascading Style Sheets (08 Periods)

Introduction, Benefits of CSS, CSS Syntax, CSS Implementation (inline, internal and external), CSS Selectors (ID Selectors, Class Selectors, Grouping Selectors, Universal Selectors, CSS Pseudo-classes), CSS properties (background-color, background-image, border-style, height, width, color, text-align, font-family, font-style, font-size, fontweight), Box Model in CSS(margin, border, padding)

8. Java Scripts (08 Periods)

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

9. JQUERY (09 Periods)

10. Bootstrap (09 Periods)

Color Management, Buttons, Table, drop-down, navigation-bar, images, pagination, jumbotron, alerts, forms, progress bar, grid, utilities & filters

11. XML & JSON (06 Periods)

For complete syllabus and results, class timetable and more pls download iStudy Syllabus App. It’s a lightweight, easy to use, no images, no pdfs platform to make students life easier.

List of Experiments:

1. Install, configure and start using developer tools /Code Editor/Browser
2. Creating Web Pages using different HTML tags
3. Control the look and feel of Web Page Styling by using CSS.
4. Write JavaScript functions and control the different companonets of Web page by predeifned javascript objects
5. Validation of Form fields using Java Script
6. Use jQuery library to apply different features on web pages.
7. Use Bootstrap library and icons to develop a responsive websites

Instructional Strategy:

Since this subject is practice oriented, the teacher should demonstrate the capabilities of websites/WebPages to students while doing practical exercises. The students should be made familiar with developing web pages by code editor/browsers, working on internet. The student should be made capable of developing static websites by using HTML, JavaScript, CSS and jQuery

Means of Assessment:

1. Assignments and quiz/class tests, mid-term and end-term written tests
2. Actual laboratory and practical work, exercises and viva-voce
3. Software installation, operation, development and viva-voce

Text Books:

1. Head First HTML and CSS: A Learner’s Guide to Creating Standards-Based Web Pages , O Reilly Publications by Elisabeth Robson Eric Freeman
2. Head First JavaScriptProgramming, O Reilly Publications by Eric FREEMAN
3. Head First jQuery, O Reilly by Ryan Benedetti, Ronan Cranley
4. Web Technologies, Black Book ,Kogent Learning Solutions Inc
5. Developing Web Applications, 2ed ,WileyPublications, M.T.Savaliya
6. Mastering Bootstrap 4 ,by Benjamin Jakobus and Jason Marah,Packt Publishing
7. e-books/e-tools/relevant software to be used as recommended by AICTE/UPBTE/NITTTR, Chandigarh.

Reference Books:

1. http://swayam.gov.in
2. http://spoken-tutorial.org

For detail syllabus of all other subjects of BE Information Tech, effective from 2019-2020 do visit Information Tech 3rd Sem BTEUP syllabus for 2019-2020.

Dont forget to download iStudy Syllabus App for latest syllabus and results, class timetable and more.