DBATU Syllabus B.E IT (Information Technology)

DBATU IT 1st Sem Syllabus 2017-18

DBATU IT 2nd Sem Syllabus 2017-18

DBATU IT 3rd Sem Syllabus 2018-19

DBATU IT 4th Sem Syllabus 2018-19

DBATU IT 5th Sem Syllabus 2019-20

DBATU IT 6th Sem Syllabus 2019-20

DBATU IT 7th Sem Syllabus 2020-21

DBATU IT 8th Sem Syllabus 2020-21

For all other details and updates about Education in Maharashtra related Academic Schedule, updated syllabus, MHTCET cutoff, time table will be updated here time to time.

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App It is a lightweight, easy to use, no images, and no pdfs platform to make students’ lives easier.
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Wish you good luck!!!

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Scheme 2019-20 Onwards. The detail syllabus for machine learning is as follows.

Machine Learning Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Course Outcomes:

After learning the course the student will be able:

1. To demonstrate knowledge of the machine learning literature
2. To describe how and why machine learning methods work
3. To demonstrate results of parameter selection
4. To explain relative strengths and weaknesses of different machine learning methods
5. To select and apply appropriate machine learning methods to a selected problem
6. To implement machine learning algorithms on real datasets
7. To suggest ways to improve results

Unit i

Introduction: Well-posed learning problems, Designing a Learning System, Perspectives and Issues in Machine learning Concept Learning and General-to-specific Ordering: A concept learning task, Concept learning as Search, Finding a maximally specific hypothesis, Version Spaces and Candidate elimination algorithm, Inductive Bias

Unit ii

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Unit iii

Bayesian Learning: Bayes theorem and concept learning, Maximum likelihood and least square error hypotheses, Minimum description length principle, Bayes optimal classifier, Gibbs algorithm, Naive Bayes classifier Computational Learning Theory: Probably learning an approximately correct hypothesis, PAC learnability, The VC dimension, the mistake bound model for learning

Unit iv

Linear Models for Regression: Linear basis function models, The Bias-Variance decomposition, Bayesian Linear Regression, Bayesian Model comparison Kernel Methods: Constructing kernels, Radial basis function networks, Gaussian Processes

Unit v

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Unit vi

Reinforcement Learning: The learning task, Q learning, Non-deterministic rewards and action, Temporal difference learning, Generalizing from examples

Text Books:

1. Mitchell, Tom. M., Machine Learning, McGraw-Hill Education, 1st edition, May 2013.
2. Segaran, Toby. Programming Collective Intelligence- Building Smart Web
3. Applications, OReilly Media, August 2007.

Reference Book:

1. Miroslav, Kubat. An Introduction to Machine Learning, Springer Publishing.
2. Bishop, C. M., Pattern Recognition and Machine Learning, Springer Publishing.
3. Conway, Drew and White, John Myles, Machine Learning for Hackers, O’Reilly Media, February 2012.

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

For detailed syllabus of all other subjects of Information Technology (IT) 8th Sem, 2019-20 regulation do visit IT 8th Sem Subjects Syllabus for 2019-20 Pattern. For the 8th Sem scheme of Information Technology (IT) 2019-20 Pattern, refer to IT 8th Sem Scheme 2019-20 Pattern.

Information Technology (IT) 3rd Year 8th Sem 2019-20 Onwards Scheme

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

Wishing you great luck ahead.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Scheme 2019-20 Onwards. The detail syllabus for crm and scm is as follows.

Crm and Scm Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Lab Experiments Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Lab Experiments List:

Students can download any open source CRM and SCM systems available to conduct the lab assignments

1. Set up an organizations customers, sales, product/services, departments and markets in the CRM/SCM system
2. Enter data for orders, customers, products, orders, quotes, invoices, payments in the CRM/SCM
3. Generate various CRM reports and alert with all the data entered

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Scheme 2019-20 Onwards. The detail syllabus for wireless networking is as follows.

Wireless Networking Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Lab Experiments Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Lab Experiments List:

1. Wireless Component and Media Identification
2. Install a WLAN Adapter Card
3. Wireless Mathematics
4. Topology Design with Cisco Network Designer (CND)
5. Configuring Basic AP Settings
6. Resetting the Bridge
7. Antenna Setup
8. Wireless Attacks and Countermeasures
9. WLAN Design
10. Site Survey Active Mode

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Scheme 2019-20 Onwards. The detail syllabus for multimedia application is as follows.

Multimedia Application Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Lab Experiments Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Lab Experiments List:

1. Assignment on: Image editing using Photoshop (or other image editing software)
2. Audio editing using Sound Forge or Audacity (or other sound editing software)
3. Animation using Flash Video editing using Premier or Adobe
4. Write a program to convert audio files from one format to other
5. Write a program to convert video files from one format to other
6. Write a programs to embed multimedia files on a webpage and stream them
7. Write programs to transfer multimedia files from one devices to another

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Scheme 2019-20 Onwards. The detail syllabus for ethical hacking is as follows.

Ethical Hacking Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Lab Experiments Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Lab Experiments List:

1. Use any 2 of the following hacking tools to expose system vulnerability (Nmap, Nessus, John the Ripper, Cain and Abel, Netstumbler, SQLMap)
2. Conduct and experiment to crack a password of an Application using the Cain and Abel tool
3. Simulate a Denial of Service attack
4. Execute a network sniffing exercise using Wireshark
5. Discover vulnerabilities in a web server
6. Create a simple website and write programs protect it from hacks such as (SQL injection, DoS, Cross Site Scripting XSS, Cookie/Session Poisoning, Form Tampering, Code injection and Defacement)

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII Labs scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Labs Scheme 2019-20 Onwards. The detail syllabus for wireless networking is as follows.

Wireless Networking Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Lab Experiments Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Lab Experiments List:

1. Wireless Component and Media Identification
2. Install a WLAN Adapter Card
3. Wireless Mathematics
4. Topology Design with Cisco Network Designer (CND)
5. Configuring Basic AP Settings
6. Resetting the Bridge
7. Antenna Setup
8. Wireless Attacks and Countermeasures
9. WLAN Design
10. Site Survey Active Mode

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For 8th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 8th Sem Scheme, 2019-20 Onwards. For the Elective-XIII Labs scheme of 8th Sem 2019-20 onwards, refer to IT 8th Sem Elective-XIII Labs Scheme 2019-20 Onwards. The detail syllabus for machine learning is as follows.

Machine Learning Syllabus for Information Technology (IT) 3rd Year 8th Sem 2019-20 DBATU

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Course Outcomes:

After learning the course the student will be able:

1. To demonstrate knowledge of the machine learning literature
2. To describe how and why machine learning methods work
3. To demonstrate results of parameter selection
4. To explain relative strengths and weaknesses of different machine learning methods
5. To select and apply appropriate machine learning methods to a selected problem
6. To implement machine learning algorithms on real datasets
7. To suggest ways to improve results

Unit i

Introduction: Well-posed learning problems, Designing a Learning System, Perspectives and Issues in Machine learning Concept Learning and General-to-specific Ordering: A concept learning task, Concept learning as Search, Finding a maximally specific hypothesis, Version Spaces and Candidate elimination algorithm, Inductive Bias

Unit ii

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Unit iii

Bayesian Learning: Bayes theorem and concept learning, Maximum likelihood and least square error hypotheses, Minimum description length principle, Bayes optimal classifier, Gibbs algorithm, Naive Bayes classifier Computational Learning Theory: Probably learning an approximately correct hypothesis, PAC learnability, The VC dimension, the mistake bound model for learning

Unit iv

Linear Models for Regression: Linear basis function models, The Bias-Variance decomposition, Bayesian Linear Regression, Bayesian Model comparison Kernel Methods: Constructing kernels, Radial basis function networks, Gaussian Processes

Unit v

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

Unit vi

Reinforcement Learning: The learning task, Q learning, Non-deterministic rewards and action, Temporal difference learning, Generalizing from examples

Text Books:

1. Mitchell, Tom. M., Machine Learning, McGraw-Hill Education, 1st edition, May 2013.
2. Segaran, Toby. Programming Collective Intelligence- Building Smart Web
3. Applications, OReilly Media, August 2007.

Reference Book:

1. Miroslav, Kubat. An Introduction to Machine Learning, Springer Publishing.
2. Bishop, C. M., Pattern Recognition and Machine Learning, Springer Publishing.
3. Conway, Drew and White, John Myles, Machine Learning for Hackers, O’Reilly Media, February 2012.

For detail syllabus of all subjects of Information Technology (IT) 8th Sem 2019-20 onwards, visit IT 8th Sem Subjects of 2019-20 Onwards.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.

For detailed syllabus of all other subjects of Information Technology (IT) 8th Sem, 2019-20 regulation do visit IT 8th Sem Subjects Syllabus for 2019-20 Pattern. For the 8th Sem scheme of Information Technology (IT) 2019-20 Pattern, refer to IT 8th Sem Scheme 2019-20 Pattern.

Information Technology (IT) 3rd Year 8th Sem 2019-20 Onwards Scheme

Don’t forget to download iStudy App for the latest syllabus, results, class timetable and many more features. In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

Wishing you great luck ahead.