Computer Science & Engineering - Artificial Intelligence

About Us

The Department of Artificial Intelligence offers 4-year degree in Artificial Intelligence, which are established in the year 2020. The courses are flexible and have been structured to meet the evolving needs of the IT industry. The College Academic Council, Board of Studies of the department strive to provide quality education and most advanced curriculum and syllabus to make the students industry ready and excel in the contemporary business world.

B. Tech. in Artificial Intelligence and Data Science (AI &DS) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like artificial intelligence, data science, machine learning and deep learning. The main goal of artificial intelligence (AI) and data science (DS) is to program computers to use example data or experience to solve a real-life / real-time problem.
Goals

 To maintain a high standard of education through outstanding teaching innovative curriculum and research   training that reflect the changing needs of society.
 To attract highly motivated students with enthusiasm, attitude and interest in Artificial Intelligence and Data   Science.
 To pursue excellence in research and technology transfer.
 To increase the public awareness of departmental activities and the Artificial Intelligence & Data Science profession.

Vision

The Department is committed to inculcate discipline, offering best Technical Education and Research Opportunities with inculcated discipline and ethically strong to meet the global challenges, who in turn shall contribute to the improvement and well-being of the society.

Mission

Train the students in the most recent technologies of AI&DS.

Stimulating students to solve societal issues through AI techniques by inculcating values and ethics.

Enrich employability and entrepreneurial skills in the field of AI & DS through experiential and self-directed learning.

Career Prospects

E-Notice Board

Symposium

A One Day National Level Student Technical Symposium RAIDS (Rise of Artificial Intelligence and Data Science) was organized by Department of Artificial Intelligence and Data Science on 19th April 2023.

Guest Lecture

A Guest Lecture on "Insights of tasks in Data Science and AI" was organised by Department of Artificial Intelligence & Data Science in association with IEEE Student Branch on 2nd February 2023.

Webinar

A Webinar on "Entrepreneurial Uses of AI” was organised by Department of Artificial Intelligence & Data Science in association with Entrepreneurship Development Cell on 25th January 2023.

Webinar

A Webinar on Artificial Intelligence in Real Time Applications was organized by Department of Artificial Intelligence and Data Science in Association with ISTE Student Chapter on 28 December 2022.

Guest Lecture

A Guest Lecture on “Current Environmental Cyber Crime, Cyber Security and Cyber Evolution” was organised by Department of Artificial Intelligence & Data Science on 21st December 2022.

Courses View All Courses

B.Tech - Four year program

Contact Us

Dr. K. Chokkanathan

Head of the Department - CSE - Artificial Intelligence

  • Address :

    Madanapalle Institute of Technology & Science
    Post Box No: 14, Kadiri Road,
    Angallu, Madanapalle-517325,
    Andhra Pradesh, India.

  • Phone : +91-8571-280255; 280706

  • E Mail : [email protected]

Under Graduate

Bachelor of Technology (B.Tech) Program

The Department has the best undergraduate program required for the IT industry. The course curriculum for the undergraduate program gives the flexibility to the students to prepare for advanced specializations. The department commits to offer a set of electives so that students can plan their academic program in advance. The course structure provides a right mix of compulsory and elective courses.

Curriculum

The B.Tech Program is divided into two distinct parts. A student has to go through a common program called Core Curriculum. Most of the core curriculum is completed in the first four semesters. The last four semesters have a large number of professional courses, that initiates the student to acquire the knowledge in the field of Artificial Intelligence and Data Science. The Core Curriculum consists of a package of compulsory courses in Physics, Chemistry, Mathematics, Engineering Sciences and Technical Arts.

The Professional Curriculum consists of courses and Project Work. There are some compulsory courses, but there is a significant number of professional electives as well.

Department Information:

Department of Artificial Intelligence and Data Science offers 4-year degree, which is established in the year 2022. The course is flexible and has been structured to meet the evolving needs of the IT industry.

Department Activities:

“To train up the students to increase their managerial skills on par with Industry. Conducting IT games to bring up the creative thoughts and conducting classes to improve their personality”.

Computer Lab:

The computer center is located in three floor circular building with centralized A/c and it is equipped with 575 P – IV systems with latest configuration and 3 servers. Internet facility is provided to all the students. Each student is provided with an independent workstation.

AI - B.Tech I Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Engineering Calculus Theory 3
2 Applied Physics Theory 4
3 Basic Electrical Engineering Theory 3
4 Programming for Problem Solving (Python) Theory 3.5
5 English for Professional Purposes Laboratory Theory 1
6 Physics Laboratory Lab 1.5
7 Electrical Engineering Laboratory Lab 1.5

AI - B.Tech I Year II Semester - R20

S.No Name of the Subject Theory/lab Credits
1 Professional English Theory 3
2 Linear Algebra Theory 3
3 Engineering Chemistry Theory 3
4 C Programming and Data Structures Theory 3
5 Engineering Graphics Theory 3
6 Chemistry Laboratory Lab 1.5
7 C Programming and Data Structures Laboratory Lab 1.5
8 Engineering and IT Workshop Lab 1.5

AI - B.Tech II Year I Semester - R20

S.No Name of the Subject Theory/lab Credits
1 Probability and Statistics for Computer Science Theory 3
2 Computer System Architecture Theory 3
3 Data Structures using Python Theory 3
4 Object Oriented Programming - JAVA Theory 3
5 Fundamentals of Artificial Intelligence Theory 3
6 Data Structures using Python Laboratory Lab 1.5
7 Object Oriented Programming - JAVA Laboratory Lab 1.5
8 Fundamentals of Artificial Intelligence Laboratory Lab 1.5
9 Skill Oriented Course – I
(Refer Annexure - IV)		   2
10 Environmental Science   0

AI - B.Tech II Year II Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Economics and Financial Accounting for Engineers Theory 3
2 Discrete Mathematical Structures Theory 3
3 Operating Systems Fundamentals Theory 3
4 AI Tools, Techniques and Applications Theory 3
5 Design and Analysis of Algorithms Theory 3
6 Operating Systems Fundamentals Laboratory Lab 1.5
7 AI Tools, Techniques and Applications Laboratory Lab 1.5
8 Design and Analysis of Algorithms Laboratory Lab 1.5
9 Skill Oriented Course – II
(Refer Annexure - IV)		 Lab 2
10 ndian Constitution   0

AI - B.Tech III Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Computer Networks Theory 3
2 Database Management Systems Theory 3
3 Machine Learning Theory 3
4 Open Elective-1 Theory 3
5 Professional Elective-1 Theory 3
6 Database Management Systems Laboratory Lab 1.5
7 Machine Learning Laboratory Lab 1.5
8 Skill Oriented Course – III
(Refer Annexure - IV)		 Lab 2
9 Disaster Management Lab 0
10 Summer Internship-1* Theory 1.5

AI - B.Tech III Year II Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Big Data Analytics Theory 3
2 Deep Learning Theory 3
3 Data Science Theory 3
4 Open Elective-II Theory 3
5 Professional Elective-II Theory 3
6 Big Data Analytics Laboratory Lab 1.5
7 Deep Learning Laboratory Lab 1.5
8 Data Science Laboratory Lab 1.5
9 Skill Oriented Course – IV
(Refer Annexure - IV)		 Lab 2
10 Universal Human Values Theory 0

AI - B.Tech IV Year I Semester - R20

S.No Name of the Subject Theory/Lab Credits
1 Professional Elective-III Theory 3
2 Professional Elective-IV Theory 3
3 Professional Elective-V Theory 3
4 Open Elective-III Theory 3
5 Open Elective-IV Theory 3
6 Open Elective-V (Taken from Humanities & Social Science) Theory 3
7 Skill Oriented Course – V
(Refer Annexure - IV)		 Lab 2
10 Summer Internship-2 * Project 3

AI - B.Tech IV Year II Semester - R20 

S.No Name of the Subject Theory/Lab Credits
1 Project Work, Seminar and Internship in Industry (6 months) Project 12
Post Graduate
Faculty

  • Dr. K. Chokkanathan

    Assoc. Professor & Head
    Ph.D. (Veltech University)

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  • Dr. K. Hemalatha

    Asst. Professor
    Ph.D. (SPMVV, Tirupathi)

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  • Dr. Vamsi Bandi

    Asst. Professor
    Ph.D. (Lincoln University College, Malaysia)

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  • Mr. R. Ashok Kumar

    Asst. Professor
    M.S.

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  • Ms. N. Mohana Priya

    Asst. Professor
    M.Tech

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  • Mr. G. R. Hemanth Kumar

    Asst. Professor
    M.Tech.

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  • Ms. R. Dhanalakshmi

    Asst. Professor
    M.E.

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  • Ms. S. Kalaivani

    Asst. Professor
    M.E., (Ph.D.) (Annamalai University)

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  • Mr. J. Viswanath

    Asst. Professor
    M.E.

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  • Mr. P. Raguraman

    Asst. Professor
    M.Tech.

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  • Mr. D. Jaganathan

    Asst. Professor
    M.Tech

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  • Mr. Shahad P

    Asst. Professor
    M.Tech., (Ph.D.) (IIIT, Kottayam)

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  • Mr. K. Mahammad

    Asst. Professor
    M.Tech.

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  • Ms. Ayisha Noori V K

    Asst. Professor
    M.Tech.

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  • Mrs. A. Naga Lakshmi

    Asst. Professor
    M.Tech.

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  • Mr. V. V. S. Trinadh Naidu Kamparapu

    Asst. Professor
    M.Tech.

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  • Mr. Toralkar Pawan

    Asst. Professor
    M.E.

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Lab
Event
Faculty Achievements
Student Achievements
List of Publications
Surveys from Stakeholders
Mentor & Mentee List will be updated soon

Remedial Schedule
2019-20 Odd Semester
2019-20 Even Semester
Events

2022-23

  1. A one-day National Level Student Technical Symposium RAIDS (Rise of Artificial Intelligence and Data Science) was organized by Department of Artificial Intelligence and Data Science on 19th April 2023.
    Click here for Report on Event

  2. A Guest Lecture on "Insights of tasks in Data Science and AI" was organised by Department of Artificial Intelligence & Data Science in association with IEEE Student Branch on 2nd February 2023.
    Click here for Report on Event

  3. A Webinar on "Entrepreneurial Uses of AI” was organised by Department of Artificial Intelligence & Data Science in association with Entrepreneurship Development Cell on 25th January 2023.
    Click here for Report on Event

  4. A Webinar on Artificial Intelligence in Real Time Applications was organized by Department of Artificial Intelligence and Data Science in Association with ISTE Student Chapter on 28 December 2022.
    Click here for Report on Event

  5. A Guest Lecture on “Current Environmental Cyber Crime, Cyber Security and Cyber Evolution” was organised by Department of Artificial Intelligence & Data Science on 21st December 2022.
    Click here for Report on Event

  6. A One Day workshop on “An Introduction to Research Document Preparation using LaTex” was organised by Department of Artificial Intelligence & Data Science in association MITS-IIC on 17th December 2022.
    Click here for Report on Event

  7. A One Day Virtual Workshop on "Robotics, AI & Machine Learning" Jointly organized by the Departments of AI&DS, EEE and ME on 19th December 2022.
    Click here for Report on Event

  8. An Industrial Visit to National Atmospheric Research Laboratory (NARL), was organized by Department of Artificial Intelligence and Data Science on 16th November 2022.
    Click here for Report on Event

  9. A National Education Day’22 programme Event was organised by the Department of AI & DS in association with MITS-Institution’s Innovation Council (IIC) on 11th November 2022.

  10. A One Day Workshop On “Applications Of Statistics In Artificial Intelligence And Data Science” was organized by Department of AI & DS in association with Department of Mathematics on 20th October 2022.
    Click here for Report on Event

Class Rooms

Department Infrastructure

To facilitate effectual teaching and learning activities, the department has excellent infrastructure, which includes:

  • Air-conditioned seminar hall
  • State-of-the-art digital classroom
  • All IT enabled classrooms
  • Classrooms with sound systems
  • Well-equipped laboratories
  • Continuously upgraded computer facilities
  • Well-stocked Department library

The department has ample labs, even beyond curriculum requirements,the which are used students from all years ot study. The labs are allotted to the students for every week as per the timetable. Apart from the regular labs, research lab is also available for faculties and students to carry out their research and project work.The maintenance of infrastructure and facilities at the Department is carried out in a timely and thorough manner to ensure maximum availability and minimum downtime of the equipment and services. All the lab facilities and services are made available to the students even in the after-hours and holidays to enable their maximum utilization and benefit to the students.

Advance your knowledge and transform the lives

MITS creates a conducive environment for students who come with sparkling ideas, by broadening perspectives, by facilitate diligent collaboration and transform them into truly thoughtful leaders. Transform into an effective global leaders- revolutionize education, multi-disciplinary research so that to nurture an impacted society and to revitalize the lives.

To another century of expanding minds and leading the world forward.

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