The Department Information will be updated soon.
Computer Science & Engineering - Networks
About Department
The Department Information will be updated soon.
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.
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.
The Department of 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.
“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”.
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.
| 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 |
| 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 |
| 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 |
| 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 | Python for Data Science | Theory | 3 |
| 5 | Design and Analysis of Algorithms | Theory | 3 |
| 6 | Operating Systems Fundamentals Laboratory | Lab | 1.5 |
| 7 | Python for Data Science 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 | Indian Constitution | 0 |
| S.No | Name of the Subject | Theory/Lab | Credits |
|---|---|---|---|
| 1 | Database Management System | Theory | 3 |
| 2 | Data Visualization | Theory | 3 |
| 3 | Machine Learning | Theory | 3 |
| 4 | Open Elective-1 | Theory | 3 |
| 5 | Professional Elective-1 | Theory | 3 |
| 6 | Data Visualization 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 |
| S.No | Name of the Subject | Theory/Lab | Credits |
|---|---|---|---|
| 1 | Big Data Analytics | Theory | 3 |
| 2 | Deep Learning | Theory | 3 |
| 3 | Computer Networks | 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 | Computer Networks Laboratory | Lab | 1.5 |
| 9 | Skill Oriented Course – IV (Refer Annexure - IV) |
Lab | 2 |
| 10 | Universal Human Values | Theory | 0 |
| 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 |
| S.No | Name of the Subject | Theory/Lab | Credits |
|---|---|---|---|
| 1 | Project Work, Seminar and Internship in Industry (6 months) | Project | 12 |
Asst. Professor
M.Tech., (Ph.D) (Visvesvaraya Technological University)
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.
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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.
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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.
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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.
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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.
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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.
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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.
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An Industrial Visit to National Atmospheric Research Laboratory (NARL), was organized by Department of Artificial Intelligence and Data Science on 16th November 2022.
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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.
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.
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To facilitate effectual teaching and learning activities, the department has excellent infrastructure, which includes:
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.
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.