Vision & Mission

Vision

To create an efficient system for imparting professional education in Artificial Intelligence and Data Science employing innovative teaching and learning processes to develop solutions for the benefit of industry and society.

• M1: To Impart quality value based technical education and produce technology professionals with innovative thoughts and strong leadership skills.
• M2: To inculcate rational thinking among students for design and development of cutting-edge products by engaging with industry stakeholders to fulfil the global demands and standards.
• M3: To strengthen the core competencies in the domain of Artificial Intelligence and Data Science.
• M4: To enable the graduates to adapt to the evolving technologies through strong fundamentals and applications for lifelong learning.

• PSO1: To design and develop Artificial Intelligence technology into innovative products for solving real world problems.
• PSO2: To design and develop Data Science methods for analyzing massive datasets to extract insights by applying AI as a tool.

Programme Outcomes (POs)

• PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reach in substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• PO4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6.The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• PO8.Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9.Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO10.Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• PO11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• PO12. Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Programme Educational Objectives (PEOs)

• PEO1: Building next generation technocrats with professional knowledge and skills in Artificial intelligence (AI) and Data Science (DS) for creating innovative solutions to satisfy needs and challenges of the society.
• PEO2: Creating engineers to solve the existing challenges in managing and analyzing massive data for building software systems with Artificial Intelligence related applications.
• PEO3: Producing efficient professionals with strong ethics, moral values, good interpersonal skills, team spirit and leadership qualities for lifelong learning.
• PEO4: Ensuring graduates are employed in top notch industries, possess entrepreneur skills, or focus on higher studies.

Infrastructure & Facilities

Computing Infrastructure at AI& DS Lab

High end servers with advanced operating systems like Windows and Ubuntu are used. The workstations are installed with recent software used for building Artificial Intelligence applications and executing massive data sets. The students are trained to get a wide exposure with in depth knowledge and skills in programming languages like for C, C++ programming, Java, python for Machine learning Deep Learning Programs, R, Ruby, Rust, Go Programming, Kotlin etc.

Name of the Lab: Lab-1 (Room No:253) - No. of Systems = 45

Departmental Committees

Board of Studies (BOS):

Board of examiners (BOE):

Department Undergraduate Committee (DUGC):

Programme Advisory Committee (PAC):

Teaching Learning Methodologies

Effective and Innovative Delivery Methods

Learning Management System (LMS)

To overcome the limitations of the conventional classroom teaching, LMS can be invaluable for the education sector as it enables sharing of the learning resources of all the courses at a single place and gives the privilege of accessing content anytime and anywhere.

FOLLOWING ARE THE OBJECTIVES OF ADOPTING LMS IN LEARNING PRACTICES:

• To share the learning resources of all the courses at a single place
• To give the privilege of accessing content anytime and anywhere
• To make learning effective
• To create online test/quiz/assignments
• To monitor and communicate students’ progress online.
• To encourage communication between student and teacher in forums and discussions.
• To ease the process of evaluation and feedback.

Using LMS teacher can

• share learning material/resources to the class
• Schedules and conducts theory/practical sessions, Quiz, Assignment, tests etc.
• Give project/activity/case study/survey-based assignments to students.

Following is the some of the proofs for using LMS in learning practices

Shared teaching material of the subject Principles of Data Science through LMS.

Teachers also shares the teaching material through GitHub and encourage students to use the GitHub.

Following are some courses have encouraged for NPTEL / Coursera – Video based Learning NPTEL course-based learning

The department has offered the NPTEL elective courses for students. Students can register for the NPTEL course. The course assessments are evaluated based on the assignment submission and the final course evaluation is computed based on the score obtained by the students in NPTEL written exam.

Following courses are offered for the students as 6th semester program electives

Following courses are offered for the students as 5th semester program electives

NTPL Examination Link

Workshops/ FDP/seminars

Departmental Forum

Achievements & Awards

2023-24

Faculty Achievements

• Dr. Meenakshi, Assistant Professor of AI & DS, was awarded 2nd prize in the singing competition held at NMIT on 26-7-24, during Kargil Vijay Diwas.
• Dr Meenakshi, Asst. Professor of AI&DS was reviewer for the First edition of International Conference on Data Science and Exploration in Artificial Intelligence, CODE AI 2024 held during 3rd and 4th July 2024, organized by Manipal Academy of Higher Education, Manipal Institute of Technology, Bengaluru
• Dr Meenakshi, Asst. Professor of AI&DS was awarded a PhD degree in March 2024 by VTU
• Dr Meenakshi, Asst. Professor of AI&DS has received coordinator certificate for ERCICAM 2024 Feb 2024 at NMIT
• Dr Meenakshi, Asst. Professor of AI&DS has bagged 2nd prize in Anyakhari competition held during Kannada Rajyotsava at NMIT 2023.
• Prof. Palanivel R. as session chair for International Conference on Distributed Computing and Optimization Techniques (ICDCOT-2024) organized by SJB Institute of Technology, Bengaluru on 15th & 16th March, 2024
• Prof. Palanivel R. and Prof. Sowmya M started NMIT - ACM student chapter association on 25.01.2024
• Mr. Debarshi Mazumder has been awarded as the Best Paper Presenter for the paper entitled 'Denial of Service (DoS) Attack Detection Using Feed Forward Neural Network in Cloud Environment' at the IEEE 2nd International Conference on Data Science and Network Security (ICDSNS-2024) in association with IEEE Bangalore Section during 26-27 July 2024 at Kalpataru Institute of Technology, Tiptur, Karnataka.

Student Achievements

• More than 30 Certification courses are completed in INFOSYS springboard (CompTIA Network, Data structures).
• Our students achieved Gold, Silver, Elite in more than 50 courses in NPTEL conducted by IIT, NPTEL.
• Aditya Sinha from Vth Semester won first place with cash prize of 5 K in Glitch Fine - ideathon organised by Solvify club NMIT Bangalore on 5 Jan 2024.
• Aditya Sinha (2021-2025) from Vth Semester won first place in Blind Coding organised by X-Factor in January 2023.
• Hemanth Kumar KS (2021-2025) cracked GATE'24.
• Vinesh Vikshith, Thulasi Prasad (2021-2025), Prathvi Bellundagi (2022-2026) they won first place in the CMRIT Spardha 2023 Handball Men tournament held on 15th Dec 2023, with standout performance.
• 2nd year AI&DS students Karumanchi Brundhakshitha, and Abhishek under the guidance of Dr. Meenakshi have published technical paper "Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability" in Journal of Artificial Intelligence, Machine Learning and Soft Computing
• 3rd year AI&DS students Bhavyashree G, B S Keerthi and K S Prakruthi under the guidance of Dr Meenakshi have presented paper "Enhancing Campus Safety" in ERCICAM International Conference 2024 at NMIT.
• 3rd year AI&DS students Bhavyashree G, B S Keerthi and K S Prakruthi with collaboration of Abhimanyu J, V S Sanjana, K Tanmay Harshith unde the mentoring of Dr Meenakshi, won the Smart India Hackathon State level 2023 conducted by Govt of India.
• Ujjwal, a 2nd-year student, was awarded a participation certificate at Mood Indigo 2023, IIT Bombay and street play conducted by IIM Bengaluru 2023.
• Ujjwal, a 2nd-year student, was awarded First prize in Goonj event at INVINCIA 2024 at Presidency University Bengaluru.

Project Exhibition

Professional Societies