Academic Planning & Activities

The Department of Artificial Intelligence and Machine Learning (AIML) follows a systematic, structured, and outcome-based approach to curriculum design and development, ensuring alignment with the Vision and Mission of the institution and department. The curriculum is designed to meet the academic, research, industry, and societal needs in alignment with AICTE, National Education Policy (NEP) 2020, and NBA’s Outcome-Based Education (OBE) guidelines.

Curriculum Design and Development

Outcome-Based Curriculum Structure :All courses have clearly defined Course Outcomes (COs) aligned to Program Outcomes (POs) and Program Specific Outcomes (PSOs).
AI/ML-Centric Program Core structure includes foundational AI, ML, Deep Learning, Data Science, Natural Language Processing, Computer Vision, and Ethics in AI.
Entrepreneurship and Innovation Focus: Courses and workshops in entrepreneurship, product design, startup incubation, and innovation practices.

Research and Innovation Initiatives

Establishing research groups for emerging fields like Robotics, Machine Learning, andSustainable Engineering.
Collaboration with industry for funded research projects and internships.
Organizing hackathons, ideathon contests, and innovation challenges.

Laboratory and Infrastructure Development

To be an Artificial Intelligence and Machine Learning programme provide quality education, impart collaborative research and develop graduates for industry and society.

Mission

Upgrading labs with advanced tools like Deep learning server, Apple lab set up with IOS software.
Setting up centers of excellence for specialized fields like Robotics, Machine Learning.
Promoting virtual labs and remote experimentation for online learners.

Comprehensive Mentorship Program

Each student is assigned a faculty mentor to provide personalized guidance in academics,career planning, and personal development.
Regular mentorship meetings ensure continuous tracking of student progress and timely intervention for challenges.
1:20 ratio is maintained while assigning faculty to each student batch.

Class Advisors (Teachers)

Every class has a designated class teacher who monitors academic performance, attendance, and overall well-being.
Class Teachers collaborate with students to set academic and career goals while ensuring compliance with institutional requirements.
For A.Y.2025-2026 following class teachers assigned,

- FY B.Tech –Ms.Ashwini.B.Patil

Departmental Committees

Board of Studies (BoS):

Board of study committee Review Curriculum Design & approves curriculum, Industry Integration, Skill Development, Outcome Monitoring, Accreditation Support, Stakeholder Feedback

The Department Advisory Board (DAB) plays a pivotal role in guiding the department toward achieving academic and professional excellence.

Program Delivery with Emphasis on Experiential Learning

Integration of project-based learning across courses to develop problem-solving and analytical skills.
Collaboration with industry partners for live projects, case studies, and workshops on trending technologies.
Use of cutting-edge tools, simulation platforms, and online coding platforms like code zinger to enhance the learning experience.

Projects and Mini-Projects

Students undertake mini-projects in fifth and sixth semesters and major projects in final year, encouraging application-based learning and research problem statements.
Projects often focus on solving real-world problems, with themes such as Smart Cities, E-Healthcare, and Green Computing.
Organizing project showcases and hackathons to promote innovation and teamwork.
Mini Project and mega project guides are assigned to each group to evaluate student progress.

Industry Visits and Internships

Regular industrial visits to top IT companies, startups, and research centers provide students with practical exposure to organizational workflows and cutting-edge technologies.
Internship opportunities during semester breaks enable students to gain hands-on experience in real-world projects and applications.

Seminars, Workshops, and Technical Events

Regular departmental seminars and guest lectures by industry professionals and academic experts on emerging trends like Data Science, Machine Learning, Artificial Intelligence Human Computer Interaction.
Workshops on programming languages, frameworks, and tools such as Python, TensorFlow, and Docker.
Hosting hackathons, coding contests, and innovation challenges to foster creativity and competitive spirit among students.

Skill Development Initiatives

Certification programs in collaboration with global leaders like AWS, Google, and Microsoft for cloud, AI, and data analytics certifications.
Conducting soft skills development workshops focusing on communication, teamwork, and leadership.

Research-Oriented Activities

Establishing research groups in fields like Machine Learning, IoT, and Cybersecurity.
Encouraging students to publish research papers, participate in technical conferences, and apply for innovation grants.
Collaboration with faculty to develop innovative solutions and products for industry and societal challenges.

Technical Clubs and Extracurricular Activities

Active student-run clubs such as Coding Club, Robotics Club, and Linux Club, ASCES club,SAIT, to promote peer learning.
Organizing intra- and inter-college competitions to encourage networking and knowledge sharing.
Our Students are growing through club culture in curricular and extra curricular activities.

Continuous Evaluation and Improvement

Regular feedback from students and faculty on teaching methods, curriculum design, and overall experience.
Adapting to the latest trends in technology and pedagogy to maintain academic excellence.
Continuous Evaluation is done for laboratory courses by taking Laboratory Assessment 1 and 2(30 Marks) End Semester Examination (40 Mark)
Continuous Evaluation for the theory courses are taken in the form of In semester evaluation 1 and 2 (20 Mark) Mid Semester Evaluation (30 Mark) End Semester Evaluation(50 Mark)
In semester evaluation taken in the form of Oral,Quiz,Presentation,MCQ etc.

Program Delivery

The department emphasizes experiential and project-based learning to foster practical knowledge and problem-solving skills.
Strong industry collaborations ensure students gain exposure to real-world applications through live projects, guest lectures, and internships.
The use of modern teaching tools, such as BENQ smart boards, virtual labs, e-learning platforms, and simulations, enhances the program delivery.
Departmental faculty use different innovative methods to engage lecturers like video lecture,interactive lectures,Discussions etc.

Industry-Academia Collaboration

Partnerships for internships, co-op programs, and guest lectures.
Establishing incubation centers for student startups.
Inviting industry experts for curriculum input and mentorship.