Department of Artificial Intelligence and Machine Learning
Calcutta Institute of Technology, Uluberia
Established2024
Programme OfferedB.Tech
Intake Capacity30
AffiliationMAKAUT
About the Department
The Department of Artificial Intelligence and Machine Learning started functioning in the year 2024; since its inception, the Department has flourished a lot in every field, including academics, research, and other extracurricular activities. The department plays a vital role in motivating and bringing a vibrant, forward-looking environment to the college.
The department endeavors for excellence in research, teaching, and service, covering the fundamental as well as recent trends in the domain of Artificial Intelligence and Machine Learning. Every individual student is monitored and mentored by a group of highly qualified, experienced, and dedicated faculty members. Special attention in terms of remedial classes is provided to support students who require additional academic support.
Learning through projects, especially in the final year, is an integral component of the academic curriculum. Students engage in minor projects, live projects, and major dissertation work to enhance their programming, analytical, and problem-solving abilities. The department actively promotes participation in workshops, NPTEL courses, seminars, coding competitions, hackathons, and various technical events, providing students with valuable practical exposure and fostering innovation, creativity, and technical excellence.
TIC’s Message
Welcome to the Department of Artificial Intelligence and Machine Learning. Our department is committed to providing quality education, innovative research opportunities, and industry-oriented learning experiences in the rapidly evolving fields of AI and ML. We aspire to equip students with strong technical knowledge, analytical thinking, and problem-solving skills that prepare them for successful careers and higher studies.
Through a balanced curriculum, modern laboratories, and collaborative projects, we encourage students to explore emerging technologies and develop practical expertise. Our dedicated faculty members continuously mentor and guide students toward academic excellence and professional growth. We also promote research, innovation, and entrepreneurship to help students contribute meaningfully to society and industry.
I encourage every student to make the most of the opportunities available and pursue learning with curiosity, dedication, and integrity. Together, let us build a future driven by innovation, intelligence, and technological advancement.
Vision & Mission
Vision
To develop skilled, innovative, and ethically responsible professionals in the field of Artificial Intelligence and Machine Learning who can solve real-world problems, contribute to technological advancement, and support the digital transformation of society and industry.
Mission
M1: To provide strong foundational knowledge in Artificial Intelligence and Machine Learning.
M2: To equip students with practical skills through hands-on projects, research activities, internships, and industry-oriented learning.
M3: To encourage critical thinking, innovation, and problem-solving abilities using modern Artificial Intelligence and Machine Learning tools and techniques.
Objectives & Outcomes
PEO 1: To apply the principles of Artificial Intelligence, Machine Learning, and related computing technologies to develop innovative solutions for real-world challenges in industry, academia, and society.
PEO 2: To demonstrate professional competence, critical thinking, and problem-solving abilities to pursue successful careers in AI/ML, data science, software development, and allied fields.
PEO 3: To engage in lifelong learning through higher education, research, professional certifications, and continuous skill development to adapt to emerging technologies.
PEO 4: To exhibit ethical values, leadership qualities, teamwork, and effective communication skills while working in multidisciplinary and multicultural environments.
PO1: Engineering Knowledge – Apply knowledge of mathematics, science, engineering fundamentals, and engineering specialization to solve complex engineering problems.
PO2: Problem Analysis – Identify, formulate, and analyze complex engineering problems to reach substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design and Development of Solutions – Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental concerns.
PO4: Conduct Investigations of Complex Problems – Use research-based knowledge and methods, including design of experiments, analysis, and interpretation of data, to provide valid conclusions.
PO5: Modern Tool Usage – Create, select, and apply appropriate techniques, resources, and modern engineering tools 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 professional engineering solutions in societal and environmental contexts, 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 reports, 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 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 ability to engage in independent and life-long learning in the broadest context of technological change.
Departmental Research
Our departmental research group focuses on advancing knowledge in Natural Language Processing (NLP), Computational Linguistics, and Data Mining, with an emphasis on developing intelligent systems that can analyse, understand, and generate human language. By combining linguistic insights with modern machine learning and data-driven approaches, we address a variety of real-world challenges in language technology.
Our key research areas include Text Summarization, where we develop methods to automatically generate concise and informative summaries from large volumes of textual data, and Sentiment Analysis, which aims to identify opinions, emotions, and attitudes expressed in text. We also explore Computational Sociolinguistics, studying how language varies across social groups, cultures, and online communities, and Computational Stylistics, which focuses on analysing writing styles for applications such as authorship attribution, literary analysis, and stylistic characterization.
Through interdisciplinary research, innovative methodologies, and practical applications, we strive to contribute to the growing fields of language technologies and data analytics while addressing contemporary societal and technological challenges.
Departmental Events and Activities
❖Time Turner: Future of Tech - Model presentation event (14th August 2025)
❖Code Splash - Coding competition (10th September 2025)
❖Participation in Tech Expo 2025
❖ExpressTech - Technical Writing Competition (3rd and 4th November 2025)
❖Coding Club Activity Session - By Ms. Sweata Pramanik from Amazon Web Services (AWS) (6th December 2024)
