Type of Activity: Faculty Development Programme (FDP)
Date/ Duration of Activity (from–to): May 20 – May 24, 2025 (30 hours)
Details of Resource Persons: Internal faculty members from the Department of Computer Science, with expertise in Artificial Intelligence, Natural Language Processing, and Python programming.
Mr. Utsab Mukherjee, Assistant Professor, The Bhawanipur Education Society College.
Ms. Shawni Dutta, Assistant Professor, The Bhawanipur Education Society College.
Ms. Anamika Guha, Assistant Professor, The Bhawanipur Education Society College.
No. of Participants: 11 (School teachers from renowned ISC schools in Kolkata)
Objective of the Event: To familiarise school-level educators with the fundamentals of Artificial Intelligence and its practical applications, and to provide hands-on training in Python programming and Natural Language Processing (NLP) techniques to enrich AI-based skills. The syllabus is aligned with the ISC updated syllabus for Classes XI and XII as per the National Education Policy (NEP) guidelines.
Brief Description of the Event: The Department of Computer Science successfully conducted a 30-hour Faculty Development Programme (FDP) titled “Empower Your Teaching with Artificial Intelligence” from May 20 to May 24, 2025. The programme was specially designed for ISC school teachers across Kolkata. The sessions included detailed modules on the basics of Artificial Intelligence, introduction to Natural Language Processing, and foundational Python programming with practical demonstrations. All eleven participants actively engaged in interactive activities and assessments. The resource persons ensured that concepts were delivered in an accessible and applicable manner.
Outcome of the Event: All eleven participants successfully completed the FDP with A+ grades. Feedback received indicated a strong appreciation for the quality of the content, clarity of instruction, and practical relevance to their teaching careers. The participants found the programme highly enriching, citing improved confidence in adopting AI-driven concepts in their classrooms. The FDP was instrumental in introducing a future-ready approach among school teachers and establishing an academic bridge between college-level technology and school-level instruction. A comprehensive manual containing the detailed syllabus, session outlines, key concepts covered, and additional learning resources was published at the conclusion of the FDP.
Name of the Programme: 30 Hours Add-On Course on Programming in Python Duration of the Programme : June 20, 2024 – July 16, 2024 Resource Person details Amartya Chakraborty, Data Analyst, DataSpace Security Private Limited Utsab Mukherjee, Department of Computer Science, The Bhawanipur Education Society College Akash Mehta, Department of Computer Science, The Bhawanipur Education …
The students of Semester III and V of the B.Com. Afternoon section were taken to the SOBISCO Factory near Dankuni on 22nd of February 2023. The bus left the college campus with a total of 38 students, 6 faculty members and reached the factory by 2.30 pm. After reaching the factory, all were taken to …
The Department of Physics, The Bhawanipur Education Society College organized a ‘One Day Symposium (Phase II) From Hands On Experiments To Resent Development In Particle Physics’ on 11th April 2022. The symposium was organized in collaboration with the department of physics of Jogamaya Devi college, Kolkata and the IQAC, The Bhawanipur Education Society College. The …
The Department of History, of The Bhawanipur Education Society, arranged an invited lecture on 27th November 2020 entitled ‘Indo-Bangladesh Relations Since 1971’. Retired Indian diplomat and Ambassador Shri Rajendra Rai was invited to deliver the special talk. The webinar began at 6:30 pm and was conducted through the medium of Google Meet. Introducing his talk …
30 Hour Faculty Development Programme (FDP) on “Empower Your Teaching with Artificial Intelligence”
Type of Activity:
Faculty Development Programme (FDP)
Date/ Duration of Activity (from–to):
May 20 – May 24, 2025 (30 hours)
Details of Resource Persons:
Internal faculty members from the Department of Computer Science, with expertise in Artificial Intelligence, Natural Language Processing, and Python programming.
No. of Participants:
11 (School teachers from renowned ISC schools in Kolkata)
Objective of the Event:
To familiarise school-level educators with the fundamentals of Artificial Intelligence and its practical applications, and to provide hands-on training in Python programming and Natural Language Processing (NLP) techniques to enrich AI-based skills. The syllabus is aligned with the ISC updated syllabus for Classes XI and XII as per the National Education Policy (NEP) guidelines.
Brief Description of the Event:
The Department of Computer Science successfully conducted a 30-hour Faculty Development Programme (FDP) titled “Empower Your Teaching with Artificial Intelligence” from May 20 to May 24, 2025. The programme was specially designed for ISC school teachers across Kolkata. The sessions included detailed modules on the basics of Artificial Intelligence, introduction to Natural Language Processing, and foundational Python programming with practical demonstrations. All eleven participants actively engaged in interactive activities and assessments. The resource persons ensured that concepts were delivered in an accessible and applicable manner.
Outcome of the Event:
All eleven participants successfully completed the FDP with A+ grades. Feedback received indicated a strong appreciation for the quality of the content, clarity of instruction, and practical relevance to their teaching careers. The participants found the programme highly enriching, citing improved confidence in adopting AI-driven concepts in their classrooms. The FDP was instrumental in introducing a future-ready approach among school teachers and establishing an academic bridge between college-level technology and school-level instruction. A comprehensive manual containing the detailed syllabus, session outlines, key concepts covered, and additional learning resources was published at the conclusion of the FDP.
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