Five-day Faculty Development Programme (FDP) on Strengthening Teaching- Learning and Evaluation Processes in UG Chemistry: Adapting to NEP based on Calcutta University (CU) CCF Syllabus
Organized by
Department of Chemistry, The Bhawanipur Education Society College
In collaboration with
The UGBOS (Chemistry), University of Calcutta
&
Physical Chemistry Teachers’ Forum (PCTF), West Bengal
in association with IQAC &
Faculty Development Committee, The Bhawanipur Education Society College
Name of the Activity: Five-day Faculty Development Programme (FDP) on Strengthening Teaching- Learning and Evaluation Processes in UG Chemistry: Adapting to NEP based on Calcutta University (CU) CCF Syllabus
Type of Activity: A Five-day Faculty Development Programme (FDP)
Date: July 21-25, 2026
Time: 10.30 AM – 05.00 PM
Details of the Resource persons:
Speakers:
No. of Participants: 34 participants (all are faculty members of different colleges under University of Calcutta).
Objective of the event:The primary objectiveis to enhance the academic and pedagogical competencies of undergraduate Chemistry faculty in accordance with the National Education Policy (NEP) 2020 and the Calcutta University Curriculum and Credit Framework (CCF). The programme aims to:
Brief description of the event: The Department of Chemistry, The Bhawanipur Education SocietyCollege, successfully organized Five-day Faculty Development Programme (FDP) on “Strengthening Teaching- Learning and Evaluation Processes in UG Chemistry: Adapting to NEP based on Calcutta University (CU) CCF Syllabus”in collaboration with The UGBOS (Chemistry), University of Calcutta and Physical Chemistry Teachers’ Forum (PCTF), West Bengal in association with IQAC and Faculty Development Committee, The Bhawanipur Education Society College on July 21-25, 2026. The programme was designed to provide faculty members with an academic platform to strengthen their understanding of the CU CCF-based UG Chemistry curriculum and the teaching-learning and evaluation processes aligned with NEP. The FDP focused on promoting effective and contemporary approaches to undergraduate Chemistry education and encouraged academic interaction and sharing of teaching practices among participating faculty members.







The programme began on 21 July 2026 (Day 1) with an inaugural session where dignitaries and faculty members delivered addresses to the audience, followed by number systems by Dr. Kinshuk Banerjee, root-finding techniques by Dr. Sukanya Chakraborty, and regression methods by Dr. Rahul Sharma. On 22 July (Day 2), Prof. Nikhil Guchhait, member of UGBOS (Chemistry) discussed on teaching and evaluation processes in undergraduate chemistry. The focus then shifted to technical sessions, the interpolation using Lagrange’s method, covered by Dr. Partha Biswas, numerical differentiation and integration by Dr. S.S. Riaz, solving ordinary differential equations by Dr. Subhasree Ghosh. The Fourier series and Fourier transforms was discussed by Dr. Arnab Gangopadhyay, and practical Excel-based experiments conducted by Dr. Partha Biswas and Dr. Priyotosh Dutta. The third day, 23 July (Day 3), was dedicated entirely to Python programming, started with the basics such as modules, loops, logic, and functions, and continuing into data structures. The first day training was conducted by Dr. Abhijit Kar Gupta and Dr. Arnab Gangopadhyay. On 24 July (Day 4), participants explored advanced computational tools, elementary ideas with NumPy arrays and vectorized functions in the morning and then moved to data visualization using Matplotlib in the afternoon. The session was conducted by Dr. Kishore Mukhopadhyay and Dr. Arnab Gangopadhyay. The final day, 25 July (Day 5), emphasized numerical methods and problem-solving through coding with the SciPy module, Conducted by Dr. Abhijit Kar Gupta and Dr. Kishore Mukhopadhyay. An assessment on the whole course was conducted. There was a feedback session and the FDP was concluded with the valedictory ceremony and certificate distribution.
Outcome of the event: The key outcomes of the programme were:-
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