Course Name: Metabolic Engineering

Course abstract

Metabolic engineering is an emerging field of biotechnology/bioprocess engineering which aims towards purposeful modification of cellular (metabolic, gene regulatory, and signalling) processes/networks to achieve desirable goals such as enhanced production of metabolites including pharmaceuticals, biofuels and biochemicals and other biotechnology products. This course aims to provide fundamental and advanced knowledge in the development of microbial strain for bio production through metabolic engineering.a


Course Instructor

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Prof. Pinaki Sar

Pinaki Sar, Professor, Department of Biotechnology IIT Kharagpur has been engaged in teaching and research on Microbiology and related biotechnology aspects for the past 18 years. His major area of interest lies in the exploration of microbial communities and their catabolic repertoire; and application in environmental sustainability. He uses genomics and metagenomics approaches to understand community/species function. He has been engaged in teaching the subject Metabolic Engineering for over 10 years to the undergraduate (B Tech. Biotechnology and Biochemical Engineering) students of IIT Kharagpur.
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Prof. Amit Ghosh

Dr. Amit Ghosh received his Ph.D. from IISc Bangalore and thereafter did his postdoctoral research for seven years in Metabolic Engineering from Lawrence Berkeley National Laboratory (LBNL) and University of Illinois at Urbana Champaign (UIUC), USA. He has been engaged in research on metabolic engineering, systems and synthetic biology for the last 12 years. He got involved in teaching subjects: Metabolic Engineering, Metabolic Systems Biology to UG & PG students of IIT Kharagpur for the last 4 years.
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Teaching Assistant(s)

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 Course Duration : Feb-Apr 2022

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 Enrollment : 14-Nov-2021 to 21-Feb-2022

 Exam registration : 13-Dec-2021 to 18-Mar-2022

 Exam Date : 24-Apr-2022

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Enrollment Statistics

Total Enrollment: 726

Assignment Statistics




Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.