Course Name: Human Molecular Genetics

Course abstract

This is an introductory course designed primarily for students in the undergraduate or master’s programs interested in biomedical research, genetic counseling, medicine, and clinical genetics. This course is expected introduce the rapid advancements in our understanding the role of human genome in health and disease. We would introduce key concepts of inheritance of human traits, pedigree analysis, and chromosome organization. Molecular biology tools used for understanding the genome, gene structure and gene mutations, gene mapping and gene cloning strategies will also be covered. Objectives and outcome of human genome project and the HapMap project will also be discussed at the end.


Course Instructor

Media Object

Prof. S. Ganesh

Prof. S. Ganesh teaches biology, genetics and genomics at IIT Kanpur. His research interests include human molecular genetics and neuroscience. He works on genetic forms of neurodegenerative disorders in humans to understand their genetics and disease mechanisms, and to develop therapeutics. He has been serving on the editorial boards of journals, and offers courses on professional and scientific communication at IIT Kanpur. For more information, visit his group’s website: http://home.iitk.ac.in/~sganesh/
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Feb 2022

  View Course

 Enrollment : 14-Nov-2021 to 31-Jan-2022

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

 Exam Date : 27-Mar-2022

Enrolled

Will be announced

Registered

Will be announced

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Silver

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





Legend

Final Score Calculation Logic

Enrollment Statistics

Total Enrollment: 5592

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.