Course Name: Principles and Applications of NMR Spectroscopy

Course abstract

The objective of the course is to teach the basic aspects of nuclear magnetic resonance (NMR) spectroscopy, which is an important analytical tool in chemical and pharmaceutial industry for structural characterization of molecules. The topics to be covered will include one-dimensional NMR, Chemical shifts, J-coupling, Interpretation of 1D NMR spectrum, Basics of 2D NMR, Different 2D NMR experiments and their application/interpretation, Application of 2D NMR for assignment of molecules and peptides.


Course Instructor

Media Object

Prof. Hanudatta S. Atreya

Prof. H. S. Atreya is an Associate Professor at the Indian Institute of Science. He has nearly 20 years of experience in the area of NMR spectroscopy. He has authored approximately 75 peer review publications, edited one book and has two US patents. Research interests include development and application of new magnetic resonance methodologies for studying structure, function and dynamics of biomolecules.
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Teaching Assistant(s)

ABHINAV DUBEY

 Course Duration : Jul-Sep 2016

  View Course

 Syllabus

 Enrollment : 23-May-2016 to 18-Jul-2016

 Exam registration : 02-Aug-2016 to 19-Aug-2016

 Exam Date : 18-Sep-2016, 25-Sep-2016

Enrolled

965

Registered

116

Certificate Eligible

40

Certified Category Count

Gold

0

Elite

20

Successfully completed

20

Participation

47

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Principles and Applications of NMR Spectroscopy - Toppers list

ALOK PRATAP SINGH 86%

INDIAN INSTITUTE OF SCIENCE EDUCATION AND RESEARCH BHOPAL

GONNA SOMU NAIDU 76%

HOMI BHABHA NATIONAL INSTITUTE

Assignment

Exam score

Final score

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.