Course Name: Learning about Learning : A Course on Neurobiology of Learning and Memory

Course abstract

In this course we propose to teach the rules governing learning and how they result in storage of information in the form of memory. The course structure is such that the lectures introduces the student/listener to the fundamental rules that determine learning through a historical perspective. Such a design helps the listener/student to understand how these rules came about, what were the experimental observations that led to the rules. In the course we will be using these rules and apply to various situations and experimental setting and analyse the behavioral outcomes. The framework for understanding associative learning is presented in the first few lectures followed by reinforcement learning/instrumental conditioning. In the end synergistic views of both the learning are presented followed by description of some of the modern behavioral paradigms. Towards the later part of the course the lectures connect these behavioral studies to molecular underpinnings


Course Instructor

Media Object

Prof. Balaji Jayaprakash

Assistant Professor, Centre for Neuroscience, Indian Institute of Science Research: Learning and Memory Post Doctoral Fellow with Prof. Silva, Department of Neurobiology, UCLA, Los Angeles, July 2007- Dec 2011 Post Doctoral Fellow with Prof. Ryan, Department of Biochemistry, Weil Medical College of Cornell University, New York, NY - 10021. USA, 2005 - 2007 Tata Institute of Fundamental Research, Visiting Fellow, 2004 - 2005 Tata Institute of Fundamental Research, Ph.D. (Chemistry), 2004
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Teaching Assistant(s)

Meenakshi P

PhD candidate, Neuroscience

Shruti Shridhar

M.Sc. Genetics , currently pursuing Ph.D in Neuroscience

 Course Duration : Jan-Feb 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 22-Feb-2019

 Exam Date : 31-Mar-2019, 31-Mar-2019

Enrolled

1246

Registered

96

Certificate Eligible

61

Certified Category Count

Gold

1

Silver

11

Elite

10

Successfully completed

39

Participation

17

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Learning about Learning : A Course on Neurobiology of Learning and Memory - Toppers list

C.N.NALINI 90%

C.L.BAID METHA COLLEGE OF PHARMACY,CHENNAI

DEEPAK SAHU 87%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY KALYANI

AJAY EXTROSS 86%

MIT SCHOOL OF ENGINEERING, PUNE

DILEEP FRANCIS 85%

KRISTU JAYANTI COLLEGE

GOKUL N. C. 84%

MULTICOREWARE

DEEPAK CHALLIYIL 84%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY DESIGN AND MANUFACTURING, KURNOOL

Enrollment Statistics

Total Enrollment: 1246

Registration Statistics

Total Registration : 96

Assignment Statistics




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.