Course Name: Introduction to Reciprocal Space

Course abstract

In Materials Science as well as in Physics, many concepts are elegantly represented in what is known as ?Reciprocal Space?. As the name suggests this is inversely related to the commonly encountered and familiar everyday ?Real Space?. In this course we will see how Reciprocal Space is defined. How it is mathematically related to Real Space. How the approaches used in Materials Science texts and Physics texts on this topic, relate to each other. We will also put it to use to look at specific aspects of Materials Science and Physics.


Course Instructor

Media Object

Prof. Prathap Haridoss

Prathap Haridoss is a Professor in the Department of Metalurgical and Materials Engineering, IIT Madras. Research Interests: Carbon nanomaterials, PEM Fuel Cells, Semiconducting nanomaterials

Teaching Assistant(s)

Vani R.

Ph.D (Pursuing), Metallurgical and materials engineering
IIT Madras

 Course Duration : Jan-Mar 2016
  View Course
 Enrollment : 05-Dec-2015 to 04-Feb-2016
 Exam Date : 20-Mar-2016

Enrolled

603

Registered

11

Certificate Eligible

7

Certified Category Count

Gold

1

Silver

0

Elite

4

Successfully completed

1

Participation

1

Success

Elite

Gold




Legend

>=90 - Elite+Gold
60-89 - Elite
35-59 - Successfully Completed
<=34 - Certificate of Participation

Final Score Calculation Logic

  • Assignment Score = Average of all 4 assignments
  • FINAL SCORE (Score on Certificate) = 50% of Exam Score + 50% of Assignment Score
Introduction to Reciprocal Space - Toppers list

ARNAB KABIRAJ 91%

JADAVPUR UNIVERSITY

JAYASIMHA C KARTHIK 81%

SLN SWITCH GEAR

ANIRBAN DAS 64%

COLLEGE ENGINEERING MANAGEMENT KOLAGHAT

TANVIRBANU JAMIRODDIN MALEK 64%

LDRP INSTITUTE OF TECH AND RESEARCH

MAINAK SAHA 64%

NIT,DURGAPUR

BHOOMIKA YADAV 54%

CHHATRAPATI SHIVAJI INSTITUTE OF TECHNOLOGY

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.