Course Name: Programming, Data Structures And Algorithms Using Python

Course abstract

This course is an introduction to programming and problem solving in Python. It does not assume any prior knowledge of programming. Using some motivating examples, the course quickly builds up basic concepts such as conditionals, loops, functions, lists, strings and tuples. It goes on to cover searching and sorting algorithms, dynamic programming and backtracking, as well as topics such as exception handling and using files. As far as data structures are concerned, the course covers Python dictionaries as well as classes and objects for defining user defined datatypes such as linked lists and binary search trees.


Course Instructor

Media Object

Prof. Madhavan Mukund

Madhavan Mukund studied at IIT Bombay (BTech) and Aarhus University (PhD). He has been a faculty member at Chennai Mathematical Institute since 1992, where he is presently Professor and Dean of Studies. His main research area is formal verification. He has active research collaborations within and outside India and serves on international conference programme committees and editorial boards of journals.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Mar 2020

  View Course

 Syllabus

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 21-Feb-2020

 Exam Date : 29-Mar-2020

Enrolled

49684

Registered

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





Legend

Final Score Calculation Logic

Toppers list will be updated shortly....!

Enrollment Statistics

Total Enrollment: 49684

Registration Statistics

Total Registration : 8263

Assignment Statistics




Assignment Score

Graph will be updated shortly...!

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.