iitm online degree assignment answers

IITM Student

• Qualifier Coaching 
• Re-Exam 
• Rank Booster
• Qualifier/Term 1
• Whatsapp Groups
• Terms & Conditions
• Refund Policy
• Privacy Policy
• Qualifier Coaching  
• Qualifier Coaching
• About   
• Graded Assignments  
• Notes & Previous Questions
• Services   

Notes & Question Papers

Tools in Data Science

TDS Notes GitHub Repository

by Anand Iyer

Video Lectures Playlist

by IITM BSc

TDS All Week Notes

by Kumar Chandan

by Kautuk Doshi

All Weeks - Summary Notes

Week 1 notes, week 1-8 notes january 2022 term, tds programming notes.

by Indranil Bhattacharya

Business Analytics

Github Repository Notes Weeks 1-7

All weeks lecture pdfs (by vinay ray).

by Chaitanya Kumaria

Machine Learning Practice

Scikit Learn Cheatsheet

Mlt lecture notes, notes github repository, github notes repository.

by Nagesh Mourya

Github Code Repository

by Viswajith Es

Machine Learning Cheatsheet

by Srinivasan

Machine Learning Techniques

MLT All Weeks Formulas

All weeks formulas and notes, numpy guide, github mlt repository, stanford ml cheatsheet (for end term).

System Commands

Week 1 notes

by Kashiful Haque

by Aarthi A

Week 2 Notes

Week 3 notes, week 4 notes, quiz 1 notes, week 5 notes, week 6 notes, regex consolidated notes, week 7 notes, command line editors, quiz 2 notes, week 8 notes, week 1-8 notes.

by Cherian George

Modern Application Development II

Week 9 Notes

Week 10 notes.

Programming Concepts Using Java

Java Quiz 1 Notes

Week 11 notes, week 12 notes.

Business Data Management

BDM-Week1-SummaryNotes

Week 1 to week 4 notes, bdm formulas, bdm week 1-4, bdm week 5 summary notes.

by S Shashank

Machine Learning Foundations

MLF Github Repository

Mlf quiz 1 - problems for practice, week 7 notes, mlf quiz 2 - problems for practice, week 8 notes, week 9 notes, mlf week 0,1.

by Hardik Sharma

MLF Week 10

Mlf week 11, mlf week 12, ml foundations week 1, ml foundations week 2.

by Visist Thallam

MLF Short Notes for Quiz-1

Quiz-2 (week 5 to 8) formula sheet, mlf week 1-12 formula list.

Modern Application Development I

AppDev-1 NOTES

Mad-1 week 1-4 (quiz1) notes.

by Sayan Ghosh

Programming, Data Structures and Algorithms using Python

Week 1 Notes (Colab Version)

Week 2 (colab version), pdsa week 1-2 notes (google colab notebooks), week 3 notes (colab version), week 4 notes (colab version), week 5 notes (colab version), python notes upto week-2, pdsa w5 shorts.

by Aditya Dwivedi

PDSA W6 Shorts

Pdsa w7 shorts, pdsa week 1, pdsa week 2, pdsa week 3 l1(quick sort), online textbook by iitm.

Database Management Systems

DBMS W3 NOTES

Week 3 notes (separate + merged), week 1-3 merged notes, week 4 merged notes, quiz 1 merged notes, week 5 notes, week 6 notes, week 7 notes, quiz 2 notes (merged), week 8 notes, week 9 notes, week 10 notes, quiz 3 notes, week 2 notes, dbms w11 notes.

IITM BSc Mathematics for Data Science-2

Prescribed Book (Mathematics for ML)

by Anonymous

Prescribed Book (Vector Calculus)

by Amisha Das

Week 1-3 Notes

Github repository, maths-2 notes w4-5, math-2 week 6 notes, maths 2 notes w6-7, maths 2 week 1-8 notes, maths-2 notes w8-9, maths-2 notes w10, maths-2 notes w11.

by Gagneet Kaur

MATHS 2 WEEK 1-4 NOTES

by Puneet Prasar

Maths 2 week 5 notes

Maths 2 week 5-7, week 1-11 maths 2 notes.

by Padmaja Sharma

Programming in Python

Python for Everybody Book (Python 3) (Reference) (Data Science Focused)

Python cheat sheet.

by Shashwat

Python Basics Blog

Basic principles on clean coding.

by Pv Shabarish

Week 3 Python Notes

Week 4 python notes, week 5 notes (functions), week 6 notes ( topic: python collections), week 8 python notes, python - full revision, week 10 notes (oop), week 11 notes (exception handling & functional programming), python book by iitm.

IITM BSc Statistics for Data Science-2

Prescribed Book PDF

Prescribed book link, statistics week 1 important formulas, week 2 important formulas, week 3 important formulas, stats 2 week 4 notes, stats 2 week 5 notes, week 4 important formulas, week 5 important formulas, week 6 important formulas, week 1-3 (anonymous), week 4 (anonymous), week 5 (anonymous), week 6 (anonymous), statistics-2 week 1-8 notes, important formulas and results (pdf, cdf, e[x], var(x)), stats-2 week 7, stats-2 week 8, stats-2 w9 & w10, hypothesis testing compilation, probability and statistics with examples using r siva athreya, deepayan sarkar, and steve tanner.

by Nikhilesh Maddheshiya

thinkstats2 Allen B. Downey

Week 0 (part 1,2,3) notes, statistics-2 w0 notes, stats 2 week 0, stats 2 week 1, stats 2 week 2, stats 2 week 3, statistics-2 w3 notes, statistics-2 w1, statistics-2 w2, week 0 part - 2 iitm notes, week 0 part - 3 iitm notes, statistics-2 w4 notes, statistics-2 w5 notes, solution w6 t3, stats-2 notes.

by Dev Bhatnagar

IITM NOTES W1-12

Week o part 1,2,3, stats 2 week 1-4, stats 2 week 5,6 and 8.

IITM BSc English-2

English-2 Week 1 Notes

English week 1-3 notes, lecture notes summary, english 2 week 2, english 2 week 3 notes, english 2 week 4 notes, english 2 week 5 notes, english 2 week 6 notes, english 2 notes w4-6, english-2 notes w7-8, english-2 notes w9-10, english 2 notes w11-12, english-2 - main topics.

IITM BSc English-1

Weeks (1-9)

English-1 notes w1-9, english-1 general concepts, english-1 week 1-4 notes, english-1 - week 1-4, english-1 - week 8, english week 1 for qualifier 2 (september batch).

by Ashutosh Singh

English Week 2 For Qualifier 2 (September Batch)

English week 3 for qualifier 2 (september batch), english week 1-4.

IITM BSc Computational Thinking

Course Book

Weeks (1-10), computational_thinking week1 to week12, computational thinking week 1.

by Likhita Varma

Computational Thinking Week 1 For Qualifier 2 (September Batch )

Week 2 september 2021, ct week 1-4 notes.

IITM BSc Statistics for Data Science-1

Weeks (8-9)

Statistics revision notes (weeks 1-12), statistics-1 notes w1-3, statistics-1 notes w4-6, statistics-1 w1 to w10, week 1 to 3 notes, week 1 to 3 quick revision notes, statistics-1 notes w7-8, stats 1 week 5 (pnc), stats 1 week 6 (pnc), week 5 & 6 pnc cheat sheet (short notes), stats 1 : week 4 short notes, stats-1 week 7 to 9, stats-1 week 10, statistics-1 notes w9, statistics-1 notes w10-11, statistics-1 notes w12, statistics-1 formula sheet, stats-1: week 7 notes(probability), stats-1 : week 8 notes (conditional probabilty), stats-1: week 9 notes (random variable), stats-1 : week 10 notes (discreterandom variable), statistics week 1 for qualifier 2 (september batch), statistics week 2 for qualifier 2 (september batch), statistics week 3 for qualifier 2 (september batch), week-4 september 2021, stats week 1-4 theory notes, stats week 1-4 notes, stats week 5-6 notes, stats formula for qualifier.

by Hetav Chauhan

STATS 1 (WEEK 7-11)

IITM BSc Mathematics for Data Science-1

Mathematics Revision Notes Weeks (1-12)

Maths-1notes w1-6, maths-1 notes w7-9, maths-1 notes w9-12, maths-1 w1 to w3, maths-1 week 7 to 9, maths week 1-4 :a look back, math-1 - week 2-6, week 1 september 2021, mathematics week 1 for qualifier 2 (september batch), mathematics 1 notes week 1-10, maths formula for qualifier, maths-2 week-1 by rohit gupta.

by Rohit Gupta

Maths-2 Week-2 by Rohit Gupta

Maths-2 week-3 rohit gupta.

End Term Question Papers

Quiz 1 / Qualifier Question Papers

Quiz 2 Question Papers

Quiz 3 Question Papers

Previous Graded and Practice Assignment

Copyright 2022 IITM BSc Student Community

Search code, repositories, users, issues, pull requests...

Provide feedback.

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly.

To see all available qualifiers, see our documentation .

• Notifications

Solutions to weekly practice and graded assignments, and Codechef Contests as part of the PDSA course from IITM BS Degree

vissuresh/PDSA_IITM

Folders and files, repository files navigation, pdsa_iitm (sept 2022 term).

17/09/2022 - Solutions to weekly practice and graded assignments, and Codechef Contests as part of the PDSA course from IITM BS Degree.

• Python 100.0%

Week 1 - Graded Assignment - Solution

Computational Thinking Support 2

• IIT Madras BSc Degree PYQ
• Qualifier Coaching

Graded Assignments

Our learners have the freedom to pace their studies according to their individual preferences and commitments. If You Have Any Doubt You Can Ask From PrimeGPT Its Free For Qualifiers This flexibility empowers them to balance their academic pursuits with other aspects of their lives effectively.

Why Study here?

The notes we provide are meticulously crafted by experienced professors and subject matter experts, encompassing the latest advancements and research in each discipline. These comprehensive and well-structured notes are designed to simplify complex concepts,

For learners at the Any Level, we provide a carefully curated set of PYQ papers from previous years' exams. These papers cover all the subjects taught during the Course of the program, such as Mathematics, CT, Statistics, and English.

Best Coaching

We will be providing Live Recorded Sessions + Notes for all + Doubt sessions for students who want to crack their IIT Madras qualifier exam easily. And Weekly Graded Assignments Solutions,

Testimonials

Contact Us!

• Announcements
• Ask a Question
• Explore Courses

Course outline

• About the course
• Introductory video
• Common Data - Datasets
• General Instructions
• L1.1: Introduction to datasets
• Quiz : AQ1.1: Activity Questions 1 - Not Graded
• L1.2: Concept of variables, iterators and filtering
• Quiz : AQ1.2: Activity Questions 2 - Not Graded
• Week 1 Tutorial for Lecture 2
• L1.3: Iterations using combination of filtering conditions
• Quiz : AQ1.3: Activity Questions 3 - Not Graded
• Week 1 Tutorial for Lecture 3
• L1.4: Introduction to flowcharts
• Quiz : AQ1.4: Activity Questions 4 - Not Graded
• L1.5: Flowchart for sum with filtering
• Quiz : AQ1.5: Activity Questions 5 - Not Graded
• Week 1 Tutorial for Lecture 5
• L1.6: Sanity of data
• Quiz : AQ1.6: Activity Questions 6 - Not Graded
• L1.7: Introduction to datatypes
• Quiz : AQ1.7: Activity Questions 7 - Not Graded
• L1.8: Subtypes of basic datatypes
• Quiz : AQ1.8: Activity Questions 8 - Not Graded
• L1.9: Transformation of sub-datatypes
• Quiz : AQ1.9: Activity Questions 9 - Not Graded
• L1.10: Introduction to complex datatypes
• Quiz : AQ1.10: Activity Questions 10 - Not Graded
• Quiz : Practice Assignment 1.1 - Not Graded
• Practice Assignment 1.1 - Solution
• Quiz : Practice Assignment 1.2 - Not Graded
• Practice Assignment 1.2 - Solution
• Quiz : Practice Assignment 1.3 - Not Graded
• Practice Assignment 1.3 - Solution
• Interact with Instructors - Week 1
• Quiz : Graded Assignment 1
• Feedback form for Week 1
• L2.1: Conditional termination in iteration
• Quiz : AQ2.1: Activity Questions 1 - Not Graded
• L2.2: Local operations and max in single iteration (Part 1)
• Quiz : AQ2.2: Activity Questions 2 - Not Graded
• Week 2 Tutorial 2.1
• L2.3: Local operations and max in single iteration (Part 2)
• Quiz : AQ2.3: Activity Questions 3 - Not Graded
• Week 2 Tutorial 2.2
• L2.4: Local operations and max in single iteration (Part 3)
• Quiz : AQ2.4: Activity Questions 4 - Not Graded
• Week 2 Tutorial 2.3
• L2.5: Local operations and max in single iteration (Part 4)
• Quiz : AQ2.5: Activity Questions 5 - Not Graded
• Week 2 Tutorial 2.4
• L2.6: Max in a single iteration and max in two iterations (non-nested)
• Quiz : AQ2.6: Activity Questions 6 - Not Graded
• Week 2 Tutorial 2.5
• L2.7: Max in a single iteration without losing information and applications of frequency count
• Quiz : AQ2.7: Activity Questions 7 - Not Graded
• Week 2 Tutorial 2.6
• Week 2 Tutorial 2.7
• L2.8: Flowchart for max marks
• Quiz : AQ2.8: Activity Questions 8 - Not Graded
• L2.9: Introduction to pseudocodes
• Quiz : AQ2.9: Activity Questions 9 - Not Graded
• L2.10: Pseudocode for iteration with filtering
• Quiz : AQ2.10: Activity Questions 10 - Not Graded
• Week 2 Tutorial 2.8
• Quiz : Practice Assignment 2.1 - Not Graded
• Practice Assignment 2.1 - Solution
• Quiz : Practice Assignment 2.2 - Not Graded
• Practice Assignment 2.2 - Solution
• Quiz : Practice Assignment 2.3- Not Graded
• Practice Assignment 2.3 - Solution
• Interact with Instructors - Week 2
• Quiz : Graded Assignment 2
• Feedback form for Week 2
• L3.1: Presentation of datasets in the form of a table
• Quiz : AQ3.1: Activity Question 1 - Not graded
• Week 3 Tutorial 3.1
• L3.2: Below average students in two iterations (non-nested) and grade allocation
• Quiz : AQ3.2: Activity Question 2 - Not graded
• Week 3 Tutorial 3.2
• L3.3: Systematic process of hypothesis verification to find the relation between word length and frequency
• Quiz : AQ3.3: Activity Question 3 - Not graded
• L3.4: Three prizes problem
• Quiz : AQ3.4: Activity Question 4 - Not graded
• L3.5: Introduction to procedures and parameters
• Quiz : AQ3.5: Activity Question 5 - Not graded
• L3.6: Pseudocode for procedures and parameters (Part 1)
• Quiz : AQ3.6: Activity Question 6 - Not graded
• L3.7: Pseudocode for procedures and parameters (Part 2)
• Quiz : AQ3.7: Activity Question 7 - Not graded
• Week 3 Tutorial 3.3
• L3.8: Pseudocode for three prizes problem
• Quiz : AQ3.8: Activity Question 8 - Not graded
• L3.9: Side effects of procedures
• Quiz : AQ3.9: Activity Question 9 - Not graded
• Quiz : Practice Assignment 3.1 - Not Graded
• Practice Assignment 3.1 - Solution
• Quiz : Practice Assignment 3.2 - Not graded
• Practice Assignment 3.2 - Solution
• Quiz : Practice Assignment 3.3-Not Graded
• Practice Assignment 3.3 - Solution
• Quiz : Graded Assignment -3
• Feedback form for Week 3
• Week 4 Tutorial 4.1
• L4.1: Concept of nested iterations using the birthday paradox (Naive approach)
• Quiz : AQ4.1: Activity Question 1 - Not graded
• L4.2: Concept of nested iterations using the birthday paradox (Using binning)
• Quiz : AQ4.2: Activity Question 2 - Not graded
• Week 4 Tutorial 4.2
• L4.3: Importance of binning to reduce number of comparisons in nested iterations
• Quiz : AQ4.3: Activity Question 3 - Not graded
• L4.4: Concept of binning to avoid the complexity of nested iterations
• Quiz : AQ4.4: Activity Question 4 - Not graded
• L4.5: Concept of fair teams
• Quiz : AQ4.5: Activity Question 5 - Not graded
• L4.6: Procedure to find same date of birth for different students
• Quiz : AQ4.6: Activity Question 6 - Not graded
• L4.7: Procedure to resolve pronoun with its equivalent matching noun
• Quiz : AQ4.7: Activity Question 7 - Not graded
• Week 4 Tutorial 4.3
• L4.8: Summary of contents introduced in week 1 to 4
• Quiz : Practice Assignment 4.1 - Not Graded
• Practice Assignment 4.1 - PDF Solution
• Quiz : Practice Assignment 4.2
• Practice Assignment 4.2 - Solution
• Interact with Instructors
• Quiz : Graded Assignment - 4
• Feedback form for Week 4
• Doubt solving session form for Quiz 1
• L5.1: Introduction to collections and list data structure
• Quiz : AQ5.1: Activity Question 1 - Not Graded
• L5.2: Pseudocode for lists
• Quiz : AQ5.2: Activity Question 2 - Not Graded
• L5.3: Operations on the data collected in three prizes problem using lists
• Quiz : AQ5.3: Activity Question 3 - Not Graded
• L5.4: Pseudocode for operations on the data collected in three prizes problem using lists
• Quiz : AQ5.4: Activity Question 4 - Not Graded
• L5.5: Insertion sort and ordered list
• Quiz : AQ5.5: Activity Question 5 - Not Graded
• L5.6: Pseudocode for insertion sort and ordered list
• Quiz : AQ5.6: Activity Question 6 - Not Graded
• L5.7: Systematic process of hypothesis verification to find relation between Mathematics and Physics marks using lists
• Quiz : AQ5.7: Activity Question 7 - Not Graded
• L5.8: Pseudocode for systematic process of hypothesis verification to find relation between Mathematics and Physics marks using lists
• Quiz : AQ5.8: Activity Question 8 - Not Graded
• Week 5 Tutorial on pseudocode for list functions
• Week 5 Tutorial on answering subpart pseudocode questions based on lists
• L5.9: Introduction to train dataset
• Quiz : AQ5.9: Activity Question 9 - Not Graded
• Quiz : Practice Assignment 5 - Not Graded
• Practice Assignment 5 - Solution
• Solve with Instructor - Slides
• Quiz : Graded Assignment 5
• Graded Assignment 5 - Solution
• Feedback form for week 5
• L6.1: Relations among customers based on their spending patterns (Part 1)
• Quiz : AQ6.1: Activity Question 1 - Not Graded
• L6.2: Relations among customers based on their spending patterns (Part 2)
• Quiz : AQ6.2: Activity Question 2 - Not Graded
• L6.3: Introduction to dictionary data structure
• Quiz : AQ6.3: Activity Question 3 - Not Graded
• L6.4: Concept of dictionary to solve birthday paradox problem
• Quiz : AQ6.4: Activity Question 4 - Not Graded
• L6.5: Resolve pronoun with its equivalent matching noun using dictionary and ordered lists
• Quiz : AQ6.5: Activity Question 5 - Not Graded
• L6.6: Pseudocode for dictionaries
• Quiz : AQ6.6: Activity Question 6 - Not Graded
• L6.7: Pseudocodes for real-time examples using dictionaries
• Quiz : AQ6.7: Activity Question 7 - Not Graded
• L6.8: Dictionary comparison to find common elements in them
• Quiz : AQ6.8: Activity Question 8 - Not Graded
• L6.9: Procedure to find relations among customers based on their spending patterns
• Quiz : AQ6.9: Activity Question 9 - Not Graded
• L6.10: Side effects in pseudocodes for lists and dictionaries
• Quiz : AQ6.10: Activity Question 10 - Not Graded
• Quiz : Practice Assignment 6 - Not Graded
• Practice Assignment 6 - Solution
• Quiz : Graded Assignment 6
• Feedback form for Week 6
• L7.1: Introduction to graph data structure
• Quiz : AQ7.1: Activity Question 1 - Not Graded
• L7.2: Introduction to matrices and implementation of matrix using nested dictionary
• Quiz : AQ7.2: Activity Question 2 - Not Graded
• L7.3: Undirected graph and cliques
• Quiz : AQ 7.3: Activity Question 3 - Not Graded
• L7.4: Concept of popular students using graph
• Quiz : AQ7.4: Activity Question 4 - Not Graded
• L7.5: Pseudocodes for real-time examples using graphs
• Quiz : AQ7.5: Activity Question 5 - Not Graded
• L7.6: Concept of connected graph to represent the relationship between different nouns in a paragraph
• Quiz : AQ7.6: Activity Question 6 - Not Graded
• L7.7: Represent direct trains using a graph and find a route using multiple hops
• Quiz : AQ7.7: Activity Question 7 - Not Graded
• Quiz : Practice Assignment 7 - Not Graded
• Practice assignment 7 - Solution
• Quiz : Graded Assignment 7
• Feedback for Week 7
• L8.1: Representation of a graph as an adjacency matrix to find shortest distance and time
• Quiz : AQ8.1: Activity Question 1 - Not Graded
• L8.2: Construction of a graph where trains are nodes and stations are edges
• Quiz : AQ8.2: Activity Question 2 - Not Graded
• L8.3: Pseudocodes for finding a route between two stations using no hops, one hop, two hops and n hops
• Quiz : AQ8.3: Activity Question 3 - Not Graded
• L8.4: Pseudocode for edge labelled graph
• Quiz : AQ8.4: Activity Question 4 - Not Graded
• Quiz : Practice assignment 8 - Non Graded
• Practice Assignment 8 - Solution
• Quiz : Graded Assignment 8
• Feedback for Week 8
• L9.1: Depth First Search (DFS) and recursive procedure call (Part 1)
• Quiz : AQ9.1: Activity Questions 1 - Not Graded
• L9.2: Depth First Search (DFS) and recursive procedure call (Part 2)
• Quiz : AQ9.2: Activity Questions 2 - Not Graded
• L9.3: Depth First Search (DFS) and recursive procedure call (Part 3)
• Quiz : AQ9.3: Activity Questions 3 - Not Graded
• L9.4: Depth First Search (DFS) and recursive procedure call (Part 4)
• Quiz : AQ9.4: Activity Questions 4 - Not Graded
• L9.5: Pseudocode for recursion
• Quiz : AQ9.5: Activity Questions 5 - Not Graded
• L9.6: Pseudocode for Depth First Search (DFS) and recursive procedure call
• Quiz : AQ9.6: Activity Questions 6 - Not Graded
• Quiz : Practice Assignment 9 - Not Graded
• Practice Assignment - 9 - Solution
• Quiz : Graded Assignment 9
• Concept of encapsulation and object
• Quiz : AQ10.1: Activity Questions 1 - Not Graded
• Concept of class and its instance called object
• Quiz : AQ10.2: Activity Questions 2 - Not Graded
• Concept of abstraction
• Quiz : AQ10.3: Activity Questions 3 - Not Graded
• Applications of encapsulation, abstraction, class and object (Part 1)
• Quiz : AQ10.4: Activity Questions 4 - Not Graded
• Applications of encapsulation, abstraction, class and object (Part 2)
• Quiz : AQ10.5: Activity Questions 5 - Not Graded
• Decomposition of the study group problem to incorporate encapsulation and abstraction
• Quiz : AQ10.6: Activity Questions 6 - Not Graded
• Formalized notations and summary of encapsulation
• Quiz : AQ10.7: Activity Questions 7 - Not Graded
• Quiz : Practice Assignment 10 - Not Graded
• Practice Assignment 10 - Solution
• Quiz : Graded Assignment 10
• Concept of message passing using Remote Procedure Call (RPC)
• Quiz : AQ11.1: Activity Question 1 - Not Graded
• Concept of concurrent execution using polling and preemption
• Quiz : AQ11.2: Activity Question 2 - Not Graded
• Producer - Consumer problem
• Quiz : AQ11.3: Activity Question 3 - Not Graded
• Real time applications of concurrency and drawbacks of the same
• Quiz : AQ11.4: Activity Question 4 - Not Graded
• Applications of concurrency to speedup the execution process
• Concept of message broadcasting
• Quiz : AQ11.6: Activity Question 6 - Not Graded
• Concurrency involved in input/output operations
• Quiz : AQ11.7: Activity Question 7 - Not Graded
• Formalized notations and summary of concurrency
• Quiz : AQ11.8: Activity Question 8 - Not Graded
• Quiz : Practice Assignment 11 - Not Graded
• Practice assignment - PDF Solution
• Quiz : Graded Assignment 11
• Tutorial 12.1:Tutorial on pseudocode for fundamentals of programming
• Tutorial 12.2:Tutorial on pseudocode for lists and dictionaries
• Tutorial 12.3:Tutorial on pseudocode for graph, adjacency matrix and dictionary for graph/adjacency matrix
• Tutorial 12.4:Tutorial on pseudocode for recursion and Depth First Search (DFS)
• Lecture 12.5:Summary of contents introduced in this course
• Lecture PPTs/Slides
• Lecture Transcripts
• Week Summaries
• Solve with Instructor Sessions
• Live Session - YouTube Links
• Graded Assignment - Solutions
• Revision slides for Week 4,5 and 6 Quiz 2.
• Graphs and Matrices
• Quiz : Mock test 1
• Mock test 1 - Solution
• Quiz : Practice for mock-2
• Mock test 2 - solutions
• Quiz : Mock test 3
• Mock test 3 -Solutions
• Feedback for quiz 1
• Quiz 1 - Question Paper and Answer key - 10/10/2021
• Quiz 1 - Question Paper and Answer key - 10/10/2021(Detailed Soluitons)
• Quiz : Timed Mock test 2 (Quiz 2)
• Timed Mock 2 - solution
• Quiz 2 - Feedback
• Quiz 2 - Question Paper and Answer key - 31/10/2021
• Quiz 2 - Question Paper and Answer key - 31/10/2021(Detailed Soluitons)
• Quiz : Mock for Quiz 3
• Mock for Quiz 3 - Solutions
• Quiz 3 - Feedback
• Quiz 3 - Question Paper and Answer key - 21/11/2021
• Quiz : Timed Mock test 3
• Timed Mock 3- Detailed Solution
• Quiz : End term Mock test 2
• End sem Timed Mock 2- Detailed Solution
• Quiz 3 - Question Paper and Answer key - 21/11/2021 (Detailed Solutions)
• End Term - Feedback
• End Term - Question Paper and Answer key - 12/12/2021

End Term - QP, Answer Key & Feedback Form

Dear Learner, We have released the Question Paper, Answer key & Feedback form of end term under Mock Unit. Regards, IITM - BSc Degree Team

Mock Scheduled - 05-12-2021

Dear All, There will be a timed mock test planned today. The test will be available in the form of an assignment inside all the courses. (Under the Mock tests and Quizzes Unit as Timed Mock Test 3). The link will open and assignment will be available at 06:00 P.M sharp and accept submission till 07:00 P.M. This is only for Practice and this will not be considered for Grading. Best regards, IITM - BSc Degree Team.

Quiz 3 - QP, Answer Key & Feedback Form

Dear Learner, We have released the Question Paper, Answer key & Feedback form of Quiz 3 under Mock Unit. Regards, IITM - BSc Degree Team

Week 11 Graded Assignment Deadline Extension

Dear students, We are extending the week 11 graded assignment deadline to 27th November at 12.00 AM. Regards, IITM Bsc Degree team

Week 12 Content release

We have released Week 11 contents. This includes the following:

1. Video lectures

2. Tutorial lectures

We request you to kindly follow the following tips to establish an effective teaching-learning process. 

Please watch all videos before attempting the assignment questions.

Even though our whole team is always ready to help you, we would strongly recommend that you try to work out all assignment questions on your own so as to develop the skill and speed of problem-solving.

Even though we are providing the solution pdf of practice assignment, please do not go through it until you have attempted all questions on your own to your satisfaction.

Discourse Forums:

Before posting your queries on the forum, please ensure that you have tried to work out the questions at least 3 or 4 times at different points of time and after watching the videos at least twice. 

Before posting your queries on the forum, please do a search in the forum to see if your question has been answered before. This will enable us to address diverse questions rather than going over the same question and similar post again and again. 

The questions are being tagged/labelled to enable easier search for the students. For instance, if you filter by label activity questions, you will see all queries regarding activity questions which have been tagged in the forum. You can see if your questions have been answered in the forum earlier, before posting your own question.

While posting your query, please post your working also, so that we can give you hints as to why your answer or approach is wrong. This is a better learning process than obtaining the full solution in a single go. 

As far as possible, we will release an FAQ document every week on the most frequently asked questions on the forum and/or live sessions. Please go through this document to get answers to the most asked questions. 

Best regards,

IITM - BSc Degree Team.

Week 11 Content release

3. Practice assignment

4. Graded assignment

Feedback for Quiz 2

Dear Learner, We have updated the feedback form for Quiz 2 in the Mock Unit. Please submit the feedback form. Regards, IITM - BSc Degree Team

Week 10 Content Release

We have released Week 10 contents. This includes the following:

3. Activity questions for each lecture

4. Practice assignment

5. Graded assignment

6. Transcripts

Weekly Feedback for Week-8

We have uploaded weekly feedback gfrom under week-8. Please give your feedback in the form.

Week 9 Content Release

We have released Week 9 contents. This includes the following:

Assignment Feedback for Week 7

Dear All, We have uploaded assignment feedback gfrom under week-7. Form will close on 30/10/2021 at 23:59 hrs. Please give your feedback in the form. Best regards, IITM - BSc Degree Team.

Weekly Feedback for Week-7

We have uploaded weekly feedback gfrom under week-7. Please give your feedback in the form.

Week 7 Content Release

We have released Week 7 contents. This includes the following:

Feedback for Quiz 1

Dear Learner, We have updated the feedback form for Quiz 1 in the Mock Unit. Please submit the feedback form. Regards, IITM - BSc Degree Team

Qualifier - Question Paper and Answer key

Dear Learner, We have released the Question Paper and Answer key of Qualifier under Mock Unit. Regards, IITM - BSc Degree Team

Week 5 Assignment Extended

Dear Learner, We have extended the Week 5 Assignment deadline to 15/10/2021 & the deadline for Week 6 remains the same. Regards, IITM - BSc Degree Team

Week 1 Content release

We have released Week 1 contents. This includes the following:

Error Proceeding to NEXT page

If you wish to avail fee waiver based on family income, category selected should be SC / ST / OBC-NCL / EWS. If you do not wish to avail fee waiver based on family income, please select family income as “> 5 lakhs per annum / not applicable for fee waiver based on family income”

Sign-in using the Google account you registered with to access your application or course dashboard.

Registered learners who have been provided with a student email ID, which is google enabled, should sign-in using their student email ID.

Latest Updates / Announcements

Testimonials from our learners.

I just want to let you know that IITM and its team is doing an amazing job running this program. I'm really lucky to be enrolled into this program. I have never ever received replies for any emails within one day from other universities. I know how difficultit is to reply to a lot of emails. Not only that, right from the program design and course content, every minute things are well planned and carried out. Hats off to your team. Thank you for your support and guidance.

S Nithish Kumar

I would like to thank the whole team of IITM Online Degree for coming up with the concept of solving questions with the professors. It has not only helped me in improving my performance drastically in graded assignments, but also it plays a relevant role in making the concepts more clear. Though because of my college schedule I am not able to attend all the live sessions, its recorded form is proving to be very effective for me. A special mention for Prof.Andrew Thangaraj - his tips on problem solving are really helpful. Once again thank you very much for understanding the requirements of the students.

Parth Shukla

I want to thank the team of IIT Madras who are making this Degree happen for us. I am one of those students who had to face many financial and health issues in the early part of their lives. And studying in IIT is only a dream for students like us. However, this degree program (while maintaining the standard of IIT) has given us a chance to grow and improve in our lives. Also, I have personally checked many online programs by many Institutes and Universities - however, none of them is so inspiring, innovative and challenging (at the same time). It's such a great initiative of IIT Madras. I can't thank you enough and all the people who are involved in making it happen. I want to specially thanks Prof. Andrew and Prof. Pratap for clarifying all our doubts and also the professors and course support team - without which I could have never qualified this process.

Yash Raj Karthikey

My name is Akriti Vishwas, I come from Lakhimpur Kheri, Uttar Pradesh. I came across this online degree program on the internet. I just completed my 12th standard and was enrolled in a bachelor degree in Hansraj College of Delhi University pursuing physics honours. Apart from my degree I wanted to explore something new. This program from such an esteemed institution like IIT MADRAS seemed exciting to me. The unique program captured my attention and I enrolled for the qualifier level. The ever increasing career opportunities in data science also contributed in a positive way. After taking the classes from such qualified faculty, my interest in the program grew. The unique pedagogy used by the teachers is what I found most engaging. The dedicated support team also helped many learners like me at all times if we faced any difficulties. Now, after qualifying the first level and being a student of the foundational level, I am looking forward to this course and learning in a unique and first of its kind way.

Akriti Vishwas

This is Satej. I want to just like appreciate the IIT team. They are doing a fabulous job. Even though we haven't met, it doesn't like that due to amazing interaction and course planning of Bsc course of IIT Madras. They are managing at such a level without disturbing the standard of IIT. Hats off to the team at IIT Madras. Feeling proud to be a part of such a great program.

Satej Sunil Zunjarrao