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<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">PAS: Probability and Statistics (July-Dec 2025) </a></h3>
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<li> For study material, please see PAS: Probability and Statistics (July-December 2021) </li>
<!--<li> The C2 review test will be held on 21 April, 2021. </li>-->
<!--<li> Lecture 1 and Lecture 2 are uploaded. </li>
<li> Problem Set-1 is uploaded. </li>
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<!--<li> <a href="./PAS_syllabus_22.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>-->
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<li> <a href="./PAS/z_table.pdf" target="_blank"><strong>z-table</strong> </a> </li>
<li><strong>Question Papers and Answer Keys</strong></li>
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<!--<li> Mid Sem Exam: <a href="./midsem.pdf" target="_blank"> Marking Scheme </a></li>-->
<li> End Sem Exam: <a href="./endsem_MS.pdf" target="_blank"> Marking Scheme </a></li>
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<li><strong>Marks</strong></li>
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<li> <a href="./quiz1marks.php" target="_blank"> End Sem Marks</a> </li>
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<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">OR: Operations Research (Jan-June 2025) </a></h3>
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<!--<li> For study material, please see PAS: Probability and Statistics (July-December 2021) </li>-->
<!--<li> The C2 review test will be held on 21 April, 2021. </li>-->
<!--<li> Lecture 1 and Lecture 2 are uploaded. </li>
<li> Problem Set-1 is uploaded. </li>
<li> Batch-Distriburion is uploaded. </li>
<li> Lecture notes upto Lecture 6 are uploaded. </li> -->
<!--<strong>Introductory Class: </strong>The class will be scheduled in the evening.-->
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<li> <a href="./OR_syllabus.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<!--<li> <a href="./LT_schedule.pdf" target="_blank"><strong>Lectures and Tutorial Schedule</strong> </a> </li>
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<!--<li> Mid Sem Exam: <a href="./midsem.pdf" target="_blank"> Marking Scheme </a></li>-->
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<!--<li> <a href="./quiz1marks.php" target="_blank"> END SEM MARKS</a> </li>-->
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<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">PNS: Probability and Statistics (July-Dec 2024) </a></h3>
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<li> For study material, please see PAS: Probability and Statistics (July-December 2021) </li>
<!--<li> The C2 review test will be held on 21 April, 2021. </li>-->
<!--<li> Lecture 1 and Lecture 2 are uploaded. </li>
<li> Problem Set-1 is uploaded. </li>
<li> Batch-Distriburion is uploaded. </li>
<li> Lecture notes upto Lecture 6 are uploaded. </li> -->
<!--<strong>Introductory Class: </strong>The class will be scheduled in the evening.-->
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<li> <a href="./PAS_syllabus_22.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<!--<li> <a href="./LT_schedule.pdf" target="_blank"><strong>Lectures and Tutorial Schedule</strong> </a> </li>
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<li> <a href="./PAS/z_table.pdf" target="_blank"><strong>z-table</strong> </a> </li>
<li><strong>Question Papers and Answer Keys</strong></li>
<ul>
<!--<li> Mid Sem Exam: <a href="./midsem.pdf" target="_blank"> Marking Scheme </a></li>-->
<li> Back Paper: <a href="./Back_MS.pdf" target="_blank"> Marking Scheme </a></li>
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<li><strong>Marks</strong></li>
<ul>
<li> <a href="./quiz1marks.php" target="_blank"> MIDSEM Marks</a> </li>
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<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">PAS: Probability and Statistics (July-Dec 2023) </a></h3>
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<li> For study material, please see PAS: Prabability and Statistics (July-December 2021) </li>
<!--<li> The C2 review test will be held on 21 April, 2021. </li>-->
<!--<li> Lecture 1 and Lecture 2 are uploaded. </li>
<li> Problem Set-1 is uploaded. </li>
<li> Batch-Distriburion is uploaded. </li>
<li> Lecture notes upto Lecture 6 are uploaded. </li> -->
<!--<strong>Introductory Class: </strong>The class will be scheduled in the evening.-->
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<li> <a href="./PAS_syllabus_22.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<li> <a href="./LT_schedule.pdf" target="_blank"><strong>Lectures and Tutorial Schedule</strong> </a> </li>
<li> <a href="./seating plan.pdf" target="_blank"><strong>Seating Plan</strong> </a> </li>
<li> <a href="./PAS/z_table.pdf" target="_blank"><strong>z-table</strong> </a> </li>
<li><strong>Question Papers and Answer Keys</strong></li>
<ul>
<li> C3 Review Test: <a href="./C3RTMS.pdf" target="_blank"> Marking Scheme </a></li>
<!--<li> C3 Review Test: <a href="./C3_RT_MS_2022.pdf" target="_blank"> Marking Scheme </a></li>-->
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<li><strong>Marks</strong></li>
<ul>
<li> <a href="./C3_marks_2023.php" target="_blank"> C3 Review Test Marks</a> </li>
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</ul>
</ul>
<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">DSF14211: Statistical Foundations for Data Science(January-June 2022) </a></h3>
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<!--<li> The Quiz 2 will be held on 06 April, 2021. </li>
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<li> Lecture notes upto Lecture 6 are uploaded. </li> -->
<!--<strong>Introductory Class: </strong>The class will be scheduled in the evening.-->
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<li> <a href="./DSF/DSF_syllabus.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<li> <a href="./DSF/time_table.pdf" target="_blank"><strong>Time-Table</strong> </a> </li>
<li> <a href="./assessment_plan_DSF.pdf" target="_blank"><strong>Tentative Assessment Plan</strong> </a> </li>
<li> <a href="./PAS/z_table.pdf" target="_blank"><strong>z-table</strong> </a> </li>
</br>
<li><strong>Lecture Notes</strong></li>
<ul>
<li> Prerequisites: <a href="./Lecture_0.pdf" target="_blank"> Lecture 0</a> </li>
<li> Probability: <a href="./Lecture_1.pdf" target="_blank"> Lecture 1</a> </li>
<li> Conditional Probability: <a href="./lecture_2.pdf" target="_blank"> Lecture 2</a> </li>
<li> Random Variables: <a href="./Lecture 3.pdf" target="_blank"> Lecture 3</a> </li>
<li> Types of Random Variables: <a href="./Lecture 4.pdf" target="_blank"> Lecture 4</a> </li>
<li> Function of Random Variables: <a href="./Lecture_5.pdf" target="_blank"> Lecture 5</a> </li>
<li> Expectation: <a href="./Lecture_6.pdf" target="_blank"> Lecture 6</a> </li>
<li> Moment Generating Function:<a href="./Lecture_7.pdf" target="_blank"> Lecture 7</a> </li>
<li> Discrete Probability Distributions I:<a href="./Lecture_8.pdf" target="_blank"> Lecture 8</a> </li>
<li> Discrete Probability Distributions II:<a href="./Lecture_9.pdf" target="_blank"> Lecture 9</a> </li>
<li> Discrete Probability Distributions III:<a href="./Lecture_10.pdf" target="_blank"> Lecture 10</a> </li>
<li> Continuous Probability Distributions I:<a href="./Lecture_11.pdf" target="_blank"> Lecture 11</a> </li>
<li> Continuous Probability Distributions II:<a href="./Lecture_12.pdf" target="_blank"> Lecture 12</a> </li>
<li> Random vector:<a href="./Lecture_13.pdf" target="_blank"> Lecture 13</a> </li>
<li> Types of Random Vector:<a href="./Lecture_14.pdf" target="_blank"> Lecture 14</a> </li>
<li> Conditional Distribution and Independent Random Variables:<a href="./Lecture_15.pdf" target="_blank"> Lecture 15</a> </li>
<li> Conditional Expectation and Variance:<a href="./Lecture_16.pdf" target="_blank"> Lecture 16</a> </li>
<li> Covariance and Correlation:<a href="./Lecture_17.pdf" target="_blank"> Lecture 17</a> </li>
<li> Linear Regression:<a href="./Lecture_18.pdf" target="_blank"> Lecture 18</a> </li>
<li> Law of Large Numbers and CLT:<a href="./Lecture_19.pdf" target="_blank"> Lecture 19</a> </li>
<li> Point Estimation:<a href="./Lecture_20.pdf" target="_blank"> Lecture 20</a> </li>
<li> Testing of Hypotheses:<a href="./Lecture_21.pdf" target="_blank"> Lecture 21</a> </li>
</ul>
<li><strong>Tutorial Sheets</strong></li>
<ul>
<li> Probability: <a href="./PS_I.pdf" target="_blank"> Problem Set I</a> </li>
<li> Random Variables: <a href="./PS_II.pdf" target="_blank"> Problem Set II</a> </li>
<li> Discrete and Continuous Probability Distributions: <a href="./PS_III.pdf" target="_blank"> Problem Set III</a> </li>
<li> Random Vector: <a href="./PS_IV.pdf" target="_blank"> Problem Set IV</a> </li>
<li> WLLN and CLT: <a href="./PS_V.pdf" target="_blank"> Problem Set V</a> </li>
</ul>
<li><strong>Practice Sets</strong></li>
<ul>
<li> Probability: <a href="./practice_1.pdf" target="_blank"> Practice Set I</a> </li>
<li> Random Variables: <a href="./practice_2.pdf" target="_blank"> Practice Set II</a> </li>
</ul>
<li><strong>Practical Sheets</strong></li>
<ul>
<li> Graphical Representation of Data: <a href="./Practical_1.pdf" target="_blank"> Practical I</a> </li>
<li> Descriptive Statistics: <a href="./Practical_2.pdf" target="_blank"> Practical II</a> </li>
<li> Discrete and Continuous Probability Disitrbutions: <a href="./Practical_3.pdf" target="_blank"> Practical III</a> </li>
</ul>
<li><strong>R Codes</strong></li>
<ul>
<li> Practical I: <a href="./R_1.pdf" target="_blank"> R Code </a> </li>
<li>Practical III:<a href="./R_3.pdf" target="_blank"> R Code </a> </li>
</ul>
<li><strong>Question Papers and Answer Keys</strong></li>
<ul>
<li> C1 Review Test: <a href="./c1rtms.pdf" target="_blank"> Marking Scheme </a></li>
</ul>
<li><strong>Marks</strong></li>
<ul>
<li> <a href="./c1rt.php" target="_blank"> C1 Review Test </a> </li>
</ul>
</ul>
</ul>
</ul>
<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">PAS: Probability and Statistics (July-December 2021) </a></h3>
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<h2><strong>Announcements</strong></h2>
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</div>
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<li> <a href="./PAS/PAS_Syllabus.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<li> <a href="./PAS/Lecture_Schedule.pdf" target="_blank"><strong>Lecture and Tutorial Schedule</strong> </a> </li>
<li> <a href="./PAS/assessment.pdf" target="_blank"><strong>Tentative Assessment Plan</strong> </a> </li>
<li> <a href="./PAS/z_table.pdf" target="_blank"><strong>z-table</strong> </a> </li>
</li>
</br>
<li><strong>Lecture Notes</strong></li>
<ul>
<li> Probability: <a href="./PAS/Lecture_1.pdf" target="_blank"> Lecture 1</a> </li>
<li> Conditional Probability: <a href="./PAS/Lecture_2.pdf" target="_blank"> Lecture 2</a> </li>
<li> Random Variables: <a href="./PAS/Lecture_3.pdf" target="_blank"> Lecture 3</a> </li>
<li> Types of Random Variables: <a href="./PAS/Lecture_4.pdf" target="_blank"> Lecture 4</a> </li>
<li> Function of Random Variables: <a href="./PAS/Lecture_5.pdf" target="_blank"> Lecture 5</a> </li>
<li> Expectation: <a href="./PAS/Lecture_6.pdf" target="_blank"> Lecture 6</a> </li>
<li> Moment Generating Function:<a href="./PAS/Lecture_7.pdf" target="_blank"> Lecture 7</a> </li>
<li> Discrete Probability Distributions I:<a href="./PAS/Lecture_8.pdf" target="_blank"> Lecture 8</a> </li>
<li> Discrete Probability Distributions II:<a href="./PAS/Lecture_9.pdf" target="_blank"> Lecture 9</a> </li>
<li> Discrete Probability Distributions III:<a href="./PAS/Lecture_10.pdf" target="_blank"> Lecture 10</a> </li>
<li> Continuous Probability Distributions I:<a href="./PAS/Lecture_11.pdf" target="_blank"> Lecture 11</a> </li>
<li> Continuous Probability Distributions II:<a href="./PAS/Lecture_12.pdf" target="_blank"> Lecture 12</a> </li>
<li> Random vector:<a href="./PAS/Lecture_13.pdf" target="_blank"> Lecture 13</a> </li>
<li> Types of Random Vector:<a href="./PAS/Lecture_14.pdf" target="_blank"> Lecture 14</a> </li>
<li> Conditional Distribution and Independent Random Variables:<a href="./PAS/Lecture_15.pdf" target="_blank"> Lecture 15</a> </li>
<li> Moments, Covariance and Correlation Coefficient:<a href="./PAS/Lecture_16.pdf" target="_blank"> Lecture 16</a> </li>
<li> Conditional Expectation and Variance:<a href="./PAS/Lecture_17.pdf" target="_blank"> Lecture 17</a> </li>
<li> Joint Moment Generating Function:<a href="./PAS/Lecture_18.pdf" target="_blank"> Lecture 18</a> </li>
<li> Function of Several Random Variables:<a href="./PAS/Lecture_19.pdf" target="_blank"> Lecture 19</a> </li>
<li> Law of Large Numbers and CLT:<a href="./PAS/Lecture_20.pdf" target="_blank"> Lecture 20</a> </li>
<li> Point Estimation:<a href="./PAS/Lecture_21.pdf" target="_blank"> Lecture 21</a> </li>
<li> Methods of Estimation:<a href="./PAS/Lecture_22.pdf" target="_blank"> Lecture 22</a> </li>
<li> Testing of Hypotheses:<a href="./PAS/Lecture_23.pdf" target="_blank"> Lecture 23</a> </li>
<li> Interval Estimation:<a href="./PAS/Lecture_24.pdf" target="_blank"> Lecture 24</a> </li>
<li> Linear Regression:<a href="./PAS/Lecture_25.pdf" target="_blank"> Lecture 25</a> </li>
</ul>
<li><strong>Tutorial Sheets</strong></li>
<ul>
<li> Probability: <a href="./PAS/PS_I.pdf" target="_blank"> Problem Set I</a> </li>
<li> Random Variables: <a href="./PS_II.pdf" target="_blank"> Problem Set II</a> </li>
<li> Discrete and Continuous Probability Distributions: <a href="./PS_III.pdf" target="_blank"> Problem Set III</a> </li>
<li> Random Vector: <a href="./PS_IV.pdf" target="_blank"> Problem Set IV</a> </li>
<li> WLLN and CLT: <a href="./PS_V.pdf" target="_blank"> Problem Set V</a> </li>
</ul>
</li>
<!--<li><strong>Question Papers and Answer Keys</strong></li>
<ul>
<li> C2 Review Test: <a href="./C2_RT_MS.pdf" target="_blank"> Marking Scheme </a></li>
</ul>
<li><strong>Marks</strong></li>
<ul>
<li> <a href="./c2_marks.php" target="_blank"> C2 Marks</a> </li>
</ul>-->
</ul>
</ul>
</ul>
<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">DSF14211: Statistical Foundations for Data Science(January-June 2021) </a></h3>
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<div class="alert alert-info">
<li> The Quiz 2 will be held on 06 April, 2021. </li>
<li> The C2 review test will be held on 21 April, 2021. </li>
<!--<li> Lecture 1 and Lecture 2 are uploaded. </li>
<li> Problem Set-1 is uploaded. </li>
<li> Batch-Distriburion is uploaded. </li>
<li> Lecture notes upto Lecture 6 are uploaded. </li> -->
<!--<strong>Introductory Class: </strong>The class will be scheduled in the evening.-->
</div>
</div>
<li> <a href="./DSF/DSF_syllabus.pdf" target="_blank"><strong>Syllabus</strong> </a> </li>
<li> <a href="./DSF/time_table.pdf" target="_blank"><strong>Time-Table</strong> </a> </li>
</br>
<!--<li><strong>Lecture Notes</strong></li>-->
<!--<ul>
<li> Prerequisites: <a href="./Lecture_0.pdf" target="_blank"> Lecture 0</a> </li>
<li> Probability: <a href="./Lecture_1.pdf" target="_blank"> Lecture 1</a> </li>
<li> Conditional Probability: <a href="./lecture_2.pdf" target="_blank"> Lecture 2</a> </li>
<li> Random Variables: <a href="./Lecture_3.pdf" target="_blank"> Lecture 3</a> </li>
<li> Types of Random Variables: <a href="./Lecture_4.pdf" target="_blank"> Lecture 4</a> </li>
<li> Function of Random Variables: <a href="./Lecture_5.pdf" target="_blank"> Lecture 5</a> </li>
<li> Expectation: <a href="./Lecture_6.pdf" target="_blank"> Lecture 6</a> </li>
<li> Moment Generating Function:<a href="./Lecture_7.pdf" target="_blank"> Lecture 7</a> </li>
<li> Discrete Probability Distributions I:<a href="./Lecture_8.pdf" target="_blank"> Lecture 8</a> </li>
<li> Discrete Probability Distributions II:<a href="./Lecture_9.pdf" target="_blank"> Lecture 9</a> </li>
<li> Discrete Probability Distributions III:<a href="./Lecture_10.pdf" target="_blank"> Lecture 10</a> </li>
<li> Continuous Probability Distributions I:<a href="./Lecture_11.pdf" target="_blank"> Lecture 11</a> </li>
<li> Continuous Probability Distributions II:<a href="./Lecture_12.pdf" target="_blank"> Lecture 12</a> </li>
<li> Random vector:<a href="./Lecture_13.pdf" target="_blank"> Lecture 13</a> </li>
<li> Types of Random Vector:<a href="./Lecture_14.pdf" target="_blank"> Lecture 14</a> </li>
<li> Conditional Distribution and Independent Random Variables:<a href="./Lecture_15.pdf" target="_blank"> Lecture 15</a> </li>
<li> Conditional Expectation and Variance:<a href="./Lecture_16.pdf" target="_blank"> Lecture 16</a> </li>
<li> Covariance and Correlation:<a href="./Lecture_17.pdf" target="_blank"> Lecture 17</a> </li>
<li> Law of Large Numbers and CLT:<a href="./Lecture_18.pdf" target="_blank"> Lecture 18</a> </li>
<li> Point Estimation:<a href="./Lecture_19.pdf" target="_blank"> Lecture 19</a> </li>
<li> Testing of Hypotheses:<a href="./Lecture_20.pdf" target="_blank"> Lecture 20</a> </li>
</ul>
<li><strong>Tutorial Sheets</strong></li>
<ul>
<li> Probability: <a href="./PS_I.pdf" target="_blank"> Problem Set I</a> </li>
<li> Random Variables: <a href="./PS_II.pdf" target="_blank"> Problem Set II</a> </li>
<li> Discrete and Continuous Probability Distributions: <a href="./PS_III.pdf" target="_blank"> Problem Set III</a> </li>
<li> Random Vector: <a href="./PS_IV.pdf" target="_blank"> Problem Set IV</a> </li>
<li> WLLN and CLT: <a href="./PS_V.pdf" target="_blank"> Problem Set V</a> </li>
<!--<li> Probability: <a href="./Lecture_1.pdf" target="_blank"> Lecture 1</a> </li>
</ul>
<li><strong>Practice Sets</strong></li>
<ul>
<li> Probability: <a href="./practice_1.pdf" target="_blank"> Practice Set I</a> </li>
<li> Random Variables: <a href="./practice_2.pdf" target="_blank"> Practice Set II</a> </li>
</ul>
<li><strong>Practical Sheets</strong></li>
<ul>
<li> Graphical Representation of Data: <a href="./Practical_1.pdf" target="_blank"> Practical I</a> </li>
<li> Descriptive Statistics: <a href="./Practical_2.pdf" target="_blank"> Practical II</a> </li>
</ul>
<li><strong>R Codes</strong></li>
<ul>
<li> Practical I: <a href="./R_1.pdf" target="_blank"> R Code </a> </li>
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<li> C1 Review Test: <a href="./C1RTMS.pdf" target="_blank"> Marking Scheme </a></li>
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<h3 class="toggler-37"><a href="javascript:void(0)" style="color: black;">LAL: Linear Algebra (July - December 2020) </a></h3>
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