SUBHANKAR MISHRA

ଶୁଭଙ୍କର ମିଶ୍ର

Assistant Professor in School of Computer Sciences (CSS), NISER
smishra@niser.ac.in | +916742494460 | Bhubaneswar, Odisha, India - 752050
Machine Learning & Privacy
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CS601 - Research Methodology

Syllabus

Grading Scheme

• Utkal University
• Assignments/Midterm - 30 marks
• End Term - 70 marks

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Lectures

• Lecture 1 - Latex
Assignment 1,2,3
• Lecture 2 - Introduction
• Lecture 3 - Research Process
• Lecture 4 - Good Research and Problems
• Lecture 5 - Defining the Research Problem
Assignment 4
• Lecture 6 - Research Design
• Lecture 7 - Installing R, RStudio
• Lecture 8 - Github - Basics
• Lecture 9 - R Data is a vector
Assignment 5.1 (Problem 2)
• Lecture 10 - Univariate Data - Categorical
• Lecture 11 - Univariate Data - Numerical
Assignment 5.2 (Problem 3)
• Lecture 12 - Bivariate Data - categorical vs. numerical
• Lecture 13 - Bivariate Data - numerical vs. numerical
• Lecture 14 - Bivariate Data - linear regression
Assignment 5.3 (Problem 4)
• Lecture 15 - Multivariate data
• Lecture 16 - Multivariate data - R Formula
Assignment 5.4 (Problem 5)
• Lecture 17 - Random Data
Assignment 5.5 (Problem 6)
• Lecture 18 - Simulations (Central Limit Theorem)
Assignment 5.6 (Problem 7)
• Lecture 19 - Confidence Interval Estimation
• Lecture 20 - z-test
• Lecture 21 - t-test
Assignment 5.7 (Problem 9)
• Lecture 22 - Hypothesis Testing
Assignment 5.8 (Problem 10)
• Lecture 23 - Two Sample Tests
Assignment 5.9 (Problem 11)
• Lecture 24 - Chi Square Tests
Assignment 5.10 (Problem 12)
• Lecture 25 - Regression Analysis
• Lecture 26 - Regression Analysis - Inference
Assignment 5.12 (Problem 13)
• Lecture 27 - Multiple Linear Regression
Assignment 5.13 (Problem 14)
• Lecture 28 - Analysis of Variance
Assignment 5.14 (Problem 15)
• Lecture 29 - Call for Proposals
• Lecture 30 - Research Proposals
Assignment 6

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Assignments

1. [2] First Document
• Make a basic Latex document with title, sections, lists (ordered and unordered), pictures, tables as well as bibliography.
2. [3] Resume
• Make your CV in Latex.
3. [3] Lecture Note
• You will write the Lecture Note for a class using LATEX.
4. [3] Selecting a paper
• Select an area of interest
• Select at the least 10 papers in that area.
• Make a table with the following columns
– Serial – Paper title – Where it is published – Year of publication – 2 lines summary of paper – Why it is not your best paper?
• Select the best paper among them. And add why is it your best paper?
5. [14] R Assignments [Deadline within a week after assignment announcement]
The assignments are from Verzani, John. Using R for introductory statistics. CRC press, 2018 [Link].
6. [5] Writing a research proposal

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