Research in Computing - Made Simple
Research in Computing
Updated on May, 2024
Language - English
Lectures -29
Duration -1.5 hours
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Course Description
This course is designed to introduce students to the principles and practices of conducting research in the field of computing. It provides a structured framework for students to explore advanced topics, develop critical research skills, and engage in independent or group research projects.
Goals
What will you learn in this course:
- Understand the research process in the field of computing, including problem identification, literature review, hypothesis development, data collection, and analysis.
- Develop critical thinking and problem-solving skills necessary for designing and executing research projects.
- Gain familiarity with various research methodologies and tools commonly used in computing research.
- Learn how to critically evaluate and synthesize existing research literature.
- Plan and execute an independent or group research project in a specific area of computing.
- Effectively communicate research findings through written reports and oral presentations.
- Develop ethical guidelines and awareness for responsible conduct in research.
Prerequisites
What are the prerequisites for this course?
None
Curriculum
Check out the detailed breakdown of what’s inside the course
Full Practical List
29 Lectures
-
RIC Practical List
02:16
02:16
-
Write a program for obtaining descriptive statistics of data
04:00
04:00
-
Write a program for obtaining descriptive statistics of data in Excel
02:58
02:58
-
Import data from different data sources (from Excel, csv, mysql, sql server, oracle to R/Python/Excel)
03:25
03:25
-
RIC Practical 01B Excel to Python
02:33
02:33
-
Practical 02 B Analyze Data
05:28
05:28
-
Practical 03 A 1 Sample t Test
03:31
03:31
-
Practical 03 B 2 Sample t Test
07:07
07:07
-
RIC Practical 03 B 2 Sample t Test Python
03:26
03:26
-
Practical 03 B 2 Sample t Test Practice
07:52
07:52
-
Practical 03 C Paired t Test
03:15
03:15
-
Practical 04 A Chi Squared
05:05
05:05
-
Practical 04 A Chi Squared Practice
04:06
04:06
-
Practical 04 A Chi Squared Independence
06:23
06:23
-
Practical 04 B Chi Squared Independence Python
02:25
02:25
-
RIC Practical 05 A Z test
01:45
01:45
-
RIC Practical 05 B Z test Two samples
02:02
02:02
-
RiC Practical 06 A One way ANOVA.mp4
02:20
02:20
-
RIC Practical 06 A One way ANOVA Excel
01:53
01:53
-
RIC Practical 06 B Two way ANOVA Python
00:54
00:54
-
RIC Practical 06 B Two way ANOVA Excel
01:37
01:37
-
RIC Practical 06 C MANOVA Python
00:56
00:56
-
Practical 08 A Positive Correlation
00:50
00:50
-
Practical 08 B Negative Correlation
00:40
00:40
-
RIC Practical 08 C No Correlation
00:43
00:43
-
RIC Practical 09 B Poly Regression
01:06
01:06
-
RIC Practical 10 A Multi Linear Regression
00:55
00:55
-
RIC Practical 10 B Logistic Linear Regression
00:18
00:18
-
Sample question sets
11:30
11:30
Instructor Details
Pushpa Mahapatro
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