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Professional Development

Basic Courses for MSES


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Lessons

Here is the class outline:

1. Introduction

Nov 2

This introduces the students to the requirements for the basic courses in the master's programs.

Course Requirements
Grading System
Basic Courses Coursera Options

2. Methods of Research

Nov 2

The course discusses the basic elements in writing a research proposal starting from the formulation of the research problem. Then all the parts of the three chapters of the proposal are discussed. The final output for the course is a concept note of the research proposal.

Formulating the Research Problem
Discussion
Learning Activity 1 (Methods of Research)
A Look into the First Chapter of the Research Proposal
Learning Activity 2 (Methods of Research)
Required Coursera Course for the Subject
Certificate of Completion of the Coursera Course (Methods of Research)
A Look into the Second Chapter of the Research Proposal
Learning Activity 3 (Methods of Research)
A Look into the Third Chapter of the Research Proposal
Research Design
Learning Activity 4 (Methods of Research)
Sampling
Learning Activity 5 (Methods of Research)
Instrumentation
Learning Activity 6 (Methods of Research)
Data Analysis Tools
Learning Activity 7 (Methods of Research)
FINAL OUTPUT: Concept Note of the Research Proposal

3. Inferential Statistics

Nov 2

The course is about statistical tools that are useful in the conduct of research. It starts with a review of descriptive statistics and then proceeds with inferential statistics.

Review of Descriptive Statistics
Discussion 1 (Inferential Statistics)
Learning Activity 1(Inferential Statistics)
Review of Descriptive Statistics II
Learning Activity 2 (Inferential Statistics)
Introduction to Hypothesis Testing
Learning Activity 3 (Inferential Statistics)
Required Coursera Course
Certificate of Completion of the Coursera Course (Inferential Statistics)
Comparing Means of Two Independent Groups: t-test
Learning Activity 4 (Inferential Statistics)
Comparing Means of Two Dependent Groups: t-test
Learning Activity 5 (Inferential Statistics)
Comparing Means of Three or More Groups: Analysis of Variance
Learning Activity 6 (Inferential Statistics)
Relating Two Quantitative Variables: Pearson's r
Learning Activity 7 (Inferential Statistics)
Relating Two Variables (One Quantitative and One Nominal Dichotomous): Point-biserial Correlation
Learning Activity 8 (Inferential Statistics)
Associating Two Variables: Chi-Squared Test
Learning Activity 9 (Inferential Statistics)

4. Research Seminar

This course is for all students taking up Research Seminar. You will create drafts of chapters 1-3 (proposal-final defense) of your chosen research topic. You may do this individually or by group.

CHAPTER 1 Rationale of the Study
Chapter 2 Review of Related Literature and Studies
Chapter 3 Research Methodology
Certificate of Completion of Coursera Course (Research Seminar)