**About the Instructor – Dr. Nduka Wonu**

Dr Nduka Wonu, fondly known as Von Don is the CEO/Founder of Datarmatics Integrated Services Limited(DISL). He obtained his Bachelor of Science (B.Sc) in Mathematics (Pure & Applied option),

Master of Science (M.Sc ) in Statistics and another M.Sc in Applied Geophysics respectively. He ventured into the discipline of Education, bagging a Postgraduate Diploma in Education(PDE), a Master of Education (M.Ed) and a Doctorate (Ph.D) in Mathematics Education respectively.

Don is an experienced teacher, author and researcher/journal editor with a unique competence in the application of statistical software packages (SPSS, Eviews, Minitab, Gretl, R, Scientific-Python, etc) in statistical computing and modelling to solve real-life problems. He has participated and presented scholarly papers related to Mathematics Education and Educational Technology in both national and international conferences, and has published some books and several quality articles in both local and foreign journals.

Dr. Wonu is also a certified teacher (TRCN) and lecturer at Ignatius Ajuru University of Education, Port Harcourt, Nigeria. He has vast practical experience in Instructional Model Development (IMD) and has been involved in instructional delivery and teacher training. He has practical experience with NGOs where he has been involved in curriculum design, IMD, training, and supervision of the classroom implementation of the Mathematics curriculum at the secondary school level. He is married and blessed with children.

**Course Syllabul**

Module 1:The Basics of Research

Lesson 1: ~What is research?

Lesson 2: Types of research

Lesson 3: Types of variables in research

Lesson 4: Identification of researchable topics

Lesson 5: what to consider before embarking on research.

Module 2: Development of Research Topics

Lesson 1: Identification of a pressing issue

Lesson 2: The knowledge of how the variables interact

Lesson 3: Identification of the relevant sub-variables

Lesson 4: Figuring out how to develop the objectives

Lesson 5: Framing the topic and recasting based on some analogies

Module 3: How to Write Research Articles

Lesson 1: Banking on your knowledge of a topic

Lesson 2: identity the variables and download articles accordingly, extracting meaningful info from the materials(abstract, methodology and findings):

Lesson 3: Write the introduction with literature (problem specification inclusive, aim, objectives, RQ/H0s)

Lesson 4: Write the methodology

Lesson 5: The results, discussion of findings and conclusion.

Module 4: Introduction of a Thesis

Lesson 1: A good knowledge of the topic

Lesson 2: writing the background to the study

Lesson 3: How to write the problem specification

Lesson 4: How to write the purpose and objectives

Lesson 5: How to write the research questions and hypotheses

Lesson 6: How to write the significance of the study

Lesson 7: How to write the scope of the study

Lesson 8: How to write the delimitation of the study

Module 5: Review of Related literature

Lesson 1: How to write the conceptual framework of a thesis

Lesson 2: How to write the theoretical framework of a thesis

Lesson 3: How to write the empirical review of the literature

Lesson 4: How to analytically appraise and synthesis a literature

Lesson 5: How to summarise the literature review

Module 6: Methodology

Lesson 1: How to write the design of a thesis

Lesson 2: How to write the area of the thesis

Lesson 3: How to present the population of a study in a thesis

Lesson 4: How to write the sample and sampling technique

Lesson 5: How to describe the instrument for data collection of a thesis

Lesson 6: How to write the validity of an instrument in a thesis

Lesson 7: How to describe the nature and source of data

Lesson 8: How to write the method of data collection of a thesis

Lesson 9: How to write the method of data analysis of a thesis

Module 7: Results and Interpretations

Lesson 1: How to present the results of a thesis

Lesson 2: How to interpret the analyzed data

Lesson 3: Differentiating figures from Tables

Module 8: Discussion of Findings

Lesson 1: How to write the discussion of findings

Lesson 2: Exploring various approaches in discussing findings

Module 9: Summary of the study

Lesson 1: How to write a summary of the thesis

Lesson 2: Exploring various option to summarise the thesis

Module 10: Conclusion

Lesson 1: How to write the conclusion

Lesson 2: Identification of the implication of the study

Module 11: Referencing styles

Lesson 1: How to write references using APA

Lesson 2: How to write references using MLA

Lesson 3: How to write references using Havard

Modul 12: Data-types

Lesson 1: Meaning and types of data

Lesson 2: Relationship between data and instruments/scales

Lesson 3: Datatypes and inferential statistics

Module 13: Descriptive Statistics

Lesson 1: Measures of location

Lesson 2: Measures of dispersion

Lesson 3: Graphs and charts

Module 14a: Parametric Statistics (Tests of difference)

Lesson 1: Test of differences

Lesson 2: How to compute on sample t-test using SPSS

Lesson 3: how to compute independent sample t-test using SPSS

Lesson 4: How to compute paired sample t-test using SPSS

lesson 5: How to compute one-way Analsyis of Variance(ANOVA) using SPSS

Lesson 6: How to compute two-way ANOVA using SPSS

Lesson 7: How to compute Factorial Design ANOVA using SPSS

Lesson 8: How to compute Multivaruiate Analysis of Variance(MANOVA) using SPSS

Lesson 9: How to compute ANCOVA using SPSS

Lesson 10: How to compute MANCOVA using SPSS

Module 14b: Parametric Statistics (Tests of relationship)

Lesson 1: How to compute Pearson Product Moment Correlation using SPSS

Lesson 2: How to run a linear regression analysis using SPSS

Lesson 3: How to run multiple linear analysis using SPSS

Lesson 4: How to determine the significance of a correction r using Zr-test

Chapter 15a:Non-Parametric Statistics (tests of difference)

Lesson 1: How to compute Mann-Whiteney, U-test using SPSS

Lesson 2: How to compute Kruskal Walis, H-test using SPSS

Lesson 3: How to compute Komogrove-Smirnov using SPSS

Lesson 4: How to compute Jonckheere-Terspstra using SPSS

Lesson 5: How to compute Moses Extreme Reaction using SPSS

Module 15b Non-parametric test(relationship)

Lesson 1: How to compute Spearman Rho using SPSS

Lesson 2: How to compute Chi-Square using SPSS

Lesson 3: How to compute Phi-Coefficient

Lesson 4: How to compute Yates coefficient

Module 16: Some Research Anomalies and Suggested Corrections

Lesson 1: Research anomalies on topics

Lesson 2: Research anomalies in the introduction

Lesson 3: Research anomalies in the literature review

Lesson 4: Research anomalies in the methodology

Lesson 5: Research anomalies in Data analysis

Lesson 6: Research anomalies in the results

Lesson 7: Research anomalies in the data obtained

Lesson 8: Research anomalies in the instrumentation

Lesson 9: Research anomalies in the conclusion

Lesson 10. Research anomalies in the referencing

Module 17: How to Minimize Plagiarism

Lesson 1: How to write with minimal similarity

Lesson 2: How to reduce the similarity after testing using SPINBOT

Module 18: How to Reduce Grammatical Errors in a thesis

Lesson 1: How to minimize grammatical errors in a thesis before submission

Lesson 2: How to identify and correct errors in a thesis

Module 19: Steps to Review or Critique an Article for Publication

Lesson 1: How to critique the topic

Lesson 2: How to critique the abstract

Lesson 3: How to critique the instruction of a paper

Lesson 4: How to critique the methodology

Lesson 5: How to critique the results

Lesson 6: How to critique the interpretation of results

Lesson 7: How to critique the discussion of findings

Lesson 8: How to critique the conclusion

Lesson 9: How to critique the references in APA

Module 20: Basic Conference Paper Presentation Skills

Lesson 1: How to listen

Lesson 2: Application of metacognition

Lesson 3: How to avoid stage fright

Lesson 4:How to focus on the key points

Lesson 5: How to make your presentation brief and meaningful

Lesson 5:

Lesson 6:

Module 21: A practical Guide to Publishing Articles in Reputable journals

Lesson 1: How to collaborate with your mentors

Lesson 2: How to locate funding agencies

Lesson 3: How to find reputable journals

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