Problem formulation, hypotheses, variables, sampling, data collection techniques

Searching databases (Scopus, Web of Science, Google Scholar), organizing literature using tools (Zotero, Mendeley), writing reviews

Data entry, descriptive statistics, t-tests, ANOVA, regression, interpretation of outputs

Symmetric vs. asymmetric encryption, hashing, digital signatures, PKICopy

Installing R and RStudio, importing data, descriptive and inferential analysis, basic visualization

Using ChatGPT for research design, AI tools for summarization, AI in data analysis and writing assistance, ethical considerations

Structure of a paper, IMRaD format, abstract writing, referencing styles (APA, MLA, Chicago), plagiarism checks

Chapter-wise structure, research arguments, formatting, citation management, submission process

Identifying journals (indexed, UGC CARE, impact factor), avoiding predatory journals, peer review process, responding to reviewers