Assess the ability to apply corpus-based methods to analyze register variation in academic writing, testing skills in corpus design and sampling, preprocessing and annotation (tokenization, lemmatization, POS-tagging), quantitative techniques (frequency, keyness, collocation, n-grams), qualitative interpretation of features (nominalization, modality, hedging, citation practices), tool selection (e.g., AntConc, R, Python), and clear reporting of findings and methodological limitations; scope: comparative analysis of small-to-medium corpora across academic genres or disciplines.