Unit 3: Instruments (questionnaires, scales), and ensuring reliability/validity. Practical: Design a simple data collection tool. Unit 4: Data Analysis Basics (6 hours) Descriptive stats (mean, SD, graphs) and inferential basics (t-test, correlation). Hypothesis testing steps and errors (Type I/II). Hands-on with Excel/SPSS for science datasets. Unit 5: Reporting and Interpretation (6 hours) Report structure (IMRaD format) and visualization (charts, tables). Interpretation, APA/Vancouver citations, and avoiding plagiarism. Mini-project presentation.
This course introduces the fundamental analytical methods widely used in biological and biochemical research. Topics include pH measurement, biochemical buffers, biosensors, chromatography, centrifugation, spectroscopy (UV-Visible, FTIR, NMR, Raman, ICP-OES, Mass Spectrometry), electrophoretic and blotting techniques, microscopy (light, fluorescence, SEM, TEM, and Cryo-EM), and radioisotope-based analytical methods. Emphasis is placed on the principles, instrumentation, applications, and interpretation of data generated using these techniques in modern biotechnology and life science research.
Lab training
Lab training