Credits: 3 (2-0-2)

Prerequisites: Basic Mathematics (Class 10 level)

Overlaps with: SBL701, MSL874

Description

Module 1 (Statistics for engineers)

  • Introduction to data in Biotechnological applications and Error Analysis
  • Introduction to statistical programming
  • Data visualization; Measures of Location and Dispersion
  • Probability and Common Probability Distributions
  • Point Estimation and central limit theorem
  • Confidence Interval, Hypothesis Testing and Types of errors
  • Regression for engineers, Correlation, and Calibration
  • Design and Analysis of Experiments Module 2 (Bioinformatics)
  • Bioinformatic data generation technologies
  • Bioinformatic databases
  • Essential problems in Bioinformatics - Alignment, Assembly, Mapping