BBL772: Difference between revisions
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| credit_structure = 2-0-2 | | credit_structure = 2-0-2 | ||
| pre_requisites = Basic Mathematics (Class 10 level) | | pre_requisites = Basic Mathematics (Class 10 level) | ||
| overlaps = SBL701, MSL874 | | overlaps = [[SBL701]], [[MSL874]] | ||
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== BBL772 : Data Analytics and Informatics for Biotechnology == | == BBL772 : Data Analytics and Informatics for Biotechnology == | ||
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 | 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 | ||
Latest revision as of 16:23, 14 April 2026
| BBL772 | |
|---|---|
| Data Analytics and Informatics for Biotechnology | |
| Credits | 3 |
| Structure | 2-0-2 |
| Pre-requisites | Basic Mathematics (Class 10 level) |
| Overlaps | SBL701, MSL874 |
BBL772 : Data Analytics and Informatics for Biotechnology
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