STAT 215 - Introduction to Computational Biology and Bioinformatics Learning Course
STAT 215 - Introduction to Computational Biology and Bioinformatics Learning Course
[STAT 215 - Introduction to Computational Biology and Bioinformatics Learning Course] STAT 215 - Introduction to Computational Biology and Bioinformatics STAT 215 introduces students to computational methods and statistical techniques used in analyzing biological data and solving bioinformatics problems. The course covers topics such as sequence analysis, genome assembly, phylogenetics, and molecular modeling. Emphasis is placed on understanding biological data structures, applying statistical models to biological phenomena, and using computational tools to interpret biological information. Through theoretical foundations and hands-on projects, students learn how to analyze DNA sequences, predict protein structures, and perform statistical analysis of genomic data. STAT 215 prepares students for careers in bioinformatics, genomics research, pharmaceuticals, and personalized medicine, where computational and statistical skills are essential for advancing biological discovery and innovation.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.