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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 12594yesUC San Diego

    The Syllabus

    • Welcome!
    • The Art of Computational Problem Formulation
    • A Short Biological Intro

    • Lectures (Optional)
    • Interactive Text (Powered by Stepik)
    • Programming Challenge 1-1: Minimum Number of Coins to Make Change
    • Programming Challenge 1-2: Length of a Longest Path in a Grid
    • Programming Challenge 1-3: Longest Common Subsequence of Two Strings
    • Programming Challenge 1-4: Longest Path in a DAG

    • Lectures (Optional)
    • Interactive Text (Powered by Stepik)
    • Programming Challenge 1-5: Global Alignment
    • Programming Challenge 1-6: Local Alignment
    • Programming Challenge 1-7: Edit Distance
    • Programming Challenge 1-8: Fitting Alignment
    • Programming Challenge 1-9: Overlap Alignment
    • Programming Challenge 1-10: Alignment with Affine Gap Penalties
    • Programming Challenge 1-11: Middle Edge in Alignment Graph
    • Programming Challenge 1-12: Global Alignment in Linear Space
    • Programming Challenge 1-13: Multiple Alignment

    • Lectures (Optional)
    • Interactive Text (Powered by Stepik)
    • Programming Challenge 1-14: Probability of a Path in an HMM'
    • Programming Challenge 1-15: Probability of an Outcome Given a Hidden Path
    • Programming Challenge 1-16: Finding an Optimal Hidden Path
    • Programming Challenge 1-17: Likelihood of an Outcome

    • Lectures (Optional)
    • Interactive Text (Powered by Stepik)
    • Programming Challenge 1-18: Constructing a Profile HMM
    • Programming Challenge 1-19: Profile HMM with Pseudocounts
    • Programming Challenge 1-20: Sequence Alignment with a Profile HMM
    • Programming Challenge 1-21: HMM Parameter Estimation
    • Programming Challenge 1-22: HMM Parameter Estimation with Viterbi Learning
    • Programming Challenge 1-23: Soft Decoding
    • Programming Challenge 1-24: Baum-Welch Learning

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