Algorithms and Computational Techniques in Biology - Edukite

4/16/2019

Algorithms and Computational Techniques in Biology - Edukite

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Algorithms and Computational Techniques in Biology ( 9 REVIEWS ) 

843 STUDENTS

The course focuses on the computational approaches for solving problems in systems biology.

Through a series of case studies, you …

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Algorithms and Computational Techniques in Biology - Edukite

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1 YEAR LEVEL 2 - CERTIFICATE COURSE BADGE COURSE CERTIFICATE

28

NUMBER OF UNITS NUMBER OF QUIZZES

0

4 HOURS, 34 MINUTES

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CURRICULUM

REVIEWS

The Algorithms and Computational Techniques in Biology course focuses on the computational approaches for solving problems in systems biology. Through a series of case studies, you will learn how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. Several discrete and numerical algorithms used in the simulation, feature extraction, and optimisation for molecular, network and systems models in biology will also be discussed in the course.

Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certi cate at a cost of £49.

Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can: Add the certi cate to your CV or resume and brighten up your career Show it to prove your success https://edukite.org/course/algorithms-and-computational-techniques-in-biology/

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Algorithms and Computational Techniques in Biology - Edukite

Course Credit: MIT

COURSE CURRICULUM

Module 01

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Introduction and Protein Modeling Questions

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00:08:00

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Models of Proteins

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00:12:00

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Discrete Conformational Search

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00:10:00

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Binding and Docking

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00:10:00

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Molecular Dynamics Simulation

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00:10:00

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Molecular Dynamics and Electrostatics

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00:11:00

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Continuum Electrostatic Modeling I

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00:12:00

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Continuum Electrostatic Modeling II

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00:14:00

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Electrostatic Optimization and Design

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00:10:00

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Electrostatics Modeling 1

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00:10:00

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Electrostatics Modeling 2

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00:09:00

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Statistical Mechanics

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00:13:00

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Statistical Mechanics (cont.)

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00:12:00

Module 02

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Algorithms and Computational Techniques in Biology - Edukite

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Formulating and Simulating Network Models in Biology

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00:12:00

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Formulating Models

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00:10:00

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Nonlinear Dynamics and Stability

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00:15:00

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Steady-State Problems

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00:11:00

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Parameter Fitting and Estimation

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00:10:00

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Parameter Estimation; Robustness, Fragility, Control

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00:07:00

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2-D and 3-D Light Microscopy; Image Reconstruction

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00:08:00

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Deconvolution

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00:09:00

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Deconvolution II

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00:11:00

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Blind Deconvolution

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00:12:00

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Optical Flow

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00:11:00

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High-Throughput Data and its Analysis

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00:08:00

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Inference and Statistics

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00:09:00

Assessment

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Submit Your Assignment

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00:00:00

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Certi cation

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00:00:00

COURSE REVIEWS

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