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This course provides a broad introductory discussion of essential computer science concepts that have wide applicability in the natural sciences. Particular emphasis will be placed on applications to Bioinformatics. The concepts will be motivated by practical problems arising from the use of bioinformatics research tools such as genetic sequence databases. Concepts will be discussed in a weekly lecture and will be practiced via simple programming exercises using Python, an easy to learn and widely available scripting language.
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Course Information Sheet A.K.A. Prontuario (PDF) |
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Course Outline (PDF) |
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Lecture 1 - First Steps in Computing (PDF) |
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Lecture 2 - Using Biological Databases (PDF) |
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Lecture 3 - The Nature of Computing (PDF) |
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Lecture 4 - Conreolling the Flow of your Programs (PDF) |
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Lecture 5 - Cotainer Data Structures (PDF) |
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Lecture 6 - Files and Directories (PDF) |
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Lecture 7 - Interfacing with Bioinformatics Data Sources (PDF) |
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Lecture 8 - Exploiting Relational Databases (PDF) |
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Exam 1:TBA (Topics, Practice, Solution, Stats) |
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Exam 2: TBA (Topics, Practice, Solution, Stats) |
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Exam 3:TBA (Topics, Practice, Solution, Stats) |
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Final Exam: (Topics, Practice, Solution, Stats) |
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Problem Set 1. TBA (PDF, Solution) |
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Problem Set 2. TBA (PDF, Solution) |
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Problem Set 3. TBA (PDF, Solution) |
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Problem Set 4. TBA (Doc, Solution) |
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Programming Assignment 1. TBA (Word, PDF, Solution) |
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Programming Assignment 2. TBA (Word, PDF, Solution) |
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Programming Assignment 3. TBA (RefCode, Doc, Solution) |
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Programming Assignment 4. TBA (RefCode, Doc, Solution) |
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icom4995-profs |
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icom4995-students (Subscribe) (Archives) |
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icom4995-forum (staff & students)(Archives) |
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Standard Python Software Downloads |
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BioPython Download Page |
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MySQL Downloads Page |
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Computability and Turing Machines
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Python
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Si descubres
algún enlace útil para la clase avísame para colocarlo
aquí.