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There will be Python tutorial sessions first week of classes: wed at noon at CSB215 and on thu at 12:30pm at CSB225.
Wed of the second week of classes we will meet in the second floor labs (CSB215 and CSB225) to work with you on the first programming assignment.
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!!Spring 2012
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!!Fall 2012
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Welcome to CS320!
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We will have Python labs on thursday at 6pm and friday at 2pm, both at CSB215.
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!!CS320 Algorithms: theory and practice
->Spring 2012
->Spring 2012
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!CS320 Algorithms: theory and practice
->!Spring 2012
->!Spring 2012
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!CS320 Algorithms: theory and practice Spring 2012
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!!CS320 Algorithms: theory and practice
->Spring 2012
->Spring 2012
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!CS320 Algorithms: theory and practice
!Spring 2012
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!CS320 Algorithms: theory and practice Spring 2012
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!Spring 2012
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Welcome to CS320
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'''Jan 16th''' - the lecture location has changed to CSB 130.
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We will study the design, implementation and analysis of algorithms and advanced data structures.
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We will design, implement, and analyse algorithms and advanced data structures.
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!CS320 Algorithms theory and practice
!!!Announcements:
!!!Announcements
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!CS320 Algorithms: theory and practice
!!!Announcements
!!!Announcements
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We will study the design, implementation and analysis of algorithms and advanced data structures.
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!CS580 - programming for the life sciences
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!CS320 Algorithms theory and practice
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1/11/10: The course was moved to room 425 in the computer science building
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Welcome to CS320.
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Programming will be presented using python which is a simple and easy to learn programming language, with programming problems that are inspired by the types of problems encountered in analyzing biological data, e.g. sequence or gene expression data.
In addition to learning how to program, students will learn to think algorithmically.
Many biologists use programs such as BLAST or GenScan without understanding how the underlying algorithm works. The course will present algorithms such as sorting algorithms, and algorithms for tasks such as motif finding, and will develop students’ algorithmic thinking so they can better understand the programs they use
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Design, implementation and efficiency analysis of algorithms and advanced data structures.
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1/24/10: There will be a weekly lab meeting on mondays at 1pm at room 425.
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1/24/10: There will be a weekly lab meeting on mondays at 1pm at room 425. Bring your laptops.
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!!!Announcements:
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!!!Announcements:
1/24/10: There will be a weekly lab meeting on mondays at 1pm at room 425.
1/24/10: There will be a weekly lab meeting on mondays at 1pm at room 425.
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The course was moved to room 425 in the computer science building
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1/11/10: The course was moved to room 425 in the computer science building
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!Announcements:
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!!!Announcements:
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!Description
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!!!Description
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!!Announcements: The course was moved to room 425 in the computer science building
!!Description
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!Announcements:
The course was moved to room 425 in the computer science building
!Description
The course was moved to room 425 in the computer science building
!Description
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Many biologists use programs such as BLAST or GenScan without understanding how the underlying algorithm works. The course will present algorithms such as sorting algorithms, and algorithms for tasks such as motif finding, and will develop students’ algorithmic thinking so they can better understand the programs they use (lack of understanding can lead to mis-use).
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Many biologists use programs such as BLAST or GenScan without understanding how the underlying algorithm works. The course will present algorithms such as sorting algorithms, and algorithms for tasks such as motif finding, and will develop students’ algorithmic thinking so they can better understand the programs they use.
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A local copy of PmWiki's
documentation has been installed along with the software,
and is available via
To continue setting up PmWiki, see [[PmWiki/initial setup tasks]].
The [[PmWiki/basic editing]] page describes how to create pages
in PmWiki. You can practice editing in the [[wiki sandbox]].
More information about PmWiki is available from http://www.pmwiki.org
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!CS580 - programming for the life sciences
!!Announcements: The course was moved to room 425 in the computer science building
!!Description
Biology is becoming more and more a quantitative science, requiring the analysis of large amounts of data. While off-the-shelf programs are available for a large variety of computational tasks faced by practitioners in the life sciences, one sometimes needs to extract data, or manipulate the data in some way that is not provided by available software. The ability to write programs is empowering, removing a researcher’s dependence on having software that precisely matches his or her needs.
Programming will be presented using python which is a simple and easy to learn programming language, with programming problems that are inspired by the types of problems encountered in analyzing biological data, e.g. sequence or gene expression data.
In addition to learning how to program, students will learn to think algorithmically.
Many biologists use programs such as BLAST or GenScan without understanding how the underlying algorithm works. The course will present algorithms such as sorting algorithms, and algorithms for tasks such as motif finding, and will develop students’ algorithmic thinking so they can better understand the programs they use (lack of understanding can lead to mis-use).
!!Announcements: The course was moved to room 425 in the computer science building
!!Description
Biology is becoming more and more a quantitative science, requiring the analysis of large amounts of data. While off-the-shelf programs are available for a large variety of computational tasks faced by practitioners in the life sciences, one sometimes needs to extract data, or manipulate the data in some way that is not provided by available software. The ability to write programs is empowering, removing a researcher’s dependence on having software that precisely matches his or her needs.
Programming will be presented using python which is a simple and easy to learn programming language, with programming problems that are inspired by the types of problems encountered in analyzing biological data, e.g. sequence or gene expression data.
In addition to learning how to program, students will learn to think algorithmically.
Many biologists use programs such as BLAST or GenScan without understanding how the underlying algorithm works. The course will present algorithms such as sorting algorithms, and algorithms for tasks such as motif finding, and will develop students’ algorithmic thinking so they can better understand the programs they use (lack of understanding can lead to mis-use).