CSCI 135 Spring 2015 Diving into the Deluge of Data (Q)

We are surrounded by information: weather forecasts, twitter feeds, restaurant reviews, stock market tickers, music recommendations, among others. This course introduces fundamental computational concepts for representing and manipulating data. Using the programming language Python, this course explores effective ways to organize and transform information in order to solve problems. Students will learn to design algorithms to search, sort, and manipulate data in application areas like text and image processing, social networks, scientific computing, databases, and the World Wide Web. Programming topics covered include object-oriented and functional programming, control structures, types, recursion, arrays, lists, streams, and dictionaries. This course is appropriate for all students who want to create software and learn computational techniques for manipulating and analyzing data. More details are available on the department website, http://www.cs.williams.edu This course covers the programming concepts from CSCI 134 in an accelerated fashion. It is designed for students who have some experience programming in any computer language, but whose background is not strong enough to enter Computer Science 136.
Class Format: lecture/laboratory
Requirements/Evaluation: evaluation will be based on weekly assignments, programming projects, and examinations
Additional Info:
Additional Info2:
Prerequisites: some experience programming in any computer language; not open to students who have successfully completed CSCI 134 or above
Enrollment Preference: first year students and sophomores
Department Notes: students with substantial prior programming experience should discuss appropriate course placement with members of the department; this course may be taken in place of CSCI 134 & fulfills a CSCI 134 prerequisite for other courses
Material and Lab Fees:
Distribution Notes:
Divisional Attributes: Division III,Quantitative and Formal Reasoning
Other Attributes:
Enrollment Limit: 24
Expected Enrollment: 24
Class Number: 4032
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
CSCI 135 - 01 (S) LEC Diving into the Deluge of Data (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Brent A. Heeringa
MWF 09:00 AM-09:50 AM 4032 Open
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