CSCI 134 - Fall 2021
Introduction to Computer Science
Home | Lectures | Labs & HW | Resources | CS@Williams
|Instructors:||Jeannie Albrecht | Email: firstname.lastname@example.org | Office: TCL 305|
|Shikha Singh | Email: email@example.com | Office: TCL 304|
|Kelly Shaw (labs) | Email: firstname.lastname@example.org | Office: TCL 309|
|Technical Support:||Lida Doret | Email: email@example.com | Office: TCL 205|
|Lectures:||MWF 9am (with Singh) or MWF 10am (with Albrecht)|
|Labs:||M 1:10-2:25pm, with Singh; or|
|M 1:10-2:25pm or 2:35-3:50pm, with Shaw; or|
|T 1:10-2:25pm, with Albrecht; or|
|T 1:10-2:25pm or 2:35-3:50pm, with Shaw|
|Textbook:||(Recommended) Think Python (2nd Edition), found at greentreepress.com and here
(Alternate) Introduction to Computation and Programing Using Python, (2nd Edition), found at Amazon
|TAs:||Lea Obermüller, Mira Sneirson, Tasan Smith-Gandy, Jacob Chen, Sophie Goldstein, Elijah Washington|
|Sarah Fida, Lindsey Chu, Aaron Schroen, Kirun Cheung, Nathan Thimothe, Andrew Muhareb, Gavin Li, Caleb Dittmar|
|Help Hours:||See Course Calendar (below)|
|Herd Meetings||See Schedule|
Unfortunately our course is over-enrolled for Fall 2021. If you were dropped, or if you did not pre-register but are interested in taking CSCI 134 in the future, please add your name to the waitlist. We will randomly select students from the waitlist when slots become available. Students on the waitlist will also be given priority enrollment in future semesters.
We are surrounded by information. 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, scientific computing, and databases. Programming topics covered include procedural, object-oriented, and functional programming, control structures, structural self-reference, arrays, lists, streams, dictionaries, and data abstraction. This course is appropriate for all students who want to create software and learn computational techniques for manipulating and analyzing data.
Syllabus and Course Calendar
See Course Syllabus which includes information about
student accomodations and course's honor code policies.
The course calendar with instructor and TA hours is below. All TA office hours take place in the labs (TCL 216 and 217a).
|Think Python, a textbook|
|Overview of CSCI 134 Tools|
|Mac OS Setup Guide | Windows OS Setup Guide|
|How to Jupyter | Sample Notebook|
|Duane's Incredibly Brief Intro to Unix and Emacs|