University of Illinois at Urbana-Champaign
The Grainger College of Engineering
Computer Science

CS 105

CS 105 - Intro Computing: Non-Tech

Spring 2021

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Intro Computing: Non-TechCS105AL131127OLC30900 - 1045 R    Craig Zilles
Max Fowler
Intro Computing: Non-TechCS105AL231128OLC31600 - 1745 R    Craig Zilles
Max Fowler
Intro Computing: Non-TechCS105AYB31145OLB00930 - 1045 M    Andrew Liu
Intro Computing: Non-TechCS105AYC31134OLB01100 - 1215 M    Andrew Liu
Intro Computing: Non-TechCS105AYD31131OLB01230 - 1345 M    Kathleen Isenegger
Intro Computing: Non-TechCS105AYE31132OLB01400 - 1515 M    Austin Zhou
Intro Computing: Non-TechCS105AYF31135OLB01700 - 1815 M    Rachel Xu
Intro Computing: Non-TechCS105AYG31136OLB01530 - 1645 M    Austin Zhou
Intro Computing: Non-TechCS105AYH31137OLB00930 - 1045 M    David Smith
Intro Computing: Non-TechCS105AYI31138OLB01100 - 1215 M    Kathleen Isenegger
Intro Computing: Non-TechCS105AYJ31139OLB01230 - 1345 M    Akul Goyal
Intro Computing: Non-TechCS105AYK31140OLB01400 - 1515 M    Akul Goyal
Intro Computing: Non-TechCS105AYL31141OLB01530 - 1645 M    Rachel Xu
Intro Computing: Non-TechCS105AYM31142OLB01100 - 1215 M    Binglin Chen
Intro Computing: Non-TechCS105AYN31143OLB01830 - 1945 M    David Smith
Intro Computing: Non-TechCS105AYP31147OLB01230 - 1345 M    Binglin Chen

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Official Description

Computing as an essential tool of academic and professional activities. Functions and interrelationships of computer system components: hardware, systems and applications software, and networks. Widely used application packages such as spreadsheets and databases. Concepts and practice of programming for the solution of simple problems in different application areas. Intended for non-science and non-engineering majors. Course Information: Prerequisite: MATH 112. Class Schedule Information: Students must register for one lab-discussion and one lecture section.

Course Director

Craig Zilles

Text(s)

Python Programming: An Introduction to Computer Science. 3rd Ed. Zelle.

Learning Goals

  • Effectively create and use formula in MS Excel to solve a variety of problems (1,2,6)
  • Write basic functions in Python (2,6)
  • Implement basic decision tress in Python (2,6)
  • Implement basic control structures in Python, including a variety of loops (2,6)
  • Choose correct control structures to efficiently implement solutions to basic algorithmic problems (1,2,6)
  • Implement classes to represent real-world objects in Python (1,2,6)

Topic List

  • Core Computer Science Concepts
  • Data Visualization
  • Data Use and Manipulation
  • Algorithm Basics
  • Functions, Variables, Classes
  • Control Structures
  • Data Structures
  • Abstraction

Last updated

2/15/2019