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

CS 105

CS 105 - Intro Computing: Non-Tech

Fall 2021

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Intro Computing: Non-TechCS105AL135823OLC30900 - 1045 R    Craig Zilles
Max Fowler
Intro Computing: Non-TechCS105AL235824OLC31600 - 1745 R    
Intro Computing: Non-TechCS105AYA47174LBD00930 - 1050 M  101 901 W Oregon Craig Zilles
Rachel Xu
Intro Computing: Non-TechCS105AYB35827LBD01300 - 1420 M  101 901 W Oregon Craig Zilles
David Smith
Intro Computing: Non-TechCS105AYC35828LBD01430 - 1550 M  101 901 W Oregon Craig Zilles
Priyanka Dey
Intro Computing: Non-TechCS105AYD35847LBD01600 - 1720 M  101 901 W Oregon Craig Zilles
Priyanka Dey
Intro Computing: Non-TechCS105AYE35831LBD01430 - 1550 F  101 901 W Oregon Craig Zilles
Raima Mathew
Intro Computing: Non-TechCS105AYF35832OLB00930 - 1050 T    Craig Zilles
Sam Cheng, Sr
Intro Computing: Non-TechCS105AYG35833LBD00930 - 1050 T  101 901 W Oregon Craig Zilles
Binglin Chen
Intro Computing: Non-TechCS105AYH35835LBD01100 - 1220 T  101 901 W Oregon Craig Zilles
Binglin Chen
Intro Computing: Non-TechCS105AYI35836LBD01230 - 1350 T  101 901 W Oregon Craig Zilles
Yian Wang
Intro Computing: Non-TechCS105AYJ35837LBD01400 - 1520 T  101 901 W Oregon Craig Zilles
Sharon Lam
Intro Computing: Non-TechCS105AYK35838LBD01530 - 1650 T  101 901 W Oregon Craig Zilles
Sharon Lam
Intro Computing: Non-TechCS105AYM35843LBD01300 - 1420 W  101 901 W Oregon Craig Zilles
Andrew Liu
Intro Computing: Non-TechCS105AYN47175LBD01430 - 1550 W  101 901 W Oregon Craig Zilles
Mingkun Gao
Intro Computing: Non-TechCS105AYP35854LBD01600 - 1720 W  101 901 W Oregon Craig Zilles
Mingkun Gao
Intro Computing: Non-TechCS105AYQ35856LBD01300 - 1420 F  101 901 W Oregon Craig Zilles
Raima Mathew
Intro Computing: Non-TechCS105AYR35858LBD01700 - 1820 R  101 901 W Oregon Craig Zilles
Yian Wang

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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