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

CS 105

CS 105 - Intro Computing: Non-Tech

Fall 2022

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Intro Computing: Non-TechCS105AL135823LEC30900 - 1045 F  AUD Foellinger Auditorium Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYA47174LBD00900 - 1020 M  101 901 W Oregon Shradha Sehgal
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYB35827LBD01030 - 1150 M  101 901 W Oregon Shradha Sehgal
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYC35828LBD01300 - 1420 M  101 901 W Oregon Alex Huynh
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYD35847LBD01430 - 1550 M  101 901 W Oregon Mariam Camille Saffar Perez
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYE35831LBD01600 - 1720 M  101 901 W Oregon Jiahua Dong
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYG35833LBD01730 - 1850 M  101 901 W Oregon Jackie Chan
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYH35835LBD00900 - 1020 T  101 901 W Oregon Vidushi Ojha
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYI35836LBD01030 - 1150 T  101 901 W Oregon Niranjana Balasubramanian
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYJ35837LBD01200 - 1320 T  101 901 W Oregon Niranjana Balasubramanian
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYK35838LBD01600 - 1720 T  101 901 W Oregon Wei Jiang
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYM35843LBD01730 - 1850 T  101 901 W Oregon Shruthi R Kondin
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYN47175LBD01500 - 1620 W  101 901 W Oregon Sharon Lam
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYP35854LBD01630 - 1750 W  101 901 W Oregon Albert Cao
Colleen M. Lewis
Max Fowler
Intro Computing: Non-TechCS105AYQ35856LBD01800 - 1920 W  101 901 W Oregon Kathleen Isenegger
Colleen M. Lewis
Max Fowler

See full schedule from Course Explorer

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