The Grainger College of Engineering
Siebel School of Computing and Data Science

CS 105

CS 105 - Intro Computing: Non-Tech

Fall 2025

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Intro Computing: Non-TechCS105AL135823LEC31530 - 1620 M F  0027/1025 Campus Instructional Facility Colleen M. Lewis
Intro Computing: Non-TechCS105AYA47174LBD01500 - 1620 T  70B Wohlers Hall Hesun Chen
Srikar Reddy Vanavasam
Intro Computing: Non-TechCS105AYB35827LBD01230 - 1350 W  70B Wohlers Hall Jackie Chan
Intro Computing: Non-TechCS105AYC35828LBD01300 - 1420 R  70B Wohlers Hall Srikar Reddy Vanavasam
Intro Computing: Non-TechCS105AYD35847LBD01430 - 1550 R  70B Wohlers Hall Srikar Reddy Vanavasam
Hesun Chen
Intro Computing: Non-TechCS105AYE35831LBD01230 - 1350 T  101 901 W Oregon Srikar Reddy Vanavasam
Jackie Chan
Zhanghan Ni
Intro Computing: Non-TechCS105AYG35833LBD00930 - 1050 T  101 901 W Oregon Zhanghan Ni
Hafsah Chowdhury
Jackie Chan
Intro Computing: Non-TechCS105AYH35835LBD01100 - 1220 T  101 901 W Oregon Jackie Chan
Intro Computing: Non-TechCS105AYP35854LBD00930 - 1050 R  101 901 W Oregon Hesun Chen
Hafsah Chowdhury
Intro Computing: Non-TechCS105AYQ35856LBD01100 - 1220 R  101 901 W Oregon Hesun Chen
Zhanghan Ni
Intro Computing: Non-TechCS105AYR35858LBD01600 - 1720 R  70B Wohlers Hall Hafsah Chowdhury
Intro Computing: Non-TechCS105EJP81020LCD30900 - 1200 W    Rebecca Ginsburg
Kendall Koe

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