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CS 105 - Intro Computing: Non-Tech

Spring 2020

Intro Computing: Non-TechCS105AL231128LEC31600 - 1730 M  THEAT Lincoln Hall Craig Zilles
Intro Computing: Non-TechCS105AYB31145LBD01100 - 1220 W    Fei Ling
Intro Computing: Non-TechCS105AYC31134LBD01830 - 1950 M  101 901 W Oregon Vinith Krishnan
Intro Computing: Non-TechCS105AYD31131LBD01230 - 1350 T    Mia Johanna Schoening
Intro Computing: Non-TechCS105AYE31132LBD01400 - 1520 T  101 901 W Oregon Vighnesh Narayanan Iyer
Intro Computing: Non-TechCS105AYG31136LBD01530 - 1650 T    Max Fowler
Intro Computing: Non-TechCS105AYH31137LBD01700 - 1820 T  101 901 W Oregon Anant Dadu
Intro Computing: Non-TechCS105AYI31138LBD01830 - 1950 T    Anant Dadu
Intro Computing: Non-TechCS105AYJ31139LBD01230 - 1350 W  101 901 W Oregon Fei Ling
Intro Computing: Non-TechCS105AYK31140LBD01400 - 1520 W    Helen Catherine Wauck
Intro Computing: Non-TechCS105AYL31141LBD01530 - 1650 W  101 901 W Oregon Chi-Hsien Yen
Intro Computing: Non-TechCS105AYM31142LBD01700 - 1820 W    Ankit Kumar
Intro Computing: Non-TechCS105AYP31147LBD01830 - 1950 W  101 901 W Oregon Ankit Kumar

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


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

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