CS 105
CS 105 - Intro Computing: Non-Tech
Spring 2025
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Intro Computing: Non-Tech | CS105 | AL1 | 31127 | LEC | 3 | 1000 - 1145 | F | 0027/1025 Campus Instructional Facility | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYB | 31132 | LBD | 0 | 1100 - 1220 | M | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYC | 31134 | LBD | 0 | 1300 - 1420 | M | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYD | 31135 | LBD | 0 | 1500 - 1620 | M | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYF | 31137 | LBD | 0 | 1100 - 1220 | T | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYG | 31138 | LBD | 0 | 1300 - 1420 | T | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYH | 31139 | LBD | 0 | 1500 - 1620 | T | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYJ | 31141 | LBD | 0 | 1100 - 1220 | W | 101 901 W Oregon | Max Fowler |
| Intro Computing: Non-Tech | CS105 | AYK | 31142 | LBD | 0 | 1300 - 1420 | W | 101 901 W Oregon | Max Fowler |
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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
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