CIS 501 (CS2) Data Structures: Python
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Computer and Information Science (CIS) Courses
- CIS 110 Introduction to Computer and Information Science
- CIS 111 Introduction to Web Programming
- CIS 113 Ruby Programming
- CIS 114 JavaScript/Ajax Programming
- CIS 117 Python Programming
- CIS 121 UNIX/Linux
- CIS 124 Foundations of Data Science
- CIS 127 HTML5 and CSS
- CIS 128 Mobile Web App Development
- CIS 129 Frameworks/Server-Side JavaScript
- CIS 132 Introduction to Databases
- CIS 133 NoSQL Databases
- CIS 135 Android Programming
- CIS 137 iOS/Swift Programming
- CIS 138 Internet of Things
- CIS 140 Big Data Analytics
- CIS 145 Introduction to DevOps
- CIS 151 Computer Networking
- CIS 254 Introduction to Object-Oriented Program Design
- CIS 255 (CS1) Programming Methods: Java
- CIS 256 (CS2) Data Structures: Java
- CIS 262 Discrete Mathematics for Computer Science
- CIS 264 Computer Organization and Systems Programming
- CIS 278 (CS1) Programming Methods: C++
- CIS 279 (CS2) Data Structures: C++
- CIS 363 Enterprise Database Management
- CIS 364 From Data Warehousing to Big Data
- CIS 380 PHP Programming
- CIS 400 Probability for Computer Scientists
- CIS 401 Introduction to Machine Learning
- CIS 402 Introduction to Artificial Intelligence
- CIS 479 Computer and Network Security
- CIS 482 Ethical Hacking
- CIS 493 Cloud Security Fundamentals
- CIS 500 Introduction to Cloud Computing
- CIS 501 (CS2) Data Structures: Python
- CIS 502 Applied Python Programming
- CIS 503 Data Visualization and Text Analysis in Python
Additional Content
Minimum Grade for Prerequisites
Unless otherwise indicated, a grade of C or higher is required for all prerequisite courses.
Course Description
Abstract data type implementation and usage techniques for computer science majors and computer professionals. Object-oriented approach to a variety of abstract data types including: lists, stacks, queues, priority queues, trees, maps and graphs. Also includes advanced sorting and searching topics, and algorithmic analysis using Big-O notation. This course conforms to the ACM CS2 standards.
Units: 4
Degree Credit
Grade Option (Letter Grade or Pass/No Pass)
- Lecture hours/semester: 48-54
- Lab hours/semester: 48-54
- Homework hours/semester: 96-108
Prerequisites: CIS 117
Corequisites: None
Transfer Credit:
CSU
, UC
