CIS 278 (CS1) Programming Methods: C++
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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
Object-oriented programming methodology for both computer science majors and computer professionals. Systematic approach to design, construction, and management of computer programs; emphasizing program documentation, testing, debugging, maintenance and software reuse. Also includes UML, virtual machines, exception handling, sorting and searching algorithms, recursion, fundamental graphics, and computer ethics. This course conforms to the ACM CSI 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: MATH 120, CIS 254
Corequisites: None
Recommended: Completion of or concurrent enrollment in ENGL 100 or ENGL 105.
AA/AS Degree Requirements: Area C1; Area E2b
Transfer Credit:
CSU
(CSU GE Area B4), UC
C-ID: COMP 122
