About


This course is for teachers to learn the content of PSI Advanced Placement® Computer Science Principles and how to teach that course to students.  It focuses on fundamental programming skills and thought processes required for successful programming in any language while integrating components of Python.  Topics include Fundamentals of Programming; Control Statements & Loops; Algorithmic Reasoning; Lists; and Functions.


Number of Credits: 3


AP® and Advanced Placement® are registered trademarks of the College Board. Used with permission.

About


This course is for teachers to learn the content of PSI Advanced Placement® Computer Science Principles and how to teach that course to students.  It focuses on fundamental programming skills and thought processes required for successful programming in any language while integrating components of Python.  Topics include Global Impacts of Computing, Bits & Bytes, Data & Privacy, Graphics & Images, and The Internet & Networking.


Credits: 3

Prerequisite: CSCI6343, or Instructor Approval


AP® and Advanced Placement® are registered trademarks of the College Board. Used with permission.

About


This course is for teachers to learn the content of PSI AP® Computer Science A and how to teach that course to students.  It focuses on fundamental programming skills and thought processes required for successful programming in any language while integrating components of Java.  Topics include Fundamentals of Programming; Control Statements & Loops; Methods & Arrays; and Strings.


NJCTL Credits: 4


AP® and Advanced Placement® are registered trademarks of the College Board. Used with permission.

About


This course is for teachers to learn the content of PSI Advanced Placement® Computer Science A and how to teach that course to students.  It focuses on object-oriented programming skills and thought processes required for successful programming in any language while integrating components of Java.  Topics include Classes, Array Lists, Inheritance & Polymorphism, Recursion, and Searching & Sorting.


NJCTL Credits: 4

AP® and Advanced Placement® are registered trademarks of the College Board. Used with permission.

About


This capstone course is for teachers to review and extend their prior study of computer science in the areas of Impacts of Computing, Algorithms & Computational Thinking, Programming, Data, and Computing Systems & Networking. This capstone course also serves as a preparation for the Computer Science Praxis exam (5652).


Credits: 2

Prerequisite: Knowledge of either Python or Java


About

This course is for teachers to learn the content of PSI Advanced Placement Computer Science A and how to teach that course to students.  It focuses on object-oriented programming skills and thought processes required for successful programming in any language while integrating components of Java.  Topics include Classes, Array Lists, Inheritance & Polymorphism, Recursion, and Searching & Sorting.

NJCTL Credits: 4