Preparing for the AP* Computer Science A Exam — Part 2
About this courseSkip About this course
CSAP.1x covers the material of AP Computer Science A which is equivalent to a first-semester, college-level course in computer science. This highly interactive course will introduce students to the fundamental concepts of computer science. The course will be structured to encourage students to think computationally and enjoy problem solving. New York City’s companies, museums, art and architecture will be used as examples to emphasize the ubiquitous role of computing and programming concepts in the world around us.
The course will delve into object- oriented problem solving and design using the Java programming language. Students will have access to practice problems that will help them learn to program without spending hours on finding and fixing syntax errors. These will include online multiple-choice questions in the style of those on the AP exam, mixed-up code that the user drags into the correct order, fill in the blank code and audio tours of the code.
Topics include problem solving, programming design strategies and data structures, algorithms, role of computation in real-world applications like smart phones, google glass and robots. This material may be used for self-study and as a preview by students and teachers considering the September 2015 offering of the course. Video lectures for this course will be available in May 2015. Ancillary material including labs will be added over the Summer of 2015. All of the course will be available September 1, 2015
This is a self-paced course - you may take CSAP.1x on your schedule.
- Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.
At a glance
What you'll learnSkip What you'll learn
- Identify the use and proper use of Objects, Classes, Inheritance, Interfaces, and Abstract Classes
- Implement problem descriptions using the Object-Oriented Programming Paradigm
- Identify and begin to design algorithms to solve interesting problems in their field of interest