The AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools.
DurationThe AP Computer Science Java is a UC and CSU approved college preparatory elective course offered by High Schools. At RoboMocha APCS is a year-long course designed to help students master the basics of Java and equip them to successfully pass the AP Computer Science Java Exam at the end of the school year.
The course is designed for a year long class for 1.5 hours per week, adding up to over 100 hours of hands-on programming practice in total. At the end of each unit, students take a summative multiple choice unit quiz in the style of the AP Exam that assesses their knowledge of the Java concepts covered in the unit. Included in each lesson is a formative short multiple choice quiz.
The course also provides an AP Test Practice unit with a cumulative AP Practice Multiple Choice Test and several Free Response questions.
RoboMocha offers Robotics and Java programming for kids and teens. We approach each child as an individual with their own talents and one-of-a-kind needs. We engage Elementary, Middle and High school kids.
And teens in STEM education, and help them discover and pursue their passions. Every kid is a star! Our goal is to help our students to reach out the highest standards of future technologies.
Survey of advanced algorithms and data structures such as heaps and heapsort, quicksort, red-black trees, B-trees, hash tables, graph algorithms, divide and conquer algorithms, dynamic programming, and greedy algorithms. Methods for proving correctness and asymptotic analysis.
This course covers and relates fundamental components of programs. Students use various data structures to solve computational problems, and implement data structures using a high-level programming language.
Exploration of the design and implementation of data structures and algorithms fundamental to computer systems and applications and to software engineering.
This course presents some fundamental data structures, including lists, stacks, queues, hashes, and binary trees. Students will master a number of algorithms including Mergesort and Quicksort.
This course covers the theory and application of commonly used data structures and related algorithms for maintaining them. Emphasis is placed on efficiency, appropriate use, and the creation of encapsulated, object-oriented data structures.
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