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.
Systematic study of data structures encountered in computing problems, methods of representing structured data, and techniques for operating on data structures.Â
The Data Structures & Algorithms course begins with a review of some important Java techniques and nuances in programming. The course requires some prior knowledge of Java and object-oriented programming, but not in data structures or algorithms.
The analysis and design of computer algorithms and their underlying data structures. Analysis of the timing and efficiency of algorithms. Study of lists, stacks, queues, trees, backtracking, searching, sorting and recursion.
In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.
Models, algorithms, recurrences, summations, growth rates. Probabilistic tools, upper and lower bounds; worst-case and average-case analysis, amortized analysis, dynamization. Comparison-based algorithms: search, selection, sorting, hashing. Information extraction algorithms (graphs, databases).
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