College Final ExamUniversityComputer Science

Introduction to Computer Science Study Guide

A standard introductory college programming course taught in Java: variables, control flow, arrays, object-oriented programming, recursion, and basic algorithms.

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15 Topics Covered

1

Primitive Types and Variables

Master int, double, boolean types, variable declaration, arithmetic operators, and type casting essential for all AP problems.

2

Using Objects and String Methods

Create objects, call methods, use String class methods, and understand object references for AP object manipulation.

3

Boolean Expressions and Conditionals

Write if/else statements, use logical operators, compare objects, and implement decision-making logic for AP scenarios.

4

Iteration with Loops

Implement while, for, and nested loops to process data and solve repetitive computation problems on AP.

5

Writing Classes and Methods

Design classes with instance variables, constructors, methods, and encapsulation following AP free-response requirements.

6

Writing Classes and Object-Oriented Design

Design classes with instance variables, constructors, and methods; understand encapsulation and accessor/mutator patterns.

7

Arrays and Array Algorithms

Declare, traverse, and manipulate one-dimensional arrays using standard algorithms tested on AP multiple-choice questions.

8

ArrayList Operations and Algorithms

Use ArrayList methods to add, remove, and traverse dynamic collections, a heavily tested AP topic.

9

2D Arrays and Matrix Processing

Navigate row-column structures, implement nested loop traversals, and solve 2D array AP free-response problems.

10

Two-Dimensional Arrays

Process 2D arrays using nested loops for row-major and column-major traversals common in FRQ problems.

11

Inheritance and Polymorphism

Extend classes, override methods, use super keyword, and understand polymorphic behavior for AP class hierarchies.

12

Recursion and Recursive Algorithms

Write recursive methods, trace execution, identify base cases, and solve AP recursion tracing problems.

13

Searching and Sorting Algorithms

Implement sequential search, binary search, selection sort, insertion sort, and analyze algorithm efficiency for AP.

14

AP Exam Strategies and Practice

Master time management, free-response rubric patterns, common pitfalls, and full-length practice exam techniques.

15

AP Exam Strategies and FRQ Practice

Master FRQ formats: methods/control structures, classes, arrays/ArrayLists, and 2D arrays with scoring guideline strategies.

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