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Programming in Java - CS 102

Covers variables, types, conditionals, loops, methods, arrays, objects, classes, inheritance, and programming problem solving.

Study Tools

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Study guides

12

06 Methods and Modular Programming

Learn how methods divide programs into focused, reusable units, and how parameters, return values, scope, decomposition, and interfaces support maintainable code.
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10 Inheritance and Polymorphism

A practical guide to Java inheritance, overriding, polymorphism, type relationships, abstract classes, and choosing composition appropriately.
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09 Classes and Class Design

A practical guide to designing Java classes that model concepts, protect state, enforce rules, and use relationships effectively.
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11 Testing and Debugging

A practical guide to distinguishing program errors, debugging systematically, designing effective tests, and reasoning about correctness from specifications.
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08 Objects and Encapsulation

Learn how Java classes define objects, how constructors and instance methods manage object state, and how references, aliasing, and encapsulation support safe object-oriented programs.
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07 Arrays and Collections

Learn how to declare, access, traverse, search, update, and analyze Java arrays, including multidimensional arrays and the choice between arrays and collections.
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12 Integrated Programming Projects

A practical guide to designing integrated programs by moving from requirements and decomposition to data structures, algorithms, object-oriented design, validation, testing, and refinement.
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05 Loops and Repetition

A practical guide to designing, choosing, controlling, and debugging Python loops, including counters, accumulators, nested loops, searches, and termination.
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02 Variables, Expressions, and Input/Output

A progressive guide to Python variables, expressions, program state, input conversion, and readable output.
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04 Conditionals and Boolean Logic

Learn how Boolean expressions, logical operators, and conditional structures let programs make reliable decisions, including how to handle boundaries, branch order, and testing.
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03 Types and Data Representation

A practical guide to JavaScript types, conversions, type checks, strings, and choosing data representations that make programs clear and reliable.
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01 Programming Foundations and Problem Solving

A structured introduction to computational thinking, programming building blocks, object-oriented concepts, algorithms, testing, and debugging.
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Quizzes

12

09 Classes and Class Design

A medium-difficulty quiz on Java classes and class design, covering class structure, constructors, encapsulation, static and instance members, composition, inheritance, invariants, and responsibility assignment.
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05 Loops and Repetition

A medium-difficulty quiz on designing, tracing, and debugging Python loops. It covers loop selection, range behavior, counters, accumulators, loop control, nested loops, termination, and search patterns.
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07 Arrays and Collections

A medium-difficulty quiz on Java arrays, traversal, searching, aggregation, multidimensional arrays, mutation, copying, and collections. Questions progress from foundational application to more involved reasoning.
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11 Testing and Debugging

A medium-difficulty quiz on testing, debugging, tracing execution, designing effective tests, defensive programming, and evaluating program correctness. Questions progress from core concepts to applied analysis and debugging decisions.
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12 Integrated Programming Projects

A medium-difficulty quiz on requirements analysis, decomposition, data structures, algorithms, control flow, abstraction, object-oriented design, validation, testing, and project workflow in integrated programming projects.
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10 Inheritance and Polymorphism

A medium-difficulty quiz on Java inheritance, method overriding, polymorphism, abstract classes, type safety, and the design choice between inheritance and composition. The questions emphasize applying object-oriented design principles rather than recalling isolated definitions.
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06 Methods and Modular Programming

A medium-difficulty assessment of methods, parameters, return values, scope, decomposition, reuse, side effects, abstraction, and recursive design in modular programming.
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08 Objects and Encapsulation

A medium-difficulty quiz on Java objects, classes, constructors, references, aliasing, instance methods, and encapsulation. Questions progress from core concepts to applied reasoning.
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01 Programming Foundations and Problem Solving

A 14-question assessment on programming foundations, computational thinking, data types, control flow, functions, collections, object-oriented design, algorithms, and debugging. The questions progress from foundational application to more integrated problem solving.
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04 Conditionals and Boolean Logic

A medium-difficulty quiz on Boolean expressions, comparison and logical operators, conditional structures, branch ordering, boundary handling, and systematic testing in JavaScript-style programs.
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03 Types and Data Representation

A 14-question quiz on JavaScript types and data representation. It emphasizes applying concepts such as equality, type checking, immutability, numeric behavior, property access, references, serialization, and safe handling of external input.
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02 Variables, Expressions, and Input/Output

A medium-difficulty quiz on Python variables, literals, assignment, expressions, operators, program state, input, conversion, and output. Questions progress from foundational interpretation to multi-step application.
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Flashcards

12

04 Conditionals and Boolean Logic

Learn how Boolean expressions, logical operators, and JavaScript conditional structures control program decisions, including boundaries, branch ordering, testing, and common errors.
Flashcards · Updated

06 Methods and Modular Programming

Learn how methods support modular programming through parameters, return values, scope, decomposition, reuse, testing, and intentional side effects.
Flashcards · Updated

12 Integrated Programming Projects

A focused set of flashcards on designing, implementing, validating, testing, and improving integrated Python programming projects.
Flashcards · Updated

07 Arrays and Collections

A focused review of Java arrays, traversal, searching, aggregation, mutation, multidimensional structures, and array-versus-collection choices.
Flashcards · Updated

10 Inheritance and Polymorphism

A focused set of flashcards covering Java inheritance, overriding, polymorphism, abstract classes, casting, and composition decisions.
Flashcards · Updated

09 Classes and Class Design

A focused set of flashcards covering Java classes, object construction, encapsulation, member types, relationships, and practical class-design principles.
Flashcards · Updated

08 Objects and Encapsulation

Learn how Java classes, objects, constructors, references, methods, and encapsulation work together to model state and protect object invariants.
Flashcards · Updated

11 Testing and Debugging

A focused set of flashcards covering program errors, systematic debugging, trace-based analysis, test design, defensive programming, and reasoning about correctness.
Flashcards · Updated

05 Loops and Repetition

A focused review of Python loops, iteration patterns, state tracking, loop control, termination, nesting, and common search and aggregation algorithms.
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03 Types and Data Representation

A focused review of JavaScript types, references, conversion, checking, strings, and data representations for writing clearer and safer programs.
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02 Variables, Expressions, and Input/Output

Review how Python variables, values, expressions, operators, program state, input conversion, and output work together in basic programs.
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01 Programming Foundations and Problem Solving

A focused review of computational thinking, core programming constructs, object-oriented concepts, algorithms, debugging, and performance analysis.
Flashcards · Updated