Computer Science 242 3 College Credits NCCRS Credit Recommended

Programming
in C++

The language behind games, systems software, and performance-critical applications. C++ taught with depth, clarity, and real-world purpose.

NCCRS Recommended 3 Credit Hours Self-Paced
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Self-Paced · Final Exam · NCCRS Recommended

What You'll Learn

A full semester of programming in C++ — completed at your own pace, with no deadlines or fixed class times.

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Learning Outcomes

What You'll Be Able to Do

  • Master variables, control structures, and functions, and define the critical role of algorithms in computational problem-solving
  • Acquire skills in pseudocode for mapping out algorithmic processes and delve into essential elements of C++ programming, such as data types, loops, and arrays
  • Apply object-oriented programming principles to create modular and reusable code structures through classes, inheritance, and polymorphism; and critically assess memory management and pointer manipulation for real-world software development
Topics Covered

Major Course Topics

Fundamentals of computer programming
Programming logic & pseudocode
Algorithms & problem-solving
C++ language evolution & structure
Object-oriented programming concepts
Data types, variables & arithmetic
Branching: IF, ELSE & Switch statements
Loops: For, While & Do-While
Arrays & vectors
String & text data handling
Functions, scope & recursion
Classes, constructors & encapsulation
File handling & I/O streams
Pointers & dynamic memory management
Inheritance & polymorphism
Advanced OOP: access specifiers & overriding
From the syllabus · Computer Science 242

Course chapters and lessons

Programming in C++ has 11 chapters across 51.5 instructional hours, as listed in the course syllabus. Expand any chapter to see the lessons inside it.

Chapters
11
Lessons
84
Instructional hours
51.5 hrs
Semester hours
3
11 chapters  ·  84 lessons  ·  3 semester hours
Chapter 1

Foundations of Programming Thought

7 lessons · 3.5 hrs
  1. 1.1 Why Learn to Code? The Purpose and Relevance of Programming
  2. 1.2 Five Core Ingredients That Every Software Program Shares
  3. 1.3 The Relationship Between Logical Thinking and Code Structure
  4. 1.4 Sketching the Logic First: How Pseudocode Prevents Wasted Effort
  5. 1.5 Sequential Problem-Solving: Constructing Reliable Algorithms
  6. 1.6 The Build-Run-Fix Workflow: How Software Gets from Idea to Execution
  7. 1.7 How C++ Came to Be: Origins, Architecture, and Modern Relevance
Chapter 2

Setting Up and Writing Your First C++ Programs

8 lessons · 4 hrs
  1. 2.1 What Separates C++ from Its Predecessor C?
  2. 2.2 Preparing Your Machine: Tools and Configuration for C++ Development
  3. 2.3 Professional Habits: Indentation, Annotation, and Readability Standards
  4. 2.4 Representing Quantities: How C++ Categorizes Numeric Information
  5. 2.5 Named Containers for Data: What Variables Do and Why They Exist
  6. 2.6 Putting Data into Variables: Techniques for Value Assignment
  7. 2.7 Writing and Executing Your Very First C++ Output Program
  8. 2.8 Number Crunching in Code: Operators, Precedence, and Arithmetic Expressions
Chapter 3

Object-Oriented Thinking and Interactive Programs

5 lessons · 2.5 hrs
  1. 3.1 Procedure-Driven vs. Object-Driven Development: A Side-by-Side Comparison
  2. 3.2 Anatomy of OOP: How Objects, Classes, and Methods Interact
  3. 3.3 Embedding Object-Oriented Principles into C++ Codebases
  4. 3.4 Two-Way Communication: Capturing User Input and Printing Results
  5. 3.5 From Concept to Code: Planning and Scoping Your First C++ Project
Chapter 4

Decision-Making in Code

8 lessons · 4 hrs
  1. 4.1 Comparing Values in Code: How Relational Expressions Produce True or False
  2. 4.2 Layering Multiple Conditions with AND, OR, and NOT Operators
  3. 4.3 Mapping Decision Paths Visually Before Writing Conditional Code
  4. 4.4 Routing Execution with IF, ELSE, and Combined IF-ELSE Blocks
  5. 4.5 Selecting Among Many Options: The Switch-Case Mechanism
  6. 4.6 Deeply Nested Conditions: Combining Multiple Layers of Logic
  7. 4.7 Real-World Decision Scenarios: Applying Conditional Logic to Practical Tasks
  8. 4.8 When Code Needs to Repeat: The Rationale Behind Loops
Chapter 5

Mastering Loops and Iteration

8 lessons · 4 hrs
  1. 5.1 Counter-Based Iteration: The For Loop and How It Operates
  2. 5.2 Dissecting the For Loop: Step-by-Step Execution and Output Tracing
  3. 5.3 Running Until a Condition Fails: The While Loop Mechanism
  4. 5.4 Execute First, Check Later: How the Do-While Loop Differs
  5. 5.5 Placing Loops Inside Loops: Nested Iteration for Multi-Layered Problems
  6. 5.6 Interrupting and Skipping: Break, Continue, and Other Flow Controls
  7. 5.7 Avoiding Traps: Infinite Loops, Boundary Errors, and Debugging Strategies
  8. 5.8 Real-World Repetition Scenarios: Applying Loop Structures to Practical Tasks
Chapter 6

Arrays, Vectors, and Multi-Dimensional Data

6 lessons · 3 hrs
  1. 6.1 Grouping Related Values Under One Name: Arrays and Vectors Introduced
  2. 6.2 Building Single-Row Collections: Declaring One-Dimensional Arrays
  3. 6.3 Filling Arrays with Starting Data: Initialization Approaches and Defaults
  4. 6.4 Feeding Array Data into Functions: Syntax and Behavioral Nuances
  5. 6.5 Tables in Code: Declaring and Navigating Multi-Dimensional Arrays
  6. 6.6 The Magic Square Puzzle: A Logic and Pattern Recognition Exercise
Chapter 7

Text Processing and String Operations

8 lessons · 4 hrs
  1. 7.1 Single Characters and Sequences of Text: How C++ Treats Textual Data
  2. 7.2 Pre-Built Utilities for Slicing, Searching, and Modifying Text
  3. 7.3 Assembling, Editing, and Rearranging String Content Programmatically
  4. 7.4 The String Class Toolkit: Properties, Methods, and Practical Usage
  5. 7.5 Presenting Text Precisely: Alignment, Spacing, and Display Control
  6. 7.6 Guarding Against Bad Data: Techniques for Validating User Input
  7. 7.7 Applied Challenge: Building, Sorting, and Searching Dynamic Vectors
  8. 7.8 Applied Challenge: Integrated Exercises Combining Arrays with Text Processing
Chapter 8

Functions, Recursion, and Code Reuse

8 lessons · 4 hrs
  1. 8.1 Dividing Programs into Callable Units: The Mechanics of Functions
  2. 8.2 Ready-Made Functionality: Tapping into the C++ Standard Library
  3. 8.3 Lifetime and Reach: Where Variables Exist and When They Disappear
  4. 8.4 Behind the Scenes: How the Compiler Manages Variable Storage
  5. 8.5 Copying vs. Linking: How Arguments Travel Between Caller and Function
  6. 8.6 One Function Name, Multiple Behaviors: Overloading in Action
  7. 8.7 Functions That Repeat Themselves: The Mechanics of Recursive Calls
  8. 8.8 Applied Challenge: Breaking Complex Tasks into Cooperating Functions
Chapter 9

Structs, Classes, and File Operations

10 lessons · 5 hrs
  1. 9.1 Bundling Related Fields into One Unit: How Structs Organize Data
  2. 9.2 Making Structs Smarter: Adding Functions and Flexible Containers
  3. 9.3 Embedding Behavior Within Data Structures: Classes with Member Functions
  4. 9.4 Giving Objects a Starting State: Variable Initialization Inside Classes
  5. 9.5 Flexible Object Creation: Defining Multiple Constructor Versions
  6. 9.6 Simplifying Complexity: Designing Clean Interfaces with Abstract Types
  7. 9.7 Tracking Down Class Bugs: Frequent Mistakes and How to Resolve Them
  8. 9.8 Opening Channels to External Files: Stream Objects and Their Purpose
  9. 9.9 Sending Information Out and Pulling Information In: File Read/Write Operations
  10. 9.10 Applied Challenge: Building a Complete Student Record System with Classes
Chapter 10

File Management and Memory Fundamentals

9 lessons · 4.5 hrs
  1. 10.1 Jumping Directly to Specific Records: Non-Sequential File Access Techniques
  2. 10.2 Decimal and Text Data in File Streams: Precision and Formatting Concerns
  3. 10.3 Applied Challenge: Designing a Simple File-Driven Record System
  4. 10.4 Applied Challenge: End-to-End File Operation Exercises
  5. 10.5 Variables That Hold Addresses: How Pointers Navigate Memory
  6. 10.6 The Memory Landscape: Stack, Heap, and How Programs Use Each Region
  7. 10.7 Borrowing and Returning Memory at Runtime: Dynamic Allocation Mechanics
  8. 10.8 Hunting Silent Failures: Strategies for Detecting and Eliminating Memory Leaks
  9. 10.9 Applied Challenge: Memory Lifecycle Drills — Allocate, Use, and Release Safely
Chapter 11

Inheritance, Polymorphism, and Advanced OOP

7 lessons · 4 hrs
  1. 11.1 Extending Existing Blueprints: How Child Classes Inherit from Parents
  2. 11.2 Gatekeeping Data Access: Public, Private, and Protected Boundaries
  3. 11.3 Rewriting Inherited Behavior: How Derived Classes Override Parent Methods
  4. 11.4 Shielding Internal Details: Why Encapsulation Strengthens Software Design
  5. 11.5 One Call, Different Responses: How Polymorphism Enables Flexible Code
  6. 11.6 Applied Challenge: Hand-Crafting Linked Lists Using Pointer Chains
  7. 11.7 Applied Challenge: A Capstone Exercise Uniting Inheritance, Polymorphism, and Dynamic Memory

These chapters come straight from the official course syllabus, which also sets out the graded assignment and the proctored final exam.

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Build real software skills with Programming in C++.

The language behind games, systems software, and performance-critical applications. C++ taught with depth, clarity, and real-world purpose.

🎯 Why It Matters

  • Write clean, efficient code from day one
  • Build practical programming skills employers actually want
  • Understand core concepts that transfer across languages
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FAQ

Common Questions Answered.

Everything you need to know about Programming in C++ — credits, grading, transfer, and how it compares to traditional options.

What is Programming in C++?
Programming in C++ is a hands-on college-level programming course. It is Computer Science 242 — worth 3 credit hours, carrying an NCCRS recommendation.
Do I need prior programming experience?
No prior experience is required. The course is designed to take you from fundamentals to practical competency, with structured lessons and exercises that build your skills step by step.
Is the Programming in C++ course self-paced for college credit?
Yes. The course is fully self-paced with no deadlines or fixed class times. Most students complete it in 28–30 days, but you can move faster or slower depending on your schedule.
How many college credits is Programming in C++ worth?
This course carries an NCCRS recommendation for 3 semester credit hours in Computer Science, Electrical, or Computer Engineering. UPI Study courses follow the same evaluation standard used across thousands of colleges and universities.
How is the Programming in C++ course graded? Are there exams?
Yes — grading has four equal parts: 25% attendance, 25% quizzes, 25% assignments, and a 25% final exam. A score of 70 or above is required to pass.
Will my university accept Programming in C++ credits from UPI Study?
Check our Find My College directory. If your university recognizes NCCRS credit recommendations, UPI Study courses can be considered; the final decision is with the university. You can also book a free call with our team.
Why take Programming in C++ online instead of at a traditional university?
A traditional university course in this subject typically costs $500–$1,500+ per credit hour and requires fixed schedules, campus attendance, and semester timelines. UPI Study covers the same NCCRS-recommended content at $250 total, with no deadlines and no campus requirement.
Can international students take Programming in C++ for college credit?
Yes. UPI Study courses carry an NCCRS recommendation — recognized by cooperating institutions in the U.S., Canada, the UK, and other countries. Students have submitted credits across 26+ countries.
Do I need C before C++ for Programming in C++?
No — the course teaches C++ from the ground up, though prior C or any programming experience shortens the curve.
Why is C++ still worth learning?
It powers game engines, high-performance systems, finance infrastructure, and much of the software industry's core tooling.
Is C++ harder than Python or Java?
Generally yes — manual memory control and more complex syntax make it more demanding, and more valuable on a resume for systems roles.
Will Programming in C++ count toward a CS degree?
Commonly as a core programming course or CS elective — your registrar can confirm the equivalency in minutes.
Where will my college put this credit?
Usually as transfer credit, credit for prior learning (CPL), or noncollegiate/alternative credit, the same route colleges use for professional training evaluated by NCCRS. The final decision is with the university.

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This course is NCCRS-recommended for 3 semester credit hours. Transfer as many credits as your university allows — students have transferred anywhere from 3 to 90+ credits depending on their school's policy.

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Structured lessons covering every topic — designed as a standard Programming in C++ college-level course.

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