Lecture

Seeing Functions as Data: Specific Plot Functions

This module introduces the concept of functions as data, focusing on:

  • Specific plot functions and generic plot functions
  • Using sets with user-defined data types
  • Client callback functions for enhanced functionality

These concepts are vital for leveraging higher-order programming techniques in C++.


Course Lectures
  • This module introduces the Introduction to Computer Science series at Stanford, discussing its philosophy and objectives. Students will learn about the course's logistics and the significance of mastering C++ as a foundational programming language.

  • This module emphasizes the similarities between C++ and Java, covering critical elements such as:

    • Syntax
    • Variable types
    • Operators
    • Control structures

    Students will analyze example C++ code, learning about comments, function declarations, and loops, allowing for a smoother transition from Java to C++.

  • This module focuses on C++ libraries, including the standard libraries and specific CS106 libraries. Topics covered include:

    • Operations on the C++ string type
    • Differences between C++ strings and C strings
    • Live coding examples demonstrating string manipulations

    Understanding these libraries is crucial for effective programming in C++.

  • C++ Console I/O
    Julie Zelenski

    This module covers input and output operations in C++, including console and file I/O. Students will learn about:

    • Stream operations
    • Live coding demonstrations for file handling
    • Passing file streams by reference

    These foundational skills are essential for developing robust applications in C++.

  • Client Use of Templates
    Julie Zelenski

    This module introduces client use of templates in C++. Students will explore:

    • Vector class and its client interface
    • Type safety in templates
    • Implementation of stack and queue classes

    Understanding templates is vital for creating flexible and reusable code in C++.

  • More Containers
    Julie Zelenski

    This module expands upon container classes in C++. Students will discover:

    • Map and set classes, including their client interfaces
    • Live coding examples demonstrating the use of maps
    • Iterator operations for efficient data traversal

    Mastering these containers is essential for effective data management and manipulation in C++.

  • This module introduces the concept of functions as data, focusing on:

    • Specific plot functions and generic plot functions
    • Using sets with user-defined data types
    • Client callback functions for enhanced functionality

    These concepts are vital for leveraging higher-order programming techniques in C++.

  • This module addresses common programming mistakes encountered in C++. Topics include:

    • Concatenating strings
    • Functional recursion
    • Examples of recursion including calculating power and palindromes

    Understanding these pitfalls will enhance students' programming efficacy and efficiency.

  • Thinking Recursively
    Julie Zelenski

    This module emphasizes thinking recursively, contrasting procedural and functional recursion. Students will explore:

    • Fractal programming examples
    • Classic recursion examples like the Tower of Hanoi
    • Live demonstrations of recursive calls and permutations

    These concepts are essential for mastering recursion in C++ programming.

  • Refresh: Permute Code
    Julie Zelenski

    This module provides a refresher on permutation code, focusing on:

    • Tree of recursive calls
    • Live demonstrations with different cases
    • Subset strategies and recursive backtracking

    These strategies are vital for efficiently solving complex combinatorial problems.

  • Backtracking Pseudocode
    Julie Zelenski

    This module introduces backtracking pseudocode, allowing students to tackle problems such as:

    • Sudoku solving
    • Cryptarithmetic challenges
    • Understanding pointers and their operations

    Mastering backtracking is crucial for developing efficient algorithms in C++.

  • Pointer Movie
    Julie Zelenski

    This module provides a visual demonstration of pointer operations and their applications in C++. Key topics include:

    • Basic pointer operations and memory diagrams
    • Dynamic arrays and their implementation
    • Recursive data structures, such as linked lists

    Understanding pointers is fundamental for managing memory efficiently in C++ programming.

  • Coding with Linked List
    Julie Zelenski

    This module covers coding practices with linked lists in C++, focusing on:

    • Printing and deallocating linked lists
    • Recursive strategies for printing
    • Implementing sorted linked lists

    Mastering linked lists is essential for efficient data handling and manipulation in C++.

  • Selection Sort
    Julie Zelenski

    This module introduces sorting algorithms, specifically:

    • Selection sort and its analysis
    • Insertion sort with live demonstration
    • Merge sort: working execution and analysis

    Understanding these algorithms is crucial for optimizing performance in C++ applications.

  • This module focuses on the partitioning technique for quicksort, discussing:

    • Quicksort code and execution
    • Worst-case scenarios and strategies to avoid them
    • Live demonstrations comparing quicksort and merge sort

    These insights are critical for developing efficient sorting algorithms in C++.

  • This module covers the implementation of sort templates with callbacks, highlighting:

    • Supplying callback functions
    • Default callback functions for convenience
    • Class design, member functions, and constructors

    Understanding these concepts is essential for creating flexible and reusable C++ code.

  • Abstract Data Types
    Julie Zelenski

    This module focuses on abstract data types (ADTs) and their importance in programming. Key topics include:

    • The concept of abstraction in programming
    • Creating the vector class and its private data members
    • Dynamic memory management and templating techniques

    Mastering ADTs is crucial for organized and efficient code development in C++.

  • This module outlines the rules of template implementation in C++, covering:

    • The significance of member-wise copy
    • Functionality of the InsertAt function
    • Consequences of contiguous memory usage

    Understanding these rules is vital for effective template programming in C++.

  • This module provides a recap of vector-based implementations, including:

    • Linked list implementation for stack
    • Analysis of push and pop functions
    • Queue implementation strategies

    These concepts are essential for mastering data structures and their practical applications in C++.

  • Buffer: Vector vs Stack
    Julie Zelenski

    This module compares buffer implementations, focusing on:

    • Vector vs stack implementations
    • Doubly linked lists and their advantages
    • Space-time trade-offs in data management

    Understanding these differences will enhance your ability to choose optimal data structures for your applications.

  • Map as Vector
    Julie Zelenski

    This module delves into map implementations, discussing:

    • Binary search trees and their operations
    • Tree traversals and their significance
    • Evaluating map performance in different scenarios

    Understanding these concepts is vital for efficient data retrieval and manipulation in C++.

  • Pathfinder Demo
    Julie Zelenski

    This module features a demo on pathfinding algorithms in graphs, covering:

    • Graph representation in C++
    • Depth-first search (DFS) and breadth-first search (BFS)
    • Graph search algorithms and weighted arcs

    Mastering these algorithms is essential for solving complex problems in C++ programming.

  • This module compares different map implementations, discussing:

    • The concept of hashtables and hash functions
    • Handling hash collisions effectively
    • Live coding demonstrations to illustrate hashing concepts

    Understanding these implementations is crucial for efficient data handling in C++.

  • Lexicon Case Study
    Julie Zelenski

    This module presents a case study on lexicons, illustrating:

    • Lexicon implementations: sorted vectors, binary search trees, and hash tables
    • Exploitations of prefixes and suffixes with trie structures
    • Directed acyclic word graphs (DAWGs) and their efficiencies

    Understanding these structures will enhance your ability to manage and retrieve textual data in C++.

  • Final Showdown
    Julie Zelenski

    This final module encourages students to reflect on design choices in programming, focusing on:

    • Runtime performance and memory usage
    • Code complexity and trade-offs in design
    • Comparison of different data structures for various applications

    These insights are essential for making informed programming decisions in C++.

  • This module provides a comprehensive overview of the C++ language, covering:

    • A quick history of C++ and its philosophy
    • Key language features, including operator overloading
    • An introduction to the Standard Template Library (STL)

    Understanding these concepts will prepare students for advanced programming tasks in C++.