This module explores data types in C and C++, examining their interpretations, sizes, and memory representations. Key topics include:
Students will gain insights into how data types are represented in memory and the importance of type conversions in programming.
This module provides an overview of the course structure and administrative details, including important information about exams, assignments, and communication channels. Students will learn about:
This foundational knowledge will set the stage for a deeper understanding of various programming paradigms throughout the course.
This module explores data types in C and C++, examining their interpretations, sizes, and memory representations. Key topics include:
Students will gain insights into how data types are represented in memory and the importance of type conversions in programming.
This module focuses on converting between types of different sizes using pointers. Students will learn about:
By mastering these concepts, students will enhance their understanding of memory management and data manipulation in C and C++.
This module covers the creation of a generic swap function for data types of arbitrary size. Key topics include:
Students will understand the pros and cons of using generics in C and C++ and learn about potential errors that can arise from improper usage.
This module introduces the prototype for a generic linear search function. Topics covered include:
Students will learn how to implement and utilize generic algorithms effectively, as well as understand the implications of type compatibility during comparisons.
This module elaborates on the integer stack implementation, focusing on constructors and destructors. Key learning points include:
Students will gain practical skills in managing stack memory, understanding the importance of memory management in dynamic data structures.
This module covers memory ownership issues, specifically in stack implementations. Key concepts include:
By the end of this module, students will understand the implications of memory management in software development and the importance of proper memory cleanup.
This module focuses on heap management and how allocation information is stored. Key topics include:
Students will learn about the internal workings of memory management, including allocation strategies and the importance of efficient memory usage.
This module illustrates how code snippets are translated into assembly instructions. Topics covered include:
Students will gain insights into the lower-level operations that underlie high-level programming constructs and how they translate into machine instructions.
This module provides more detail on activation records and the memory layout during function calls. Key concepts include:
Students will understand the function call mechanics and the role of activation records in managing function parameters and return addresses.
This module compares C code generation to C++ code generation, focusing on a basic swap example. Key topics include:
Students will gain insights into how different paradigms affect code generation and memory handling, particularly in object-oriented programming.
This module introduces preprocessing commands in C and C++. Key topics include:
Students will learn practical applications of preprocessing commands and their impact on the compilation process, enhancing code maintainability.
This module reviews the compilation process of a simple program, highlighting several key aspects. Students will cover:
Understanding these concepts will help students navigate common compilation challenges and improve their debugging skills.
This module contrasts sequential programming with concurrent programming. Key topics include:
Students will comprehend the complexities of concurrent programming and the challenges it poses in managing shared data safely.
This module examines the transition from sequential to concurrent programming using a ticket sale example. Key learning points include:
Students will analyze how to effectively transition existing applications to leverage concurrency, identifying potential pitfalls in the process.
This module provides a detailed review of semaphore operations in concurrent programming. Key topics include:
Students will learn how to implement semaphores effectively in their concurrent applications to ensure safe and predictable behavior.
This module continues the exploration of the dining philosopher problem, emphasizing its implications in concurrent programming. Key aspects include:
Students will gain insights into designing systems that effectively manage concurrency while avoiding common pitfalls such as deadlock.
This module introduces the ice cream store concurrency problem, involving multiple threads for customers, cashiers, and clerks. Key learning points include:
Students will work on writing and implementing thread functions, gaining practical experience in designing and managing concurrent systems.
This module introduces students to the functional paradigm using Scheme. Key topics covered include:
Students will learn to express functions as lists and gain hands-on experience with recursive functions and fundamental operations in Scheme.
This module tackles the Car-Cdr recursion problem in Scheme, allowing students to deepen their understanding of functional programming. Key concepts include:
Students will practice writing recursive functions and discover the nuances of function evaluation in a functional programming context.
This module covers the Kawa development environment, focusing on evaluating expressions and loading function definitions. Key topics include:
Students will enhance their skills in functional programming by utilizing various mapping techniques and evaluating expressions dynamically.
This module focuses on writing a recursive power set function in Scheme, emphasizing the power of recursion. Students will learn about:
Students will practice implementing powerful recursive algorithms that showcase the effectiveness of functional programming paradigms.
This module covers the Scheme memory model, detailing how memory is allocated and managed. Key points include:
Students will gain insights into memory management in functional programming and understand how memory allocation affects performance.
This module provides an overview of Python, highlighting its features and applications. Key topics include:
Students will learn how to execute basic statements and utilize Pythonâs powerful features to manage data effectively.
This module delves into Python's object model, focusing on how objects are structured and utilized. Key topics include:
Through practical examples, students will learn the intricacies of Pythonâs object model, including object references and copying mechanisms.
This module addresses XML processing in Python, highlighting two different processing models. Key points include:
Students will gain practical experience in XML handling and learn how to effectively implement XML parsers in their applications.
This module introduces Haskell, focusing on its unique features and advantages. Key topics include:
Students will learn about Haskell's lazy evaluation and its implications for function definitions, enhancing their functional programming skills.