Data Types - Interpretations

Lecture Description

C/C++ Data Types - Interpretations, Sizes, Bits- How Bytes are Broken Up into Bits, Breaking Up a Character's Decimal Value into its Underlying Bit Structure, Shorts - Interpreting Data that Consists of More Than One Byte, Representations of Negative Numbers, The Sign Bit, Two's Complement Addition, Converting Between Chars and Shorts, How the Bit Representation is Transferred, Converting Between ints and shorts, Sign Extending During Conversion, Floats, Converting Between Integers and Floats

Course Description

Topics include: Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms; the functional paradigm (using LISP) and concurrent programming (using C and C++); brief survey of other modern languages such as Python, Objective C, and C#.

Prerequisites: Programming and problem solving at the Programming Abstractions level. Prospective students should know a reasonable amount of C++. You should be comfortable with arrays, pointers, references, classes, methods, dynamic memory allocation, recursion, linked lists, binary search trees, hashing, iterators, and function pointers. You should be able to write well-decomposed, easy-to-understand code, and understand the value that comes with good variable names, short function and method implementations, and thoughtful, articulate comments.

Related Resources

Transcript   |  Introducing the STL   |  Unix Basics   |  Computer Architecture   |  Arrays the Full Story

Course Index

1. Introduction to Programming Paradigms Course
2. Data Types - Interpretations
3. Converting Between Types of Different Sizes and Bit Representations Using Pointers
4. Creating a Generic Swap Function for Data Types of Arbitrary Size
5. Generic Lsearch - Prototype
6. Integer Stack Implementation - Constructor and Destructor
7. Problems with Ownership of Memory
8. Heap Management - How Information about Allocations are Stored in the Heap
9. How a Code Snippet is Translated into Assembly Instructions
10. More Detail about Activation Records - Layout of Memory During a Function Call
11. Moving from C Code Generation to C++ Code Generation: Basic Swap Example
12. Preprocessing Commands
13. Review of Compilation Process of a Simple Program
14. Sequential Programming vs. Concurrent Programming
15. Transitioning from Sequential Programming to Concurrent Programming in the Ticket Sale Example
16. Semaphores
17. Review of the Dining Philosopher Problem
18. Ice Cream Store Problem
19. Introduction to the Functional Paradigm (Scheme)
20. Car-Cdr Recursion Problem
21. Introduction to the Kawa Development Environment: Evaluation of Expressions
22. Writing a Recursive Power Set Function in Scheme
23. Scheme Memory Model
24. Overarching Features of Python
25. Python Object Model
26. XML Processing and Python
27. Introduction to Haskell