IBM PC Assembly Language Lecture Notes
This lecture note covers essential topics such as system architecture, assembly processes, DOS file operations, debugging, and Intel 8088 CPU registers, the course emphasizes hands-on learning with practical assignments. The content explores addressing modes, ASCII representation, system calls, segments, logical instructions, and graphics programming. These notes serve as a valuable resource for students seeking proficiency in low-level programming and hardware interfacing on the IBM PC.
Author(s): NA
361 Pages
Lecture notes on PC Assembly Language
This pdf includes Number Systems, Assembly Language, Computer Organization, Creating a Program, Skeleton File, Working with Integers, Control Structures, Translating Standard Control Structures, Shift Operations, Boolean Bitwise Operations, Manipulating bits in C, Big and Little Endian Representations, Counting Bits, Indirect Addressing, Simple Subprogram Example, The Stack, The CALL and RET Instructions, Calling Conventions, Interfacing Assembly with C, Recursive Subprograms, Introduction, Floating Point Representation, Floating Point Arithmetic, The Numeric Coprocessor and Structures.
Author(s): Paul A.Carter
188 Pages
Assembly Language Programming by Richard Pawson
This PDF covers the following topics related to Assembly Language Programming : Fundamentals of assembly language, Introduction to assembly language and ARMlite, Countdown, Matchsticks, Hangman, Indirect & Indexed addressing, The System Stack, and Subroutines, Interrupts, Snake.
Author(s): Richard Pawson, Peter Higginson
79 Pages
Assembly Language Princeton University
The contents include: High Level Languages, Machine Languages, Assembly Languages, Why Learn Assembly Language, Why Learn ARM Assembly Lang, Von Neumann Architecture, Registers and RAM, ALU, Instruction Format, Signed vs Unsigned, 32-bit Arithmetic, 8- and 16-bit Arithmetic, Loads and Stores, Defining Data, Byte Order.
Author(s): Princeton University
57 Pages
Lecture Notes in Assembly Language by Piotr Fulmanski
This note explains the following topics: Simple assembler, Pre-x86 age &
Author(s): Piotr Fulmanski
148 Pages
Machine Learning Practice Lectures
This lecture note covers the following topics: Server Configuration, Python Overview, Pandas and Numpy, Classifiers, Regression, Cross-Validation, Logistic Regression, Support Vector Machines, Decision Trees, Ensemble Methods, Principal Component Analysis, Embedding Methods, Clustering, Semi-Supervised Learning.
Author(s): Andrew H. Fagg
NA Pages
