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Ross McGowan

Welcome to the exciting world of Assembly Language Programming. If you've ever wondered what happens at the lowest level of computer operation or sought a deeper understanding of the intricate dance between hardware and software, this course is your gateway. Get ready to embark on a journey that demystifies the binary realm and empowers you to write code that speaks directly to the heart of the machine.

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Welcome to the exciting world of Assembly Language Programming. If you've ever wondered what happens at the lowest level of computer operation or sought a deeper understanding of the intricate dance between hardware and software, this course is your gateway. Get ready to embark on a journey that demystifies the binary realm and empowers you to write code that speaks directly to the heart of the machine.

Our comprehensive course is designed for both beginners and intermediate programmers eager to delve into the realm of assembly language. Starting with the fundamentals, we guide you through the essential concepts like adding two numbers and basic arithmetic operations, gradually building a solid foundation for your programming prowess.

Delve into the intricacies of the instruction set, uncovering the power and efficiency of direct commands that manipulate data at the most fundamental level.

But that's just the beginning. Brace yourself for a thrilling exploration of graphics programming as we dive into our Graphics Library segment. From drawing lines to crafting intricate circles, and even plotting vectors and matrices, you'll transform simple lines of code into visual masterpieces on the screen.

As you advance through the course, you'll encounter complex challenges involving real-world applications. Manipulate complex numbers with finesse, create dynamic strings with our String Library, and witness the convergence of art and logic in the realm of assembly language programming.

Embark on this thrilling journey with us, and by the end of the course, you'll not only be fluent in the language of assembly but also equipped with the skills to unleash your creativity in the digital realm. Join us and unravel the secrets of assembly language programming, where code meets machine in a symphony of logic and precision.

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What's inside

Learning objectives

  • Assembly language programming
  • Mathematics library (vectors , matrices , complex numbers)
  • Graphics library (points , lines , circles)
  • String library (copy , concatenate , length)
  • Fourier series (square wave)
  • Basic arithmetic

Syllabus

Code The Machine
Setup and Files
Add 2 Numbers
Basic Arithmetic
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Traffic lights

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what should give you pause
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Taught by Ross McGowan, who are recognized for their work in x
Develops assembly language programming, graphics programming, and mathematics, which are all highly relevant to computer science
Teaches beginners essential assembly language programming concepts, such as adding two numbers and basic arithmetic operations
Teaches intermediate programmers how to use the instruction set to manipulate data at the most fundamental level
Introduces graphics programming, covering topics such as drawing lines and circles
Provides hands-on labs and interactive materials to enhance understanding

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Reviews summary

Comprehensive assembly and low-level programming

According to students, this "Assembly Language Programming" course offers a comprehensive and rewarding deep dive into the inner workings of computers. Learners frequently praise the instructor's ability to clearly explain complex topics like memory, stack, and instruction sets, making them accessible. The course provides a strong foundation for low-level programming, with many finding the hands-on coding challenges and specific library sections (Graphics, Mathematics, String) particularly insightful. However, some learners note the pace can be challenging for absolute beginners, especially those without a strong mathematical background. A few also highlighted setup difficulties or inconsistent audio quality in parts, and wished for more real-world practical applications.
Solidifies understanding through practical coding exercises.
"I really appreciated the hands-on approach. The coding challenges were well-designed and helped solidify my understanding."
"It’s a great deep dive into how computers actually work at a low level."
"I learned a ton! The demos were very helpful and provided clear examples to follow along with."
Course uniquely explores Graphics, Math, and String libraries in assembly.
"The graphics library section was a highlight, making assembly feel very visual."
"As an electrical engineering student, I found the mathematics library topics (vectors, matrices, Fourier Series) implemented in assembly incredibly insightful."
"I found the string library very useful, and the breadth of topics like numerical methods in assembly is impressive."
Instructor effectively demystifies foundational assembly topics.
"Excellent course for understanding the fundamentals of assembly language. The instructor explains complex topics clearly..."
"I found the instructor broke down the topics well, and the explanations for subroutines and the instruction set were thorough."
"I really appreciated how the course demystifies low-level operations like memory and stack management. It was very clear."
While broad, some desire more depth and practical application context.
"The course doesn't provide enough real-world context for why we're learning these specific assembly operations."
"While the instructor knows the material, I felt the explanations were sometimes hard to follow, and the examples were not always intuitive."
"I expected more practical applications, not just academic concepts, for some of the advanced topics."
Users report difficulties with initial environment setup and files.
"Setup was a nightmare. The provided files were not updated for newer systems, and I spent more time troubleshooting..."
"I found the setup a bit tricky on my specific OS, but eventually got it working after some external research."
"I believe some setup instructions could be more robust, especially for different operating systems."
Some beginners find the course challenging, especially later modules.
"This course is extremely difficult for a true beginner. The jump from basic arithmetic to complex math and graphics was too steep."
"I felt lost quickly without a stronger background in programming and mathematics."
"I felt the course covers too much ground, and some topics felt rushed, especially the numerical methods sections."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Assembly Language Programming with these activities:
Review a Book on Assembly Language Programming
Review a book on assembly language programming to expand knowledge, gain deeper insights, and solidify understanding.
Show steps
  • Read and study the book thoroughly
  • Take notes and summarize key concepts
  • Practice the examples and exercises provided in the book
Discuss Assembly Language Concepts with Peers
Engage in discussions with peers to clarify concepts, exchange ideas, and improve understanding of assembly language programming.
Show steps
  • Join or create a study group
  • Discuss assembly language concepts and challenges
Learn about Assembly Instruction Set
Follow a tutorial to learn about the basic instructions available in assembly language.
Show steps
  • Find an online tutorial or resource that explains assembly instruction set
  • Study the different instructions and their usage
  • Try out the instructions in a simple assembly program
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Adding Numbers in Assembly
Practice adding numbers in assembly language to solidify understanding of basic arithmetic operations.
Show steps
  • Create a small assembly program that adds two numbers
  • Compile and run the program to verify the result
Write an Explanation of Subroutines in Assembly
Write an explanation of subroutines in assembly language to enhance understanding and improve written communication skills.
Browse courses on Subroutines
Show steps
  • Research subroutines in assembly language
  • Write a detailed explanation describing how subroutines work
  • Illustrate the explanation with examples
Build a Simple Calculator in Assembly
Create a simple calculator program in assembly language to reinforce understanding of assembly programming and improve problem-solving skills.
Show steps
  • Design the calculator's functionality and interface
  • Implement the basic arithmetic operations in assembly
  • Create a loop to handle multiple calculations
  • Add input and output capabilities to interact with the user
Develop a Graphics Library in Assembly
Create a graphics library in assembly language to gain practical experience and enhance understanding of graphics programming.
Show steps
  • Design the library's functionality and interfaces
  • Implement the graphics functions in assembly
  • Create a documentation and user guide for the library
  • Test the library and fix any bugs

Career center

Learners who complete Assembly Language Programming will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 49 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Assembly Language Programming.
This encyclopedic treatment presents one of the most comprehensive collections of results on Fourier Series in the literature, with over 1,200 exercises that will support any researcher's work in the area.
Is widely recommended for a first course in linear algebra, providing a solid foundation in the fundamental concepts of vectors, matrices, and linear equations. It emphasizes understanding and applying concepts with a focus on practical applications, making it suitable for students across disciplines. It is commonly used as a textbook at the undergraduate level.
Stein and Weiss take the reader on a historical journey through the development of Fourier analysis while introducing the key principles, applications, and modern perspectives of this area of mathematics.
This comprehensive and rigorous graduate-level textbook that delves deeply into matrix theory. It is an essential reference for researchers and professionals who require a thorough understanding of advanced matrix topics. The book covers a wide range of subjects and is known for its depth and clarity.
This recent textbook is designed for students and professionals in data science, machine learning, and signal processing. It provides an accessible introduction to matrix methods with a strong emphasis on applications in these rapidly evolving fields.
Focuses on the practical applications of linear algebra, particularly in the context of data analysis, statistics, and machine learning. It is well-suited for students and professionals in these quantitative fields and provides a hands-on approach to using linear algebra to solve real-world problems.
Another highly popular book by Gilbert Strang, this text also emphasizes applications and provides a solid introduction to linear algebra. It is often used in undergraduate courses and good resource for gaining a broad understanding of the subject and its relevance in various fields.
Offers a more abstract and theoretical approach to linear algebra, focusing on vector spaces and linear transformations from the outset. It is highly recommended for students who want to deepen their understanding of the underlying mathematical structures. While it may be more challenging for beginners, it valuable resource for advanced undergraduates and graduate students.
This graduate-level text provides a comprehensive treatment of Fourier and Laplace transforms, focusing on applications to engineering and physical sciences. A firm grasp of Fourier Series is assumed.
Provides a comprehensive and applied treatment of Fourier analysis, with a focus on applications in engineering and physical sciences. It includes many worked examples and exercises, and is suitable for advanced undergraduates or graduate students.
This textbook provides a balance of theory and applications, making it a popular choice for undergraduate linear algebra courses. It covers essential topics including vectors, matrix operations, and eigenvalues, with a clear writing style and numerous examples and exercises. It valuable reference and learning resource.
Offers a unique and highly intuitive geometric approach to complex analysis, emphasizing visual understanding. It is excellent for gaining a broad and deep understanding of the subject's geometric aspects and is often recommended as a supplementary text to build intuition. While not a traditional textbook, it greatly enhances comprehension.
Provides a rigorous and detailed treatment of advanced topics in linear algebra, suitable for graduate students and researchers. It covers a wide range of subjects beyond a standard first course and valuable reference for those pursuing further study in mathematics or related fields.
Serves as a rigorous second course in linear algebra using a modern matrix-based approach. It helps upper-level undergraduates and graduate students transition to more advanced topics and applications in mathematics, data science, and physical sciences. It includes numerous exercises and examples.
This recent book by Gilbert Strang focuses on the intersection of linear algebra and data science. It explores how linear algebra concepts, including vectors, are applied in machine learning and data analysis. It is suitable for students and professionals interested in the practical applications of linear algebra in the age of data.
Provides a clear and well-written introduction to complex analysis, suitable for advanced undergraduate and beginning graduate students. It covers essential topics and includes material relevant to various applications, offering a solid foundation for further study. It is often used as a textbook.
Provides a balanced approach to linear algebra, covering both theory and applications. It good choice for undergraduate students who want to see how matrix concepts are applied in various disciplines. The book includes a variety of examples and exercises to help with understanding.
This text provides a solid introduction to the applications of Fourier Series to boundary value problems in partial differential equations, with many worked examples and practice exercises tailored towards engineering and physical science students.
This classic textbook provides a clear and accessible introduction to linear algebra with a focus on computational techniques and applications. It is well-suited for students in high school or early undergraduate programs who are new to the subject. The applications-oriented approach helps to illustrate the practical relevance of matrix concepts.
Offers a comprehensive survey of matrix theory, including a detailed exploration of matrix inequalities. It valuable reference for researchers and graduate students interested in advanced topics in matrix analysis.
Part of the Princeton Lectures in Analysis series, this book offers a rigorous and modern treatment of complex analysis suitable for advanced undergraduates and graduate students. It is known for its challenging exercises and deep insights into the subject.
Another rigorous and comprehensive text, Lang's book is suitable for advanced undergraduates and graduate students. It offers a solid foundation in complex analysis and includes some advanced material, making it useful for those looking to deepen their understanding and explore topics closer to research.
Is designed for students in engineering and science, focusing on the practical applications of complex analysis. It covers essential topics with a focus on techniques and problem-solving relevant to these fields. It useful reference for applying complex numbers in real-world contexts.
This graduate-level text provides a rigorous and in-depth treatment of complex analysis. It is suitable for students seeking a deep theoretical understanding and is often used for graduate courses. It is more advanced and serves as a valuable reference for those pursuing further study in mathematics.
Provides an introduction to linear algebra with a focus on its geometric aspects. It is suitable for students who appreciate a more visual and intuitive approach to the subject and connects linear algebra to geometry.
Focuses on the applications of linear algebra, including a strong emphasis on vectors and their use in solving problems in various disciplines. It is suitable for undergraduate and graduate students interested in the practical aspects of linear algebra.
Is an excellent supplementary resource for anyone studying linear algebra. It provides a concise overview of the key concepts and a large number of solved problems, which are invaluable for solidifying understanding and practicing problem-solving skills. It can be used alongside a primary textbook or for review.
This textbook offers a clear introduction to linear algebra with a focus on matrices and their applications, particularly in engineering. It emphasizes both the theoretical and practical aspects of matrix analysis and includes numerous examples and exercises.
Aims to provide a concise and intuitive understanding of linear algebra, connecting computational techniques with geometric interpretations and theoretical foundations. It is suitable for university-level students and includes real-world applications and examples using SymPy for computational tasks.
Is designed for first-year graduate students and provides a careful explanation of the theorems and concepts in complex analysis. It is praised for its clarity and is suitable for those seeking a deeper understanding beyond a first introduction.
Part of a two-volume set, this book offers a comprehensive and historically rich treatment of complex analysis. It is suitable for graduate students and researchers, providing a deep dive into the theory and its development.
This outline provides a wealth of solved problems and exercises, making it an excellent supplementary resource for students at the undergraduate level. It is particularly useful for solidifying understanding through practice and reviewing fundamental concepts.
Focuses on the computational aspects of linear algebra, which are crucial for professionals in many fields. It covers algorithms and techniques for solving linear systems, eigenvalue problems, and singular value decomposition, all of which heavily rely on vector and matrix operations.
Offers a thorough treatment of complex function theory at the undergraduate level. It is known for its clear exposition and comprehensive coverage of fundamental theorems and concepts. It's a solid choice for students wanting a detailed introduction.
A classic graduate-level text covering real analysis, complex analysis, and functional analysis. Rudin's book is known for its rigor and conciseness, making it a challenging but rewarding read for advanced students seeking a unified understanding of these areas.
This textbook is designed for a first course in complex analysis at the undergraduate level. It aims to provide a clear and accessible introduction to the fundamental concepts and techniques.
This is likely referring to the Schaum's Outline by Murray Spiegel (as listed elsewhere). Schaum's outlines are excellent for practice problems and reinforcing concepts learned in a primary textbook. This would be a valuable supplement for students at various levels.
Provides a concise introduction to complex analysis with a focus on applications for scientists and engineers. It covers fundamental concepts and key theorems with a direct approach.
This comprehensive book covers various mathematical methods used in physics, including a significant portion on vectors, vector spaces, and linear algebra. It is an essential reference for undergraduate and graduate physics students, illustrating the practical application of vector concepts in physical problems.
This influential book in the field of statistical learning and data mining heavily utilizes linear algebra concepts. It showcases the application of vectors and matrices in statistical modeling and valuable resource for graduate students and professionals in data science and machine learning.
Part of the 'Demystified' series, this book offers a more approachable and less formal introduction to linear algebra. It is designed for self-study and provides clear explanations and practice problems, making it suitable for high school students or those starting out in the topic.
Part of the Schaum's Outline series, this book offers a vast collection of solved problems in linear algebra, covering a wide range of topics including vectors. It is an excellent supplementary resource for students to practice and solidify their understanding of the concepts.
Focuses on the geometric and algebraic aspects of complex numbers, offering a problem-solving approach. It is particularly useful for high school and early undergraduate students looking to build a strong foundation in the fundamentals and explore interesting properties through challenging problems.
Covers the fundamental concepts of deep learning, where linear algebra, particularly vector and matrix operations, plays a crucial role. It demonstrates the application of vectors in a contemporary field and is suitable for graduate students and professionals interested in the mathematical underpinnings of AI and machine learning.
Focuses on vector calculus, building upon the foundational understanding of vectors. It covers topics such as vector fields, line integrals, and surface integrals, which are essential in physics and engineering. It is suitable for undergraduate students who have completed a basic linear algebra course.
Delves into convex optimization, a field with significant applications in engineering, finance, and machine learning. Linear algebra, including vector spaces and operations, fundamental tool used throughout the book. It is suitable for graduate students and researchers and serves as a key reference in the field.

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