Full course description
Importance of Computer Organization and Assembly Language:
Computer scientists should understand Program Execution, Assembly Language, Procedures in Assembly, CPU Design Choices, Data Representation for understanding how each instruction is executed at the micro level. Learning assembly gives computer scientist an intuitive sense of how high-level code will be transformed.
By the end of this short course, learners at a broad level will be able to:
- Explain how programs written in high-level languages are executed by a computer system.
- Explain what hardware factors impact program performance and how to write programs for performance
- Explain data representation, instruction sets, and addressing modes.
- Write assembly language programs employing flow control constructs and procedures.
- Explain techniques used by computer hardware designers to improve performance.
- Explain how a data path can be implemented as a single-cycle or pipelined design.
- Explain how the memory hierarchy impacts performance.
- Explain the reasons for the ongoing transition to multiprocessor architectures.
Who this course is designed for:
Students who are either admitted with prerequisites to graduate programs in Computer Science in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) at Arizona State University or students who are interested in becoming eligible to apply to one of those programs. Students may also complete this course if they have general interest in the topic area or are looking for a refresher on computer organization and assembly language programming.
The course syllabus is available here.
What you'll receive:
You will receive a certificate of completion with your grade that you can attach in your graduate application for any graduate program within CIDSE. You must receive an 80% or higher in order to receive a certificate.
Meet the instructors
Ryan Meuth, Lecturer, CIDSE
In 2013, Ryan Meuth joined Arizona State University in the School of Computing, Informatics, and Decision System Engineering as a lecturer, focusing on Freshman engineering and the first year experience. Since then, he has additionally become the course coordinator for the CSE Capstone Program, ASU101-CSE, and FSE100-CSE. Meuth teaches FSE100-CSE, CSE Capstone, and a variety of CSE program courses focusing on embedded systems. Meuth was awarded the Top 5% Teaching Award in 2014, 2015 and 2016, as well as the Spirit of EPICS award in Spring 2015. Meuth's research interests are focused on the computer science classroom experience, and how that can be improved for all students
Phillip Miller, Lecturer, CIDSE
Phill Miller joined the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University in 2014 after teaching computer science and software engineering courses for 14 years at the University of Advancing Technology in Tempe, AZ.