Dates:
Computer Organization I:
To be advised
Computer Organization II and Introduction to Operating System:
To be advised
Duration: 6 Days
Course Overview
Computer Organisation is a fundamental course in computer science and engineering that focuses on understanding the internal structure and operation of a computer system. It explores the hardware components and their interactions that enable a computer to execute instructions and perform tasks.
Computer Organisation is important for an organisation for several reasons:
• Understanding System Architecture: Computer Organisation provides insights into the internal structure and components of a computer system. This knowledge helps organisations make informed decisions when selecting and configuring computer systems that align with their specific requirements. It allows them to understand the capabilities and limitations of the hardware, enabling better utilisation of resources.
• Efficient Resource Management: By understanding computer organisation, organisations can optimise the utilisation of hardware resources. This includes managing memory effectively, designing efficient algorithms, and utilising the available processing power efficiently. Proper resource management can lead to improved performance, reduced costs, and enhanced productivity.
• System Design and Development: Computer Organisation knowledge is crucial in designing and developing computer systems, whether it’s building custom hardware solutions or developing software that leverages the underlying hardware efficiently. It enables organisations to develop systems that meet their specific needs, ensuring compatibility, performance, and reliability.
• Performance Optimisation: Computer Organisation knowledge plays a vital role in optimising system performance. By understanding the hardware architecture, organisations can develop software that takes advantage of specific hardware features, such as parallelism, pipelining, and caching. This optimisation can result in faster execution times, improved response rates, and better overall system performance.
• Future Technology Trends: Computer Organisation provides a foundation for keeping up with evolving technologies and trends in computer systems. It enables organisations to understand and adapt to new hardware advancements, such as multicore processors, advanced memory architectures, and emerging paradigms like quantum computing. This knowledge helps organisations stay competitive and make informed decisions regarding hardware upgrades and investments.
Course Objectives
This PC will equip learners with the following competencies:
- Data Representation & Number System
- The Single Cycle Processor
- Pipelining
- SuperScalar, MultiCore
- Memory Hierarchy
- Cache Organisation
- Computer System Performance
- Input and Output Devices
- Introduction to Operating System
- Operating System Architecture
- Process Abstraction & Scheduling
- Process Alternative – Thread
Job Role Readiness
It will prepare learners in the following job roles to perform their responsibilities more effectively:
- Data / AI / System / Software Engineers
Programme Structure
Who Should Attend
Healthcare professionals & mid-career PMETs looking to pivot into roles requiring machine learning competencies.
Prerequisites
At least a polytechnic diploma
Course Conveners
(Click their photos to view their short biographies)
Assoc Prof Aaron Tan
Aaron Tan
Assoc Prof Aaron Tan is an Associate Professor and Assistant Dean at the Department of Computer Science at the National University of Singapore School of Computing.
Aaron’s interests lie in programming and data structures. He is currently teaching programming methodology, data structures and algorithms, discrete mathematics and computer organisation.
Aaron has won several teaching awards both at the school level as well as university level in the period from 1999 through 2010, and has been placed on the honour roll since 2010.
Dr Natarajan Prabhu
Dr Natarajan Prabhu
Dr Natarajan Prabhu is currently a lecturer in the School of Computing at the National University of Singapore. He has 10+ years of experience in teaching for master’s degree programs, undergraduate modules, and continuing education courses. Before joining NUS, he was teaching at DigiPen Institute of Technology, where he taught AI for Games, Digital Image Processing, Machine Learning, Deep Learning, Data Structures, etc. In DigiPen, he developed a master’ degree program for Computer Vision that primarily prepares graduate students to work in the CV industry. After joining NUS as a lecturer, he is currently working on developing and teaching an AI module for non-CS students in Blended learning.
He graduated with a Ph.D. degree from NUS in 2013, a master’s degree, and a bachelor’s degree from Anna University in 2008 and 2006, respectively. His Ph.D. thesis was about automatically controlling and coordinating multiple active cameras in surveillance networks. During this time he has gained rich experience in building multi-camera surveillance systems. He has received “Best PhD Forum Paper” award from International Conference on Distributed Smart Cameras (Hong Kong, 2012) and “Research Achievement Award” from School of Computing, NUS (2012).
Dr Nitya Lakshmanan
Nitya Lakshmanan
Dr Nitya Lakshmanan is currently a Lecturer at the School of Computing, National University of Singapore. She obtained her Bachelor’s degree in Computer Science and Engineering from Mahatma Gandhi University, Kerala in 2008, Master’s degree from Anna University, Chennai in 2011. She graduated from the National University of Singapore with a Ph.D. degree in 2022. Her thesis focuses on identifying side channels in modern wireless systems that can be exploited to violate user privacy. Her work has been acknowledged in the GSMA Hall of Fame for discovering a new security vulnerability involving mobile phones.
She has worked for 5 years in engineering colleges in India and has prior experience in teaching networking and programming course.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Codes
Computer Organization I: TGS- 2022012329 (Classroom Learning) / TGS-2022012330 (Synchronous e-learning)
Computer Organization II and Introduction to Operating System: TGS- 2022012315 (Classroom Learning) / TGS- 2022012316 (Synchronous e-learning)