Computer Organization I: 25 Jul, 26 Jul, 27 Jul 2023 | 9am – 5.30pm | Classroom Learning
Computer Organization II and Introduction to Operating System: 1 Aug, 2 Aug, 3 Aug 2023 | 9am – 5.30pm | Classroom Learning
Duration: 6 Days
This PC will equip learners with the following competencies:
- Data Representation & Number System
- The Single Cycle Processor
- 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
Who Should Attend
Healthcare professionals & mid-career PMETs looking to pivot into roles requiring machine learning competencies.
At least a polytechnic diploma
(Click their photos to view their short biographies)
Dr Aaron Tan
Dr 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
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.
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 firstname.lastname@example.org
To register, click Register
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)
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