Dates: 1 Aug, 2 Aug, 3 Aug 2023 | 9am – 5.30pm | Classroom Learning
Duration: 3 Days
Course Overview
This module is to familiarise students with the basics of data representation, and fundamental digital circuits. This allows students to delve deeper into the construction of a computer system. Topics covered include data representation systems, combinational and sequential circuit design techniques.
This module is part of Professional Certificate in Computer Organisation.
Course Objectives
This course will equip learners with the following skills and knowledge:
- Computer System Performance
- Input and Output Devices
- Introduction to Operating System
- Operating System Architecture
- Process Abstraction & Scheduling
- Process Alternative – Thread
Who Should Attend
Data / AI / System / Software Engineers
Prerequisites
Have knowledge of:
- Data Representation & Number System
- The Single Cycle Processor
- Pipelining
- SuperScalar, MultiCore
- Memory Hierarchy
- Cache Organization
Course Conveners
(Click their photos to view their short biographies)
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 Code:
TGS-2022012315 (Classroom Learning)
TGS-2022012316 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older