Dates: 25 Jul, 26 Jul, 27 Jul 2023 | 9am – 5.30pm | Classroom Learning
Duration: 3 Days
Course Overview
This module is to familiarise students with the fundamentals of computing devices. Through this module, students will understand how the various parts of a computer work, separately and with each other. This allows students to understand the issues in computing devices, and how these issues affect the implementation of solutions. Topics covered include assembly language, processor execution cycles, pipelining, memory hierarchy and input/output systems.
This module is part of Professional Certificate in Computer Organisation.
Course Objectives
This course will equip learners with the following skills and knowledge:
- Data Representation & Number System
- The Single Cycle Processor
- Pipelining
- SuperScalar, MultiCore
- Memory Hierarchy
- Cacahe Organiztion
Who Should Attend
Data / AI / System / Software Engineers
Prerequisites
Diploma Holders
Course Conveners
(Click their photos to view their short biographies)
Dr Aaron Tan
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).
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-2022012329 (Classroom Learning)
TGS-2022012330 (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