For more info: http://set.ait.asia/mt/
Nanotechnology
Postgraduate nanotechnology masters courses are a well-recognized means of gain-ing experience in state-of-the-art techniques and applications of nanotechnology. AIT’s nanotechnology program is addressed to the needs of engineers and science back-ground students for entering into this burgeoning technology area. Nanotechnology at AIT focuses on nanomaterials engineering at an international level.
Preferred Background For Master’s Program:
The programme is open to graduates with a bachelor’s in engineering (electrical, chemi-cal, mechanichemi-cal, industrial, telecommunications, computer engineering, electronics, and instrumentation) as well as Bachelor’s of Science (physics and chemistry).
For Doctoral Program:
One should have a good master’s degree in one of the above disciplines.
For more info: http://nano.ait.asia
Field of Study — Industrial and Manufacturing Engineering (IME) ProGram
Code Course Description Semester Offered Prerequisite
AT72.01
Statistical Models and Design of Experiments
Engineering Economy
Quality Control and Management To introduce the student to deterministic models
which can facilitate decision making. Modeling concepts and applications of linear, integer, nonlinear, and dynamic programming as well as network models are addressed. Solution metho-dologies for each type of optimization models are discussed. The student will also learn how to use modeling and optimization software.
To provide the student with a broad based foun-dation of subjects concerning the management of production and operation systems. The vari-ous aspects of production planning, scheduling, control and other related management issues are addressed, enabling students to acquire sufficient background required for the subse-quent specialized courses.
Data analysis and deducing the inferences for decision making are commonly encountered problems in experimental work both in the real field as well as simulation on computers.
The objective of this course is to impart to the students working knowledge of frequently re-quired statistical methods with a special empha-sis on design of experiments.
All engineering and management decisions have economic consequences, such as profit-ability and risk. This course is aimed at provid-ing the necessary background and techniques for economic evaluation of decision alternatives.
Topics such as time value of money, deprecia-tion and taxadeprecia-tion, cost estimadeprecia-tion and cost con-trol, risk and uncertainty in decision-making, and replacement analysis are included.
Quality has been being considered as one of the key competitive advantages in many enter-prises. It is really a powerful strategic business weapon in a highly competitive market nowa-days. This course is developed to help impart to the student knowledge on basic concepts of quality management and quality management system as well as the need of using statistical analysis in quality control and improvement.
Advanced quality control techniques for six-sigma improvement process and various sam-pling techniques for quality inspection are also covered.
This course views the whole project cycle, ad-dressing the managerial, the technical, econom-ic and financial considerations. After completing the course, one is expected to possess the
Field of Study — Industrial and Manufacturing Engineering (IME) ProGram
Code Course Description Semester Offered Prerequisite
AT72.07
Inventory and Logistics Management
Scheduling and Sequencing
Modeling and Simulation of Discrete
Event Systems
Reliability Theory and Maintenance
Traditional decision models are mono criterion and are handicapped in real-life applications.
This course is designed to extend these impor-tant decision models from mono criterion to a more realistic multi criterion framework. Gen-eral approaches and specific techniques which are practical are presented.
To introduce the student into basic and more advanced topics of mathematical modeling process of decision problems in complex sto-chastic industrial environments. This course covers stochastic operations research models, algorithms, and applications. Markov chains and queuing models are discussed. Renewal theory, reliability theory, and stochastic models for manufacturing systems are also taken into consideration. This course also covers the ana-lytical models which are the complements to a discrete event simulation approach. Students will acquire in this course the basis for the study of other probabilistic topics in their curriculum.
This course is aimed at providing the back-ground and skills necessary for effective inventory management at a single and mul-tiple stocking points. Special emphasis is laid on the inventory control models. Introduction to logistic concepts in planning and operations including purchasing and order processing, dis-tribution network planning, and transportation is discussed.
To present a unified systems approach to scheduling and sequencing problems in rela-tion to technological planning. Fundamentals of scheduling methodology and modeling for job shop and flow shop type production systems are presented and their applications discussed in relation to real operating environments.
To impart knowledge and practical experience in simulation modeling of discrete event sys-tems. The principles of modeling, simulation techniques and simulation experiment plan-ning are presented and then applied in project work.
To provide the basic concepts of reliabi- lity, maintainability and availability. This course covers the analysis of failure time distribution,
August
Field of Study — Industrial and Manufacturing Engineering (IME) ProGram
Code Course Description Semester Offered Prerequisite
AT73.02
Engineering Metrology
Product Design and Development
Rapid Prototyping and Manufacturing
sub-tract, or form materials in order to give a desired shape/property to the workpiece. The quality of the workpiece is influenced by several factors, in-cluding material properties, process parameters, tool geometry, and environmental factors. This course instructs techniques for modeling and an-alyzing the mechanics of both conventional and unconventional manufacturing processes.
Knowledge of measurement and instrumen-tation is of increasing importance in industry.
Advances in automated manufacturing and re-quirement to conform to various standards have resulted in a proliferation of computerized and automated inspection techniques along with the classical metrology methods.
Strategies for responding to a market, product idea, existing products, customer needs, product speci-fications, functional requirements of the product(s), technical solutions for meeting the functional re-quirements, decomposition of products into mod-ules for various product-life-cycle reasons, docu-mentation and so on are the important elements of product development. How to consider these ele-ments in a systematic manner, while developing a product, is the focus of this course.
This course will provide fundamental knowledge on rapid prototyping, reverse engineering and their applications in manufacturing. Rapid proto-typing and reverse engineering are technologies, enhancing product design and development process by allowing prototypes to be developed quickly. The students will learn about basic con-cept of RP, RP technologies, slicing techniques, reverse engineering and rapid tooling.
The human musculoskeletal system must be well understood to design and manufacture human implants and devices directly operated by human force. Biomechanics of Human Movement must also be well understood. This course focuses on the human skeleton, actuation and control. Re-lated kinematics and dynamics of human motion is investigated with the purpose of designing bio-mechanical devices focused on Implants.
ISE program is an interdisciplinary program with various fields of study and areas of specializations.
These fields of study and areas of specializations are interconnected to some extent. Hence, it will be good for a student who enrolls in a specific field of study or area of specializations to know also the basic knowledge and research directions in the others. The purpose of this seminar course is, therefore, to give a comprehensive overview on
Field of Study — Mechatronics (MEC) ProGram
Code Course Description Semester Offered Prerequisite
AT74.01
Digital and Analog Circuit Design
AI and Neuro-Fuzzy Theory and spatial systems which are basis for broad classes of mechanisms and machines including Robots. To familiarize the students with the fun-damentals of robot design and programming.
The students will learn in detail about various robot subsystems, robot kinematics, trajectory planning, dynamics, control techniques, and ro-bot programming methods.
The Description behind this course is to provide an understanding of classical control theory, digital control theory, state-space control theo-ry, optimal control theotheo-ry, and also to make the student familiar with the computer aided analy-sis tool, MATLAB, for control system analyanaly-sis.
The Description behind this course is to provide an understanding of the principle and design of sensors and actuators which are the building boxes for Mechatronics systems.
To provide students with an understanding of important electronics building blocks, to impart practical skills for the design, construction, and characterization of such circuits, and to lay the foundation for the understanding of more complicated systems.
To introduce the students to computer control for Mechatronics system, which is one of the three necessary basic skills required for Me-chatronics. The students will be provided with some of the machine intelligence technologies, e.g. Neural Networks, Fuzzy, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimiza-tion, and Artificial Intelligence.
The field of image processing has grown considerably with increased applications in di-verse areas as manufacturing, biology, space and medical. Continuous improvements in speed of digital computers, algorithmic devel-opment and requirement of a high tech envi-ronment makes this field a very active area for academic and industrial research.
To impart knowledge and practical experience in advanced control and programming of au-tomation systems. The principles of advanced
August
Field of Study — Mechatronics (MEC) ProGram
Code Course Description Semester Offered Prerequisite
AT74.09
Robust and Adaptive Control
Selected Topic:
E-Business for Technology
Selected Topic:
Fundamental of Disk Drive Technology
Selected Topic:
Servo Control
Selected Topic:
Thesis Research and Academic Writing This course is aimed at giving the students an
overview on some advanced topics in the auto-matic control field providing them with the basic knowledge required for dealing with more com-plex control problems.
Overview of the principles of electronic busi-ness. Differences and similarities between E-business and traditional E-business. Evolution and trends in conducting e-business on the In-ternet/Web. Key organizational, technological, marketing, supply-chain, legal, and tax chal-lenges and potential solutions. International as-pects. Case studies.
This course introduces the students to techno-logy in hard disc drive industry. It covers both current recording technology and future tech-nology with practical process in Hard Disk Drive (HDD) manufacturing.
System Modeling and Identification Linear Sys-tems and Control Classical Nonlinear Control Composite Nonlinear Feedback Control Track Fol-lowing of a Single-Stage Actuator, Track Seeking of a Single-Stage Actuator, Dual-Stage Actuated Servo Systems, Modeling and Design of a Micro-drive System, Design of a Piezoelectric Actuator System, Advanced Topics in Servo Controller, Servo Track Writer, Spindle Motor Control The graduates are expected to have the abil-ity to evaluate problems effectively and propose practical solutions. Practitioners must be able to conceptualize programs to acquire quantita-tive information, to analyze, interpret data and draw conclusions and to view the practices of research and writing as inseparable dimensions of one process. This course provides students with various research planning approaches and proposal development tools as well as provid-ing necessary writprovid-ing and presentation skills for their thesis research.
First part of this course covers analytical tool for studying a nonlinear system; such as, phase plane analysis, Lyapunov function and describ-ing function. Second part of this course covers major nonlinear controller design techniques;
such as, feedback linearization, sliding control and adaptive control.
Sensor fusion is integration of information from difference type of sensor. Sensor fusion is applied to create one good sensor from at least two sensors in terms of high performance, high
Field of Study — Microelectronics and Embedded Systems (MES) ProGram
Code Course Description Semester Offered Prerequisite
AT81.01 This course serves as an introduction to basic
processes used in fabricating semiconductor devices and integrated circuits. The objective is to develop the background knowledge neces-sary to understand the state-of-the-art semicon-ductor technology related to device fabrication processes.
To provide fundamental concepts in digital sys-tems design. To provide a basic understanding of some computer-aided techniques used in the design verification, synthesis, optimization, and implementation of digital systems.
The purpose of this course is to explore in detail the behavior of CMOS and bipolar transistors with emphasis on those parameters and perfor-mance factors that are particularly important for VLSI devices of deep-submicron dimensions.
This course introduces the students to record-ing head technology in hard disc drive industry.
It covers both current recording technology and future technology with practical process in Hard Disk Drive (HDD) manufacturing.
This course is concerned with theory, analy-sis and design of analog integrated circuits in both Bipolar and MOS technologies. Basic de-sign concepts, issues and tradeoffs involved in analog IC design will be explored. Intuitive understanding and real-life applications will be emphasized throughout the course.
This course focuses on the design and synthe-sis of Very Large Scale Integrated (VLSI) chips using CMOS technology focusing towards the development of an Application Specific Integrat-ed Circuit (ASIC) for complex digital systems using integrated circuit cells as building blocks and employing top-down design methods. ASIC design issues at layout, schematic, logic and RTL levels will be studied. Commercial design software will be used for laboratory exercises.
An overview of hardware description languages (HDL) and VLSI computer-aided design (CAD) tools and theoretical concepts in VLSI archi-tectures and algorithms will also be discussed.
This is a project-oriented course in which the students will be designing and evaluating digital circuits. Weekly assignments will be in the form
Field of Study — Microelectronics and Embedded Systems (MES) ProGram
Code Course Description Semester Offered Prerequisite
AT81.08
Fundamentals of IC Packaging, Assembly
and Test
Mixed Signal IC Design
Nanomaterials and Nanotechnology
This project-oriented course will consist of the specification, design, implementation, fabrica-tion and testing of a large VLSI chip. Advanced CMOS design topics are covered including HW/SW co-design, high speed CMOS and low power design techniques. System level design entities such as data paths (e.g, ALUs, Register Files, Functional Units), memory, controllers, and clock and power distribution schemes. The high-level description language and high-level synthesis tools are also covered as well as Design-For-Testability design issues. Students work in groups of 2 persons to design, imple-ment and test a CMOS impleimple-mentation of a system level design entity such as a microcon-troller, microprocessor, DSP.
Recent advances in photonic devices and fiber optic communication systems have created the need for microelectronics students to have con-siderable exposure to optoelectronic devices.
This course will address the basic principles of common optoelectronic devices including semi-conductor lasers, detectors, imaging tubes and optical fibres to lead the students to understand the operation principles and applications of semiconductor lasers, various photonic detec-tors, imaging devices, fibre optic systems and some modern optoelectronic devices and ap-preciate the rapidly expanding optoelectronics technology.
This course provides an overview and a comparison of electronic systems packaging technologies. It includes design; manufactur-ing; test; IC package assembly; thermal and reliability issues.
The course involves exploiting advanced circuit design concepts to develop models, circuit topologies, and design strategies for high performance CMOS technology mixed-signal integrated circuits.
The emerging field of nanoscience and nano-technology is leading to a disruptive techno-logical revolution. Nanotechnology promises potential to influence our future with diverse applications in consumer goods, electronics, computers, information and biotechnology, aerospace defense, energy, environment, and medicine. Practically all sectors of the economy is expected to be profoundly influenced by nanotechnology in the very near future.
January
Field of Study — Microelectronics and Embedded Systems (MES) ProGram
Code Course Description Semester Offered Prerequisite
AT81.14
AT81.15
AT81.16
AT81.xx
AT 81.xx
Embedded Systems Integration
Embedded Systems Architecture
Real Time Systems
Introductory Solid State Physics
Selected topic:
Head Manufacturing Basics
January
January
January
None
None
None
Basic quantum mechanics.
This project-oriented course will consist of the specification, design, implementation, integra-tion, and testing of an Embedded System. The topics are covered including Embedded Sys-tems HW, Embedded SysSys-tems SW, interfacing, communications, control, design technology, and validation. It should help to motivate stu-dents to put more emphasis on education in em-bedded systems by integrating knowledge from many different areas. Students work in groups of 2 persons to design, implement and test a small Embedded System.
This course focuses on complexities of embed-ded system design including multiprocessors, VLIW, and superscalar architectures, and power consumption. Fundamental challenges in em-bedded computing are described, together with design methodologies and models of computa-tion. It also provides an in-depth and advanced treatment of all the components of embedded systems with discussions of the current devel-opments in the field and numerous examples of real-world applications.
This course focuses on complexities of real-time systems including OS kernels, schedul-ing, semaphore, message queue, I/O systems, memory management, synchronization, and communication. Fundamental challenges in real-time embedded computing are described, together with design methodologies and models of computation. The objects and services that are a part of most Real-Time Operating System kernels are described and real-time system de-sign is explored in detail.
This course serves as an introduction to solid state physics with the emphasis on the elec-tronic structure of solid elements. The aim of the course is to give an understanding of intrinsic and extrinsic semiconductors. The course will also deal with the properties of different mag-netic materials and give some insight of the in-dustrial use of magnetic materials.
The course is designed to provide graduate student studying disc drive technology a deep knowledge and understanding of the core man-ufacturing technology in both theoretical and applications-oriented environments.
Field of Study — Microelectronics and Embedded Systems (MES) ProGram
Code Course Description Semester Offered Prerequisite
AT81.xx Selected Topic:Basic Hard Disk Drive
Technology
The course is designed to provide Masters student, as well as engineers, academics and government officials interested in the disc drive industry, a true understanding of this core technol-ogy in both theoretical and applications-oriented environments. The course outline is developed by Seagate expertises to give the fundamental un-derstanding of the hard disc drive and advanced engineering technology required for future gen-erations of storage systems. The course covers the current frontiers of magnetic recording, optical data storage, probe based systems, holographic, and factory of the future.
August None