30.07.2014 Views

Undergraduate Catalog, Academic Year 2011 - Sirindhorn ...

Undergraduate Catalog, Academic Year 2011 - Sirindhorn ...

Undergraduate Catalog, Academic Year 2011 - Sirindhorn ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Sirindhorn</strong> International Institute of Technology<br />

<strong>Undergraduate</strong> <strong>Catalog</strong> <strong>2011</strong><br />

Emphases are placed on first-order ordinary differential<br />

equations; linear ordinary differential equations of<br />

higher order; power series representation and gamma<br />

functions; Laplace and inverse transform methods;<br />

mathematical modeling, computers, and error analysis;<br />

fundamentals of unconstrained and constrained<br />

optimizations such as golden-section search, quadratic<br />

interpolation, gradient methods, and linear<br />

programming; least-squares regression; interpolation.<br />

Some heuristic algorithms such as Simulated Annealing,<br />

Particle Swarm Optimization, etc., will also be<br />

introduced. The implementation of these techniques<br />

using mathematical software packages, e.g., MATLAB<br />

and/or LINGO, for Industrial Engineering applications will<br />

also be covered.<br />

IES 301 Manufacturing Tools and 3(2-3-4)<br />

Operations<br />

Prerequisite: None<br />

This course emphasizes fundamentals of engineering and<br />

measurement, particularly the correct and safe use of<br />

machine tools. Students are provided with hands-on<br />

experience in fitting, welding, foundry, and fabrication.<br />

IES 302 Engineering Statistics 3(3-1-5)<br />

Prerequisite: MAS 117 or GTS 117 or<br />

consent of Head of School<br />

This course discusses fundamentals of probability,<br />

discrete and continuous probability distributions,<br />

conditional probability, moment generating functions,<br />

discrete and continuous random variables, sampling<br />

distributions, hypothesis testings of the means,<br />

variances, and proportions. Regression analysis will also<br />

be introduced.<br />

IES 303 Engineering Management and 3(3-0-6)<br />

Cost Analysis<br />

(For non-industrial engineering students)<br />

Prerequisite: None<br />

The course presents a broad and fundamental view of<br />

management systems (in both classical and modern<br />

aspects), including structures and functions of<br />

interrelated departments. Philosophy and quantitative<br />

aspects of inventory management, quality assurance,<br />

project management, etc. are emphasized. Students are<br />

also introduced to basic concepts and applications of an<br />

economic evaluation of engineering projects. Topics<br />

covered include interest formulas, time value of money,<br />

economic decision making involving several alternatives,<br />

etc. This course is not intended for industrial engineering<br />

students.<br />

IES 304 Industrial Engineering Training 0(0-0-0)<br />

Prerequisite: Junior standing<br />

Students are provided with on-the-job training at<br />

selected modern industrial or service facilities. The<br />

purpose of the course is to allow the students<br />

opportunities to observe how industrial engineers<br />

function, to learn how to collaborate with co-workers,<br />

and to develop self-responsibility. The training period<br />

must not be less than 240 hours. Students must submit a<br />

report at the end of the training period. Satisfactory (S)<br />

or unsatisfactory (U) grade will be given based on<br />

student’s performance, quality of the report, and<br />

supervisor’s comments.<br />

IES 305 Senior Project I 1(0-3-0)<br />

Prerequisite: Senior standing or<br />

consent of Head of School<br />

The first course in the senior project course series. A<br />

student team will be given a real world problem which<br />

they must determine appropriate approaches and actions<br />

to obtain feasible solutions. This involves establishment<br />

of initial contacts, project proposal development,<br />

preliminary data collection, data analysis, verification of<br />

the results, and practical implementation. A<br />

presentation of the progress and a submission of the<br />

status report are due at the end of the semester.<br />

IES 307 Independent Studies in Industrial 3(0-9-0)<br />

Engineering<br />

Prerequisite: None<br />

This course is specifically intended for qualified students<br />

who aim to pursue a graduate degree in industrial<br />

engineering or related fields. Students will learn to<br />

develop research skills by participating in on-going<br />

research projects conducted by faculty members. They<br />

will be involved in the literature search, design of an<br />

experiment, data collection and analysis, and the<br />

preparation of a technical report, through close<br />

supervision from responsible faculty.<br />

IES 308 Engineering Tools and Operations 2(1-3-2)<br />

(For non-industrial and non-mechanical<br />

engineering students)<br />

Prerequisite: None<br />

This course emphasizes safe uses of engineering tools<br />

and fundamentals of machining, fitting, and welding<br />

operation. Students are provided with experience in<br />

benchworking, welding, etc.<br />

IES 311 Ergonomics 3(3-0-6)<br />

Prerequisite: None<br />

The course emphasizes human-machine-environment<br />

systems, workplace layout, tool design, occupational<br />

fatigue, environmental effects on human performance<br />

which include the effects of noise, vibration, and<br />

atmospheric factors. Participation in supervised<br />

experiments or a completion of a semester project under<br />

instructor’s supervision is mandatory.<br />

IES 312 Methods Analysis and Work 3(3-0-6)<br />

Measurement<br />

Prerequisite: None<br />

This course emphasizes the measurement and evaluation<br />

of work methods and how improvement can be<br />

introduced. Topics include visual and micromotion study<br />

techniques, motion economy, time study, and work<br />

sampling. The development and use of standard time<br />

data and computerized techniques will be covered.<br />

IES 313 Industrial Plant Design 3(3-0-6)<br />

Prerequisite: None<br />

Modern methods applied to facility layout and location<br />

design are discussed. Logistics of motion of people and<br />

materials, flow analysis, plant layout, and material<br />

handling techniques are covered. Students will study the<br />

mathematical approaches and computer packages<br />

applicable for solving facility layout and location<br />

problems.<br />

52

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!