Information
Technology Engineering (ITE)
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Information Technology
Engineering (ITE)
Concentration
in Engineering Science
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The Information Technology
Engineering (ITE) concentration in Engineering Science offers
a rigorous engineering-based curriculum for graduate students
interested in technical careers in the field of information
technology. The concentration draws together cross-disciplinary
coursework and research in:
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eBusiness
Architecture and Technologies, including the design,
synthesis, and operation of distributed databases and information
systems, data warehouses, multi-dimensional data stores, middleware,
client server and n-tier architectures, web services, messaging
systems, workflow systems, collaborative computing systems,
enterprise system architectures, and e-commerce systems; concepts
and use of authentication and encryption, biometrics, privacy,
and computer security. go top
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eManufacturing,
covering the use of information technologies in production
control, monitoring, integration, and collaboration, including
process control, plant instrumentation, logic controllers,
SCADA and HMI/MMI systems, intelligent devices and plant equipment,
plant networks, eMaintenance, and Manufacturing Enterprise
Systems (MES). go top
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Knowledge
Management, covering the theory and concepts of data/text
mining, intelligent systems, document management, information
search and retrieval, supply chain management, and logistics
optimization. |
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Telecommunications
and Networking, covering analog and digital communications,
network system design, network reliability analysis, and in-depth
analysis of specific network technologies such as wireless,
broadband, optical networks, and many others. go
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Software
Engineering, including software engineering theory
and techniques, requirements analysis and definition, business
process reengineering, rapid application development (RAD)
and computer aided software engineering (CASE), theory and
methodology for effective design of software systems, operating
systems, and embedded systems, and generative (automated)
software / database development. |
Systems
Engineering, providing the skills needed to engineer
information technology systems. including system modeling
and simulation, software quality control and assurance, software
and network reliability analysis, human computer interface
design, queuing analysis, project management, and network
systems management. go top |
Systems
Engineering, providing the skills needed to engineer
information technology systems. including system modeling
and simulation, software quality control and assurance, software
and network reliability analysis, human computer interface
design, queuing analysis, project management, and network
systems management. go top |
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Concentration Requirements
All students pursuing the ITE concentration must take the
following three core engineering courses and obtain a grade
of “B” or higher in each:
- IE7425
Advanced Information Systems Design
- EE7770
Internetworking Principles
- EE7780
Software Design Principles
Beyond these
cores courses, the ITE student has considerable flexibility
in tailoring their program. MS students pursuing a thesis
option must complete 9 additional credit hours of coursework
selected from the table below (most courses are 3 credit hours).
MS students pursuing a non-thesis (project) option, and PhD.
students must complete 12 additional credit hours of coursework
beyond the core selected from the table below. In addition,
M.S. and Ph.D. students must meet the basic requirements of
the engineering science program. Students work with their
Major Advisor and Advisory Committee to develop a satisfactory
course plan to meet their objectives. go
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ITE Elective Courses
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| E-Business
Systems - Architectures and Technologies |
IE4425
Information Systems Engineering
IE4426 Dist. Information Systems Engineering
ISDS7545 Collaborative Computing ISDS7550 Enterprise Information
Systems |
| Manufacturing
Information Systems |
BE7350
Adv Instrumentation & Control for Biol. Eng
ChE4198 Process Dynamics
ChE7572 Adv Automatic Process Control ChE7574 Digital Control
of Processes
IE4485 Manufacturing Systems Integration IE7485 Systems Integration |
| Knowledge
Management |
EE4745
Neural Computing
EE7745 Neural Networks & Iterative Maps IE4470 Knowledge-Based
Systems
IE7470 Knowledge Management
CSC7333 Machine Learning
CSC7481 Information retrieval Systems |
| Telecommunications
and Networks |
EE4610
Analog Communication
EE4625 Digital Communication
EE4710 Communications in Computing
EE7610 Analog Communications
EE7620 Digital Communications
EE7640 Information Theory, Coding, & Cryptography
EE7670 Communications Networks
EE7672 Switched Broadband Networks EE7674 Wireless Communications
Networks |
| Software |
EE4760
Intro to Compiler Optimization
EE7785 Program Parallelization
CSC4103 Operating Systems
CSC7235 Advanced Software Engineering |
| High
Performance Computing Applications |
BE4345
Models, Simulation and Visualization in B.E..
CE4450 Finite Element Methods
CE7455 Finite Element Method in Engineering CE7180 Water Quality
Simulations
CE7275 Groundwater Modeling
CE7672 Pavement Management Systems ChE7594 Advanced Computer-Aided
Process Design
IE4511 Simulation
IE7408 Systems Simulation
IE7762 Supply Chain Systems
ME7633 Adv Eng System Dynamics
PETE4056 Numerical Simulation of Recovery Process.
PETE7280 Simulation of Pete. Reservoir Performance
GEOG4047 Geographic Information Systems GEOG7943 Adv. Geographic
Info.Systems ME4573 Interactive Computer Graphics
ME4583 Applied Interactive Graphics & CAD ME7253 Advanced
CAD
ME7263 Computer Aided Geometric Modeling ME7533 Numerical Methods |
| Systems
Engineering |
BE7306
Agricultural Systems Engineering
CE7305 Numerical Methods in Geotechnical Eng. CE7720 Numerical
& Matrix Methods in C.E ChE7314 Optimization
EE7110 Network Analysis & Synthesis
EE7660 Random Processes
EE7765 Dist. Comp. System Reliability
IE7211 Project Engineering IE7382 Stochastic Processes
IE7453 Quality Control
IE4466 Human Interaction with Computers IE7540 Advanced Reliability
Engineering
IE7541 Linear Programming Methods
IE7551 Queuing Theory
IE7561 Programming Methods in Operations Research |
In addition to the course requirements,
the student’s project or thesis (M.S.) or dissertation
(Ph.D.) must relate to information technology. In all cases,
a formal proposal is required and must be approved by the
students full committee. go
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Admission Requirements
To be accepted into the concentration, students must meet
general admission requirements of the Graduate School and
the Engineering Science program. In addition ITE applicants
must meet the following requirements:
- Hold
a baccalaureate in any field of engineering or related
sciences (e.g., computer science, mathematics, physics,
etc).
- Have
at least 1 year of engineering level mathematics,
- Have
at least 1 year of Engineering level physics,
- Have at
least one undergraduate course in probability,
- Have at
least two undergraduate courses in programming, or programming
proficiency demonstrated through documented work experience.
Students coming
from undergraduate programs in engineering, computer science,
math, or physics will generally meet these requirements. Students
from other backgrounds are encouraged to contact the ITE coordinator
(see "Contacting Us" below) to determine eligibility.
For students
transferring from other programs, the ITE concentration requires
a minimum of one academic year full-time residency after admission
to the ITE concentration.
Contacting
Us
Please feel free to contact Dr. Gerry Knapp (ITE Coordinator)
with any questions concerning the ITE concentration - Email:
gknapp@lsu.edu; Ph: 225-578-5374;
Fax: 225-578-5373. go top |
