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:
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.
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).
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.
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.
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.
High Performance Computing
Applications that push the limits of
information technology and demand development of new tools and techniques,
including applications such as remote imaging and sensing, large-scale
modeling and simulation, geographic information systems, and CAD modeling and
visualization.
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:
-
Databases: IE7425 Advanced Information Systems Design
-
Networking: EE7770
Internetworking Principles, or EE4710 Communications in Computing.
Students who have had a basic networking course in their undergraduate
curriculum may substitute a 7000 level advanced networking course with
approval of the ITE Coordinator.
-
Software Design: EE7780 Software Design Principles,
or IE4426 Dist Info Sys Eng, or CSC 4330 Software Systems
Development, or CSC 7135 Software Engineering
Beyond
these core 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). These courses do not need to all be from the same category
(categories are for informational purposes only). 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.
|
ITE Elective Courses * |
|
E-Business Systems - Architectures and Technologies
|
IE4425
Information Systems Engineering
IE4426 Dist. Information Systems
Engineering
ISDS7545 Collaborative Computing
ISDS7550 Enterprise Information
Systems
Any graduate-credit
College of Engineering Special Topics Course relating to E-Business
Systems Architectures and Technologies |
|
Manufacturing Information & Control
Systems |
BE7350
Adv Instrumentation & Control for Biol. Eng
ChE4198 Process
Dynamics
ChE7572 Adv Automatic Process Control
ChE7574
Digital Control of Processes
EE7580
Computer Process Control
EE7585 Adv Digital Control
Systems
IE4485
Manufacturing Systems Integration
IE7485 Systems Integration
Any
graduate-credit College of Engineering Special Topics Course relating to
Systems Integration / Manufacturing Information or Control
Systems |
|
Knowledge Management |
CE7580
Expert Systems in Civil Eng
CSC7333 Machine Learning
CSC7446 Soft
Computing
EE4745
Neural Computing
EE4785 Introduction to Expert Systems
EE7745
Neural Networks & Iterative Maps
EE7750 Machine Recognition
of Patterns
IE4470 Knowledge-Based Systems
IE7470 Knowledge
Management
Any
graduate-credit College of Engineering Special Topics Course on Knowledge
Management / AI
|
|
Vision
/ Multimedia Systems |
CSC7481 Information Retrieval Systems
EE4780 Introduction to
Computer Vision
EE7730 Image Analysis I
EE7740 Image Analysis
II
Any graduate-credit College of Engineering Special Topics Course on
Vision or Multimedia topics |
|
Telecommunications and
Networks |
EE4610 Analog Communication
EE4625
Digital Communication
EE4710 Communications in Computing
EE7110 Network
Analysis & Synthesis
EE7120Linear Active Network Analysis &
Synthesis
EE7130 Computer-Aided Network Analysis
EE7610
Analog Communications
EE7620 Digital Communications
EE7640 Information Theory, Coding, & Cryptography
EE7670 Communications Networks
EE7672 Switched
Broadband Networks
EE7674 Wireless Communications
Networks
EE7725 Interconnection Networks
Any graduate-credit College of Engineering Special Topics
Course on Networking and Security |
|
Software & Computer
Architecture |
CSC4103 Operating Systems
CSC4330 Software Systems Development
CSC7235 Advanced
Software Engineering
EE4760 Intro to Compiler Optimization
EE4770 Real Time Computing Systems
EE7715 Computer
Arithmetic
EE7720 Advanced Computer Architecture
EE7785
Program Parallelization
EE7790 Structure of Computers and
Computation
EE7795 Models and Methods of Parallel
Computation
Any graduate-credit
College of Engineering Special Topics Course on Software / Computer
Engineering |
|
Human Computer
Interaction |
IE4466
Human Computer Interaction
IE7466 Adv Human Computer
Interaction
Any
graduate-credit College of Engineering Special Topics Course on
HCI |
|
Geographic Information Systems (GIS) & Remote
Sensing |
CE7500
Remote Sensing
GEOG4019 Aerial Photo Interpretation
GEOG4020 Aerial Photo
Interpretation
GEOG4045 Environmental Remote
Sensing
GEOG4047 Geographic Information Systems
GEOG4048
Methods of Spatial Analysis
GEOG7943 Adv. Geographic
Info.Systems
Any
graduate-credit College of Engineering Special Topics Course relating to
GIS or remote sensing |
|
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
ME4573
Interactive Computer Graphics
ME4583 Applied Interactive
Graphics & CAD
ME7253 Advanced CAD
ME7263 Computer
Aided Geometric Modeling
ME7533 Numerical Methods
ME7633 Adv Eng System Dynamics
PETE4056 Numerical Simulation of Recovery Process.
PETE7280 Simulation of
Pete. Reservoir Performance
|
|
Systems Engineering |
BE7306
Agricultural Systems Engineering
CE7305 Numerical Methods in
Geotechnical Eng.
CE7720 Numerical & Matrix Methods in C.E
ChE7314 Optimization
EE7660 Random Processes
EE7765 Dist. Comp. System Reliability
IE7211 Project
Engineering
IE7382 Stochastic Processes
IE7453 Quality
Control
IE7540 Advanced Reliability Engineering
IE7541
Linear Programming Methods
IE7551 Queuing Theory
IE7561 Programming Methods in Operations
Research |
*Additional courses may be eligible for
elective credit. For instance, Computer Science (CSC) and Geography
(GEOG) IT courses on current IT topics and which are not similar to
coursework in Engineering may be considered for elective credit.
Approval of the ITE Graduate Coordinator is required prior to taking
such
courses for elective credit.
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.
The students major advisor must be a member of the College of Engineering
graduate faculty, and thesis credit/project independent study credit must be
conducted in the major advisors home department under the advisors
direction.
Summary of ITE requirements:
|
Requirement |
MS Project Option |
MS Thesis Option |
Ph.D. |
| Core Courses* |
IE7425, (EE7770
or EE4710),
and (EE7780 or IE4426 or CSC4330 or CSC7135) (9ch) |
| Elective Courses* |
4 from elective list
(12ch) |
3 from elective list
(9ch) |
4 from elective list
(12ch) |
| Project/Thesis/Diss** |
1 independent study under major
advisor (3ch) |
6ch thesis under major advisor
(6ch) |
6ch dissertation under major
advisor (6ch) |
| Other Courses*** |
4 (12ch) |
2 (6ch) |
11 (33ch) |
| Total Credit Hours |
36 |
30 |
60 |
| Major Advisor |
Must be member of
graduate faculty in the College of Engineering |
| Engineering Requirement |
At least 18ch of coursework must be from College of Engineering |
At least 15ch of coursework must be from College of Engineering |
At least 18ch of coursework must be from College of
Engineering |
| 7000 or higher requirement |
At least 18ch of coursework must be from College of Engineering |
At least 15ch of coursework must be at 7000 level or higher |
At least 27ch of coursework must be from College of
Engineering |
| Ph.D. Minor Requirements |
- |
- |
See
Degree Requirements
Checklist and
Distribution of
Coursework Hours
for additional details |
* Prior
approval (before course is taken) is required from the ITE Coordinator to accept
courses for core or elective credit which are not in the core or elective course
lists respectively. This approval is not given lightly and a strong
rationale must be presented. Requests to accept courses already taken as
substitutes for core or elective courses will generally not be
granted.
** The project, thesis,
or dissertation credit must be either in the major advisor's home department or
under ENGR, and must be under the major advisors direction. The project,
thesis, or dissertation must relate to ITE.
*** "Other courses" are
determined by the major advisor in discussion with the student. These courses do
not have to relate directly to ITE.
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
Contact Dr.
Gerry Knapp (ITE Graduate Coordinator) with any questions concerning the ITE
concentration - Email: gknapp@lsu.edu; Ph:
225-578-5374; Fax: 225-578-5112.
