Information Technology Engineering (ITE) Concentration in Engineering Science
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:
- IE7425 Advanced Information Systems Design
- EE7770 Internetworking Principles
- EE7780 Software Design Principles
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.
ITS 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
- Information Theory, Coding, & Cryptography
- EE7670 Communications Networks
- EE7672 Switched Broadband Networks
- EE7674 Wireless Communications Networks
- EE7725 Interconnection Networks
- 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..
- Finite Element Methods
- CE7455 Finite Element Method in Engineering
- 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.
- 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
- 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. 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.
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 Coordinator) with any questions concerning the ITE concentration - Email: gknapp@lsu.edu; Ph: 225-578-5374; Fax: 225-578-5112.



