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College of Engineering & Science - Louisiana Tech University


Graduate Studies

Communications Systems Certificate

Certificate Overview

The primary objectives of this program are to empower non-traditional students by broadening their knowledge base, enabling them to perform better in their current position as well as increase the range of opportunities for their professional development; and to provide traditional students an opportunity to enter the lucrative field of telecommunications. The courses are designed to meet the interdisciplinary needs of students with backgrounds in business, engineering, and computer science; in a field defined by the dynamic interplay of regulatory, industrial, and technological constraints. Emphasis is given to providing a thorough understanding of the fundamental principles, current state-of-the-art technology, and the ability to solve problems and make wise decisions regarding emerging and future technologies.

This program will be offered in the evenings at the CenturyLink Headquarters in Monroe, LA,  and the Louisiana Tech Transfer Center in Shreveport, LA, via compressed video. The class presentations will be captured and posted for students’ use after the class or in case their work schedule requires them to miss class. The class capture also enables the class to be taken by students in other locations.

Students who complete the graduate certificate in Communications Systems may consider applying to one of Tech's Master's or doctoral degree programs, including the MBA program offered by the College of Business at Louisiana Tech, or to the M.S. in Engineering and Technology and Management or to the M.S. in Engineering offered by the College of Engineering and Science at Louisiana Tech.

Certificate at a Glance

Program Contact: Dr. James Palmer (jpalmer@latech.edu), Associate Dean for Graduate Studies

15 credit hours

5 quarters (15 months) to complete (on average)

GRE or GMAT is not required for the certificate

Applicants must meet admission requirements to the Graduate School at Louisiana Tech

Admission to the Graduate Certificate Program does not constitute admission to a Master's level degree program

Thesis is not required in this Graduate Certificate Program

Class presentations captured and available for students

Online classes offered in the future

Courses

Electrical Engineering 525 Telecommunication Theory and Applications

In this course, the emphasis is on the physical and data link layers of the OSI telecommunications model. Also known as the fiber and packet layers, these topics deal with the physical aspects and lower-level protocols of telecommunication networks including modulation formats, network efficiencies and throughput, fiber and copper cabling, media access control protocols, multiplexing and fundamental aspects of hauling data, voice and video traffic over LANs, MANs and WANs with examples drawn from POTS, Ethernets, the Internet, Fiber-To-The-Home, and hybrid fiber/coax networks. The requisite mathematics is developed without assumption of prior knowledge.

Topics include:

• General characteristics of traffic and networks, 
• Network architectures and MAC (media access control) protocols, 
• Physical layer constraints and requirements, 
• Multiplexing and modulation, 
• Wireless standards and technologies, and 
• Optical fiber and hybrid fiber/coax standards and technologies.

Sample Course Syllabus:

ELEN 525 Syllabus

For additional information, please contact Dr. Scott Shepard (sshepard@latech.edu).

Electrical Engineering 526 Modern Wireless and Optical Networking

This course provides an overview of current issues in wireless and optical networking (at all layers of the OSI telecommunications model), including wireless transport on 4G systems and software defined radio, optical topics range from FTTx architectures, reconfigurable optical networks, optical packet and burst switching, DWDM vs OTDM, and bypassing SONET; long-haul systems and impairments. It will also provide students with a background in optical wireless convergence issues and OFDM in wireless and optical systems. Topics include:

• Wireless standards, impairments and technologies,
• Optical standards, impairments and technologies, and
• Networking and architectures.

Sample Course Syllabus:

ELEN 526 Syllabus

For additional information, please contact Dr. Scott Shepard (sshepard@latech.edu).

Electrical Engineering 527 Optical Communication Systems

This course is designed to provide students with an overview of optical telecommunication system performance issues and enabling technologies. Students will become familiar with shot noise mitigation, dispersion compensation, reduction and exploitation of nonlinearities, Raman fiber amplifiers and EDFAs, microstructured fiber, all-optical pulse regenerators, FBGs, optical sources and detectors for current and next generation systems, DFB lasers, fiber ring resonators for next-grid frequency comb generation, super-continuum generation in photonic crystal fiber, PIN and avalanche photodetectors, coherent detectors and systems. Topics include:

• Optical impairments and their mitigation,
• State of the art technologies and networks, and
• Next generation optical networks and technologies.

Sample Course Syllabus:

ELEN 527 Syllabus

For additional information, please contact Dr. Scott Shepard (sshepard@latech.edu).

Computer Information Systems 521 Introduction to Information Assurance

This course is designed to give students an understanding of information assurance concepts. You are advised to pay careful attention to the class lectures and lab exercises. Exam questions are based primarily on the material covered in class and are designed to test your understanding of the underlying concepts of information assurance. This course examines basic enterprise information systems assurance principles and examines operational, technical, and administrative aspects of information assurance. It also covers information security management and much of the common Body of Knowledge of the CISSP Exam. Topics include:

•Management of information security and planning,
•Information security policy and risk management,
•Cryptography,
•Ethical issues and social engineering,
•Developing the security program and security management models,
•Digital forensics introduction, and 
• Applications, Operations, and Physical security.

Sample Course Syllabus:

CIS 521 Syllabus

For additional information, please contact Dr. Christie Fuller (cfuller@latech.edu).

Computer Information Systems 544 Network Design and Implementation

The course will focus on Layers 3-7 of the OSI Model. The course will introduce students to a variety of networking topics such as data transmission methods, multiplexing, wide area networks (WANS), switching methods, cellular networks, local area networks (LANS), Ethernet, wireless LANs, and Internet protocols including IPv6.

Sample Course Syllabus:

CIS 544 Syllabus

For additional information, please contact Dr. Tom Roberts (troberts@latech.edu).

CSC 557 Introduction to Data Analytics

The transformation of today’s enterprises toward data-driven discovery and prediction is being fueled by the availability of large data in commerce and research. There is a need for scalable data management, statistical analysis, parallel algorithms, and individuals proficient in handling data on a large scale. Data analytics is an amalgamation of techniques from a multiple disciplines that is difficult to master. This course is designed to provide you the basic techniques of data science, that included prominent algorithms used to mine data (e.g., clustering and association rule mining), and basic statistical modeling (e.g., logistic and non-linear regression). The course is targeted toward individuals who would like to know the practices used and the potential use of large scale data analytics. The objective of this course is to ascertain that the students know the fundamental techniques and tools used to design and analyze large volumes of data. Topics include:

• Data cleaning, data management, and the map reduce framework,
• Data preprocessing techniques, multivariate data analysis, and hypothesis testing,
• Predictive analytics, logistic regression analysis,
• Model building, model selection and error estimation,
• Overview of tools of data analytics,
• Data collection and ‘big data’ management life cycle,
• Analysis of streaming data, and data visualization,
• Frequent pattern mining, and 
• An introduction to data warehousing, topologies, querying, analysis of data.

For additional information, please contact Dr. Pradeep Chowriappa (pradeep@latech.edu).