May 05, 2024  
2018-2019 Florida Tech Catalog 
    
2018-2019 Florida Tech Catalog [ARCHIVED CATALOG]

Course Descriptions


Courses are listed alpha-numerically. The 1000, 2000, 3000 and 4000 series are undergraduate courses. The 5000 series are graduate courses that can also be taken by undergraduates with cumulative grade point averages of 2.75 or higher, who have satisfied all listed prerequisites and whose registration is approved by the department head or program chair responsible for the course. The 6000 series courses are restricted to graduate students only. Courses below 1000 are developmental in nature, are not counted in GPA calculations and do not count toward any Florida Tech degree.

Courses that may be taken in fulfillment of Undergraduate Core Requirements are designated as follows: CL: computer literacy requirement, COM: communication elective, HU: humanities elective, LA: liberal arts elective, Q: scholarly inquiry requirement, SS: social science elective, CC: cross-cultural. These designations follow the course descriptions. Other courses that satisfy Undergraduate Core Requirements are identified by the course prefix: any MTH course can be used toward meeting the mathematics requirement; and any AVS, BIO, CHM or PHY course, or EDS 1031  or EDS 1032 , toward meeting the physical/life sciences requirement.

 

Computer Science

  
  • CSE 5233 Computer Forensics

    Credit Hours: 3
    Introduces concepts and techniques for the seizure and examination of digital evidence, along with the legal and ethical issues related to reporting on the results. Covers forensic tools and investigative procedures and includes a survey of current literature.
    Recommended: Background knowledge equivalent to CSE 3120 Computer Architecture and Assembly Programming  and CSE 4001 Operating Systems Concepts  
  
  • CSE 5234 Web Applications

    Credit Hours: 3
    Covers design and implementation of programs that offer services over the Web. Addresses Web-related standards and trends, browser compatibility, Web-related security and authentication, architectures, multimedia support, accessibility and internationalization. Involves projects using multiple technologies.
    Recommended: Background knowledge equivalent to CSE 1002 Fundamentals of Software Development 2  
  
  • CSE 5240 Parallel Processing

    Credit Hours: 3
    Investigates architectures for parallel computers and parallel algorithms for computational problems. Discusses performance evaluation metrics for the performance of parallel processing.
  
  • CSE 5241 Distributed Computing

    Credit Hours: 3
    Studies the fundamental concepts in software systems that support and work in a distributed computing environment. Includes discussion of network communication mechanisms, distributed operating systems, services supporting distributed systems, distributed database systems, fault-tolerant systems and distributed algorithms.
    Recommended: Background knowledge equivalent to CSE 4001 Operating Systems Concepts  
  
  • CSE 5250 Programming Languages

    Credit Hours: 3
    Surveys programming language concepts including language features, implementation issues and language groups.
    Recommended: Background knowledge equivalent to CSE 2010 Algorithms and Data Structures  
  
  
  • CSE 5260 Database Systems

    Credit Hours: 3
    Introduces the analysis and design of typical database systems. Includes theoretical and practical aspects of designing database systems and a substantial project.
    Recommended: Background knowledge equivalent to CSE 2010 Algorithms and Data Structures  
  
  • CSE 5272 Computer and Information Security

    Credit Hours: 3
    Examines concepts of modern computer security from a practical point of view. Includes vulnerability analysis, threat modeling and risk assessment, and techniques for asset protection. Discusses economic, legal and ethical issues in computer security. Emphasizes a system-wide view of security and includes a survey of current literature.
    Recommended: Background knowledge equivalent to  CSE 2010 Algorithms and Data Structures  
  
  • CSE 5280 Computer Graphics

    Credit Hours: 3
    Presents the graphics pipeline for polygonal-based models. Includes mathematical concepts and data structures for graphics, coordinate systems, clipping, scan conversion, hidden-object detection, rendering, color models and graphics programming standards.
    Recommended: Background knowledge equivalent to CSE 2050 Programming in a Second Language  and MTH 1002 Calculus 2  
  
  • CSE 5281 Graphical User Interfaces

    Credit Hours: 3
    Studies the theories and techniques of human-computer interaction and the design of direct manipulation graphical-user interfaces that support menus, buttons, sliders and other widgets for input, text and graphics for output. Students design, implement and evaluate a graphical-user interface.
  
  • CSE 5290 Artificial Intelligence

    Credit Hours: 3
    Introduces the theoretical foundations of artificial intelligence, focusing on the areas of automated reasoning, search and heuristics. Introduces an AI language to implement concepts.
    Recommended: Background knowledge equivalent to CSE 2010 Algorithms and Data Structures  
  
  • CSE 5310 Management and Processing of Big Data

    Credit Hours: 3
    Provides students with theoretical knowledge and practical experience in data storage, management and retrieval for analysis or operations. Explores the transition from traditional data warehouse architectures to modern big-data architectures that robustly handle data variety, volumes and velocities.
  
  • CSE 5311 Numerical Methods for Data Analytics

    Credit Hours: 3
    Covers the mathematical and programming skills needed by data scientists. Focuses on mathematical concepts and their real-world application to data science. Reinforces the understanding of concepts by hands-on implementation using scientific programming languages such as Python or R, and industry-standard numerical packages.
    Prerequisite: CSE 5310   Corequisite: CSE 5310  
  
  • CSE 5312 Software Engineering for Data Analytics

    Credit Hours: 3
    Presents fundamental concepts and methods required to successfully engineer the full life cycle of data-science software systems. Includes requirements and system architecture, design and construction, and testing and evaluation. Uses modern data science and software engineering tools to develop an analytics software system.
    Prerequisite: CSE 5311   Corequisite: CSE 5311  
  
  • CSE 5313 Applied Machine Learning at Scale

    Credit Hours: 3
    Introduces the basics of applied machine learning. Focuses on learning models from massive amounts of data and their use in prediction and pattern discovery. Uses modern parallel scalable frameworks to apply machine-learning methods to problems that include structured and unstructured data.
    Prerequisite: CSE 5312  
  
  • CSE 5400 Topics in Computer Science

    Credit Hours: 3
    Current topics in computer science at the introductory graduate level. Topics vary and the course may be repeated for credit.
    Requirement(s): Instructor approval
    May be repeated for credit
  
  • CSE 5401 Independent Study in Computer Science

    Credit Hours: 1 - 3
    Working closely with a faculty member, the student probes a subject in greater depth than is normally possible in a regular class. Requires a comprehensive paper or an applied research project.
    Requirement(s): Instructor approval
  
  • CSE 5402 Projects in Computer Science

    Credit Hours: 1 - 3
    Working closely with a faculty member, the student develops a project in computer science to a greater depth than is normally possible in a regular class. Requires an applied research project.
    Requirement(s): Instructor approval
  
  • CSE 5500 Computer Science Seminar

    Credit Hours: 0
    Presentations by faculty, graduate students and guest speakers on topics of current interest.
    May be repeated for credit
  
  • CSE 5501 Computer Sciences Internship

    Credit Hours: 0
    Industry-based internship experience under the supervision of a graduate faculty member, to provide professional experience for graduate students without prior experience in a practical information technology setting.
    Requirement(s): Instructor approval and at least nine graduate credit hours in computer science completed with a minimum 3.0 GPA
  
  • CSE 5610 Computational Complexity

    Credit Hours: 3
    Reviews problems, algorithms, Turing machines and computability. Studies Boolean and first-order logic, leading to undecidability results; and relations among complexity classes using reductions and completeness. Presents approximate and randomized algorithms.
    Prerequisite: CSE 5210  and CSE 5211  
  
  • CSE 5615 Computational Molecular Biology

    Credit Hours: 3
    Introduces important computational problems related to molecular biology. Includes motif finding, approximate sequence alignment, phylogeny construction and system biology. Requires knowledge in programming, discrete mathematics, data structures and algorithms. Does not require prerequisite biological sciences (BIO) course.
  
  • CSE 5630 Advanced Operating Systems

    Credit Hours: 3
    Studies in detail the design and implementation of an operating system. Discusses various data structures and algorithms for process, memory and input/output device management. Investigates issues in distributed operating systems.
    Recommended: Background knowledge equivalent to CSE 4001 Operating Systems Concepts  
  
  • CSE 5636 Network Security

    Credit Hours: 3
    Covers network intrusion detection, statistical anomaly detection and network perimeter security, and traffic monitoring including tools (Ethereal, TCPDUMP) used to analyze captured traffic streams. Overviews methods and tools used by hackers. Includes statistical anomaly detection and its role in detecting previously unseen attacks.
    Prerequisite: CSE 5231  or ECE 5535  
  
  • CSE 5640 Processing and Storage of Massive Data Sets 1

    Credit Hours: 3
    Introduces large-scale distributed systems. Emphasizes big-data processing and storage infrastructures. Provides hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, practical statistical and machine learning concepts, and data visualization. 
    Prerequisite: CSE 5312  
  
  • CSE 5645 Analytics for Time Series Data

    Credit Hours: 3
    Covers analysis methods for both continuous and discrete time-series data. Emphasizes discovering patterns in the signals, removing trends, forecasting and multi-scale analysis. Gives hands-on experience with selecting techniques, formulating models and performing analysis for decision support.
    Prerequisite: CSE 5312  
  
  • CSE 5646 Analytics for Textual Data

    Credit Hours: 3
    Provides the knowledge and skills needed to construct, model, apply and evaluate text analytics over massive data for a variety of applications. Requires students to choose, implement and apply graphical, statistical and numerical techniques to discover key patterns and gain insight from textual data.
    Prerequisite: CSE 5312  
  
  • CSE 5647 Analytics for Network Data

    Credit Hours: 3
    Provides the knowledge to analyze, model and apply network science methods in a variety of applications. Emphasizes choosing, applying and implementing numerical techniques to discover key patterns and gain insight from network data. Encompasses relational, sequential and other graph-based data. 
    Prerequisite: CSE 5312  
  
  • CSE 5648 Analytics for Visual Data

    Credit Hours: 3
    Covers how to detect, retrieve, categorize and search information from visual data (image, video, multidimensional signals from both visible and non-visible spectra). Also covers algorithms for object recognition, detection, tracking and segmentation. Emphasizes large-scale datasets.
    Prerequisite: CSE 5312  
  
  • CSE 5650 Advanced Programming Languages

    Credit Hours: 3
    Presents theoretical topics in programming languages. Includes the lambda-calculus, functional programming, type interface and different approaches to the semantics of programming languages.
    Prerequisite: CSE 5250  
  
  • CSE 5656 Theory and Applications of Complex Networks

    Credit Hours: 3
    Explores complex networks by studying theory, developing algorithmic results and investigating applications related to networks’ distribution and redistribution of information, water, food and energy; representation of physical pipes, personal relationships or the manifestation of economic interdependencies.
    Recommended: Background knowledge equivalent to CSE 2400 Applied Statistics  and MTH 2401 Probability and Statistics  
  
  • CSE 5660 Database Management Systems

    Credit Hours: 3
    Studies the internal components of a database management system (DBMS). Includes data organization, query optimization, transaction processing, concurrency control, logging and recovery, security and distributed DBMS.
    Prerequisite: CSE 5260  
  
  • CSE 5670 Software Design Methods

    Credit Hours: 3
    Covers technical aspects of software design and development. Includes techniques to decompose a system into objects, methods for designing an object’s data structure and techniques for writing and verifying code.
  
  • CSE 5673 Cryptology

    Credit Hours: 3
    Focuses on making and breaking codes. Students learn how to crack enciphered messages without knowing the enciphering keys. Covers modern encryption and its application to digital signatures, digital cash, voting and cryptographic protocols.
    Recommended: Background knowledge equivalent to CSE 2010 Algorithms and Data Structures  
  
  • CSE 5683 Advanced Computer Vision

    Credit Hours: 3
    Reviews recent technologies and trends of computer vision and image analysis. Research oriented for graduate computer science and engineering students. Background knowledge equivalent to CSE 2010 Algorithms and Data Structures .
  
  • CSE 5692 Constraint Reasoning

    Credit Hours: 3
    Covers foundations of constraint satisfaction and constraint-based reasoning; problem representation and characterization; consistency checking, heuristics and search; deterministic and stochastic solving methods; and applications such as scheduling, timetabling and temporal reasoning.
    Recommended: Background knowledge equivalent to CSE 5211 Analysis of Algorithms  and CSE 5290 Artificial Intelligence  
  
  • CSE 5693 Machine Learning

    Credit Hours: 3
    Covers computational paradigms and techniques in learning and adaptation. Includes tree learning, rule learning, genetic algorithms, neural networks, case-based learning, Bayesian learning, analytical learning and reinforcement learning.
    Prerequisite: CSE 5290  
  
  • CSE 5694 Robotics and Artificial Intelligence

    Credit Hours: 3
    Introduces the concept of robot and the various algorithms used in robotics. Emphasizes artificial intelligence in robotics. Covers modeling, planning, mapping and localization algorithms. Also includes using robotic arms and teams of mobile robots.
    Recommended: Previous programming experience and background knowledge equivalent to MTH 1002 Calculus 2  
    Prerequisite: CSE 5290  
  
  • CSE 5780 Pattern Recognition in Biomedical Applications

    Credit Hours: 3
    Introduces the fundamentals of statistical pattern recognition with examples from different biomedical application areas. Studies techniques for analyzing multidimensional data of various types and scales. Also covers algorithms for projections, and clustering and classification of data.
  
  • CSE 5800 Advanced Topics in Computer Science

    Credit Hours: 3
    Current topics in computer science at the advanced graduate level.
    Requirement(s): Instructor approval
    Topics vary and the course may be repeated for credit.
  
  • CSE 5801 Independent Research in Computer Science

    Credit Hours: 1 - 3
    Working closely with a faculty member, the student studies a research topic and writes a research paper.
    Requirement(s): Instructor approval
    May be repeated for credit
  
  • CSE 5802 Research Projects in Computer Science

    Credit Hours: 1 - 3
    The student works closely with a faculty member on a well-defined research project.
    Requirement(s): Instructor approval
    May be repeated for credit
  
  • CSE 5899 Final Semester Thesis

    Credit Hours: 0 - 2
    Variable registration for thesis completion after satisfaction of minimum registration requirements.
    Requirement(s): Approval by Office of Graduate Programs and accepted petition to graduate
  
  • CSE 5999 Thesis

    Credit Hours: 3 - 6
    Research and preparation of a thesis under the direction of a member of the graduate faculty.
    Requirement(s): Thesis supervisor approval and a maximum of six credit hours may be applied toward the master of science degree requirements
  
  • CSE 6899 Final Semester Dissertation

    Credit Hours: 0 - 2
    Variable registration for dissertation completion after satisfaction of minimum registration requirements.
    Requirement(s): Approval by Office of Graduate Programs and accepted candidacy
  
  • CSE 6990 Research in Computer Science

    Credit Hours: 1 - 6
    Research conducted under the guidance of doctoral-level graduate faculty. Research may lead to preparation of a research proposal for dissertation work.
  
  • CSE 6999 Dissertation

    Credit Hours: 3 - 12
    Research and preparation of the doctoral dissertation under the direction of the student’s doctoral committee.

Civil Engineering

  
  • CVE 0002 Final Program Examination

    Credit Hours: 0
    Requires registration in order to sit for the final program examination.
  
  • CVE 0003 Final Program Examination 2

    Credit Hours: 0
    Requires registration in order to sit for the final program examination.
    Prerequisite: CVE 0002   Corequisite: CVE 0002  
  
  • CVE 0004 Final Program Examination 3

    Credit Hours: 0
    Requires registration in order to sit for the final program examination.
    Prerequisite: CVE 0003   Corequisite: CVE 0003  
  
  • CVE 1000 Introduction to Civil Engineering

    Credit Hours: 3
    Introduces the civil engineering sub-disciplines, including professional aspects and ethics. Uses hands-on group projects, group presentations, field trips and lectures. Includes exposure to structures, soils, transportation, hydrology, construction and the environment. Emphasizes technical communication and computer skills through all coursework.
  
  • CVE 1001 Computer Applications Lab

    Credit Hours: 1
    Offers a broad background in computer applications, strongly emphasizing computer-aided design. Briefly discusses word processing, spreadsheet coding and PowerPoint® presentations.
    (CL)
  
  • CVE 2080 Construction Measurements

    Credit Hours: 3
    Covers measurement of distances, elevations and angles; statistical errors and data adjustment; working with coordinates; topographic mapping and photogrammetry; global positioning systems (GPS); geographic information systems (GIS); and computer applications.
    Prerequisite: CVE 1001   Corequisite: CVE 1001 
  
  • CVE 3012 Engineering Materials

    Credit Hours: 3
    Addresses stress-strain concepts and the relationship between internal structure and engineering properties as the basis for selection of materials. Materials studied include metals, concretes, timber, plastics and fiber composites.
  
  • CVE 3013 Civil Engineering Materials Lab

    Credit Hours: 1
    Offers experiments in measurement techniques, materials testing and engineering applications.
    Prerequisite: PHY 2091  and CVE 3012   Corequisite: CVE 3012  
  
  • CVE 3015 Structural Analysis and Design

    Credit Hours: 3
    Introduces modeling of structures; elastic analysis of statically determinate trusses, beams and frames; influence lines for determinate and indeterminate structures; deflections by the method of virtual work and other methods; analysis of indeterminate structures.
    Prerequisite: AEE 3083 
  
  • CVE 3020 Soils and Foundations

    Credit Hours: 3
    Studies the application of mechanics and hydraulics to the analysis of soils. Includes engineering geology, index properties, classification, compaction, effective stress, permeability, consolidation, and shear strength behavior of soil, as well as application to the design of foundations and retaining walls.
    Minimum student level - junior
    Prerequisite: AEE 3083   
  
  • CVE 3021 Soil Mechanics Lab

    Credit Hours: 1
    Offers experiments in the sampling and testing of soil as an engineering material, to support topics in soil mechanics.
    Prerequisite: CVE 3020   Corequisite: CVE 3020  
  
  • CVE 3030 Fluid Mechanics

    Credit Hours: 3
    Includes pressure distribution in flowing and static fluids; integral expressions for conservation of mass and momentum; energy equation; similitude; and flow through conduits.
    Prerequisite: MEE 2081  and MTH 2201   Corequisite: MTH 2201  
  
  • CVE 3033 Hydraulics Lab

    Credit Hours: 1
    Offers experiments in fundamental and applied fluid mechanics.
    Prerequisite: CVE 3030   Corequisite: CVE 3030  
  
  • CVE 3042 Water and Wastewater Systems for Land Development

    Credit Hours: 3
    Covers the topics necessary to design potable water and domestic wastewater utility systems for land development projects. Includes the treatment and distribution of potable water and the collection and treatment of wastewater.
    Prerequisite: CHM 1101  and CVE 1001  and CVE 3030   Corequisite: CVE 3030  
  
  • CVE 3052 Municipal Water and Wastewater Systems

    Credit Hours: 3
    Covers the topics necessary to design and develop large-scale potable water and domestic wastewater treatment facilities. Includes site planning; physical, chemical and biological treatment; sludge processing and advanced treatment methods.
    Prerequisite: CHM 1101  and CVE 1001  
  
  • CVE 4000 Engineering Economy and Planning

    Credit Hours: 3
    Presents economic evaluation of engineering alternatives. Includes time value of money, replacement alternatives, benefit/cost analysis, minimum cost analysis, depreciation, taxes and inflation.
    Minimum student level - junior
  
  • CVE 4013 Steel Structures

    Credit Hours: 3
    Studies the design of various elements of steel structures including tension members, beams, columns, beam-columns and connections. Introduces the AISC codes. Includes a design project.
    Prerequisite: CVE 3015 
  
  • CVE 4016 Reinforced Concrete Structures

    Credit Hours: 3
    Covers the basic mechanics of reinforced concrete and the design of reinforced concrete structures and structural elements. Introduces the design practices and procedures of the ACI code. Includes a design project.
    Prerequisite: CVE 3015 
  
  • CVE 4019 Timber Structures

    Credit Hours: 3
    Covers the engineering properties of timber and their effect on design of timber structures. Studies the design of various elements of timber structures including tension members, beams, bean-columns, diaphragms and connections according to the NDS ASD specification. Includes a design project.
    Prerequisite: CVE 3015 
  
  • CVE 4020 Foundation Design

    Credit Hours: 3
    Applies soil mechanics to foundation engineering, exploration techniques, foundation selection criteria, design and construction. Includes analysis and design of spread, mat and pile foundations; retaining wall design; drilled piers; caissons; design using geotechnical fabrics; and slope stability.
    Prerequisite: CVE 3020 
  
  • CVE 4032 Hydraulics and Hydrology

    Credit Hours: 3
    Includes steady flow in open channels, analysis of water surface profiles, channel design; measurements and estimation of components in the hydrologic cycle; unit hydrograph theory; statistical design methods; and hydrologic routing.
    Prerequisite: CVE 3030 
  
  • CVE 4035 Urban Hydrology

    Credit Hours: 3
    Uses state-of-the-art water-quality and water-quantity computer models to predict the impact of urbanization on receiving waters. Students design a stormwater management system as a project.
    Prerequisite: CVE 4032 
  
  • CVE 4050 Solid and Hazardous Waste

    Credit Hours: 3
    Covers the design process used in investigation and remediation of sites contaminated with solid or hazardous waste. Also covers the processing, treatment and disposal of solid and hazardous wastes.
  
  • CVE 4060 Transportation Engineering

    Credit Hours: 3
    Modes of transportation are reviewed with emphasis on highways, including vehicle characteristics, geometric alignment, traffic analysis, queuing theories, signal timing, levels of service, traffic forecasting, pavement design and airport runway design and layout.
    Minimum student level - senior
    Prerequisite: CVE 2080   
  
  • CVE 4070 Construction Engineering

    Credit Hours: 3
    The fundamentals of construction engineering from a project management point of view. Focus on basics of construction project management principles including scope, quality control, planning and scheduling, cost engineering, risk management and loss prevention, local environment, information and communications, and stakeholder relations.
    Requirement(s): Instructor approval or prerequisite course
    Prerequisite: CVE 3012  and CVE 3013  
  
  • CVE 4073 Construction Cost Engineering

    Credit Hours: 3
    The application of cost engineering principles and estimating within a project management framework in conjunction with scope definition, quality control, planning and scheduling, risk management and loss prevention techniques, local conditions, information and communication, and working relations with stakeholders.
    Prerequisite: CVE 2080  
  
  • CVE 4074 Leading Construction Operations

    Credit Hours: 3
    Covers specialized application of leadership fundamentals and team building to construction operations. Focuses on the basic principles of leadership including motivation, organizational dynamics, team formation and conflict resolution. Examines construction operations, work practices and ethics in the business environment.
    Minimum student level - junior
  
  • CVE 4090 Selected Topics in Civil Engineering

    Credit Hours: 1 - 3
    Advanced topics in civil engineering in which a formal course does not exist at Florida Tech. Classes are conducted on a seminar basis with extensive student participation. Topics are chosen according to student interest and faculty expertise.
    Requirement(s): Department head approval
    May be repeated for a maximum of six credits
  
  • CVE 4091 Design Project 1

    Credit Hours: 1
    Develops a real-world, peer reviewed, team design project. Students review alternatives and present a schedule and cost estimate. Professional and ethical issues are discussed. Project is completed in CVE 4092 . Oral and written reports and a final team presentation are required.
    (Q)
    Requirement(s): Senior standing
  
  • CVE 4092 Design Project 2

    Credit Hours: 3
    Proposal developed in CVE 4091  is completed. Oral and written reports and a final team oral presentation and report required. Also includes discussion of professional and ethical issues.
    (Q)
    Prerequisite: CVE 4091 
  
  • CVE 4095 Independent Study in Civil Engineering

    Credit Hours: 3
    Independent study undertaken on a cooperative basis between a student and a member of the faculty. Typically, it is a short-term research-related project.
    Requirement(s): Department head approval
    May be repeated for a maximum of six credits
  
  • CVE 5014 Advanced Steel Design

    Credit Hours: 3
    Behavior and design of steel structures with an emphasis on the AISC-LRFD specifications. Includes plate girders, continuous beams, complex connections, frames and composite construction.
    Prerequisite: CVE 4013 
  
  • CVE 5016 Advanced Reinforced Concrete

    Credit Hours: 3
    Covers advanced topics in the analysis and design of reinforced concrete structures. Includes two-way slabs, torsions, strut-and-tie method, and slender and biaxial columns. Introduces the basic concepts of prestressed concrete. Requires students to complete a design project.
    Recommended: Background knowledge equivalent to CVE 4016 Reinforced Concrete Structures 
  
  • CVE 5020 Geotechnical Engineering

    Credit Hours: 3
    Advanced treatment of theory and principles of engineering soil mechanics as related to permeability, capillary, seepage forces, stress distribution, effective stress, consolidation and shear strength. Includes lab testing of soils for engineering properties.
    Prerequisite: CVE 3020 
  
  • CVE 5025 Foundation Design

    Credit Hours: 3
    Explores the application of soil mechanics to foundation engineering, exploration techniques, foundation selection criteria, design and construction; analysis and design of spread, mat and pile foundations; retaining wall design; drilled piers; caissons; design using geotechnical fabrics; and slope stability.
    Recommended: Background knowledge equivalent to CVE 3020 Soils and Foundations   
  
  • CVE 5035 Design Concepts in Urban Hydrology

    Credit Hours: 3
    Uses state-of-the-art water-quality and water-quantity computer models to predict the impact of urbanization on receiving waters. Students design a stormwater management system as a project.
    Prerequisite: CVE 4032 
  
  • CVE 5037 Numerical Groundwater Modeling

    Credit Hours: 3
    Studies the partial differential equations governing the motion of fluids and solute or contaminants in subsurface media; introduction to finite difference methods; description of the Galerkin finite element method. Uses state-of-the-art models, such as MODFLOW and SUTRA to solve real-world problems.
    Prerequisite: CVE 5039 
  
  • CVE 5039 Groundwater Hydrology and Contaminant Transport

    Credit Hours: 3
    Covers energy concepts and governing equations in groundwater, estimation of aquifer properties, well and well-field design, saltwater intrusion, artificial recharge and modeling of contaminant transport in groundwater.
    Prerequisite: CVE 3030 
  
  • CVE 5050 Design of Remediation Systems

    Credit Hours: 3
    Covers the design process to clean up soil and groundwater contaminated with hazardous waste, including the design of contaminated groundwater capture systems, contaminant treatment, treated water disposal and air phase emission compliance.
  
  • CVE 5052 Solid Waste Management

    Credit Hours: 3
    Regulation, generation, storage, treatment and disposal of solid wastes. Emphasizes the management of solid waste in an environment of changing regulations.
    Requirement(s): Instructor approval
    Prerequisite: CVE 5050 
  
  • CVE 5061 Pavement Design

    Credit Hours: 3
    Covers stresses, strain and deflections in both flexible and rigid pavements; flexible and rigid pavement materials testing techniques; pavement designs for roads and airports; nondestructive pavement evaluation; and pavement management systems. 
    Recommended: Background knowledge equivalent to CVE 3020 Soils and Foundations  
  
  • CVE 5062 Statistical and Econometric Methods for Transportation Data Analysis

    Credit Hours: 3
    Teaches model estimation and application for transportation data analysis (least squares regression; simultaneous equations; count-data; discrete outcome; multinomial, nested and mixed logit; ordered data; duration (hazard-based); and random parameters models). Uses NLOGIT.
    Recommended: Background knowledge equivalent to MTH 5401 Applied Statistical Analysis  
  
  • CVE 5064 Transportation Planning

    Credit Hours: 3
    Covers demand analysis for transportation planning. Includes fundamental modeling techniques (trip generation, trip distribution, mode choice (modal split), traffic assignment), surveys and data requirements. Also includes evaluation of transportation alternatives and policy implications. Uses GIS transportation software.
    Recommended: Background knowledge equivalent to CVE 4060 Transportation Engineering  and MTH 5401 Applied Statistical Analysis  
  
  • CVE 5072 Construction Contracts, Law and Specifications

    Credit Hours: 3
    Includes liability, real property and water rights; environmental and comprehensive planning laws and requirements; evidence, expert witness, claims, disputes and arbitration; contract specifications and drawings; resolution of differences; change orders and contract modifications; and case studies.
    Recommended: Background knowledge equivalent to CVE 4070 Construction Engineering   
  
  • CVE 5073 Construction Cost Engineering

    Credit Hours: 3
    Explores the application of cost engineering principles, and estimating within a project management framework in conjunction with scope definition, quality control, planning and scheduling, risk management and loss prevention techniques, local conditions, information and communications, and working relations with stakeholders.
    Recommended: Background knowledge equivalent to CVE 4000 Engineering Economy and Planning   
  
  • CVE 5074 Leading Construction Operations

    Credit Hours: 3
    Fundamentals of leadership and team building to construction operations. Focuses on the basic principles of leadership including team formation, motivation, organizational dynamics and conflict resolution. Examines construction operations and characteristics, ethics in the business environment and its relationship to sound leadership principles.
  
  • CVE 5080 Selected Topics in Civil Engineering

    Credit Hours: 1 - 3
    Advanced topics in civil engineering. Conducted on a seminar basis with extensive student participation. Topics chosen according to student interest.
    Requirement(s): Instructor approval
  
  • CVE 5095 Special Projects in Civil Engineering

    Credit Hours: 1 - 3
    Special graduate study undertaken on a cooperative basis between a student and a member of the graduate faculty. The project may include a literature search in a selected area or the design and fabrication of research equipment.
    Requirement(s): Department head approval
  
  • CVE 5899 Final Semester Thesis

    Credit Hours: 0 - 2
    Variable registration for thesis completion after satisfaction of minimum registration requirements.
    Requirement(s): Accepted petition to graduate and approval by Office of Graduate Programs
  
  • CVE 5999 Thesis Research

    Credit Hours: 3 - 6
    Individual research under the direction of a graduate faculty member in a selected topic.
    Requirement(s): Thesis advisor approval
  
  • CVE 6899 Final Semester Dissertation

    Credit Hours: 0 - 2
    Variable registration for dissertation completion after satisfaction of minimum registration requirements.
    Requirement(s): Approval by Office of Graduate Programs and accepted candidacy
  
  • CVE 6991 Research in Civil Engineering

    Credit Hours: 1 - 3
    Research under the guidance of a member of the civil engineering faculty in a selected area of civil engineering.
    Repeatable as required
  
  • CVE 6999 Dissertation

    Credit Hours: 3 - 12
    Research and preparation of the doctoral dissertation.
 

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