129 courses with the subject CIVE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Attribute(s): NUpath Natural/Designed World
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Prerequisite(s): ((MATH 1342 with a minimum grade of D- or MATH 211M with a minimum grade of D- ); (PHYS 1151 (may be taken concurrently) with a minimum grade of D- or PHYS 261M (may be taken concurrently) with a minimum grade of D- or PHYS 1161 (may be taken concurrently) with a minimum grade of D- )) or (PHYS 1141 (may be taken concurrently) with a minimum grade of D- ; MATH 1241 with a minimum grade of D- )Corequisite(s): CIVE 2222
Corequisite(s): CIVE 2221
Prerequisite(s): ((CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- ) or CHEM 1161 with a minimum grade of D- or CHEM 1211 with a minimum grade of D- ); (MATH 1342 with a minimum grade of D- or MATH 211M with a minimum grade of D- ) or (PHYS 1161 with a minimum grade of D- ); (PHYS 1151 with a minimum grade of D- or PHYS 261M with a minimum grade of D- )Corequisite(s): CIVE 2261
Corequisite(s): CIVE 2260Attribute(s): NUpath Analyzing/Using Data
Prerequisite(s): CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- or CHEM 1161 with a minimum grade of D- or CHEM 1211 with a minimum grade of D- Corequisite(s): CIVE 2301
Corequisite(s): CIVE 2300
Prerequisite(s): CIVE 2221 with a minimum grade of D- Corequisite(s): CIVE 2321
Corequisite(s): CIVE 2320
Prerequisite(s): CIVE 2221 with a minimum grade of D-
Prerequisite(s): CIVE 2221 with a minimum grade of D-
Prerequisite(s): CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- or CHEM 1161 with a minimum grade of D- or CHEM 1211 with a minimum grade of D-
Prerequisite(s): CIVE 2221 with a minimum grade of D- or CIVE 2260 with a minimum grade of D- Corequisite(s): CIVE 2341
Corequisite(s): CIVE 2340
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Offers an opportunity to document student contributions to research projects or creative endeavors. May be repeated up to nine times.
Prerequisite(s): CIVE 2320 with a minimum grade of D-
Prerequisite(s): CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- or CHEM 1161 with a minimum grade of D- or CHEM 1211 with a minimum grade of D-
Prerequisite(s): CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- or CHEM 1161 with a minimum grade of D- or CHEM 1214 with a minimum grade of D-
Prerequisite(s): MATH 2321 with a minimum grade of D- or MATH 316M with a minimum grade of D-
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Prerequisite(s): (CIVE 2331 with a minimum grade of D- or CHME 2310 with a minimum grade of D- ); CIVE 2334 with a minimum grade of D- Corequisite(s): CIVE 4535
Corequisite(s): CIVE 4534
Examines different aspects relative to municipal and industrial solid waste, with a special focus on material recovery. Covers chemical-physical characterization of waste, source reduction and toxicity, recycling and selection of different fractions, resource and energy recovery (e.g., composting, anaerobic digestion, combustion to energy), and analysis and preliminary design of treatment disposal options. Through design projects, offers students an opportunity to apply lessons learned to the U.S. context. Taught in a study-abroad format in a European nation.
Explores how the country visited manages the recovery and treatment of both industrial and municipal solid waste. Emphasizes waste generated in mining and other industrial activities (e.g., refinery, military). Examines multifaceted aspects, including governance; science/engineering; and health, social, and policy. Offers students an opportunity to interact with local experts and to visit key sights. Encourages students to think about possible policy lessons for the United States. Taught abroad.
Prerequisite(s): CIVE 2340 with a minimum grade of D- ; (ENGL 1111 with a minimum grade of C or ENGL 1102 with a minimum grade of C or (ENGW 1111 with a minimum grade of C or WRIT 201M with a minimum grade of C ) or ENGW 1102 with a minimum grade of C )Attribute(s): NUpath Writing Intensive
Prerequisite(s): CIVE 2261 with a minimum grade of D- ; (ENGL 1111 with a minimum grade of C or ENGL 1102 with a minimum grade of C or ENGW 1111 with a minimum grade of C or WRIT 201M with a minimum grade of C or ENGW 1102 with a minimum grade of C )Attribute(s): NUpath Writing Intensive
Examines how the design of Dutch transportation infrastructure promotes travel by foot, bicycle, and public transportation as opposed to private automobile and how it promotes urban livability and traffic safety. Topics include bicycling infrastructure planning and design; Vision Zero traffic safety principles and design treatments for safe roads, intersections, and crossings; and high-quality transit service planning and design. Through design projects, offers students an opportunity to apply lessons learned to the U.S. context. Taught in a study-abroad format in the Netherlands.
Examines urban transportation planning practices and policies in the Netherlands that promote travel by bicycling, public transportation, and foot and help prevent urban mobility from degrading urban livability. Topics include land-use planning at the site, neighborhood, and regional scale; transit- and bicycle-oriented development, including both land-use and transportation infrastructure planning and policies for large-scale urban expansions; and traffic-circulation planning and policies to promote safety, prevent roads from becoming barriers to walking, cycling, or transit, and to create car-free and car-lite zones. Taught in study-abroad format in the Netherlands.
Surveys the construction industry and tasks that must be addressed by construction management including resource allocation, construction environment, organization, contracts, funding, cash flow, productivity, conceptual and detailed cost estimating, labor relations, network planning and scheduling, construction accounting, and project control.
Prerequisite(s): (CIVE 5536 with a minimum grade of D- or CIVE 4534 with a minimum grade of D- ); (ENGW 3301 with a minimum grade of C or ENGW 3302 with a minimum grade of C or ENGW 3315 with a minimum grade of C or ENGL 3301 with a minimum grade of C or ENGL 3302 with a minimum grade of C or ENGL 3315 with a minimum grade of C )Attribute(s): NUpath Capstone Experience, NUpath Creative Express/Innov, NUpath Writing Intensive
Prerequisite(s): ((CIVE 2324 with a minimum grade of D- ; CIVE 3425 with a minimum grade of D- ) or (CIVE 2324 with a minimum grade of D- ; CIVE 5522 with a minimum grade of D- ) or (CIVE 3425 with a minimum grade of D- ; CIVE 5522 with a minimum grade of D- )) or ((CIVE 2324 with a minimum grade of D- or CIVE 3425 with a minimum grade of D- ); CIVE 4542 with a minimum grade of D- ; (CS 3000 with a minimum grade of D- or FINA 2201 with a minimum grade of D- or BUSM 309M with a minimum grade of D- or MISM 2301 with a minimum grade of D- or SCHM 2301 with a minimum grade of D- )); (ENGW 3301 with a minimum grade of C or ENGW 3302 with a minimum grade of C or ENGW 3315 with a minimum grade of C )Attribute(s): NUpath Capstone Experience, NUpath Creative Express/Innov, NUpath Writing Intensive
Prerequisite(s): CIVE 4554 with a minimum grade of D- ; (ENGW 3301 with a minimum grade of C or ENGW 3302 with a minimum grade of C or ENGW 3315 with a minimum grade of C ); (CIVE 5373 with a minimum grade of D- or CIVE 5376 with a minimum grade of D- or CS 3000 with a minimum grade of D- or FINA 2201 with a minimum grade of D- or BUSM 309M with a minimum grade of D- or MISM 2301 with a minimum grade of D- or SCHM 2301 with a minimum grade of D- )Attribute(s): NUpath Capstone Experience, NUpath Creative Express/Innov, NUpath Writing Intensive
Attribute(s): NUpath Analyzing/Using Data, NUpath Natural/Designed World
Attribute(s): NUpath Natural/Designed World
Focuses on in-depth project in which a student conducts research or produces a product related to the student’s major field. Combined with Junior/Senior Project 2 or college-defined equivalent for 8 credit honors project. May be repeated without limit.
Prerequisite(s): CIVE 4970 with a minimum grade of D-
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Attribute(s): NUpath Integration Experience
Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated without limit.
Explores how problems that are commonly defined in technical terms can be deeply socially embedded. Using case studies, evaluates how engineering solutions and policies can disproportionately affect people’s exposure to harms. Topics include environmental justice, community-based approaches, and the social environment. Offers students an opportunity to enhance their understanding of potential engineering impacts on communities and improve their ability to work with diverse groups.
Prerequisite(s): ENVR 1200 with a minimum grade of D- or ENVR 2200 with a minimum grade of D- or ((PHYS 1151 with a minimum grade of D- or PHYS 261M with a minimum grade of D- ); (PHYS 1152 with a minimum grade of D- or PHYS 26LM with a minimum grade of D- ); (PHYS 1153 with a minimum grade of D- or PHYS 26SM with a minimum grade of D- )) or graduate program admission
Prerequisite(s): CIVE 4575 with a minimum grade of D- or CIVE 7220 with a minimum grade of C-
Prerequisite(s): CIVE 4575 with a minimum grade of D- or CIVE 7220 with a minimum grade of C-
Prerequisite(s): CIVE 4575 with a minimum grade of D- or graduate program admission
Prerequisite(s): CHEM 1151 with a minimum grade of D- or CHEM 233M with a minimum grade of D- or CHEM 1211 with a minimum grade of D- or graduate program admission
Introduces basic concepts of environmental health sciences, methods used to study the interface of health and the environment, the health impacts of various environmental processes and exposures, and public health approaches to controlling or eliminating environmental health risks. Covers basic environmental health principles, such as exposure assessment, environmental toxicology, environmental epidemiology, and risk assessment. Also covers specific environmental health issues including toxic exposures from chemicals used in plastics, food production, and everyday household products; water and air pollution; climate change; and other environmental drivers of disease.
Focuses on fundamentals of fluid mechanics, but with application to the natural and built environment based on transport and dispersion phenomena. Reviews theory necessary for an understanding of environmental fluid flows and methods of observation, including acoustic Doppler current profiles, profiling towers, and modeling, including large eddy simulation (LES).
Introduces the theory, methods, and tools of dynamic modeling for policy and investment decision making, emphasizing environmental issues. Makes use of state-of-the-art computing methods to translate theory and concepts into executable models and offers extensive hands-on modeling experience. Topics include management of discrete flows (e.g., models of traffic systems); discounting, intertemporal optimization (e.g., models of resource extraction); dynamic games (e.g., models for adaptive management); and treatment of risk, uncertainty, novelty, and complexity (e.g., for investment and policymaking).
Introduce various aspects of integrated solid waste management system and hazardous waste management practices. Includes both engineering principles as well as socioeconomic and regulatory issues surrounding solid and hazardous waste management. Provides sufficient background to enable the student to understand, evaluate, and critique the design of and the decisions in various waste management alternatives.
Prerequisite(s): CIVE 3464 with a minimum grade of D- or graduate program admission
Introduces remote sensing techniques, including obtaining, visualizing, and analyzing satellite data. Examines physical processes, methods, and data products used in satellite remote sensing of the Earth’s environment. Topics include active and passive remote sensing methods based on fundamentals of electromagnetic radiation, concepts used to develop data products from the remotely sensed measurements, and a suite of satellite data products to investigate current and past conditions of the Earth’s terrestrial and ocean surfaces. Uses geographic information systems (GIS) and student-developed programs to view and interpret satellite data. Knowledge of GIS, R, and Python is preferred.
Prerequisite(s): CIVE 2331 with a minimum grade of D- or EEMB 3120 with a minimum grade of D- or graduate program admission
Offers an evidence-based glimpse of what has been called a clear and present danger to mankind. Analyzes case studies from the magic of the butterfly effect in chaos theory to the deep challenges in physics, biogeochemistry, and data sciences. Covers topics from experimental design to satellite-based remote sensing, all the way to the design and operations of next-generation hydraulic infrastructures, transportation systems, smart grids, and communication networks, including the impacts on coastal or inland cities, the resilience to weather hazards, and the sustainability of water-energy-food resources. Includes policy issues and risk-informed trade-offs in renewable energy, environmental regulations, and emissions control. Graduate students are required to complete a mandatory class project.
Presents the major engineering technologies and large-scale infrastructure changes needed to address global climate change. Examines multiple strategies for proposed engineering solutions, including mitigation of emissions (demand reduction and decarbonization), adaptation to climate change, carbon capture and storage (negative emissions), and geoengineering. Covers engineering and design fundamentals, technical feasibility for scale-up, and economic implications, informed by cutting-edge scientific and technical reports for each technology. Concludes with a holistic consideration of engineering costs, speed, effectiveness, and ethics in prioritizing investments in climate technologies.
Introduces the fundamentals of atmospheric composition; their sources, properties, and chemistry in the atmosphere; and their effects on human health and the environment. Covers the history of the discovery of chemicals, the evolution of the earth's atmosphere, and the structure and composition of the present-day atmosphere. Discusses science of major air pollution issues on an urban through global scale, including urban outdoor air pollution, indoor air pollution, acid deposition, stratospheric ozone depletion, air pollution transport across political boundaries, and global climate change, as well as energy solutions to air pollution and global warming.
Prerequisite(s): CIVE 2334 with a minimum grade of D- or graduate program admission
Prerequisite(s): (CIVE 2331 with a minimum grade of D- ; (MATH 2321 with a minimum grade of D- or MATH 316M with a minimum grade of D- ); PHYS 1161 with a minimum grade of D- ) or graduate program admission
Discusses urban transportation planning and engineering for modes other than highway. Covers travel demand forecasting for both the short and long term including impact analysis methods, simple elasticity models, and the four-step model system of trip generation, trip distribution, modal split, and network assignment. Introduces transit service analysis and design. Other topics include capacity, service, and engineering design basics for different travel modes, such as bus, airport, rail, and bicycle. Considers the environmental impact, economic evaluation, and financial impact of different modes of transportation.
Covers street and intersection design for meeting societal needs related to traffic capacity, level of service, safety, walkability, bikeability, and the quality of public space. Intersection analysis and design topics include traffic flow theory and measurement; capacity; queuing and delay for both vehicles and pedestrians; and signal timing plan design, including design for pedestrian crossings. Street design topics include street functions; speed control; street and intersection layout; bicycling facilities, including bike lanes and separated bike paths; and pedestrian facilities, including sidewalks and crossings. Offers students an opportunity to practice with standard design manuals and intersection analysis software.
Prerequisite(s): CIVE 2320 with a minimum grade of D- or graduate program admission
Prerequisite(s): (CIVE 2320 with a minimum grade of D- ; (MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- )) or graduate program admission
Prerequisite(s): (CIVE 2320 with a minimum grade of D- ; (MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- )) or graduate program admission
Prerequisite(s): CIVE 2320 with a minimum grade of D- ; CIVE 2324 with a minimum grade of D- or graduate program admission
Prerequisite(s): (CIVE 2324 with a minimum grade of D- or CIVE 3425 with a minimum grade of D- ) or graduate program admission
Prerequisite(s): (CIVE 2324 with a minimum grade of D- or CIVE 3425 with a minimum grade of D- ) or graduate program admission
Prerequisite(s): (CIVE 2331 with a minimum grade of D- ; (ENGL 1111 with a minimum grade of C or ENGW 1111 with a minimum grade of C or WRIT 201M with a minimum grade of C or ENGL 1102 with a minimum grade of C or ENGW 1102 with a minimum grade of C )) or graduate program admissionAttribute(s): NUpath Writing Intensive
Attribute(s): NUpath Natural/Designed World
Offered when the need for a special topic is evident to faculty and students. Topics are initiated by appropriate faculty members and discipline committee and approved by the department. May be repeated up to two times for up to 12 total credits.
Offers an opportunity to conduct research under faculty supervision. May be repeated without limit.
Examines how Dutch communities and their transportation systems are planned and designed to promote ABC (all-but-car) transportation, traffic safety, and livability. Topics include design of urban bicycling infrastructure for the mainstream population; planning and service design for high-quality public transportation; urban planning in support of transit, bicycle, and foot transportation, including both suburban development and urban redevelopment; and Vision Zero/Systematic Safety policy and design for traffic safety and its application to urban areas. Taught in study-abroad format in the Netherlands.
Combines the science, engineering, economic, social, and policy aspects of how cities can prepare themselves for climate change and natural hazards. Focuses on the science of unprecedented changes in weather caused by global warming and natural climate variability. Introduces the physical-science basis of climate, computer models and statistical tools, and remote sensor data. Presents the concept of urban resilience, focusing on preventing natural hazards from turning into catastrophic disasters in densely populated regions. Examines resilience from governance, emergency response, infrastructural, informational, social, and policy aspects. Encourages students to consider the science, engineering, and policy challenges in transforming vulnerable urban and coastal regions to climate-resilient cities and to examine how societies can learn from each other by comparing Boston with the country visited. Taught abroad.
Explores how the country visited plans to adapt to climate change and natural hazards and how it chooses to participate in international climate and emissions negotiations. Focuses on how an emerging economy adjusts to the reality of climate change/extremes and how the will of citizens may drive decisions and policy. Incorporates topics from climate change, environmental sciences, civil and chemical engineering, remote sensing, social sciences, electrical engineering, computer science, and the management sciences. Encourages students to think about possible policy lessons for the United States. Culminates with a mock climate change war game, simulating an event in which international negotiators meet to formulate treaties on climate change adaptation and mitigation. Taught abroad.
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Introduces incoming research-oriented graduate students in civil and environmental engineering to best practices and useful tools and techniques in conducting and communicating scientific research. Course topics include reviewing and summarizing literature, proposal writing, planning and conducting research, scientific writing and communication, and careers in research. Class sessions mix short lectures (from course instructors and guests), class discussions, and peer- and group-based activities. Offers instruction about effective research practices across the broad field of civil and environmental engineering to lay the groundwork for successful research experiences at Northeastern and in students' future careers.
Introduces research-oriented graduate students in civil and environmental engineering to best practices and useful tools and techniques in computer programming and data science across the discipline. Course topics include basic programming, data acquisition and management, design of experiments and common statistical tests, and data visualization and figure design. Class sessions will be a mix of short lectures (from course instructors and guests), class discussions, and peer- and group-based activities. Offers instruction in effective data science practices across the broad field of civil and environmental engineering to lay the groundwork for successful research experiences at Northeastern and in students' future careers.
Offers an interdisciplinary course covering the fundamentals of time series and spatial statistics with applications in engineering, science, and business. Introduces analysis and forecasting methods for time series, spatial, and spatiotemporal data. Discusses classical time or frequency domain methods, as well as recent techniques motivated from computer science, physics, statistics, or engineering. Case studies relate to ongoing research and to real-world examples. A demo project is selected by the instructor based on discussion with individual students. A computer-based final project can be tailored to student interests in environmental engineering, sustainability sciences, security threat assessments, social sciences, business, or management science and finance. Requires undergraduate probability and statistics (CIVE 3464 or equivalent); background in programming languages such as MATLAB or R helpful but not required.
Introduces the concept of resilience by exploring engineering concepts and perspectives to offer students an opportunity to develop the ability to be prepared for and adapt to challenging situations and scenarios—e.g., globalization, climate change, security threats, and natural disasters—on critical infrastructures and key resources. Topics include application of tools for infrastructure modeling and risk assessment; identification of natural and man-made hazards; management of disaster risks and communications; resilience design; and future challenges, policy, and novel approaches to advance resilience. Explores application to real-life examples through group projects. Requires one semester of undergraduate statistics.
Presents supervised and unsupervised methods for dealing with large data sets and their application to support decision making in various civil and environmental engineering areas. Focuses on predictive models and methods for knowledge mining. Discusses applications from the transportation, urban mobility, and infrastructure maintenance domains. Topics include classification: linear regression, logistic regression, K-NN, and other classifiers; dimensionality reduction; clustering: K-means, hierarchical clustering, Gaussian mixture models, density-based clustering; model validation; and text mining. Demonstrates the applicability and underlying principles of the various methods through case studies with extensive data sets. Applications include classification of pavement distress images; mobility patterns; real-time transportation demand prediction; and text mining from reports. Background in probability and statistics and familiarity with Python/R recommended.
Offers a comprehensive review of urban informatics in civil and infrastructure engineering research. Discusses the usage of these data and offers students hands-on opportunities to extensively analyze, comprehend, and visualize five types of data sets: construction and infrastructure development; urban mobility and traffic; sensors in built environments; geosocial networks; and social media. Provides extensive data sets for practices. Python is the main platform for analysis and visualization.
Prerequisite(s): MATH 2341 with a minimum grade of D- or MATH 315M with a minimum grade of D- or graduate program admission
Examines advanced concepts of the theory, application, methodology, and instrumentation used in planning, sampling, and analyzing environmental contaminants in air, water, and soils. Emphasizes design of lab experiments and field studies in the context of real-world conditions including sample management, instrument selection and quality control, documentation, calibration, data analysis, and data interpretation. Offers students an opportunity to build skills in proposal and report writing, as well as project design, through field experiments and class projects, including individual and team components.
Presents all aspects of construction management, with emphasis on cost and schedule. Provides conceptual and detailed cost estimates and network-based scheduling techniques (CPM and PERT). Covers project cash flow and finances. Requires one semester of undergraduate probability and statistics.
Overviews the U.S. legal system and the theories necessary for the comprehension of business and contractual liabilities. Discusses various types of contracts, forms of business ownership, claims and disputes, and environmental law.
Focuses on the selection and application of earthmoving equipment. Topics include equipment production systems and cost analysis, simulation modeling of equipment operations, statistical aspects of computer simulation, and risk analysis fundamentals. Requires one semester of construction management or one semester of undergraduate soil mechanics.
Examines applications of chemistry to environmental engineering. Covers properties of water and pollutants, acid-base reactions, pH, alkalinity, equilibrium chemistry, chemical kinetics, chemical thermodynamics, coordination chemistry, precipitation-dissolution reactions, surface chemistry, adsorption-desorption, redox reactions, and organic chemistry as it relates to the environment. Includes relevant laboratory exercises such as colorimetry, gravimetric, and electrochemical methods; atomic absorption spectrophotometry; and ion and gas chromatography. Requires one semester of undergraduate chemistry.
Examines microbiology with emphasis on biological processes in environmental engineering applications. Topics include cell structure, morphology, cell nutrition and growth, energy transfer and utilization, aerobic and anaerobic microbial metabolism, biological wastewater process theory and modeling, biological nutrients removal, and disinfection of relevant microorganisms. Includes relevant laboratory exercises of treatment parameters used to monitor the biological processes, such as BOD, TOC, COD, gravimetric methods, and dissolved oxygen. Also covers enzyme kinetics and evaluation of kinetic coefficients for biotreatment. Requires one semester of undergraduate chemistry or one semester of undergraduate biology.
Examines the processes of physical and chemical phenomena related to water quality and water treatment within environmental engineering. Presents the use of fundamental theory, mathematical description, and applied knowledge of these processes and how they are used to characterize water quality in natural systems (lakes, rivers) and to predict performance in engineered systems (water treatment systems). Uses a mass balance and reaction kinetics approach to derive analysis and design equations for water treatment unit operations. Covers physical and chemical processes, including reaction kinetics, flow regimes, dissolved solute removal, particulate removal, phase transfer processes, and redox processes. Includes laboratory demonstrations. Basic knowledge of water quality, environmental chemistry, and differential equations preferred.
Covers the vertical and lateral fluxes and stores of water within the terrestrial hydrologic cycle such as precipitation (rain and snow); infiltration; runoff; snowmelt; evapotranspiration; streamflow; groundwater recharge/discharge; and surface (snowpack, lakes, rivers) and subsurface (soil moisture and groundwater) storages. Individual simulation models are developed to represent key processes within the hydrologic cycle. Process models are then integrated to approximate the hydrologic cycle of a watershed. Covers model parameterization, calibration, validation, and uncertainty (model parameters and forcings). Knowledge of geographic information systems and programming is recommended.
Prerequisite(s): CIVE 5366 with a minimum grade of C- ; CIVE 5368 with a minimum grade of C-
Prerequisite(s): CIVE 5366 with a minimum grade of C- ; CIVE 7278 with a minimum grade of C-
Prerequisite(s): (CIVE 5281 with a minimum grade of C- or CIVE 5281 with a minimum grade of C- ) or (EEMB 5516 with a minimum grade of C- or EEMB 5516 with a minimum grade of C- )
Prerequisite(s): CIVE 5281 with a minimum grade of C- or CIVE 5281 with a minimum grade of C- or CHME 7350 with a minimum grade of C-
Studies characterization of soils, soil mineralogy and chemistry, stresses within a soil mass, basic porous media flow principles, effective stress principle, compaction, drained and undrained stress-strain-strength concepts, and consolidation theory and its application. Requires one semester of undergraduate soil mechanics.
Focuses on bearing-capacity and settlement analysis of conventional shallow foundations and combined footings; mat design; lateral earth pressure theory and application to retaining wall design, braced excavations, sheet pile wall design, and slurry trench walls; bearing-capacity design and analysis for deep foundations; and laterally loaded piles, friction piles, and pile-driven analysis. Requires one semester of undergraduate soil mechanics.
Considers dynamic loads, blast vibrations and monitoring, dynamic response of single-mass, multi degree-of-freedom systems, design of machine foundations, dynamic soil properties, ground response analysis, liquefaction, and seismic analysis of slopes and dams. Requires one semester of undergraduate statics.
Studies plate tectonics, seismology, faults and characteristics, ground motions, seismic hazard analysis, dynamic response of single degree-of-freedom system, response spectrum, site effects, and seismic design considerations for buildings, bridges, and earth-retaining structures. Requires one semester of undergraduate statics.
Addresses how problematic groundwater conditions, low shear strength, high compressibility, and the need for remediation can be resolved through ground improvement, which is the application of innovative technologies and construction techniques designed to improve the engineering properties of the existing soil and rock at a site. Emphasizes specific, well-established, and emerging ground improvement technologies, including their applications, design, construction/implementation, and quality control.
Explores modern methods of structural analysis, matrix formulation of flexibility and stiffness methods, and analysis of structures with material and geometric nonlinearities. Also introduces energy methods. Requires CIVE 5522 or one semester undergraduate matrix structural analysis.
Examines single and multi degree-of-freedom systems subjected to arbitrary dynamic loads. Topics include convolution and frequency domain solutions, introduction to analytical dynamics, damping models, modal analysis of classically damped systems, and state-space formulation. Requires one semester of undergraduate structural analysis.
Examines applications of probability theory and random variables for determining the reliability of structures. Includes the following topics: formulation of reliability for structural components and systems; first-order second-moment method, first- and second-order reliability methods, and simulation methods; analysis of model uncertainty and Bayesian parameter estimation technique; load and resistance models and bases for probabilistic structural codes; and time-dependent reliability methods. Assumes no prior knowledge of probability theory.
Studies methods for identifying the fundamental characteristics of structures. Includes topics in linear algebra (singular value and QR decomposition, pseudoinversion, and so on); input-output relationships for linear time-invariant systems; frequency response functions; signal processing fundamentals; realization theory; the eigensystem realization algorithm; use of observers in identification; and introduction to out-only system identification.
Considers flexural mechanics of reinforced concrete cross sections and members; combined bending, axial, and shear loads; advanced topics in shear, torsion, and connection design; and application of plastic analysis to reinforced concrete frames, their behavior under cyclic loading, and response of structures under seismic actions. Requires one semester of undergraduate concrete design.
Studies the behavior and design of steel structural systems, including structural stability; advanced topics in mechanics and design of structural steel members, including combined axial, flexure, and shear loads; composite steel/concrete beam and column behavior and design; plate girders; and advanced topics in connection design. Requires one semester of undergraduate steel design.
Covers atmospheric circulation, atmospheric boundary layer winds, bluff-body aerodynamics, introduction to random vibration theory, response of structures to fluctuating wind loads, aeroelastic phenomena, wind-tunnel and full-scale testing, nonsynoptic winds (hurricanes, tornadoes, etc.), wind-load standards, and design applications.
Reviews concepts and methods for the analysis of the performance of complex transportation systems and approaches for planning, design, monitoring, and management and control of traffic flows over complex transportation networks. Topics include deterministic and probabilistic models, elements of queuing theory, network optimization algorithms, and simulation. Includes applications in traffic flow modeling, capacity analysis of diverse transportation facilities, level of service and estimation of delays, optimal design of transportation network services, and traffic assignment on congested networks.
Studies methods used for model estimation, model building, and interpretation of results. Emphasizes travel demand forecasting, including trip generation, distribution, model choice, and route choice. Topics include aggregate and disaggregate models, including discrete choice (binary and multinomial logit and extensions), model building and statistical testing, aggregation, sampling, and sample design. Demonstrates the applicability and underlying principles of the various models through case studies with focus on practical aspects and interpretation. Bases main methodological approaches on econometric methods, mainly on regression modeling and maximum likelihood estimation. Uses general and specialized software tools for data analysis and model estimation. While the focus is on estimating transportation demand models, the methods are applicable to a broad class of applications in engineering, marketing, etc.
Covers analysis and design of traffic signal control, including actuated control, coordinated control, transit signal priority, and signal control schemes for better accommodating pedestrians and bicycles. Includes the study of traffic microsimulation for urban street networks, including modeling techniques and simulation-based evaluation, and intersection performance models. Offers students an opportunity to practice with standard microsimulation software, including coding traffic signal control logic.
Prerequisite(s): CIVE 7281 with a minimum grade of C-
Studies the analysis, planning, and operational design of urban public transportation systems. Topics include service planning and scheduling; service reliability and operational control; automated systems for location, fare collection, and passenger counting; service performance measurement; rail system operations and design; data collection; ridership estimation; demand forecasting; pricing; and coordinated transit and land-use planning. Introduces supporting mathematical methods in optimization, random processes, and statistical sampling.Requires knowledge of probability theory.
Concentrates on roadway design features that affect safety, including system users and design elements. Topics include crash causation and countermeasures, statistical procedures for crash analysis, and geometric design improvements for roads and intersections. Analyzes crash data, including both intersecting and nonintersecting locations. Presents concepts, including design, to create a safer transportation system while addressing specific high-crash locations.
Offered when the need for a special topic is evident to faculty and students. The course is initiated by the appropriate faculty members and discipline committee and approved by the department. May be repeated without limit.
Presents topics of an advanced nature by staff, outside speakers, and students in the graduate program. This course must be attended every semester by all full-time graduate students in the Department of Civil and Environmental Engineering. Environmental engineering students permitted. May be repeated without limit.
Offers students an opportunity for individual effort consisting of laboratory, literature and/or computational investigation, analysis of results, and preparation of a definitive report as part of an advanced research project in an area of civil engineering determined by the student and their advisor.
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated without limit.
Offers students an opportunity to conduct full-time research under faculty supervision.
Prerequisite(s): CIVE 7945 with a minimum grade of C-
Offers continued thesis work conducted under the supervision of a departmental faculty.
Offers students an opportunity to prepare for the PhD qualifying exam under faculty supervision. Intended for students who have completed all required PhD course work and have not yet achieved PhD candidacy; students who have not completed all required PhD course work are not allowed to register for this course. May be repeated once.
Offers an opportunity to conduct research under faculty supervision. May be repeated without limit.
Offers an opportunity to conduct full-time research under faculty supervision. May be repeated without limit.
Indicates successful completion of program requirements for PhD candidacy.
Offers an opportunity to conduct research under faculty supervision. May be repeated without limit.
Offers an opportunity to conduct full-time research under faculty supervision. May be repeated without limit.
Prerequisite(s): CIVE 9000 with a minimum grade of S
Prerequisite(s): CIVE 9990 with a minimum grade of S
Prerequisite(s): CIVE 9991 with a minimum grade of S or Dissertation Check with a score of REQ
Source: Northeastern University Professional Programs's catalog, linked per course · table learning_unit · CourseShelf publish 61
