Analysis Of Structures: An Introduction Includi...
CE 330 Fluid Mechanics (3)Hydraulic considerations for wells, pumps, and distribution systems, including conservation of mass, momentum, and energy incompressible flow of fluids with introduction of compressible flow: dimensional analysis and similitude; laminar and turbulent flows; empirical methods. Hydrologic design and analysis of drainage. Hydrologic cycle components necessary for determining design flows. Use of computer analysis techniques. Prerequisite: CHE 231T and CHE 231L or equivalent.
Analysis of Structures: An Introduction Includi...
An introduction to the theory and development aspects of a high-level programming language. The course covers programming methodologies, control structures, predefined and user defined functions, input/output streams, control structures, logical expressions, enumeration, repetition, multidimensional array and string manipulation, structures, searching, sorting techniques, and advanced input/output. Program analysis, design, development, and testing are emphasized. Prerequisite: MTH 1112.
Course provides an introduction to cyber security. Topics include security protocols and policies, basic cryptography, various kinds of cyber threats and defenses, secure software design, key management, attack modeling and risk analysis. Prerequisite: MTH 1112
Course provides an introduction to the principles, techniques, and tools of ethical hacking. Topics include information gathering and scanning, vulnerability analysis and exploitation. Emphasis is placed on hands-on and practical real world security threats and remedies. Prerequisite: CS 3323.
An introduction to mathematical ideas from numerical approximation, scientific computing, and/or data analysis. Topics will be selected from numerical linear algebra, numerical analysis, and optimization. Theory, implementation, and application of computational methods will be emphasized.
This fundamental civil engineering course provides an introduction to the analysis of structures in static equilibrium. The focus of this course is a classical analysis of concurrent and non-concurrent equilibrium. A variety of engineering problems including trusses, machines, beams, rigid frames, and hydraulic structures involving concentrated and distributed loading systems are analyzedfor external reactions and internal forces.
This course provides an introduction to the relationship between analysis, design, and the behavior of materials under load. Theory and applications are developed that utilize simple and combined stress-strain behavior of memberssubjected to axial, torsional, and flexural loadings, with applications to beams, trusses, rigid frames, shafts, and tension and compression structures.
This course provides an introduction to the field of transportation engineeringwith particular emphasis on traffic engineering. Topics covered include adescription of the transportation industry and transportation modes; characteristicsof drivers, pedestrians, vehicles and the roadway; traffic engineering studies, highway safety, principles of traffic flow, intersection design and control, capacity analysis, and level of service analysis.
The next paragraphs in the introduction should cite previous research in this area. It should cite those who had the idea or ideas first, and should also cite those who have done the most recent and relevant work. You should then go on to explain why more work was necessary (your work, of course.) What else belongs in the introductory section(s) of your paper? A statement of the goal of the paper: why the study was undertaken, or why the paper was written. Do not repeat the abstract.
Sufficient background information to allow the reader to understand the context and significance of the question you are trying to address.
Proper acknowledgement of the previous work on which you are building. Sufficient references such that a reader could, by going to the library, achieve a sophisticated understanding of the context and significance of the question.
The introduction should be focused on the thesis question(s). All cited work should be directly relevent to the goals of the thesis. This is not a place to summarize everything you have ever read on a subject.
Explain the scope of your work, what will and will not be included.
A verbal "road map" or verbal "table of contents" guiding the reader to what lies ahead.
Is it obvious where introductory material ("old stuff") ends and your contribution ("new stuff") begins?
Remember that this is not a review paper. We are looking for original work and interpretation/analysis by you. Break up the introduction section into logical segments by using subheads. Methods What belongs in the "methods" section of a scientific paper? Information to allow the reader to assess the believability of your results.
Information needed by another researcher to replicate your experiment.
Description of your materials, procedure, theory.
Calculations, technique, procedure, equipment, and calibration plots.
Limitations, assumptions, and range of validity.
Desciption of your analystical methods, including reference to any specialized statistical software.
The methods section should answering the following questions and caveats: Could one accurately replicate the study (for example, all of the optional and adjustable parameters on any sensors or instruments that were used to acquire the data)?
Could another researcher accurately find and reoccupy the sampling stations or track lines?
Is there enough information provided about any instruments used so that a functionally equivalent instrument could be used to repeat the experiment?
If the data are in the public domain, could another researcher lay his or her hands on the identical data set?
Could one replicate any laboratory analyses that were used?
Could one replicate any statistical analyses?
Could another researcher approximately replicate the key algorithms of any computer software?
Citations in this section should be limited to data sources and references of where to find more complete descriptions of procedures. Do not include descriptions of results. Results The results are actual statements of observations, including statistics, tables and graphs.
Indicate information on range of variation.
Mention negative results as well as positive. Do not interpret results - save that for the discussion.
Lay out the case as for a jury. Present sufficient details so that others can draw their own inferences and construct their own explanations.
Use S.I. units (m, s, kg, W, etc.) throughout the thesis.
Break up your results into logical segments by using subheadings
Key results should be stated in clear sentences at the beginning of paragraphs. It is far better to say "X had significant positive relationship with Y (linear regression p
AEROSP 215. Introduction to Solid Mechanics and Aerospace StructuresAdvisory Prerequisite: Preceded or accompanied by MATH 216 and AEROSP 201. (3 credits)An introduction to the fundamental phenomena of solid and structural mechanics in Aerospace systems. Includes analysis and numerical methods of solutions used for design of thin-walled Aerospace structures. Emphasis is placed on understanding behavior particular to thin-walled structures. CourseProfile (ATLAS)
AEROSP 315. Aircraft and Spacecraft StructuresAdvisory Prerequisite: AEROSP 215 and MATH 216. (3 credits)An introduction to the fundamental phenomena of solid and structural mechanics in aerospace systems. Includes analysis and numerical methods of solution that are used for design of aerospace structures. CourseProfile (ATLAS)
This course presents an introduction to the study of language through the basic aspects of linguistic analysis: the sound system (phonetics and phonology), the structure of words and sentences (morphology and syntax), and the ways in which language is used to convey meaning (semantics and pragmatics). In addition, the course will investigate how language is acquired and stored in the brain, and how differences in speech styles and dialects reflect different social and cultural backgrounds of individual speakers.
Principles of morphological and syntactic analysis and introduction to functional and formal theories of grammar. Descriptive analysis of grammatical structures and problems from a variety of languages.
BSCI 3270 Statistical Methods in Biology. An introduction to statistical methods used in the analysis of biological experiments, including the application of computer software packages. Emphasis on testing of hypotheses and experimental design. Topics include descriptive statistics, analysis of variance, regression, correlation, contingency analysis, and the testing of methods for sampling natural populations. Prerequisite: BSCI 1511.
BIOS 6311 Principles of Modern Biostatistics. This is the first in a two-course series designed for students who seek to develop skills in modern biostatistical reasoning and data analysis. Students learn the statistical principles that govern the analysis of data in the health sciences and biomedical research. Traditional probabilistic concepts and modern computational techniques will be integrated with applied examples from biomedical and health sciences. Statistical computing uses software packages STATA and R; prior familiarity with these packages is helpful but not required. Topics include: types of data, tabulation of data, methods of exploring and presenting data, graphing techniques (boxplots, q-q plots, histograms), indirect and direct standardization of rates, axioms of probability, probability distributions and their moments, properties of estimators, the Law of Large numbers, the Central Limit Theorem, theory of confidence intervals and hypothesis testing (one sample and two sample problems), paradigms of statistical inference (Frequentist, Bayesian, Likelihood), introduction to non-parametric techniques, bootstrapping and simulation, sample size calculations and basic study design issues. One hour lab required; Students are required to take 6311L concurrently. Prerequisite: Calculus I. 041b061a72