3 D Project Based Learning Basics for the New Generation Science Standardsrekharajaseran
This presentation is a part of the workshop presented at Griffin RESA Drive-In STEM Conference on September 28, 2016. It provides an introduction to the basics of three dimensional project based learning for STEM Education and New Generation Science Standards.
1 Nova Southeastern University College of Computing.docxShiraPrater50
1
Nova Southeastern University
College of Computing and Engineering
Master of Management Information Systems
MMIS 643 Data Mining
Fall 2019
(August 19 – December 8, 2019)
Class Project
Due Date: November 17, 2019 (Firm)
Instructor: Dr. Junping Sun
In this project, you will be expected to do a comprehensive literature search and survey, select and
study a specific topic in one subject area of data mining and its applications in business
intelligence and analytics (BIA), and write a research paper on the selected topic by yourself. The
research paper you are required to write can be a detailed comprehensive study on some specific
topic or the original research work that will have been done by yourself.
Requirements and Instructions for the Research Paper:
1. The objective of the paper should be very clear about subject, scope, domain, and the goals to be
achieved.
2. The paper should address the important advanced and critical issues in a specific area of data
mining and its applications in business intelligence and analytics. Your research paper
should emphasize not only breadth of coverage, but also depth of coverage in the specific area.
3. The research paper should give the measurable conclusions and future research directions (this is
your contribution).
4. It might be beneficial to review or browse through about 15 to 20 relevant technical articles
before you make decision on the topic of the research project.
5. The research paper can be:
a. Literature review papers on data mining techniques and their applications for business
intelligence and analytics.
b. Study and examination of data mining techniques in depth with technical details.
c. Applied research that applies a data mining method to solve a real world application in terms
of the domain of BIA.
6. The research paper should reflect the quality at certain academic research level.
7. The paper should be about at least 3000-3500 words double space.
8. The paper should include adequate abstraction or introduction, and reference list.
9. Please write the paper in your words and statements, and please give the names of
references, citations, and resources of reference materials if you want to use the statements from
other reference articles.
2
10. From the systematic study point of view, you may want to read a list of technical papers from
relevant magazines, journals, conference proceedings and theses in the area of the topic you
choose.
11. For the format and style of your research paper, please make reference to CEC Dissertation
Guide (http://cec.nova.edu/doctoral/documents/nsu-cec-dissertation-guides.html), Publication
Manual of APA, or the format of ACM and IEEE journal publications.
Suggested and Possible Topics for Written Report (But Not Limited)
Supervised Learning Methods:
Classification Methods:
Regression Methods
Multiple Linear Regression
Logistic Regression ...
3 D Project Based Learning Basics for the New Generation Science Standardsrekharajaseran
This presentation is a part of the workshop presented at Griffin RESA Drive-In STEM Conference on September 28, 2016. It provides an introduction to the basics of three dimensional project based learning for STEM Education and New Generation Science Standards.
1 Nova Southeastern University College of Computing.docxShiraPrater50
1
Nova Southeastern University
College of Computing and Engineering
Master of Management Information Systems
MMIS 643 Data Mining
Fall 2019
(August 19 – December 8, 2019)
Class Project
Due Date: November 17, 2019 (Firm)
Instructor: Dr. Junping Sun
In this project, you will be expected to do a comprehensive literature search and survey, select and
study a specific topic in one subject area of data mining and its applications in business
intelligence and analytics (BIA), and write a research paper on the selected topic by yourself. The
research paper you are required to write can be a detailed comprehensive study on some specific
topic or the original research work that will have been done by yourself.
Requirements and Instructions for the Research Paper:
1. The objective of the paper should be very clear about subject, scope, domain, and the goals to be
achieved.
2. The paper should address the important advanced and critical issues in a specific area of data
mining and its applications in business intelligence and analytics. Your research paper
should emphasize not only breadth of coverage, but also depth of coverage in the specific area.
3. The research paper should give the measurable conclusions and future research directions (this is
your contribution).
4. It might be beneficial to review or browse through about 15 to 20 relevant technical articles
before you make decision on the topic of the research project.
5. The research paper can be:
a. Literature review papers on data mining techniques and their applications for business
intelligence and analytics.
b. Study and examination of data mining techniques in depth with technical details.
c. Applied research that applies a data mining method to solve a real world application in terms
of the domain of BIA.
6. The research paper should reflect the quality at certain academic research level.
7. The paper should be about at least 3000-3500 words double space.
8. The paper should include adequate abstraction or introduction, and reference list.
9. Please write the paper in your words and statements, and please give the names of
references, citations, and resources of reference materials if you want to use the statements from
other reference articles.
2
10. From the systematic study point of view, you may want to read a list of technical papers from
relevant magazines, journals, conference proceedings and theses in the area of the topic you
choose.
11. For the format and style of your research paper, please make reference to CEC Dissertation
Guide (http://cec.nova.edu/doctoral/documents/nsu-cec-dissertation-guides.html), Publication
Manual of APA, or the format of ACM and IEEE journal publications.
Suggested and Possible Topics for Written Report (But Not Limited)
Supervised Learning Methods:
Classification Methods:
Regression Methods
Multiple Linear Regression
Logistic Regression ...
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Lateral Ventricles.pdf very easy good diagrams comprehensive
00 general paper
1. PÀ£ÁðlPÀ gÁdå G¥À£Áå¸ÀPÀgÀ CºÀðvÁ ¥ÀjÃPÉë (PÉ-¸Émï)
KARNATAKA STATE ELIGIBILITY TEST (K-SET)
FOR LECTUERSHIP
Subject: GENERAL PAPER Subject Code: 00
SYLLABUS
SUBJECT: GENERAL PAPER ON TEACHING AND
RESEARCH APTITUDE
The main objective is to assess the teaching and research capabilities of the
candidates. Therefore, the test is aimed at assessing the teaching and
general/research aptitude as well as their awareness. They are expected to
possess and exhibit cognitive abilities. Cognitive abilities include
comprehension, analysis, evaluation, understanding the structure of
arguments and deductive and inductive reasoning. The candidates are also
expected to have a general awareness and knowledge of sources of
information. They should be aware of interaction between people,
environment and natural resources and their impact on quality of life. The
details are given in the following sections:
NOTE : i) Each section gets equal weightage : five questions and 10 marks from each
section.
ii) Whenever pictorial questions are set for the sighted candidates a
passage followed by equal number of questions should be set for the
visually handicapped candidates.
I. Teaching Aptitude
);;:> Teaching: Nature, objectives, characteristics and basic requirements;
);;:> Learner's characteristics;
);;:> Factors affecting teaching;
);;:> Methods of teaching;
);;:> Teaching aids;
);;:> Evaluation systems.
Il. Research Aptitude
);;:> Research : Meaning, characteristics and types;
);;:> Steps of research;
);;:> Methods of research;
~ Research Ethics;
);;:> Paper, article, workshop, seminar, conference and symposium;
~ Thesis writing: its characteristics and format.
2. 2
ID. Reading Comprehension
)> A passage to be set with questions to be answered.
IV. Communication
)> Communication : Nature, characteristics, types, barriers and effective classroom
communication.
V. Reasoning (Including Mathematical)
)> Number series; letter series; codes;
)> Relationships;classification.
VI. Logical Reasoning
)> Understanding the structure of arguments;
)> Evaluating and distinguishingdeductive and inductive reasoning;
)> Verbal analogies: Word analogy-Applied analogy;
)> Verbal classification;
)> Reasoning Logical Diagrams : Simple diagrammatic relationship, multi•
diagrammaticrelationship;
)> Venn diagram;AnalyticalReasoning.
VII. Data Interpretation
)> Sources, acquisition and interpretation of data;.
)> Quantitative and qualitative data;
)> Graphicalrepresentation and mapping of data.
VIII. Information and Communication Technology (ICT)
)> ICT: meaning, advantages, disadvantages and uses;
)> General abbreviations and terminology;
)> Basics of internet and e-mailing.
IX. People and Environment
)> People and environment interaction;
)> Sources of pollution;
)> Pollutants and their impact on human life, exploitation of natural and energy
resources;
)> Natural hazards and mitigation
3. 3
X. Higher Education System : Governance, Polity And Administration
);;>- Structure of the institutions for higher learning and research in India; formal and
distance education; professional/technical and general education; value education:
governance, polity and administration;concept, institutions and their interactions.