This course examines the theory and practice of using computational methods in the emerging field of digital humanities. It develops an understanding of key digital humanities concepts, such as data representation, digital archives, information visualization, and user interaction through the study of contemporary research, in conjunction with working on real-world projects for scholarly, educational, and public needs. Students create prototypes, write design papers, and conduct user studies.

The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

Följande resurs kan användas som lektionsplanering för introduktion av ellära. Materialet kan användas för läraren eller som genomgång i klassen. Materialet består av en kort genomgång av grundläggande begrepp och symboler, elektriska kretsar samt övningar som kan anpassas efter elevernas förkunskaper genom att använda ett digitalt simuleringsprogram.

Följande resurs kan användas som lektionsplanering för introduktion av ellära. Materialet kan användas för läraren eller som genomgång i klassen. Materialet består av en kort genomgång av grundläggande begrepp och symboler, elektriska kretsar samt övningar som kan anpassas efter elevernas förkunskaper genom att använda ett digitalt simuleringsprogram.

In this series of exercises, a kind of reductionist approach is used to direct the students attention to specific characteristics of a variety of ball and stick models. Through a series of leading questions, students must focus on specific relationships and must rationalize these relationships according to the fundamental principles of crystal chemistry and crystallography. In this way, students will simulate and replicate the kinds of questions we would normally ask in our professional careers as mineralogists. This approach also addresses other major recommendations from Project 2061: start with questions about nature, and concentrate on the collection and use of evidence. Other questions ask students to make connections to basic chemistry (e.g. bond types, relative strength of bonds, bond angles), determinative mineralogy (most likely place to develop cleavage), analytical techniques (e.g. preferred orientations for X-ray analysis), and so on. The final reflection questions will allow students to "discover" Pauling's Rules, a much more effective learning strategy than simple memorization of these rules (commonly with little or no understanding on the part of the students).

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What's that sound? Students participate in a Directed Listening-Thinking Activity (DLTA) using "The Tell-Tale Heart," make predictions, and respond in the form of an acrostic poem or comic strip.

The goal for this lesson is to increase student comprehension and problem-solving skills by emphasizing real-world problems and encouraging students to be proactive in solving those problems. Description of classroom, grade level, and students: This assignment is for a 10th grade English II classroom, ranging from AP to standard student populations.Prior Knowledge of Subject: Students possess a prior knowledge about tornado activity, severe thunderstorms, and earthquakes due to living in Oklahoma.Length of Lesson: Students will be allotted 10 class periods of 45 minutes in class. They are also allowed to work on this assignment outside of class, if needed.

Whether caused by acts of nature, human error or even malevolence, disasters are an increasingly costly threat. The National Science Foundation works with the Administration and other federal agencies in a coordinated effort to anticipate disasters and minimize their effects. Research projects provide information on understanding the causes and predicting natural disasters, disaster preparation in the form of stronger buildings, infrastructure and cybersecurity, and disaster response.

Watershed Awareness using Technology and Environmental Research for Sustainability (WATERS)

The WATERS project is developing and researching a student-centered, place-based, and accessible curriculum for teaching watershed concepts and water career awareness for students in the middle grades. This 10-lesson unit includes online, classroom, and field activities. Students use a professional-grade online GIS modeling resource, simulations, sensors, and other interactive resources to collect environmental data and analyze their local watershed issues. The WATERS project is paving a path to increased access to research-based, open access curricula that hold the potential to significantly increase awareness of and engagement with watershed concepts and career pathways in learners nationwide.

This material is licensed under a Creative Commons Attribution 4.0 License. The software is licensed under Simplified BSD, MIT or Apache 2.0 licenses. Please provide attribution to the Concord Consortium and the URL https://concord.org.

Discrete mathematics is applied in many areas including the physical, engineering, and increasingly, the social sciences. This online textbook, written by mathematics and information technology professors, is aimed at students of information technology, computer science, and applied mathematics. The focus is on applying discrete math techniques from the two broad component areas of discrete math, namely combinatorics or enumerative techniques, and graph theory.

This course describes discrete mathematics, which involves processes that consist of sequences of individual steps (as compared to calculus, which describes processes that change in a continuous manner). The principal topics presented in this course are logic and proof, induction and recursion, discrete probability, and finite state machines. Upon successful completion of this course, the student will be able to: Create compound statements, expressed in mathematical symbols or in English, to determine the truth or falseness of compound statements and to use the rules of inference to prove a conclusion statement from hypothesis statements by applying the rules of propositional and predicate calculus logic; Prove mathematical statements involving numbers by applying various proof methods, which are based on the rules of inference from logic; Prove the validity of sequences and series and the correctness or repeated processes by applying mathematical induction; Define and identify the terms, rules, and properties of set theory and use these as tools to support problem solving and reasoning in applications of logic, functions, number theory, sequences, counting, probability, trees and graphs, and automata; Calculate probabilities and apply counting rules; Solve recursive problems by applying knowledge of recursive sequences; Create graphs and trees to represent and help prove or disprove statements, make decisions or select from alternative choices to calculate probabilities, to document derivation steps, or to solve problems; Construct and analyze finite state automata, formal languages, and regular expressions. (Computer Science 202)

This class addresses the representation, analysis, and design of discrete time signals and systems. The major concepts covered include: Discrete-time processing of continuous-time signals; decimation, interpolation, and sampling rate conversion; flowgraph structures for DT systems; time-and frequency-domain design techniques for recursive (IIR) and non-recursive (FIR) filters; linear prediction; discrete Fourier transform, FFT algorithm; short-time Fourier analysis and filter banks; multirate techniques; Hilbert transforms; Cepstral analysis and various applications.
Acknowledgements
I would like to express my thanks to Thomas Baran, Myung Jin Choi, and Xiaomeng Shi for compiling the lecture notes on this site from my individual lectures and handouts and their class notes during the semesters that they were students in the course. These lecture notes, the text book and included problem sets and solutions will hopefully be helpful as you learn and explore the topic of Discrete-Time Signal Processing.

Students demonstrate the erythrocyte sedimentation rate test (ESR test) using a blood model composed of tomato juice, petroleum jelly and olive oil. They simulate different disease conditions, including rheumatoid arthritis, anemia, leukocytosis and sickle-cell anemia, by making appropriate variations in the particle as well as in the fluid matrix. Students measure the ESR for each sample blood model, correlate the ESR values with disease conditions and confirm that diseases alter blood composition and properties. During the activity, students learn that when non-coagulated blood is let to stand in a tube, the red blood cells separate and fall to the bottom of the tube, resulting in a sediment and a clear liquid called serum. The height in millimeters of the clear liquid on top of the sediment in a time period of one hour is taken as the sedimentation rate. If a disease is present, this ESR value deviates from the normal, disease-free value. Different diseases cause different ESR values because blood composition and properties, such as density and viscosity, are altered differently by different diseases. Thus, the ESR test serves as a real-world diagnostic screening test to identify indications of the presence of any diseases in people.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Though tiny, microorganisms and their interactions play a big role in how ecosystems operate. But despite abundant data, these interactions remain largely a mystery. Now, a computational tool called EnDED could help scientists identify key associations, and, more importantly, eliminate false associations that could provoke misleading interpretations of data. EnDED, short for Environmentally Driven Edge Detection, predicts indirect edges, which are simply environmentally driven. For example, different kinds of microorganisms can coincide in certain areas and seasons, but it’s likely an environmental factor (like temperature) that brings them together and not a causal relationship. EnDED uses up to four algorithms to prune misleading connections due solely to environmental factors. EnDED uses up to four algorithms to prune misleading connections due solely to environmental factors. EnDED uses up to four algorithms to prune misleading connections due solely to environmental factors..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Biodiversity keeps our planet stable. Each species, no matter how small, plays an important role in this global balancing act. That’s why the current pace of biodiversity loss is so alarming. Unfortunately, slowing that pace is extremely difficult. Scientists must first take on the virtually impossible task of measuring the richness and variety of all life on earth—the tools for which are prone to error. Now, researchers have applied a technique that promises estimates that more closely reflect true biodiversity. Proven insightful for stony coral species found throughout the world, the approach could potentially be extended to other animals and plants. Researchers typically use two types of methods to measure biodiversity: by consulting occurrence datasets, which describe points where species have been physically counted, or by combining maps describing geographical ranges where a species is predicted to occur. Each has its own drawbacks. Occurrence datasets tend to be incomplete..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

IDS.900 Doctoral Seminar in Engineering Systems examines the core theory and contextual applications of the emerging field of Engineering Systems. There is a focus on doctoral–level analysis of scholarship on key concepts such as complexity, uncertainty, fragility, and robustness, as well as a critical look at the historical roots of the field and related areas such as systems engineering, systems dynamics, agent modeling, and systems simulations. Contextual applications of the course range from aerospace to technology implementation to regulatory systems to large–scale systems change. Special attention is given to the interdependence of social and technical dimensions of engineering systems.

This lab introduces basic chemistry concepts in molecular interactions, measurements, prediction, and critical thinking.

Students gain an understanding of the factors that affect wind turbine operation. Following the steps of the engineering design process, engineering teams use simple materials (cardboard and wooden dowels) to build and test their own turbine blade prototypes with the objective of maximizing electrical power output for a hypothetical situation—helping scientists power their electrical devices while doing research on a remote island. Teams explore how blade size, shape, weight and rotation interact to achieve maximal performance, and relate the power generated to energy consumed on a scale that is relevant to them in daily life. A PowerPoint® presentation, worksheet and post-activity test are provided.

Students will learn the potential costs and benefits of social media, digital consumption, and our relationship with technology as a society in the three-week lesson. This inquiry based unit of study will answer the following questions:

Essential Question: How can we use science fiction’s ability to predict the future to help humanity?

Supportive Questions 1: What predictions of future development has science fiction accurately made in the past? This can include technology, privacy, medicine, social justice, political, environmental, education, and economic.

Supportive Question 2: What predictions for future development in contemporary science fiction are positive for the future of humanity? What factors need to begin in your lifetime to make these predictions reality?

Supportive Question 3: What predictions for future development in contemporary science fiction are negative for the future of humanity? What factors need to begin in your lifetime to stop these negative outcomes?