" This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science."

General James Clapper, former United States Director of National Intelligence and the National Geospatial-Intelligence Agency (NGA), once said \everything happens somewhere.\" He stressed that there are aspects of time and place to every intelligence problem. In this course, you will examine how time and place work with general intelligence techniques to create geospatial intelligence. You will learn and apply critical thinking skills, structured analytical techniques, and other intelligence methods in a geospatial context. You'll also learn how to reduce personal and organizational bias by conducting an Analysis of Competing Hypotheses, by R. Heuer, a 45-year veteran of the CIA. As a result, you will be better prepared for the world of geospatial intelligence analysis."

A comprehensive treatment of the advanced methods of applied mathematics. Designed to strengthen the mathematical abilities of graduate students and train them to think on their own. Review of elementary methods in complex analysis, ordinary differential equations, and partial differential equations. Expansions around regular and irregular singular points; asymptotic evaluation of integrals, regular perturbations; WKB method; multiple scale method; boundary-layer techniques.

Reviews selected issues including learning, cognition, perception, foraging and feeding, migration and navigation, defense, and social activities including conflict, collaboration, courtship and reproduction, and communication. The interacting contributions of environment and heredity are examined and the approaches of psychology, ethology, and ecology to this area of study are treated. The relation of human behavior patterns to those of nonhuman animals is explored. Additional readings and a paper are required for graduate credit.

This course will present advanced topics in Artificial Intelligence (AI), including inquiries into logic, artificial neural network and machine learning, and the Turing machine. Upon successful completion of this course, students will be able to: define the term 'intelligent agent,' list major problems in AI, and identify the major approaches to AI; translate problems into graphs and encode the procedures that search the solutions with the graph data structures; explain the differences between various types of logic and basic statistical tools used in AI; list the different types of learning algorithms and explain why they are different; list the most common methods of statistical learning and classification and explain the basic differences between them; describe the components of Turing machine; name the most important propositions in the philosophy of AI; list the major issues pertaining to the creation of machine consciousness; design a reasonable software agent with java code. (Computer Science 408)

Mayer, Warner, Siedel and Lieberman's Advanced Business Law and the Legal Environment is an up-to-date textbook with coverage of legal and regulatory issues that are more technical than the topics in the authors' Foundations of Business Law and the Legal Environment.

Law has different meanings as well as different functions. Philosophers have considered issues of justice and law for centuries, and several different approaches, or schools of legal thought, have emerged. In this chapter, we will look at those different meanings and approaches and will consider how social and political dynamics interact with the ideas that animate the various schools of legal thought. We will also look at typical sources of “positive law” in the United States and how some of those sources have priority over others, and we will set out some basic differences between the US legal system and other legal systems.

Table of Contents
Chapter 1: Introduction to Law and Legal Systems
Chapter 2: Corporate Social Responsibility and Business Ethics
Chapter 3: Courts and the Legal Process
Chapter 4: Constitutional Law and US Commerce
Chapter 5: Administrative Law
Chapter 6: Criminal Law
Chapter 7: Introduction to Tort Law
Chapter 8: Introduction to Sales and Leases
Chapter 9: Title and Risk of Loss
Chapter 10: Performance and Remedies
Chapter 11: Products Liability
Chapter 12: Bailments and the Storage, Shipment, and Leasing of Goods
Chapter 13: Nature and Form of Commercial Paper
Chapter 14: Negotiation of Commercial Paper
Chapter 15: Holder in Due Course and Defenses
Chapter 16: Liability and Discharge
Chapter 17: Legal Aspects of Banking
Chapter 18: Consumer Credit Transactions
Chapter 19: Secured Transactions and Suretyship
Chapter 20: Mortgages and Nonconsensual Liens
Chapter 21: Bankruptcy
Chapter 22: Introduction to Property: Personal Property and Fixtures
Chapter 23: Intellectual Property
Chapter 24: The Nature and Regulation of Real Estate and the Environment
Chapter 25: The Transfer of Real Estate by Sale
Chapter 26: Landlord and Tenant Law
Chapter 27: Estate Planning: Wills, Estates, and Trusts
Chapter 28: Insurance

Following a brief classroom discussion of relevant principles, each student completes the paper design of several advanced circuits such as multiplexers, sample-and-holds, gain-controlled amplifiers, analog multipliers, digital-to-analog or analog-to-digital converters, and power amplifiers. One of each student's designs is presented to the class, and one may be built and evaluated. Associated laboratory emphasizing the use of modern analog building blocks. Alternate years.

This book has been created to provide a framework for building your skills in writing and critical thinking. It provides access to published samples from professional authors along with essay drafts from ESL students who have polished their skills in their respective writing courses.

The themes in the readings will give you a variety of topics to discuss with your classmates, which may inspire your own deeper thinking and writing. Overall, we hope that as you proceed through these chapters, you will build confidence and develop your voice in the classroom and beyond.

Available here as a PDF for printing: https://asccc-oeri.org/wp-content/uploads/2020/06/Advanced-Community-College-ESL-Composition-An-Integrated-Skills-Approach.pdf

This text is a transformation of Successful College Composition an OER text originally published in 2015 and intended for use in a course that is one level below English composition.

I. The Writing Process
II. Sentence Structure
III. Literary Analysis
IV. Critical Thinking and Reading

This course introduces students to Advanced Computer Organization and Architecture. Where architecture is a term used to describe the attributes of a system as seen by the programmer. Its concerned with designs and operations of a computer. Computer organization is the way the system is structured so that all those cataloged tools can be used, and that in an efficient fashion. This course has its emphasis on system design and performance.

There are both practical and theoretical reasons to study algorithms. From a practical standpoint, you have to know a standard set of important algorithms from different areas of computing; in addition, you should be able to design new algorithms and analyze their efficiency. From the theoretical standpoint, the study of algorithms, sometimes called algorithmics, has come to be as the cornerstone of computer science.

At the heart of any major system is a data storage back-end. This back-end is what is refered to as a database. Taking that a database forms the core of systems, there is every need for the data to have integrity and also available for use. Database systems when well designed will ensure the system achieves those goals. Persons with skills to develop and manage these databases are therefore vital in modern day systems. The course principals of Database Systems is needed to help provide the competencies and skills needed by entry-level systems analyst or programmers. This course is about understanding and developing application logic in databases.

This course will expand upon SQL as well as other advanced topics, including query optimization, concurrency, data warehouses, object-oriented extensions, and XML. Additional topics covered in this course will help you become more proficient in writing queries and will expand your knowledge base so that you have a better understanding of the field. Upon successful completion of this course, the student will be able to: write complex queries, including full outer joins, self-joins, sub queries, and set theoretic queries; write stored procedures and triggers; apply the principles of query optimization to a database schema; explain the various types of locking mechanisms utilized within database management systems; explain the different types of database failures as well as the methods used to recover from these failures; design queries against a distributed database management system; perform queries against database designed with object-relational extensions; develop and query XML files. (Computer Science 410)

This course will focus for a large part on MOSFET and CMOS, but also on heterojunction BJT, and photonic devices.First non-ideal characteristics of MOSFETs will be discussed, like channel-length modulation and short-channel effects. We will also pay attention to threshold voltage modification by varying the dopant concentration. Further, MOS scaling will be discussed. A combination of an n-channel and p-channel MOSFET is used for CMOS devices that form the basis for current digital technology. The operation of a CMOS inverter will be explained. We will explain in more detail how the transfer characteristics relate to the CMOS design.

In 2009, the University of Michigan Department of Emergency Medicine working with global health partners at Komfo Anokye Teaching Hospital (KATH), Kwame Nkrumah University of Science and Technology (KNUST), Ghana College of Physicians and Surgeons, and the Ghana Ministry of Health established the Ghana Emergency Medicine Collaborative. The overall goal of the collaborative is to improve the provision of emergency care in Ghana through the development of physician, nursing and medical student training programs. This NIH-Fogarty International Center funded project also explores the use of new educational modalities such as open educational resources to provide education in Ghana. ** As part of this project, a 5-day Advanced Emergency Trauma Course (AETC) was constructed utilizing curricular materials from existing U.S. based emergency medicine residencies with modification to the available resources of developing Low-Middle Income Countries (LMICs) such as Ghana. The course, which was designed by University of Michigan and University of Utah Emergency Medicine Faculty includes 20 hours of didactic teaching material in open educational resource format, low-cost simulation models for procedural training and assessment tools. Attached are the full 20 hours of didactic materials in OER format. The full course is available by contacting the course director, Patrick Carter at cartpatr@gmail.com.

Energy policy is typically evolutionary as opposed to revolutionary. We can look to historical policies to understand how we've inherited the policies governing our energy use today. But looking backward only tells us part of the story. In the face of climate change, we need to look ahead and instead envision a more revolutionary change to our energy systems and the policies that govern them. This class takes you on that journey to energy policies past, present, and future. We look at the political realities of addressing climate change at various scales of governance and work together to craft our own ideal scenarios of what a responsible energy future will be.

This course is a survey of principal concepts and methods of fluid dynamics. Topics include mass conservation, momentum, and energy equations for continua; Navier-Stokes equation for viscous flows; similarity and dimensional analysis; lubrication theory; boundary layers and separation; circulation and vorticity theorems; potential flow; introduction to turbulence; lift and drag; surface tension and surface tension driven flows.

This textbook is part of the OpenIntro Statistics series and offers complete coverage of the high school AP Statistics curriculum. Real data and plenty of inline examples and exercises make this an engaging and readable book. Links to lecture slides, video overviews, calculator tutorials, and video solutions to selected end of chapter exercises make this an ideal choice for any high school or Community College teacher. In fact, Portland Community College recently adopted this textbook for its Introductory Statistics course, and it estimates that this will save their students $250,000 per year. Find out more at: openintro.org/ahss

View our video tutorials here:
openintro.org/casio
openintro.org/TI

We hope readers will take away three ideas from this book in addition to forming a foundation
of statistical thinking and methods.

(1) Statistics is an applied field with a wide range of practical applications.
(2) You don't have to be a math guru to learn from real, interesting data.
(3) Data are messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world.
Textbook overview
The chapters of this book are as follows:

1. Data collection. Data structures, variables, and basic data collection techniques.
2. Summarizing data. Data summaries and graphics.
3. Probability. The basic principles of probability.
4. Distributions of random variables. Introduction to key distributions, and how the normal model applies to the sample mean and sample proportion.
5. Foundation for inference. General ideas for statistical inference in the context of estimating the population proportion.
6. Inference for categorical data. Inference for proportions using the normal and chisquare distributions.
7. Inference for numerical data. Inference for one or two sample means using the t distribution, and comparisons of many means using ANOVA.
8. Introduction to linear regression. An introduction to regression with two variables.
Instructions are also provided in several sections for using Casio and TI calculators.