This book has been prepared for students taking Agribusiness Management 101 in The Department of Agricultural Economics, Sociology and Education at The Pennsylvania State University.

Table of Contents:

Lesson 1: Economics as Limits, Alternatives, and Choices
Chapter 1: Introduction
Chapter 1.1 - What Is Economics, and Why Is It Important?
Chapter 1.2 - Confronting Objections to the Economic Approach
Chapter 1.3 - How Individuals Make Choices Based on Their Budget Constraint

Lesson 2: The Market System
Chapter 2: Introduction
Chapter 2.1 - How To Organize Economies: An Overview of Economic Systems
Chapter 2.2 - Introducing the Market System
Chapter 2.3 - The Use of Mathematics in Principles of Economics

Lesson 3: Demand, Supply, and Market Equilibrium Chapter 3
Chapter 3: Introduction
Chapter 3.1 - Demand, Supply, and Equilibrium in Markets for Goods and Services
Chapter 3.2 - Shifts in Demand and Supply for Goods and Services
Chapter 3.3 - Changes in Equilibrium Price and Quantity: The Four-Step Process
Chapter 3.4 - Price Ceilings and Price Floors
Chapter 3.5 - Demand, Supply, and Efficiency

Lesson 4: Market Failures: Public Goods and Externalities
Chapter 4: Introduction
Chapter 4.1 - Why the Private Sector Underinvests in Innovation
Chapter 4.2 - How Governments Can Encourage Innovation
Chapter 4.3 - Public Goods

Lesson 5: Elasticity
Chapter 5: Introduction
Chapter 5.1 - Price Elasticity of Demand and Price Elasticity of Supply
Chapter 5.2 - Polar Cases of Elasticity and Constant Elasticity
Chapter 5.3 - Elasticity and Pricing
Chapter 5.4 - Elasticity in Areas Other Than Price

Lesson 6: Utility Maximization
Chapter 6: Introduction
Chapter 6.1 - Consumption Choices
Chapter 6.2 - How Changes in Income and Prices Affect Consumption Choices
Chapter 6.3 - Indifference Curves
Chapter 6.4 - Behavioral Economics: An Alternative Framework for Consumer Choice

Lesson 7: Production, Costs, and Industry Structure
Chapter 7 : Introduction
Chapter 7.1 - Explicit and Implicit Costs, and Accounting and Economic Profit
Chapter 7.2 - Production in the Short Run
Chapter 7.3 - Costs in the Short Run
Chapter 7.4 - Production in the Long Run
Chapter 7.5 - Costs in the Long Run

Lesson 8 : Pure Competition in the Short Run
Chapter 8 : Introduction
Chapter 8.1 - Perfect Competition and Why It Matters
Chapter 8.2 - How Perfectly Competitive Firms Make Output Decisions

Lesson 9 - Pure Competition in the Long Run
Chapter 9 - Introduction
Chapter 9.1 - Entry and Exit Decisions in the Long Run
Chapter 9.2 - Efficiency in Perfectly Competitive Markets

Lesson 10 - Pure Monopoly
Chapter 10 - Introduction
Chapter 10.1 - How Monopolies Form: Barriers to Entry
Chapter 10.2 - How a Profit-Maximizing Monopoly Chooses Output and Price

Lesson 11: The Demand for Resources
Chapter 11 - Introduction
Chapter 11.1 - Demand for Labor

Lesson 12 - Rent, Interest and Profit
Chapter 12 - Introduction
Chapter 12.1 - Time Value of Money

Lesson 13: Agriculture: Economics and Policy
Chapter 13 - Introduction
Chapter 13.1 - Introduction to the Agriculture Economics

Lesson 14 - International Trade
Chapter 14 - Introduction
Chapter 14.1 - Absolute and Comparative Advantage
Chapter 14.2 - What Happens When a Country Has an Absolute Advantage in All Goods
Chapter 14.3 - Intra-industry Trade between Similar Economies
Chapter 14.4 - The Benefits of Reducing Barriers to International Trade
Chapter 14.5 - Protectionism: An Indirect Subsidy from Consumers to Producers
Chapter 14.6 - International Trade and Its Effects on Jobs, Wages, and Working Conditions
Chapter 14.7 - Arguments in Support of Restricting Imports
Chapter 14.8 - How Governments Enact Trade Policy: Globally, Regionally, and Nationally
Chapter 14.9 - The Tradeoffs of Trade Policy

Introduces the various aspects of present and future Air Traffic Control systems. Descriptions of the present system: systems-analysis approach to problems of capacity and safety; surveillance, including NAS and ARTS; navigation subsystem technology; aircraft guidance and control; communications; collision avoidance systems; sequencing and spacing in terminal areas; future directions and development; critical discussion of past proposals and of probable future problem areas.

Subject addresses the architecting of air transportation systems. Focuses on the conceptual phase of product definition include technical, economic, market, environmental, regulatory, legal, manufacturing, and societal factors. Subject centers on a realistic system case study and includes a number of lectures from industry and government. Past examples included the Very Large Transport Aircraft, a Supersonic Business Jet and a Next Generation Cargo System. Subject identifies the critical system level issues and analyzes them in depth via student team projects and individual assignments. The overall goal of the semester is to produce a business plan and a system specifications document that can be used to assess candidate systems.

Brief review of applied aerodynamics and modern approaches in aircraft stability and control. Static stability and trim. Stability derivatives and characteristic longitudinal and lateral-directional motions. Physical effects of wing, fuselage, and tail on aircraft motion. Flight vehicle stabilization by classical and modern control techniques. Time and frequency domain analysis of control system performance. Human pilot models and pilot-in-the-loop control with applications. V/STOL stability, dynamics, and control during transition from hover to forward flight. Parameter sensitivity and handling quality analysis of aircraft through variable flight conditions. Brief discussion of motion at high angles-of-attack, roll coupling, and other nonlinear flight regimes.

16.885J offers an holistic view of the aircraft as a system, covering: basic systems engineering; cost and weight estimation; basic aircraft performance; safety and reliability; lifecycle topics; aircraft subsystems; risk analysis and management; and system realization. Small student teams retrospectively analyze an existing aircraft covering: key design drivers and decisions; aircraft attributes and subsystems; and operational experience. Oral and written versions of the case study are delivered. For the Fall 2005 term, the class focuses on a systems engineering analysis of the Space Shuttle. It offers study of both design and operations of the shuttle, with frequent lectures by outside experts. Students choose specific shuttle systems for detailed analysis and develop new subsystem designs using state of the art technology.

Overview of airline management decision processes, with a focus on economic issues and their relationship to operations planning models and decision support tools. Application of economic models of demand, pricing, costs, and supply to airline markets and networks. Examination of industry practice and emerging methods for fleet planning, route network design, scheduling, pricing and revenue management, with emphasis on the interactions between the components of airline management and profit objectives in competitive environments. Students participate in a competitive airline management simulation game as part of the subject requirements.

The Airplane Flying Handbook provides basic knowledge that is essential for pilots. This handbook introduces basic pilot skills and knowledge that are essential for piloting airplanes. It provides information on transition to other airplanes and the operation of various airplane systems. It is developed by the Flight Standards Service, Airman Testing Standards Branch, in cooperation with various aviation educators and industry. This handbook is developed to assist student pilots learning to fly airplanes. It is also beneficial to pilots who wish to improve their flying proficiency and aeronautical knowledge, those pilots preparing for additional certificates or ratings, and flight instructors engaged in the instruction of both student and certificated pilots. It introduces the future pilot to the realm of flight and provides information and guidance in the performance of procedures and maneuvers required for pilot certification.

Aldosterone is a steroid hormone which is secreted from the zona glomerulosa of the adrenal gland. It has a mineralocorticoid activity and is the most important regulator of plasma potassium. When plasma potassium increases, increased stimulation of aldosterone occurs directly and also as a result of the Renin-Angiotensin-Aldosterone System (RAAS). Aldosterone is also the most important regulator of sodium excretion.

This course discusses how to use algebra for a variety of everyday tasks, such as calculate change without specifying how much money is to be spent on a purchase, analyzing relationships by graphing, and describing real-world situations in business, accounting, and science.

This course is oriented toward US high school students. Its structure and materials are aligned to the US Common Core Standards. Foci include: graphing, equations and inequalities.

This undergraduate level course follows Algebra I. Topics include group representations, rings, ideals, fields, polynomial rings, modules, factorization, integers in quadratic number fields, field extensions, and Galois theory.

Algebra and Trigonometry provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra and trigonometry course. The modular approach and the richness of content ensures that the book meets the needs of a variety of courses. Algebra and Trigonometry offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they’ve learned.

Table of Contents
1 Prerequisites
2 Equations and Inequalities
3 Functions
4 Linear Functions
5 Polynomial and Rational Functions
6 Exponential and Logarithmic Functions
7 The Unit Circle: Sine and Cosine Functions
8 Periodic Functions
9 Trigonometric Identities and Equations
10 Further Applications of Trigonometry
11 Systems of Equations and Inequalities
12 Analytic Geometry
13 Sequences, Probability, and Counting Theory

Access also available here: https://openstax.org/details/books/algebra-and-trigonometry

Algebra and Trigonometry provides a comprehensive exploration of algebraic principles and meets scope and sequence requirements for a typical introductory algebra and trigonometry course. The modular approach and the richness of content ensures that the book meets the needs of a variety of courses. Algebra and Trigonometry offers a wealth of examples with detailed, conceptual explanations, building a strong foundation in the material before asking students to apply what they’ve learned.

" This is an introductory course in algebraic combinatorics. No prior knowledge of combinatorics is expected, but assumes a familiarity with linear algebra and finite groups. Topics were chosen to show the beauty and power of techniques in algebraic combinatorics. Rigorous mathematical proofs are expected."

" This course provides an introduction to the language of schemes, properties of morphisms, and sheaf cohomology. Together with 18.725 Algebraic Geometry, students gain an understanding of the basic notions and techniques of modern algebraic geometry."

In this second term of Algebraic Topology, the topics covered include fibrations, homotopy groups, the Hurewicz theorem, vector bundles, characteristic classes, cobordism, and possible further topics at the discretion of the instructor.

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.

This course aim to provide an in-depth understanding of the fundamental algorithmic techniques for design and analysis, in turn impart knowledge and practical competence in use of advanced data structures and the design and Welcome to Advanced computer Security Module. This module provides a study of high-level computer security issues in computer networks and advanced methods of data encryption. It focuses on advanced aspects of computer security, such as encryption, security practices, system security, security for authentication on the Web and password management techniques. Finally this module, students should be able to create secure network architectures adapted to the investment level and required security. Take responsibility for installation, configuration and network security maintenance.

The module aims to give IT infrastructure management skills, where the role of computer security is critical to ensure the integrity of data and the normal operation of the various systems: computer networks, servers and personal computers in the organization. The course will also explore various Information Security controls, how to handle various risk assessment in an organization and finally creating a security policy in organization.

Today, we note that the information is considered the key business of an organization / company due to its usefulness and importance, however, the issue of the company’s Information Security is a priority task for managers, because they recognize the value it has and therefore organizations must make sure that it is managed effectively. For this reason, this module is important because you will learn the methods and tools for computer security that can ensure the confidentiality of information in organizations and also learn how to protect their information and systems in a network environment.

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.

This course aim to provide an in-depth understanding of the fundamental algorithmic techniques for design and analysis, in turn impart knowledge and practical competence in use of advanced data structures and the design and analysis of algorithms.

This book aims to be an accessible introduction into the design and analysis of efficient algorithms. Throughout the book we will introduce only the most basic techniques and describe the rigorous mathematical methods needed to analyze them.

The topics covered include:

The divide and conquer technique.
The use of randomization in algorithms.
The general, but typically inefficient, backtracking technique.
Dynamic programming as an efficient optimization for some backtracking algorithms.
Greedy algorithms as an optimization of other kinds of backtracking algorithms.
Hill-climbing techniques, including network flow.

The goal of the book is to show you how you can methodically apply different techniques to your own algorithms to make them more efficient. While this book mostly highlights general techniques, some well-known algorithms are also looked at in depth. This book is written so it can be read from "cover to cover" in the length of a semester, where sections marked with a * may be skipped.

This course focuses on the fundamentals of computer algorithms, emphasizing methods useful in practice. Upon successful completion of this course, the student will be able to: explain and identify the importance of algorithms in modern computing systems and their place as a technology in the computing industry; indentify algorithms as a pseudo-code to solve some common problems; describe asymptotic notations for bounding algorithm running times from above and below; explain methods for solving recurrences useful in describing running times of recursive algorithms; explain the use of Master Theorem in describing running times of recursive algorithms; describe the divide-and-conquer recursive technique for solving a class of problems; describe sorting algorithms and their runtime complexity analysis; describe the dynamic programming technique for solving a class of problems; describe greedy algorithms and their applications; describe concepts in graph theory, graph-based algorithms, and their analysis; describe tree-based algorithms and their analysis; explain the classification of difficult computer science problems as belonging to P, NP, and NP-hard classes. (Computer Science 303)