Fundamentals of environmental sampling and analysis free download pdf

Effects of pollutants on human beings, plants, animals, materials and climate. Acid Rain. Air Quality Standards. Water: Types, sources and consequences of water pollution. Physicochemical and Bacteriological sampling and analysis of water quality. Standards, sewage and wastewater treatment and recycling. Water quality standard.

Soil: Physicochemical as bacteriological sampling as analysis of soil quality. Soil Pollution Control. Industrial waste effluents and heavy metals, their interactions with soil components.

Soil microorganisms and their functions, degradation of different insecticides, fungicides and weedicides in soil. Noise: Sources of noise pollution, measurement of noise and Indices, the effect of meteorological parameters on noise propagation. Noise exposure levels and standards. Noise control and abatement measures. Impact of noise on human health.

Marine: Sources of marine pollution and control. Criteria employed for disposal of pollutants in marine system-coastal management. Radioactive and Thermal Pollution. Impact Assessment Methodologies. A generalized approach to impact analysis. Procedure for reviewing Environmental impact analysis and statement. Guidelines for Environmental audit. Introduction to Environmental planning. Baseline information and predictions land, water, atmosphere, energy, etc.

Restoration and rehabilitation technologies. Land Use policy for India. Urban planning for India. Rural planning and land use pattern. Concept and strategies of sustainable development. Cost-Benefit Analysis. Environmental priorities in India and sustainable development.

Sources and generation of solid wastes, their characterization, chemical composition and classification. Different methods of disposal and management of solid wastes Hospital Wastes and Hazardous Wastes Recycling of waste material.

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Spilker Test Bank. Shane Instructor's Manual. Shane Test Bank. Devlin 7 Test Bank. Monroe, Reed Wicander 6 Instructor Manual. Monroe, Reed Wicander 6 Test Bank. Mishkin 2 Solution Manual. Its primary objective is to advance your understanding of how financial reporting can be used in a variety of decisions e. It is applied in nature and stresses the use of actual financial statements. Throughout the course, I draw heavily on real business examples and use cases to illustrate the application of the techniques and tools.

Topics include traditional ratio analysis techniques, accounting analysis i. The second part of the course focuses on equity valuation, e. While students with a multitude of interests will benefit from this course, students with an interest in investment banking, equity or credit analysis, consulting, strategy, corporate finance, or management will find this course particularly relevant.

This course is intended for students who are interested in starting new entrepreneurial businesses. It is tactical, hands-on, and covers the nuts and bolts of starting a company with a lesser emphasis on investing in entrepreneurial ventures.

Students will learn how to raise seed funding, compensate for limited human and financial resources, establish brand values and positioning, secure a strong niche position, determine appropriate sourcing and sales channels, and develop execution plans in sales, marketing, product development and operations.

The emphasis is managerial and entrepreneurial, essentially a working model for starting an enterprise. This class is executed through a combination of lectures, group assignments based on student's new venture ideas, case discussions, VC and entrepreneur guest lectures and panels, and ultimately ties together in a pitch at the end of the quarter to a panel of VC observers.

This course is designed to guide groups of students through the new venture creation process. Students will have passed through the first round of the College New Venture Challenge, and will be developing their own original new business ideas. Students may enter the course with ideas that are traditionally for-profit in nature or more socially oriented either for- or not-for-profit ventures.

Students must prepare and submit original feasibility summaries prior to the application deadline. During the course, students will expand these summaries into full business plans, and will be required to present their ventures multiple times to venture capital investors, entrepreneurs, and startup mentors.

Students interested in careers in: startups, technology, business, consulting, and management are encouraged to take this course. Enrollment by permission based on the feasibility summary application. This course is not open to MBA students. Consent only: Students will have passed through the first round of the College New Venture Challenge. Social Entrepreneurship and Innovation. We will study social innovation with a focus on the role of social entrepreneurship for implementing innovative solutions to society's problems.

A team of 4 students will be assigned with an innovative idea that addresses a social problem and could become a for-profit or non-profit social venture.

Students will provide their preferences for assignment from a list of preselected ideas. Teams will essentially develop a business idea around this innovation. To achieve this, students will research the relevant literature, conduct customer discovery, analyze the competitive landscape, validate and refine the offering, propose a business model, articulate a theory of change, and identify an impact management strategy.

Teams will present to the idea sponsor at the end of the quarter and in a mid-quarter check-in. The hope is that there will be sufficient validation and interest to move forward with some of these ventures with students involved in or leading the venture. Much of class time will be devoted to group exercises to implement frameworks to answer these questions for the projects as well as a set of case study examples we will use throughout the course.

In addition, there will be readings and discussions on a set of topics to provide a broader understanding of the economics of social innovation and its relationship to more traditional innovation. Grading will be based weekly project. This course offers the financial theory and quantitative tools necessary for understanding how stock, bond, and option prices are determined, and how financial assets are used for investment decisions. Topics covered include the following: the term structure of interest rates; portfolio selection based on mean-variance analysis; models of risk and return including the CAPM and multifactor models ; performance evaluation; market efficiency and the random walk hypothesis; asset pricing anomalies and behavioral finance; derivative security pricing including options, futures, forwards, and swaps ; and international investment.

This course develops, critically assesses, and applies theories of pricing derivatives. Topic discussed are: forward and futures contracts; interest rate and currency swaps; option trading strategies; binomial option pricing; the Black-Scholes-Merton option pricing model and extensions; risk management with options; empirical evidence and time-varying volatility; the pricing and hedging of corporate securities common stock, senior and junior bonds, callable bonds, warrants, convertible bonds, and putable bonds ; credit risk; and real options.

This course provides you with an understanding of major decisions made by corporate financial managers and to familiarize you with the tools used to make these decisions. The first part of the course covers methods used to value investment opportunities. Particular attention is given to discounted cash flow valuation, including the methods of weighted average cost of capital WACC and adjusted present value APV.

The second part of the course focuses on issues of corporate financial structure. The focus will be on the choice of financing through equity, debt and other types of securities and on payout policies through dividends.

Specialized topics, such as mergers and acquisitions and corporate hedging will be covered as time permits. Investments BUSN or strongly recommended. Successfully managing other people - be they competitors or co-workers - requires an understanding of their thoughts, feelings, attitudes, motivations, and determinants of behavior. Developing an accurate understanding of these factors, however, can be difficult to achieve because intuitions are often misguided and unstructured experience can be a poor teacher.

This course is intended to address this development by providing the scientific knowledge of human thought and behavior that is critical for successfully managing others, and also for successfully managing ourselves. This course is designed to make you a better decision maker. Good decision makers know how to recognize decision situations, then how to represent the essential structure of the situations, and how to analyze them with the formal tools from decision theory. But, perhaps more important, they need to be able to think effectively about the inputs into a decision analysis, whether to trust the analysis, and how to use the outputs to guide actions by themselves and their firms.

And, maybe most important of all, they need to know how to make effective, unaided intuitive decisions, and to recognize the limits on their intuitive skills. This course will move back and forth between formal, optimal models and behavioral, descriptive models to help you understand and improve your native decision making abilities. Behavioral economics applies psychological insights to economic markets and decision making. In this class, we will discuss the recent theoretical and empirical advances that have been made in this increasingly important field of economics.

Being thoughtful about the role of psychology can lead to a greater understanding of how the economy works. Get a head start on your personal leadership development journey by asking critical questions that most others wait to ask such as: What makes me a good leader? How can I improve my leadership skills?

How can I add value by creating meaning? What is my definition of leadership? This course is about the practice of leadership. We take the approach that leadership development is an ongoing process of self-discovery. The content is based on insights from the core discipline of social psychology. Students use the data of their own experience as input together with a series of written assignments and in-class activities, including discussions, films, simulations, and peer coaching.

The course enables students to engage in reflection, explore values and assess how they want to skillfully apply these lessons to their own leadership practice. No prerequisites. The business environment creates ethical choices that can be hard to think through clearly.

It can also subject companies to negative publicity or political pressure, which affects both how they are regulated and how well they attract employees, customers and partners. So business leaders are often called upon to make credible and persuasive arguments defending their products, their firms, their industries, or the capitalist system in which they operate.

Doing this effectively - in a variety of settings - is an essential aspect of business leadership, given the extensive influence of government rules, pressure groups and the media on modern business. This is especially true now, when so many people are raising questions about the role of capitalism itself.

Students in this course will gain experience forming and articulating coherent arguments about the ethics and role of business, by relating their own views to important ideas about business and capitalism and then working to ground them in clear thinking and informed ethical reasoning.

We will use this approach to consider a broad range of tradeoffs and controversies that business leaders often confront. The objective of the course is to provide an intro to marketing strategy. Numerous tools used to support the framework are also introduced. GOALS: 1. Introduce marketing strategy and elements of marketing analysis or business situation analysis: Customer analysis, Company analysis and Competitor analysis 3Cs.

Integrate elements of the framework prescriptively into real world business situations. Provide exposure to business case analysis and critical thinking common in case-based business classes. Remainder of class is dedicated to the discussion of several business examples which will highlight and practically demonstrate the theories, concepts, analytical techniques and empirical findings useful in marketing management in slide decks on Canvas.

Study groups of students will work on exercises and brief in-class presentations using tools from lectures. Students will also write-up typically pages several cases individually using a format provided in class.

Content includes some light quantitative work. Students will learn how to coordinate pricing decisions with the rest of the marketing value proposition. Numerous pricing structures are developed in the course, along with their microeconomic foundations. Students will learn the underlying theory for each pricing structure, along with the practical considerations for implementation. Marketing decisions in the era of big data are increasingly based on a statistical analysis of large amounts of transaction and customer data that provides the basis for profitability and ROI predictions.

The goal of this class is to introduce modern data-driven marketing techniques and train the students as data scientists who can analyze data and make marketing decisions using some of the state-of-the-art tools that are employed in the industry. We will cover a wide range of topics, including demand modeling, the analysis of household-level data, customer relationship management CRM and database marketing, and elements of digital marketing.

The focus throughout is on predicting the impact of marketing decisions, including pricing, advertising, and customer targeting, on customer profitability and the return on investment ROI from a customer interaction.

Previous stats background helpful. This core course focuses on understanding levers for structuring, managing, and improving a firm's recurring business processes to achieve competitive advantage in customer responsiveness, price, quality, and variety of products and services.

These levers are broadly applicable to service firms, for example banks, hospitals, and airlines, as well as to traditional product-based firms. Processes within firms, as well as between firms, i. The fundamental principles underlying state- of-the-art practices, such as Lean, Mass Customization, and Time-Based Competition, are explored so that students learn to critically evaluate these and other operational improvement programs. Students learn the basics of how to manage the operations of a firm, and how operations issues affect and are affected by the many business decisions they will be called upon to make or recommend in their careers.

As such, this course is essential to students aspiring to become consultants, entrepreneurs, or general managers. A working knowledge of operations is also indispensable to those interested in marketing, finance, and accounting, where the interface between these functions and operations is critical.

Finally, an understanding of how firms become market leaders through operations is important in investment careers. This course is designed to sharpen students' analytical skills and elucidate quantitative modeling as an aid in managerial decision-making. The course teaches various ways to frame, set up and solve managerial questions about resource allocation, revenue management, finance, marketing, operations and risk analysis using Microsoft Excel, as well as various tools and add-ins.

The course will introduce various modeling frameworks and analytical tools in optimization and simulation. Students in this course will become proficient in formulating relevant managerial questions in the language of optimization and simulation modeling, as well as in solving the resulting problems using the frameworks covered in the course and interpreting the results.

The course involves hands-on active learning through in-class cases and examples, homework and term project which applies the tools and modeling frameworks learned in the course to a business problem.

The supply chain of a firm is critical to its performance. Supply chains are networks of organizations that supply and transform materials and distribute final products to consumers. If designed and managed properly, these networks can be a crucial source of competitive advantage for both manufacturing and service enterprises. Students will learn how to examine and improve the flow of materials and information through this network of suppliers, manufacturers, distributors, and retailers in order to match supply with demand i.

Key topics include inter- and intra-firm coordination, incentive design, the impact of uncertainty, and the role of information technology. Special emphasis is given to understanding how the business context shapes managerial decisions regarding the strategic design and management of the supply chain.

Big Data is a course about data mining: the analysis, exploration, and simplification of large high-dimensional datasets. Techniques covered include an advanced overview of linear and logistic regression, model choice and false discovery rates, multinomial and binary regression, classification, decision trees, factor models, clustering, the bootstrap and cross-validation.

We learn both basic underlying concepts and practical computational skills, including techniques for analysis of distributed data. Heavy emphasis is placed on analysis of actual datasets, and on development of application specific methodology. Among other examples, we will consider consumer database mining, internet and social media tracking, network analysis, and text mining.

Students will learn about state-of-the-art machine learning techniques and how to apply them in business related problems. Techniques will be introduced in the context of business applications and the emphasis will be put on how machine learning can be used to create value and provide insights from data.

First, and the biggest, part of the class will focus on predictive analytics. Students will learn about decision trees, nearest neighbor classifiers, boosting, random forests, deep neural networks, naive Bayes and support vector machines.

Among other examples, we will apply these techniques to detecting spam in email, click-through rate prediction in online advertisement, image classification, face recognition, sentiment analysis and churn prediction.

Students will learn what techniques to apply and why. In the second part of the class, students will learn about unsupervised techniques for extracting actionable patterns from data. Examples include clustering, collaborative filtering, probabilistic graphical modelling and dimension reduction with applications to customer segmentation, recommender systems, graph and time series mining, and anomaly detection.

This course covers a variety of topics in financial econometrics. The topics covered are of real- world, practical interest and are closely linked to material covered in other advance finance courses. Topics covered include ARMA models, volatility models GARCH , factor models, models for time varying correlations, analysis of panel data, cointegration models for long-run co-movement between prices and models for transactions data and the analysis of transactions cost.

International Financial Policy. This course will help students develop an understanding of issues in international macroeconomics that are important for investors and managers operating in the global marketplace.

It will cover theories of the determination of exchange rates and interest rates, the management of foreign exchange risk, international capital flows, debt and currency crises, international monetary and exchange rate regimes, the roles of the international financial institutions in developing countries, and other characteristics of international financial markets.

Economics in a Globalized World. International trade has always been economically controversial and politically contentious. This course demystifies some of the complex issues that surround discussions of globalization. It asks such questions as: Why do countries engage in trade? Are countries in competition with one another, making one a winner and another a loser, or is trade mutually beneficial?

Who gains and who loses from international trade within a country? Should high-wage countries be worried about competition from low-wage countries? Is international trade the main cause of increasing U.

How do global supply chains affect firms and workers? How is the burden of import tariffs divided in the economy? Do international trade agreements create jobs or destroy jobs? What is the impact of a trade war on the global economy? This course examines these questions and much more. There are no strict prerequisites, but I assume familiarity with concepts of microeconomics.

Prerequisite s : There are no strict prerequisites, but I assume familiarity with concepts of microeconomics. The course applies microeconomics including elements of price theory, game theory, and industrial organization to analyze decisions firms face in business environments.

There will be specific focus on strategic decisions and the factors that influence firms' competitive advantages. Class time will be devoted to lectures and case discussions. Topics covered include sources of competitive advantage, scope of the firm, efficient performance, pricing, entry and exit, vertical structure, and network externalities. The University of Chicago. Economics Toggle Navigation.

Search Catalog. BA in Economics: Standard Track Track A and Track B The program in economics can be divided into five component parts: Fundamentals : provides students with the basic skills required to be successful in the major. Core curriculum : consists of three courses designed to introduce students to the "economic approach.

Economic Policy course : applies the tools developed in the core curriculum to issues of fiscal policy, monetary policy, and other policy discussions relevant to the current state of the economy. Electives : allows students to tailor the economics major to their interests. Program Requirements, Standard Track Track A and Track B Fundamentals Students must begin the economics major by demonstrating competence in basic calculus and principles of economics.

Calculus Students who have an interest in the major should take calculus at the highest level for which they qualify. Core Curriculum The core curriculum consists of three courses. MATH STAT CMSC Principles of Microeconomics. Principles of Macroeconomics. Introductory Game Theory. Introduction to Econometrics.

Pathways in Economics. Terms Offered: Summer. Pathways in Economics C. A Survey of Chicago Economics. Econometrics - Honors. Econometrics II-Honors.

Applied Microeconometrics. Time Series Econometrics. Applied Behavioral Economics. Experimental Economics. Social Neuroscience. Money and Banking. Topics in Macroeconomics. Economic Growth. Economic Policy Analysis. Labor Economics. Introduction To Finance. Public Finance. The Economics of Socialism. Public Sector Economics. International Economics. Industrial Organization.

The Economics of Sports. Economic Analysis of Law. Crony Capitalism. The Economics of Crime. Prerequisite s : Consent of directors of the undergraduate program Instructor s : J. For details, see the preceding Honors section.

The Theory of Market Design. Decision and Strategy. Decision and Strategy II. Theory of Auctions. Topics in Microeconometrics. Big Data Tools in Economics. Macroeconomic Crises. Economics of Education. Application Development. Financial Accounting. Managerial Accounting. Financial Statement Analysis.

Methods of test for soils, Part 9: Determination of dry density- moisture content relation by constant mass of soil method. Methods of test for soils, Part Determination of unconfined compressive strength. Methods of test for soils, Part Determination of the shear strength parameters of a specimen tested in unconsolidated undrained triaxial compression without the measurement of pore water pressure. Methods of test for soils, Part Determination of shear strength parameters of soil from consolidated undrained triaxial compression test with measurement of pore water pressure.

Methods of test for soils, Part Determination of density index relative density of cohesionless soils. Methods of test for soils, Part Laboratory determination of permeability. Methods of test for soils, Part Determination of field moisture equivalent. Methods of test for soils, Part Determination of centrifuge moisture equivalent.

Methods of test for soils, Part Determination of linear shrinkage. Methods of test for soils, Part Determination of organic matter. Methods of test for soils, Part Determination of calcium carbonate.

Methods of test for soils, Part Determination silica sesquioxide ratio. Method of test for soils, Part Determination of pH value. Methods of test for soils, Part Determination of total soluble sulphates.

Methods of test for soils, Part Determination of dry density of soils, in-place, by the sand replacement method. Methods of test for soils, Part Laboratory vane shear test. Methods of test for soils, Part Determination of the density in-place by the ring and water replacement method. Methods of test for soils, Part Determination of density of soil in-place by rubber-balloon method. Methods of test for soils, Part Measurement of negative pore water pressure. Methods of test for soils, Part Laboratory determination of permeability of granular soils Constant head.

Methods of test for soils, Part Determination of sand equivalent values of soils and fine aggregates. Methods of test for soils, Part Compaction control test Hilf method. IS Methods of test for soils, Part Direct shear test for soils containing gravel, Section 1: Laboratory test. IS Methods of test for soils, Part Direct shear test for soils containing gravel, Section 2: In-situ shear test. Methods of test for soils, Part Determination of free swell index of soils. Methods of test for soils, Part Measurement of swelling pressure of soils.

IS Glossary of terms and symbols relating to soil engineering. IS Glossary of terms relating to soil dynamics. IS Code of practice for design and construction of pile foundations, Part 1: Concrete piles, Section 4: Bored precast concrete piles. Code of practice for design and construction of pile foundations, Part 2: Timber piles. Code of practice for design and construction of pile foundations, Part 3: Under-reamed piles.

Code of practice for design and construction of pile foundations, Part 4: Load test on piles. Code of practice for design and construction of raft foundations, Part 1: Design. Code of practice for design and construction of machine foundations, Part 1: Foundation for reciprocating type machines. Code of practice for design and construction of machine foundations, Part 2: Foundations for impact type machines hammer foundations.

Code of practice for design and construction of machine foundations, Part 3: Foundations for rotary type machines Medium and high frequency. Code of practice for design and construction of machine foundations, Part 4: Foundations for rotary type machines of low frequency. Code of practice for design and construction of machine foundations, Part 5: Foundations for impact machines other than hammer forging and stamping press, pig breaker, drop crusher and jolter.

Code of practice for design and construction of foundations for transmission line towers and poles. Methods of test for stabilized soils, Part 1: Method of sampling and preparation of stabilized soils for testing.

Methods of test for stabilized soils, Part 2: Determination of moisture content of stabilized soil mixtures. Methods of test for stabilized soils, Part 3: Test for determination of moisture content-dry density relation for stabilized soil mixtures. Methods of test for stabilized soils, Part 4: Wetting and drying, and freezing and thawing tests for compacted soil-cement mixtures.