CAPITAL BUDGETING AND CAPITAL BUDGETING TECHNIQUES

Financial Management No Comments »

Learning Objective: After going through this lecture, you would be able to have an understanding of the following concepts. Capital Budgeting Techniques of Capital Budgeting Today, we will discuss Capital Budgeting—one of the most important topics in financial management. Capital budgeting is about investment in fixed assets. In addition, another type of investment could be [...]

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PRESENT VALUE AND DISCOUNTING Learning objectives

Financial Management No Comments »

After studying this lecture, you would be able to have a better understanding of the following. • Present Value and Discounting The Topics of this lecture are covered in the chapter 6 of our text book called Financial Management theory and practice by Eugene F. Brigham & Louis C. Gapenski. Objectives of present value: The [...]

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FINANCIAL FORECASTING AND FINANCIAL PLANNING Learning Objectives

Financial Management No Comments »

After going through this lecture, you would be able to have an understanding of the following concepts. Financial Forecasting and Financial Planning. Methods of forecasting Before going into the detailed calculation of cash flow, it is important to know the principles behind financial forecasting and financial planning. Although, financial planning and forecasting cannot reduce the [...]

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TRANSFORMERS

Circuit Theory No Comments »

Transformers are not semiconductor devices, however, they play an integral role in the operations of most of power supplies. The basic schematic symbol for the transformer is as shown in figure, The transformer basically consists of two inductors, which are in close proximity to each other. However, they are not physically connected. The device consist [...]

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PROPERTIES OF THE HYPERGEOMETRIC DISTRIBUTION

Statistics and Probability 1 Comment »

PROPERTIES OF THE HYPERGEOMETRIC DISTRIBUTION The mean and the hyper geometric probability distribution are k 2kN − kN − n µ= n and σ= n , N NNN −1 If N becomes indefinitely large, the hyper geometric probability distribution tends to the BINOMIAL probability distribution. The above property will be best understood with reference to [...]

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GEOMETRIC MEAN

Statistics and Probability No Comments »

GEOMETRIC MEAN The geometric mean, G, of a set of n positive values X1, X2,…,Xn is defined as the positive nth root of their product. (Where Xi > 0) When n is large, the computation of the geometric mean becomes laborious as we have to extract the nth root of the product of all the [...]

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SOCIAL PSYCHOLOGY APPLIED: SOCIAL PSYCHOLOGY IN CLINIC:

Social Psychology No Comments »

SOCIAL PSYCHOLOGY APPLIED: SOCIAL PSYCHOLOGY IN CLINIC Aims: • To understand the use of social psychology theories and principles in clinical settings Objectives: To discuss clinician’s biases in making clinical judgments To discuss the relationship of faulty cognitions and mental and physical illness To describe social-psychological approaches to reverse the maladaptive patterns of behavior To [...]

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INTERPERSONAL ATTRACTION (CONTINUE……..) Aims:

Social Psychology No Comments »

INTERPERSONAL ATTRACTION (CONTINUE……..) Aims To introduce the concept of interpersonal attraction and related concepts Objectives • To describe the characteristics of others as important factors in interpersonal attraction. • To discuss the situations when social interaction becomes problematic Characteristics of others & attraction The following characteristics of others have been involved in interpersonal attraction: Physical [...]

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TYPES OF PROBABILITY SAMPLING

Research Methods 1 Comment »

TYPES OF PROBABILITY SAMPLING Probability samples that rely on random processes require more work than nonrandom ones. A researcher must identify specific sampling elements (e.g. persons) to include in the sample. For example, if conducting a telephone survey, the researcher needs to try to reach the specific sampled person, by calling back several times, to [...]

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Common mistakes

Software Engineering No Comments »

Common mistakes Following is short list of common mistakes made due to side-effects. 1. array[i++] = i; If i is initially 3, array[3] might be set to 3 or 4. 2. array[i++] = array[i++] = x; Due to side effects, multiple assignments become very dangerous. In this example, a whole depends upon when i is [...]

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