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B01: BEHAVIOUR AND BEHAVIOUR MODIFICATION
| Institution | UON |
| Course | PSYCHOLOGY |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Brian Mike |
| File Type | |
| Pages | 59 Pages |
| File Size | 1.33 MB |
| Views | 4354 |
| Downloads | 0 |
| Price: |
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Description
The course reinforces aspects of positive change in behaviour that includes attitudes and
problems as a result of misconduct. It explores ways in which behaviour may be said to be
pathological and consequently the need for desirable positive amendment in behaviour and the
ways this can be improved or brought about, as well as intervention techniques that can be used
for this purpose. The course further seeks insight and special attention to the relationships
between counsellor and client in transforming behaviour in therapy as well as general
psychology including dealing with children, adolescence, mid-life crisis and adults. The
influence of the therapist, the power of the counsellor – client relationship and their effects on
psychological management are highlighted.
Below is the document preview.
SZL 105: LABORATORY METHODS AND TECHNIQUES IN ZOOLOGY
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A laboratory is a closed or isolated environment where scientific experiments and procedures are carried out. Laboratory studies are applied in all areas of science namely. Physics, chemistry,biology, agriculture, health, environment, geology, mining among others.
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10 Downloads
681.05 KB
SST 305: Theory of Estimation Notes
The objective of statistics is to make an inference about a population based on information contained in a sample. Most statistical inference procedures involve either estimation or hypothesis testing. This course looks at estimation.
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5 Downloads
3.41 MB
SMA 335: Ordinary Differential Equation 1
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The subject of differential equations constitutes a very important and useful branch of
modern m mathematics. In this lesson we sh all consider some definition of ordinary
differential equations.
156 Pages
2415 Views
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2.32 MB
LESSON 7: REGRESSION AND CORRELATION ANALYSIS
In this lesson we will discuss regression and correlation. Correlation analysis deals with the association between two or more variables; while regression analysis attempts to establish the nature of the relationship between variables.
11 Pages
1970 Views
1 Downloads
271.03 KB
LESSON 6: SKEWNESS AND KURTOSIS
Skewness refers to lack of symmetry. A skewed distribution is a frequency distribution that is asymmetric (not symmetric). When the longer tail of a distribution extends to the right, it is said to be skewed to the right and when the longer tail of a distribution extends to the left, it said to be skewed to the left.
9 Pages
1767 Views
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257.5 KB
TISSUES
Cells are the body's smallest functional units they are grouped together to form tissues, each of which has specialized functions eg blood, muscles
105 Pages
543 Views
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9.63 MB
DIFFERENTIAL EQUATIONS OF THE FIRST ORDER
The order of a differential equation is that of the highest derivative occurring in it; the degree of a differential equation is that to which the derivative of the highest order is raised when the equation is expressed in a rational integral form.
43 Pages
1615 Views
0 Downloads
1 MB
PUBLIC FINANCE
Public finance management in kenya is covered in the constitution of kenya 2010, chapter 12 and public finance management act, 2012. this act of parliament provides effective manage ment of public finances by the national and county government; the oversight responsibility of parliament and county assemblies; the different responsibilities of government entities and other bodies and for connected purposes
1 Pages
281 Views
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2.6 MB
AGD 100: INTRODUCTION TO GENDER DEVELOPMENT STUDIES
The differences between women and men within the same households and between cultures that are socially and culturally constructed and change over time. The differences are reflected in: roles, responsibilities, access to and control over resources, constraints, opportunities, needs, perceptions, views etc, held by men and women.
46 Pages
1925 Views
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934.91 KB
DATA MINING TECHNIQUES
The paper presents application of data mining techniques to fraud analysis. We
present some classification and prediction data mining techniques which we
consider important to handle fraud detection. There exist a number of data
mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models
21 Pages
1411 Views
0 Downloads
545.18 KB