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CPY 101: INTRODUCTION TO PSYCHOLOGY
| Institution | UON |
| Course | HUMANITIES |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Brian Mike |
| File Type | |
| Pages | 110 Pages |
| File Size | 2.53 MB |
| Views | 2829 |
| Downloads | 5 |
| Price: |
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Description
In this lecture the focus will be to learn about the evolution of psychology from a
philosophical discipline to a scientific one. We will find out and learn about different
schools of psychology and the modern perspectives of psychology – different approaches
that modern psychologists use to explain human nature. Psychology has evolved into a
discipline that can be treated from both basic and applied perspective. As a scientific discipline we will learn about modern research methodologies that scientific psychologists use to study human and animal behaviour. The significance of ethical issues will also be
addressed.
Below is the document preview.
SMA 2104: Mathematics for Sciences - Lesson 1 Quadratic equations
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Upon completing this topic, you should be able to: Solve quadratic equations by factoring Learning outcomes Solve quadratic equations using the method of extraction of roots Determine the nature of the solutions to a quadratic equation Understand the logic underlying the method of completing Solve a quadratic equation using the method of completing
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367.62 KB
SMA 2104 - MATHEMATICS FOR SCIENCE - Lesson 1B
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By the end of this topic you should be able to; Understand the laws of indices and their application in Learning outcomes simplifying algebraic expressions. Define index, Establish the laws of indices, Solve simple problems using the laws of indices, Understand the theory of logarithms and surds and their applications in manipulating expressions.
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344.76 KB
SMA 2104: Mathematics for Sciences - Lesson 2 Algebra
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By the end of this topic you should be able to; Understand the laws of indices and their application in simplifying algebraic expressions. Define index, Establish the laws of indices, Solve simple problems using the laws of indices. Understand the theory of logarithms and surds and their applications in manipulating expressions. Define logarithm
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3533 Views
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344.76 KB
SMA 2104: Mathematics for Sciences - Lesson 3 Sequences and series
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Upon completing this topic, you should be able to:
Differentiate between a series and a sequence, Use Sigma notation in representing a series, Understand the properties of arithmetic and geometric progressions, Define an Arithmetic progression (A.P.), Obtain the formula for nth term and the first n terms of an A.P, Define a geometric progression (G.P.)
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325.42 KB
SMA 2104: Mathematics for Sciences - Lesson 4 Factorisable polynomials
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Upon completing this topic, you should be able to factorise and solve polynomials of degree higher than 2
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277.4 KB
SMA 2104: Mathematics for Sciences - Lesson 5 Permutations and Combination
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Permutations and Combination
Permutations - This is defined as the number of different ways of arranging different objects in order.
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3239 Views
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273.38 KB
SMA 2104: Mathematics for Sciences - Lesson 6 Binomial expansion
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Upon completing this topic you should be able to understand the binomial theorem and it’s application in the expansion of expressions and in approximations.
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3049 Views
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282.79 KB
SMA 2104: Mathematics for Sciences - Lesson 7 Probability
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Upon completing this topic,you should be able to;- Apply the principles of probability to solve problems in real-world contexts. Understand and use the language of probability and to compute the probabilities of composite events using the basic rules of probability.
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3421 Views
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395.57 KB
SBC100: STRUCTURE OF BIOMOLECULES
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They are well descritive
30 Pages
3460 Views
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2.65 MB
SMA 2104: Mathematics for Sciences - Lesson 8 Statistics
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Upon completing this topic,you should be able to Collect, organize, and represent data, and be able to recognize and describe relationships. Apply the principles of statistics to solve problems in real world contexts. Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Understand and use the basic measure of central tendency
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282.84 KB