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CS;Human Resource Management Notes
| Institution | KASNEB |
| Course | CS |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Michael Paul |
| File Type | |
| Pages | 97 Pages |
| File Size | 1.27 MB |
| Views | 9039 |
| Downloads | 2 |
| Price: |
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Description
Human resource management (HRM) is the practice of recruiting, hiring, deploying
and managing an organization's employees.
- Human Resource Management is the process of recruiting, selecting, inducting
employees, providing orientation, imparting training and development, appraising the
performance of employees, deciding compensation and providing benefits, motivating
employees, maintaining proper relations with employees and their trade.
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SZL 2111: HIV/AIDs -Lesson 9
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General introduction: Public health and hygiene, human reproductive system, sex and sexuality. History of sexually transmitted diseases (STDs); History of Human Immunodeficiency virus/Acquired Immune deficiency Syndrome (HIV/AIDS), Comparative information on trends, global and local distribution, Justification of importance of course. Biology of HIV/AIDS; Overview
of immune system, natural immunity to HIV/AIDS. The AIDS
virus and its life cycle, disease progression, transmission and
diagnosis.
44 Pages
7370 Views
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369.34 KB
SZL 2111: HIV/AIDs - Lesson 10
Trending!
General introduction: Public health and hygiene, human reproductive system, sex and sexuality. History of sexually transmitted diseases (STDs); History of Human Immunodeficiency virus/Acquired Immune deficiency Syndrome (HIV/AIDS), Compara-
tive information on trends, global and local distribution, Justification of importance of course.
38 Pages
7454 Views
0 Downloads
339.57 KB
SMA 2104: Mathematics for Sciences - Course Outline
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This unit aims at providing a good foundation in mathematics for students who plans to do more specialized work in the university, especially in the Computing, Medicine, Engineering, etc.
3 Pages
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266.54 KB
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 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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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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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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7377 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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8043 Views
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395.57 KB