Course Overview

Course Synopsis

The following topics are the focus of this course
Laws of Logic, Sets, Relations and Functions, Sequences, Series, Matrices, Introduction to Statistics, Data Representation, The Central Tendency of a dataset, Measures of Dispersion, Probability Theory

Course Learning Outcomes

At the end of the course, you should be able to :
 Write the converse, contra positive and negation of a statement.
 Determine whether a relation is reflexive, symmetric or transitive.
 Define sets and operations on sets.
 Write relations and their properties
 Define functions
 Apply techniques learned in algebra combined with basic concepts of statistics including collecting data, displaying data.
 Find the mean, median, mode and midrange of a set of data and compute variance and standard deviation.
 Find measures of variation.
 Calculate elementary probabilities.
 Apply the rules of probability in context and compute expected values

Course Calendar

Introduction  1  Handouts  37  Truth Tables  2  Handouts  810  Laws of Logic  3  Handouts  1116  Biconditional operator  4  Handouts  1720  Arguments  5  Handouts  2122  Sets  6,7  Handouts  2336  Relation  8,9,10  Handouts  3758  Functions  11,12  Handouts  5979  Sequences  13  Handouts  8084  Series  14  Handouts  8692  Applications of Basic Mathematics  15,16  Handouts  93110  Simple and copmpound interest, annuity  17,18  Handouts  111127  Matrices  19  Handouts  128130  Operation on Matrices  20  Handouts  131136  Ratios and Proportions  21  Handouts  137141  Introduction to Statistics  22  Handouts  142147  Data Representation  23  Handouts  148156  The Central Tendency of a dataset  24  Handouts  157169  Median, Empirical Relation, Quartiles  25  Handouts  170179  Geometric mean, Harmonic mean & relationship between them  26  Handouts  180186  Measures of Dispersion  27  Handouts  187193  Mean Deviation, Standard Deviation and Variance & Coefficient of variation  28  Handouts  194202  Permutations, Combinations  29  Handouts  203210  Definitions of Probability  30  Handouts  211214  Relative Frequency, Axiomatic Definition & Laws of Probability  31  Handouts  215220  Independent and Dependent Events, Multiplication Theorem & Marginal Probability  32  Handouts  221226 



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