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 data-set, 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 mid-range 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
|
|
4
|
Biconditional operator.
|
Quiz No. 1
Quiz No. 2
|
11
|
Relations and Functions.
|
Quiz No. 3
|
15
|
Applications of Basic Mathematics.
|
|
16
|
Applications: Basic Mathematics
|
Mid Semester Examination
|
17
|
Applications of Basic Mathematics
|
|
18
|
Applications :Basic Mathematic
|
|
21
|
Ratios and Proportions
|
|
22
|
Introduction to Statistics
|
Quiz No. 4
|
24
|
The Central Tendency of a data-set
|
|
25
|
Median, Empirical Relation, Quartiles
|
|
26
|
Geometric mean, Harmonic mean & relationship between them
|
Quiz No. 5
|
27
|
Measures of Dispersion
|
|
28
|
Mean Deviation, Standard Deviation and Variance & Coefficient of variation
|
|
29
|
Permutations, Combinations
|
|
30
|
Definitions of Probability
|
|
31
|
Relative Frequency, Axiomatic Definition & Laws of Probability
|
|
32
|
Independent and Dependent Events, Multiplication Theorem & Marginal Probability
|
Final Semester Examination
|
|
|