Department Requirements: (27 credit hours required)

(SC 103) Introduction to Statistics

Descriptive Statistics, Probability and Random Variables, Probability Distributions, Introduction to Sampling Theory,  induction to Estimation theory , Testing Hypotheses, Regression and Correlation.

(GE 112) Computer Programming

See the College of Engineering and Technology

(SC 211) Calculus III

Vectors, Vector valued Functions, Functions of several variables, Partial Derivatives, Multiple Integrals and its Applications.

(SC 212) Differential Equations 

First Order Differential Equations, The Existence and Uniqueness Theorem, Differential Equations of Higher Order,   Laplace Transform and its Use in Solving Differential Equations, Power Series Solution of Differential Equations.

(SC 215) Probability Theory I

Axioms of Probability,  Conditional Probability, Bayes Theorem, Random  Variables, Independence of Random  Variables,  The Moment Generating Function,  Conditional Expectation, Discrete and Continuous Probability Distribution for one or More Random Variables, Order Statistics, Slutzky's Theorem, Central Limit Theorem.

(SC 104) Statistics lab 1

Experiments: to describe the data by graphs and frequency tables, to calculate measures of central tendency and variability and relative frequency, and about probability distributions, generating random number, analyzing  linear regression, calculating correlation coefficient.

Note: one or more of the software packages: SPSS, Minitab, Mat lab can be used

Statistics Lab 2

Experiments about: Confidence interval, Tests of statistical hypothesis Nonparametric analysis, Simple and multiple regression, Logistic regression, Matrix operation.

Note: one or more of the software packages: SPSS, Minitab, Mat lab can be used

Statistics Lab 3

Experiments about: Analysis of variance, Nonparametric analysis, Analysis of covariance.

Note: one or more of the software packages: SPSS, Minitab, Mat lab can be used

(SC 201) Set Theory

Logic, Methods of  Proof,  Intuitive Set Theory, Relations, Functions, Order Relations, Finite Sets, Infinite Sets, Countable and Uncountable Sets, Cardinal Numbers.

(CS 211) Data Structure

The course seeks to acquaint students with some introductory data structures and programming techniques. Topic areas include addressing, stacks, queues, double- ended and circular queues, linked lists, pointer variable, recursion, binary trees, and sorting and searching algorithms.

(SC 213) Linear Algebra  

Linear Equations, Matrices and Determinants, Vectors in Rⁿ, Vector Spaces and Vector Subspaces, Linear Transformations, Eigen Values and Eigen Vectors.