- Course Name: Statistics
- Course code: STAT 101
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course introduces the student to statistics with business applications. The course covers both descriptive and inferential statistics. The purpose of this course is to introduce the basic statistical methods used in Business, IT applications and other related multidisciplinary areas. Students will learn how to select and apply appropriate statistical methods to analyze data from clinical trials, and how to present, interpret and discuss the analyses clearly and concisely. By the end of this module, students should be able to apply the concepts of statistics to a business situation, the concepts of discrete and normal probability distributions, to formulate testing of hypotheses in constructing and interpreting confidence intervals, to analyze data sets using linear regression and correlation and to interpret the results obtained from analyzing data using software.
- Main topics of the course:
- Vocabulary and Graphical Displays
- Numerical Descriptive Statistics
- Probability
- Discrete Probability Distributions
- Continuous Distributions and Central Limit Theorem
- Estimation and Confidence Intervals
- Hypothesis Testing of the Parameter
- Hypothesis Testing Using Samples from Two Populations
- Correlation and Linear Regression
- Chi-Square Tests
- Analysis of Variance (ANOVA)
- Textbook: Triola, MF (2011). Elementary Statistics using the TI-83/84 Plus calculator (3rd Edition). Pearson Education. ISBN: 978-0-321-64148-9
- References: -
- Course Name: Quantitative Methods
- Course code: STAT 201
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course addresses the importance of applying quantitative methods and analysis to the solution of business problems using structured problem solving and specialized data analysis software tools. The main focus of the course is on solutions to problems of inefficiency, poor productivity, and risky situations within the management of business and technical processes, projects, and operations. Some of the methodologies covered are linear programming, PERT/CPM analysis, time series, decision tree analysis, and data mining. Upon completion of this module, students should be able to recognize various decision-making options based on probability and risk. Predict data trends based on historical or variable information. Manipulate the balance between waiting line cost and service cost. Calculate the solutions for linear programming problems. Construct various inventory controls and project management models. Use data for simulation modelling and appraise the outcomes.
- Main topics of the course :
- Introduction to Quantitative Analysis
- Decision Analysis
- Forecasting
- Regression Models
- Waiting Lines and Queuing Theory Models
- Linear Programming Models: Graphical and Computer Method
- Linear Programming Applications, Transportation and Assignment Models
- Inventory Control Models
- Project Management
- Simulation Modeling
- Textbook : Render, B., Stair, R., & Hanna, M. (2012). Quantitative Analysis for Management (11th Edition). Upper Saddle River, NJ: Prentice-Hall. ISBN: 9780132149112
- References: -
- Course Name: Discrete Mathematics
- Course code: MATH 150
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course provides the essential mathematical foundation required for computer science and related fields in discrete mathematics. It introduces students to core algebraic, logical, and combinatorial concepts, emphasizing their applications in computing. Topics include logic and Boolean algebra, sets, functions, sequences, sums, matrices, counting methods, algorithms, modular arithmetic, and graph theory. By the end of the course, students will be able to apply logical reasoning, analyze discrete structures, solve counting problems, understand modular arithmetic, and use mathematical induction and recursion effectively in problem-solving.
- Main topics of the course:
- Logic Theory – Boolean Logic & Predicate Logic
- Fundamental Structures (Sets, Functions, Sequences & Sums)
- Proof Techniques (Induction, Recursion)
- Basic Counting
- Graph Theory
- Basics of Algorithms, Growth Functions, and Complexity
- Textbook: Rosen, KH (2012). Discrete Mathematics and its Applications (7th ed.). New York, NY: McGraw Hill. ISBN: 978-0077431440
- References: -
- Course Name: Linear Algebra
- Course code: MATH 251
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course introduces the fundamental concepts and techniques of Linear Algebra, which are widely applied across engineering, computer science, and related disciplines. It focuses on solving systems of linear equations, vector operations, and matrix theory, along with applications in IT and engineering contexts. Students will study vectors, matrices, determinants, vector spaces, eigenvalues, eigenvectors, and diagonalization. The course emphasizes understanding the structure of vector spaces, linear transformations, and their practical uses. Upon completion, students will be able to solve linear systems, perform matrix operations, apply vector concepts, and analyze linear transformations and eigen-systems.
- Main topics of the course:
-
- Systems of Linear Equations and Matrices
- Determinants
- Euclidean Vector Spaces and General Vector Space
- Linear Independence, Coordinates & Basis, and Dimension
- Subspaces & their Dimensions and Matrix Transformations & Operators
- Eigenvalues and Eigenvectors
- Inner Product Spaces
- Diagonalization and Quadratic Forms
- Linear Transformations
- Numerical Methods
- Linear Programming
- Textbook: H. Anton & C. Rorres (2013). Elementary Linear Algebra (11th Edition, Middle East Edition). Hoboken, NJ: John Wiley & Sons Ltd. ISBN: 978-1-118-87876-7
- References: -
- Course Name: General Physics 1
- Course code: SCI 101
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course introduces students to the fundamental principles of physics. It covers kinematics, motion in one and two dimensions, Newton’s laws and their applications, work and energy, momentum and collisions, rotational motion, and conservation principles. It also introduces the basics of electrostatics including electric charges, forces, fields, and Coulomb’s law. The course aims to build a foundational understanding of physical quantities and enhance students’ analytical and numerical skills in applying physical concepts to solve problems in mechanics and electrostatics.
- Main topics of the course:
- Motion in one and two dimensions
- Newton’s laws of motion and their applications
- Work and energy
- Linear momentum and collisions
- Rotational motion and principles of conservation
- Electric charges, forces, and field
- Coulomb’s law
- Textbook:
-
- Raymond A. Serway & John W. Jewett Jr. (2019). Physics for Scientists and Engineers with Modern Physics (10th Edition). CENGAGE Learning. ISBN: 978-1-337-55329-2
- Douglas C. Giancoli (2015). Physics: Principles with Applications (7th Edition). Pearson Education, Inc. ISBN: 978-0-321-62592-2
- References: -
- Course Name: General Physics 2
- Course code: SCI 201
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course is a continuation of General Physics 1 and focuses on advanced principles of physics. It covers topics such as electric potential and potential energy, electric current, circuits, magnetism, thermal physics, and the laws of thermodynamics. The course also explores vibrations, waves, oscillations, pendulum motion, sound waves, electromagnetic waves, and the properties of light including reflection and refraction. It aims to strengthen students’ understanding of physical laws governing energy, electricity, and magnetism, while enhancing their problem-solving skills through theoretical and mathematical applications relevant to their specialization fields.
- Main topics of the course:
-
- Electric potential and electric potential energy
- Electric current and electric circuits
- Magnetism
- Thermal physics and energy transfer in thermal processes
- Laws of thermodynamics
- Vibrations and waves
- Periodic motion, oscillations, and pendulum motion
- Sound waves and electromagnetic waves
- The nature of light, reflection, and refraction of light
- الكتاب الدراسي: Raymond A. Serway & John W. Jewett Jr. (2019). Physics for Scientists and Engineers with Modern Physics (10th Edition). CENGAGE Learning. ISBN: 978-1-337-55329-2
- References: -
- Course Title: Introduction to Statistics and Probabilities
- Course code: STAT 202
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course introduces data science students to the fundamental concepts of statistics and probability, covering both descriptive and inferential statistics. It emphasizes statistical methods commonly used in data analysis, enabling students to apply appropriate techniques to collect, analyze, and interpret data effectively. Students will learn about probability distributions, hypothesis testing, confidence intervals, correlation, linear regression, and analysis of variance (ANOVA). By the end of the course, students will be able to perform statistical analyses and interpret their results in the context of data-driven decision-making.
- Main topics of the course:
-
- Graphical displays of data
- Measures of central location and measures of variability
- Basic probability concepts
- Binomial and normal probability distributions
- Confidence intervals
- Hypothesis testing of the mean and proportion for one or two populations
- Correlation and linear regression
- ANOVA and hypothesis tests for goodness of fit
- Textbook: Shafer, DS, & Zhang, Z. (2012). Introductory Statistics . Washington, DC: Saylor Foundation.
- Reference: Mario F. Triola (2011). Elementary Statistics Using the TI-83/84 Plus Calculator (3rd Edition). Addison-Wesley, Pearson Education. ISBN: 978-0-321-64148-9
- Course name: Calculus
- Course code: MATH 241
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: Colleges' requirement
- Description: This course provides a solid foundation in calculus principles and their practical applications. It covers core topics including functions, limits, continuity, derivatives, and integrals, along with advanced techniques such as substitution and the fundamental theorem of calculus. The curriculum extends to infinite series, parametric and polar curves, conic sections, and vectors in three-dimensional space. The course balances theoretical understanding and practical application to develop students’ analytical and problem-solving skills essential for advanced studies and real-world challenges.
- Main topics of the course:
-
- Functions and Models
- Limits and Derivatives
- Differentiation Rules
- Applications of Differentiation
- Integrals
- Applications of Integrals
- Sequences and Series
- 3-D Vectors
- Textbook: Anton, Howard, Irl C. Bivens, and Stephen Davis. Calculus: Early Transcendentals, Single Variable (10th Edition, 2012). ISBN-13: 978-1118129272.
- Course Name: Discrete Mathematics
- Course code: MATH 494
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: -
- Description: This course introduces students to the fundamental concepts of discrete mathematics, including algebraic, logical, and combinatorial principles. It covers topics such as Boolean logic, predicate logic, sets, mappings, relations, elementary counting principles, algorithms, proof techniques, graphs, and recursions. The course aims to develop students’ analytical and problem-solving skills by understanding abstract mathematical structures that form the foundation of computer science and related fields.
- Main topics of the course:
-
- Logic theory – Boolean logic & predicate logic
- Fundamental structures (sets, functions, sequences & sums)
- Proof techniques (induction, recursion)
- Basic counting
- Graph theory
- Basics of algorithms, growth functions, and complexity
- Textbook: Rosen, KH (2012). Discrete Mathematics and its Applications (7th Edition). New York, NY: McGraw Hill. ISBN: 978-0077431440
- References: -
- Course Name: Statistics
- Course code: STAT 490
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Requirement type: -
- Description: This course introduces students to the fundamental concepts of statistics with a focus on business applications. It covers both descriptive and inferential statistics, including measures of central tendency and dispersion, graphical data presentation, linear regression, probability, and distributions. Additional topics include confidence intervals, hypothesis testing for one or two populations, ANOVA, and Goodness of Fit tests. Emphasis is placed on the practical application of statistical techniques using basic algebra and Microsoft Excel for data analysis and interpretation.
- Main topics of the course:
-
- Vocabulary and Graphical Displays
- Numerical Descriptive Statistics
- Probability
- Discrete Probability Distributions
- Continuous Distributions and Central Limit Theorem
- Estimation and Confidence Intervals
- Hypothesis Testing of the Parameter
- Hypothesis Testing Using Samples from Two Populations
- Correlation and Linear Regression
- Chi-Square Tests
- Analysis of Variance (ANOVA)
- Textbook: Triola, MF (2011). Elementary Statistics Using the TI-83/84 Plus Calculator (3rd Edition). Pearson Education. ISBN: 978-0-321-64148-9.
- References: -
- Course Name: Fundamentals of Math
- Course code: MATH 003
- Credit hours: 3
- Contact hours: 48
- Language of instruction: Arabic
- Type of requirement: University requirement
- Description: This course introduces the fundamental mathematical concepts needed by students in the Faculty of Science and Theoretical Studies during their undergraduate studies. It aims to enable students to understand mathematical principles and approach algebraic, geometric, and numerical problems in a systematic and scientific manner.
- Main topics of the course:
-
- Sets and set algebra
- Real numbers and their properties
- Forces and Foundations
- Algebraic expressions and operations on them
- Linear equations and linear inequalities (inequalities) with one unknown
- Equations and inequalities that contain absolute value
- Solving a system of two linear equations with two variables
- Solving quadratic equations with one unknown
- Analytical geometry (the Cartesian plane – the straight line, its slope, equation, and drawing)
- Polynomial analysis
- Functions
- sequences
- Textbook: Principles of Mathematics
- References: -
- Course Name: Fundamentals of Math
- Course code: MATH 001
- Credit hours: 3
- Contact hours: 48
- Language of instruction: English
- Type of requirement: University Requirement
- Description: This course introduces students to the fundamental concepts of algebra, addressing both introductory and intermediate levels. It focuses on building a strong foundation in algebraic principles and problem-solving techniques essential for further study in mathematics and related fields.
- Main topics of the course:
-
- Basic algebraic properties
- Integers
- Simplifying and factoring polynomials
- Solving and graphing linear equations and inequalities
- Solving systems of equations in two variables
- Functions
- Rational expressions
- Quadratic and rational equations and inequalities
- Absolute value
- Graphing systems of equations and inequalities, and other selected topics
- Textbook: Bittinger, Marvin L., and Beecher, Judith A. (2011). Introductory and Intermediate Algebra (6th Edition).
- References: -
