COURSE DESCRIPTION

University Requirement - 24 Credit Hours:

Compulsory Courses - 15 Credit Hours

Course Code	Course Name	Credit hours	Description
A0110151	National Education	3	Concepts and terms related to National Education; Geography of Jordan including location, area, and natural, water, and human resources; Contemporary political history of Jordan, major historical events, achievements of the Kings of Jordan, initiatives of His Majesty King Abdullah II bin Al- Hussein; Jordanian constitutional and democratic life; Jordanian society, and the discussion papers of His Majesty King Abdullah II. The course aims to develop students? sense of active and responsible citizenship, reinforce values of belonging and participation in nation-building, and consolidate concepts of justice, equality, and human rights. This course is linked to the following Sustainable Development Goals (SDGs): Goal 4, Goal 10, and Goal 16.
A0110144	Arabic Communication Skills	3	Definition of language; language levels: phonological level, morphological level, syntactic level, semantic and lexical level, rhetorical level, and writing level; Reading comprehension texts; grammar exercises: nominal sentences, verbal sentences, "إنَ" and its sisters, "كان" and its sisters, dual form, sound masculine plural, sound feminine plural, diptotes, vocative, modifiers, numbers; Morphological exercises: active participle, passive participle; Spelling and punctuation; dictionaries; listening texts; speaking. This course is linked to the following Sustainable Development Goals (SDGs): Goal 4, Goal 10, Goal 11, and Goal 16.
A0110155	Military Sciences	3	This course introduces the concept of comprehensive national security and strengthens values of belonging, responsibility, and trust in Jordan?s military and security institutions. It provides students with essential knowledge about the history and development of the Hashemite Kingdom of Jordan and its armed forces, while raising awareness of issues such as psychological operations, drugs, and terrorism. The course aligns with the Sustainable Development Goals by promoting peace, strong institutions, responsible citizenship, and community well-being (SDGs 3, 4, and 16)
A0110143	English Communication Skills	3	This course aims to improve the four skills of the English language, so that students can use it in their daily conversation. This online course is taught via https://vclass.ammanu.edu.jo . The course consists of grammar (word classes, tenses, reported speech, conditionals and other grammatical topics), vocabulary (associated with different reading topics), reading skills (variety of reading texts from different areas of knowledge), listening skills, and writing skills (covering six different writing styles). This course is linked to the following Sustainable Development Goals (SDGs): Goal 4, Goal 10, Goal 11, and Goal 1
A0110154	Life Skills	1	This course focuses on the vital development of the individual at both personal and group levels, serving as a gateway for personal success and helping students understand their own personal competencies. The course discusses the meaning of skills, their levels, characteristics, and importance, including communication skills, and trains students in personal skills such as time management, providing definitions, examples of its applications, and hands-on activities. The course also trains students in dialogue and opinion-exchange techniques which means to resolve conflicts and reduce friction in increasingly open societies. Additionally, it covers effective study skills, family success, and maintaining physical health. This course is linked to the following Sustainable Development Goals (SDGs): Goal 3, Goal 4, and Goal 8.
A0110153	Leadership and Societal Responsibility	1	This course addresses key topics related to leadership and management, including the meaning of leadership, its components and levels, administrative styles, their concepts and principles, and some of their theories. It also covers concepts related to social responsibility, servant leadership, strategic planning, change management, the importance of leader self-awareness, professional ethics, and building effective teams, as well as practical leadership and management applications. The course is linked to the following Sustainable Development Goals (SDGs): Goal 4, Goal 8, and Goal 16.
A0110152	Entrepreneurship and Innovation	1	This course aims to introduce students to entrepreneurship in a practical way by using various tools to convey entrepreneurship concepts. The course covers topics relevant to entrepreneurs, including entrepreneurial fundamentals, traits of successful entrepreneurs, creative thinking and methods for generating entrepreneurial project ideas, teamwork and leadership, business plan preparation, marketing and digital marketing, financing entrepreneurial projects, and feasibility studies for entrepreneurial ventures. This course is linked to the following Sustainable Development Goals (SDGs): Goals 1, 4, 5, 8, 9, 10, 13, 15, and 17.

Elective Courses - 6 Credit Hours

Course Code	Course Name	Credit hours	Description
A0110161	Islamic Culture	3	oncept of culture; characteristics of Islamic culture; Islamic culture and other cultures; sources of Islamic culture: the Holy Qur?an, the Sunnah, the Arabic language, and Islamic history. Fields of Islamic culture: faith-based, worship-related, and moral. Challenges facing Islamic culture: Orientalism, globalization, and secularism. Cultural issues and personality development: youth and intellectual invasion, the role of women in Islamic culture, and terrorism and Islam?s stance on it. This course is linked to the following Sustainable Development Goals (SDGs): Goal 1, Goal 3, and Goal 16.
A0110163	Archeology and Tourism in Jordan	3	The course introduces the concept of tourism and the definition of a tourist, the importance of tourism, and tourism motivations. It covers natural and human tourist attractions, tourism components, and types of tourism, as well as archaeology, its fields, methods of collecting archaeological information, and objectives of excavation operations. The course also examines archaeological excavations throughout historical periods and the monuments of ancient civilizations (including Egyptian, Greek, Roman, Nabatean, Islamic, and others). The objectives of the Archaeology and Tourism course in Jordan can be linked to the Sustainable Development Goals (SDGs): Goal 8, Goal 11, and Goal 12.
A0110164	Development and Environment	3	This course focuses on environmental issues, environmental problems, and the relationship between humans and the environment, as well as finding solutions to environmental challenges. It also covers the concepts of development and sustainable development, through which solutions are sought to address problems, particularly for future generations. The course links environmental issues and development to the Sustainable Development Goals (SDGs), including Goal 11, Goal 12, Goal 13, and Goal 1
A0110165	Contemporary Issues	3	The Contemporary Issues course addresses several topics, including political, social, cultural, and educational issues. In the political domain, the course covers democracy, globalization, and the Arab?Israeli conflict. In the cultural domain, it addresses the role of the Arab intellectual, mechanisms of change, and development in its various dimensions. This course is linked to the following Sustainable Development Goals (SDGs): Goal 1, Goal 8, and Goal 10.
A0411601	Legal Education and Human Rights	3	This course identifying the basic concepts of human rights in an analytical way, and then realistic clarify of the international & regional means dealing with human rights such as treaties, recommendations and international means that are in the process of formation, such imperative rules & customs, this course also address realistically the content of human rights and the rights of the first generation such as right of living. The second-generation rights such as the right to work and third-generation rights such as the right of environment. International ways to protect human rights in general. In addition, the extent to which the Jordanian constitution is compatible with international human rights standards.
A0110162	History of Jordan and Palestine	3	story of Jordan and Palestine: Geography of Jordan and Palestine; Jordan and Palestine in ancient times ? a general historical overview; Jordan and Palestine during the Mamluk era; Jordan and Palestine during the years of World War I (1914?1918); the Emirate of Transjordan; constitutional and legislative life in Jordan; Palestine under the British Mandate; Jordanian?Palestinian relations. This course is linked to the following Sustainable Development Goals (SDGs): Goal 4 and Goal 11.
A0110166	Media and Public Relations	3	This course introduces mass communication and its various activities, with a focus on media and public relations. It covers communication techniques, their development stages, and mechanisms of application. The course is linked to the following Sustainable Development Goals (SDGs): Goal 4 ? Quality Education-- By introducing students to communication, its types, and components, which enhances interaction between students and instructors, and by exploring communication techniques, their development stages, and methods of application in learning. Goal 8 ? Decent Work and Economic Growth -- By providing an understanding of public relations, its role, importance, objectives, and the qualifications required for professionals in the field. Goal 16 ? Peace, Justice, and Strong Institutions -- By addressing the importance of soft (symbolic) power and its relationship with specialized media, and the role of media in shaping public opinion and promoting peace and justice in society

Elective Courses - 3 Credit Hours

Course Code	Course Name	Credit hours	Description
A0871103	Principles of Renewable Energy	3	Introduction to renewable Energy include Photovoltaic, Wind power, Micro hydropower, Biomass energy, Waste power, Solar thermal power, Geothermal power, Ocean energy (tidal, tide-flow and wave), Ocean energy (OTEC), , Comparison of characteristics and cost of renewables. How we can use the sun, wind, biomass, geothermal resources, and water to generate more sustainable energy. It explains the fundamentals of energy, including the transfer of energy, as well as the limitations of natural resources. Starting with solar power, the text illustrates how energy from the sun is transferred and stored; used for heating, cooling, and lighting; collected and concentrated; and converted into electricity
A0110168	Digital Literacy and Artificial Intelligence	3
A1321100	Sport and Health	3	Defining health and fitness: physical education, health education; the cognitive, emotional, skill-oriented, and social goals of physical education; the history of physical education: ancient, medieval, and modern ages, the Olympics, Athletics in Jordan: nutrition and exercising; athletic injuries: bone, joint , muscle, skin injuries; special exercises for figure deformation; diseases related to lack of exercise: diabetes, obesity, being underweight, back pain, cancer; hooliganism: causes and recommended solutions for hooliganism.
A0110167	Critical Thinking Skills	3	This course covers the concept of critical thinking, critical thinking skills, strategies to develop critical thinking, and training activities for critical thinking skills. It also addresses problem-solving and decision-making, including the concept of problem-solving, strategies and types of problem-solving, and time management skills, including the importance of goal setting and time management strategies. This course is linked to the following Sustainable Development Goals (SDGs): Goal 1, Goal 2, Goal 7, Goal 13, Goal 16, and Goal 17
A0110281	Society Health	3

Faculty Requirement - 19 Credit Hours:

Compulsory Courses - 19 Credit Hours

Course Code	Course Name	Credit hours	Description
A0341311	Networks and Cybersecurity Essentials	3	The course studies the basic of computer networks: types of networks, main devices, Ethernet technology, principles and structure of IP addressing; overview of the common protocols such as: TCP, UDP, HTTP, HTTPS, POP, IMAP, SMTP, DNS, FTP, DHCP; basic security measures and tools: malware, general means of authentication, password-based authentication, physical security, firewall basics; cryptography: symmetric and asymmetric algorithms, hash functions, basics of digital signature and steganography.
A0331202	Introduction to Programming	3	Sequential execution: program structure, command line arguments, string literals, output, Limerick layout; Program errors: syntactic errors, semantic errors, compile time errors, runtime errors; Types, variables and expressions: string, double and integer types, hard-coded data, assignment statement, arithmetic expressions and associativity, type conversions, parsing input data, integer division, grouping expression terms and long statements layout; Conditional and repeated execution: choice and iteration statements, Boolean expressions, relational operators, program design using pseudo code, lists of command line arguments, comments, standard classes; Control statements nested in loops: declaring variables in compound statements, conditional expression operator;
A0334600	Ethical and Professional Issues in Computing	1	An overview of ethics, Professional ethics of workers and users in the field of information technology, Cyberattacks and Cybersecurity, Privacy, Intellectual property, Ethical decisions in software development.
A0312201	Object Oriented Programming	3	Introduction to Object Oriented Programming Concepts using Java language: Classes, Objects, Constructors, Encapsulation: Visibility Modifiers; Packages; Overloading; using this keyword; using static keyword; Array of objects: Store and Process objects in array; Relationships between Classes: Composition, Inheritance: Superclasses and Subclasses, using super keyword, Constructor Chaining, Overriding, Polymorphism, Preventing Extending and Overriding, The Object Class and its toString() Method; Abstract Classes; Interfaces; Exception Handling; introduction to GUI programming.
A0311101	Discrete Mathematics	3	Logic, relations, functions, basic set theory, countability and counting arguments, proof techniques, mathematical induction, graph theory, combinatorics, discrete probability, recursion, recurrence relations, and number theory. The fundamental mathematical tools used in computer engineering as: sets, relations, and functions; propositional logic, predicate logic, and inductive proofs; summations, recurrences, and elementary asymptotic; counting and discrete probability; undirected and directed graphs; introductory linear algebra, with applications in computer engineering.
A0371201	Introduction to Information Technology	3	Basic elements of computing: programming, computer, program, operating environment, data, file; Number systems: decimal, binary, conversion; Describing problem solution using standard flowcharting notation; Linux basics: basic commands, working with files, working with directories, file name substitution, input/output and I/O redirection; Linux shell: overview, programming tools; User-defined commands and shell variables: command files, variables, integer arithmetic; Passing arguments: $#, $#, ${n}; Decisions: exit status, test command, else, exit, elif, Null, && and || constructs; Loops: for, while, until, breaking a loop, skipping commands in a loop; Git: installation and configuration, basic commands, branching.
A0110101	Mathematics (1)	3	Topics include Function and Models, Trigonometry Functions, Logarithms, Exponential functions, Limits of Sequences, Continuity, Limits of functions, Derivatives and Rates of Change, Basic Differentiation Formulas, Derivatives of the Logarithmic functions, Linear Approximations, Applications of differentiation, Maximum and minimum values, How derivatives affect the shape of a graph, L?H?pital?s Rule, Optimization Problems, Integrals, The indefinite integral, definite integral and applications, The fundamental theorem of calculus, and The substitution rule. Students will apply these concepts to model and analyze real-world sustainability problems related to energy, resources, and climate, supporting SDGs 4, 9, and 13.

Major Requirement - 60 Credit Hours:

Compulsory Courses - 51 Credit Hours

Course Code	Course Name	Credit hours	Description
A0374504	Computer Vision	3	This course covers an introduction to computer vision including the basics of image composition, camera imaging architecture, feature detection and matching, stereo, motion estimation and tracking, image classification, scene understanding, methods for retrieving depth from stereo images, camera calibration, automatic alignment and tracking, and boundary detection and recognition. In order to understand images, both classical machine learning and deep learning are introduced to deal with different image shapes.
A0374605	Practical Training	9
A0373505	Deep Learning	3
A0374501	Natural Language Processing	3	The course introduces the linguistic (knowledge-based) and statistical approaches to language processing in the three major subfields of NLP: syntax (language structures), semantics (language meaning), and pragmatics/discourse (the interpretation of language in context). The course will also cover the applications of NLP such as information extraction, machine translation, automatic summarization, question-answering, and interactive dialogue systems.
A0372401	Introduction To Data Science	3	Introduction to data science; The basics of Python; Data preparation; Exploratory data analysis; Preparing to model the data; Introduction to machine learning; Data visualization.
A0374607	Graduation Project (2)	3
A0372201	Programming for Data Science	3
A0373501	Artificial Intelligence	3	Major research topics in artificial intelligence include problem solving, reasoning, planning, natural language understanding, computer vision, automatic programming, machine learning, etc. In this course, we will study the basic knowledge of understanding artificial intelligence. We will introduce some basic search algorithms to solve problems; representation of knowledge and inference; Pattern recognition and neural networks.
A0373405	Data Mining and Machine Learning	3
A0374401	Big Data	3	An enormous amount of data is now being collected through websites, mobile apps, credit cards, and many other everyday tools that we use on a massive scale. This course will explore the logic behind the complex methods used in this field, as well as how research is modeled on big data with real-life examples. By the end of the course students will be familiar with this field and be able to conduct research design using big data. They will gain the benefits of business data analytics, which includes the use of data, statistical and quantitative analysis, exploratory and predictive models, and evidence-based methods for making business decisions.
A0374503	Business Intelligence	3	This course explores how business problems can be solved effectively by using operational data to create data warehouses, and then applying data mining tools and analytics to gain new insights into organizational operations. Topics will be covered: the differences between types of reporting and analytics, enterprise data warehousing, data management systems, decision support systems, knowledge management systems, big data and data/text mining. Case studies are used to explore the use of application software, web tools, success and limitations of BI as well as technical and social issues.
A0373504	Robotics Programming	3	This course introduces robots programming, software modification, and operation, where the robot operating system and a number of tools commonly used in robotics programming with a focus on autonomous mobile robots, where the focus is on how to create a user program to interact with sensors and mobile robot actuators and implement algorithms Motion control. This course is concerned with debugging programs using available tools, testing them using simulation tools, and implementing them on a mobile robot.
A0373401	Data Engineering	3	In this course, students will get an introduction to the fundamental building blocks of big data engineering, and learns the foundational concepts of distributed computing, distributed data processing, data management and data pipelines. Students will discover how to build an effective data architecture, streamline data processing, and maintain large-scale data systems.
A0374606	Graduation Project (1)	3
A0373101	Computing Systems for Data Science and Artificial Intelligences	3

Elective Courses - 9 Credit Hours

Course Code	Course Name	Credit hours	Description
A0374402	Data Visualization	3	This course introduces the student to computer vision algorithms, methods and concepts which will enable the student to implement computer vision systems with emphasis on applications and problem solving. The topics will be covered are: Introduction and Image Sensing, Image Analysis, Edge/Line Detection, Segmentation/Morphological Filtering, Fourier Transform, Feature Extraction/Analysis, Pattern Classification.
A0372402	Statistics and Probability for Data Science	3	This course includes an introduction to probability and statistics with a focus on data science. The topics covered include fundamentals of probability theory and statistical inference, including: probabilistic models, random variables, useful distributions, expectations, the law of large numbers, the central limit theorem, point and confidence interval estimation, maximum likelihood methods, hypothesis tests, and linear regression
A0373406	Information Security	3
A0374406	Selected Topics in Machine Learning	3
A0374505	Selected Topics in Artificial Inteligence	3	The aim of this course is to introduce students to different areas of artificial intelligence, and this is done by presenting new tools and techniques, and various research areas in artificial intelligence. The fields and disciplines that use this science to automate tasks and how to apply algorithms and various tools of artificial intelligence in these disciplines are also discussed.
A0343412	Cloud Computing & Security	3	Introduction to cloud computing: basic concepts and terminology, essential cloud characteristics; cloud service and deployment models: the cloud service models, the cloud deployment models; cloud-enabling technology: multitenant technology, service technology, virtualization technology; fundamental cloud security: basic terms and concepts, cloud security threats.
A0373503	Information Retrieval	3	This course covers the components, design, and implementation of textual information retrieval systems and various techniques for building information systems based on text analysis, indexing and retrieval, including the following: text indexing, logical retrieval models, vector space retrieval models, and text extraction. Classifying, evaluating and analyzing text, compression methods, reducing memory space, indexing big data, and the best ways to index data according to size and available memory space.
A0374502	Pattern Recognition	3	This course introduces the basic principles of pattern recognition algorithms and applications, such as faces, letter recognition. The course covers topics such as, pattern representation, pattern recognition systems, preprocessing and feature extraction, theories of supervised and unsupervised learning, object classification and recognition.
A0374405	Optimization Algorithms	3
A0342314	Protection using Linux	3	Linux basic concepts: file system, commands, utilities, text editing, shell programs and word processing; Linux shells: command line syntax, properties, file name generation, redirection, piping and quote mechanisms; File system navigation: controlling access to files, file and directory naming rules and conventions, handling of files and links; Terminal control: working with vi, monitoring and controlling processes, using command line editing, replacing commands, using backup commands; Control operations: print jobs, network communication, group policy management.
A0373407	Knowledge Representation and Inference	3
A0374404	Selected Topics in Data Science	3	The objective of this course is to introduce students to different areas of data science, and this is done by presenting new tools and techniques, and various research areas in data science. The fields and disciplines that use this science to analyze data and extract knowledge and how to apply algorithms and different tools of data science in these disciplines are also discussed.

Free Ellective - 29 Credit Hours:

Compulsory Courses - 29 Credit Hours

Course Code	Course Name	Credit hours	Description
A0313101	Algorithms Analysis and Design	3	Introduction: Asymptotic Behavior, O, Omega , Thata notation, analysis of algorithms complexity, proving algorithm correctness with loop invariant, solving recurrences; Sorting: insertion, quick, merge, heap; Advanced Algorithm Analysis and Design: amortized analysis, dynamic programming; Graph: breadth first search, depth first search, Topological sort, minimum spanning tree, shortest path; Advanced data structures: B-trees; String matching: naive, KMP; NP-Completeness: P, NP, NP-Complete classes, proving NP-completeness.
A0312101	Data Structures	3	Lists: static allocation, dynamic allocation; Stacks: static implementation, linked implementation, operations, applications; Recursion: applications, program stack; Queues: static implementation, linked implementation, operations, applications; General Trees; Binary Trees; Binary Search Trees: traversal, search, add and delete operations; Files: input, output; Graphs: traversal, adjacency matrix, and adjacency list.
A0312401	Fundamentals of Databases	3	Database Concepts; Database Design Methodologies; Data Modeling using ER and EER; Database Integrity Constraints; Relational Model: Relational algebra, Relational Calculus; Functional Dependencies and Normalization.
A0110201	Linear Algebra	3	This course covers systems of linear equations, homogeneous and non-homogeneous systems and their solutions, matrices, determinants, vector spaces, eigenvalues and eigenvectors, and complex analysis, including complex numbers and functions, analytic and harmonic functions, and exponential, trigonometric, and logarithmic complex functions. In alignment with The Sustainable Development Goals (SDGs)?particularly SDG 4 (Quality Education), SDG 9 (Industry, Innovation and Infrastructure), and SDG 13 (Climate Action)?the course emphasizes analytical thinking, innovation, and the application of mathematical tools to model and solve engineering, technological, and environmental problem
A0334605	Communication and Technical Writing Skills	2
A0311301	Digital Logic Design	3	Binary Systems: Digital Computers & Systems Binary numbers, Number Base Conversion: Octal & Hexadecimal Numbers, 1's & 2's Complements Binary codes; Boolean Algebra & Logical Gates: Basic Definitions of Boolean Algebra, Theorems of Boolean Algebra, Boolean Functions Digital Logic Gates, IC Digital Logic Families; Simplification of Boolean Function: Karnaugh Map Method with 3 variable , 4 variable, 5 variable Map. Sum of Products, Product of Sums, Don?t care; Combinational Logic: Integrated combinatorial circuits, Sequential circuits, Flip-flops, registers, counters, memory units.
A0332501	Introduction to Software Engineering	3	"System Development Methodologies: Software Engineering Processes, Waterfall, Prototype, Incremental, and Spiral, with focus on the Unified Process in its agile form; Principles of Software Engineering: Requirements Elicitation, Validation and Verification; Review of Principles of Object Orientation; Object Oriented Analysis Using UML: Behavioural UML Diagrams Use Case, Sequence, Activity, And State Diagrams; Structural UML Diagrams: Object, Class, and Package Diagrams.
A0333203	Internet Applications Development (2)	3
A0110103	Statistics and Probability	3	Data collections; Sampling; Measures of central tendency; Measures of dispersions; Probability: Rules of probability, counting rules; Discrete random variables; Binomial distributions; Poisson distributions; Normal distributions; Linear regression and correlation; Applications using AI- Tools (GeoGebra, Wolfram Alpha, ...etc). Students will apply statistical and probabilistic methods to analyze real-world data related to health, economic growth, and climate change, supporting SDGs 3, 8, and 1
A0332202	Internet Applications Development (1)	3

Complementary Requirement - 9 Credit Hours:

Compulsory Courses - 9 Credit Hours

Course Code	Course Name	Credit hours	Description
A0110191	Computer Skills (Remedial)	3
A0110141	English Language (Remedial)	3	This course aims to improve the four skills of the English language, so that students can use it in their daily conversation. This online course is taught via https://vclass.ammanu.edu.jo . The course consists of grammar (word classes, tenses, reported speech, conditionals and other grammatical topics), vocabulary (associated with different reading topics), reading skills (variety of reading texts from different areas of knowledge), listening skills, and writing skills (covering six different writing styles). This course is linked to the following Sustainable Development Goals (SDGs): Goal 4, Goal 10, Goal 11, and Goal 16.
A0110142	Arabic Language (Remedial)	3	Reading skills: comprehension texts, meaning and vocabulary; Grammar and morphology: parts of speech (noun, verb, particle), definite and indefinite nouns, pronouns and their types, demonstrative pronouns, relative pronouns, singular, dual and plural forms, prepositions, verb types, nominal and verbal sentences; Spelling and punctuation: writing the hamza in its various positions, the distinguishing alif after the plural ? و ?, differentiating between ض and ظ , "التنوين" , letters that are pronounced but not written in some words, and letters that are written but not pronounced in some words; Speaking; Writing; Listening texts and exercises. This course is linked to the following Sustainable Development Goals: Goal 4, Goal 10, Goal 11, and Goal 16.