Data Science and Artificial Intelligence







University Requirement

Faculty Requirement

Major Requirement

Free Ellective

Complementary Requirement

Total Credit Hours

Complementary Requirement is not calcualted in total credit hours

University Requirement - 24 Credit Hours:

Compulsory Courses - 15 Credit Hours

Course Code Course Name Credit hours Description
A0161201 English Communication Skills 3 Grammar: question tags, modals, future forms, articles, adjectives, adverbs, if structures; vocabulary: relationships, work, activities, media, war, sport; writing skills: essay, notes, messages, application letters; basic and advanced reading skills; basic and advanced listening skills; verbal skills: oral presentations, arguments.
A0161101 Arabic Communication Skills 3 Language levels: phonological level, grammatical level, rhetorical level, orthographic level, comprehension and speaking; grammar exercises, nominal sentences, verbal sentences, kana and its sisters, Inna and its sisters, dual, masculine plural, feminine plural, indeclinable nouns, vocative, appositives; exercises in morphology, present participle, and past participle; spelling and punctuation, dictionaries, listening and speaking.
A0161301 National Education 3 Concepts and terms; Geography of Jordan; contemporary political history of Jordan; Jordanian Society; Jordanian constitutional and democratic life; Jordanian national institutions; challenges facing Jordan; threats to civic life: fanaticism, extremism, terrorism, violence; corruption: definitions, types, causes, impact, and prevention.
A0161112 Leadership and Societal Responsibility 1 This course deals with prominent titles related to leadership, such as: the meaning of leadership, the vocabulary that falls under the term, leadership styles, leadership and social responsibility, change management and strategies, building an effective team, the leader and managing diversity, how to discover future leaders and support them, and women leaders.
A0161113 Life Skills 1 This course deals with the vital interest of the individual on the individual and collective level. It is like a passport to the success of individuals and helps them understand their personal competencies. It discusses the meaning of skills, their levels, characteristics and importance, communication skill and communication, and trains them on self-skills such as the skill of time management, organizing and defining it, and providing examples of its fields of application and activities. carried out by the students themselves. It also deals with thinking skills, its importance, education, and forms such as problem-solving and decision-making as forms of complex thinking or its strategies. The course also deals with training students on methods of dialogue and exchange of views as an entry point to resolving differences and mitigating frictions when we witness the openness of societies, correct study skills, family success and conservatism.
A0161401 Military Sciences 3 The establishment and development of the Hashemite Kingdom of Jordan; the history of the Arab Legion; peacekeeping troops; preparing the nation for defense and liberation.
A0161111 Entrepreneurship and Innovation 1 Economic science definition: its objectives and the economic problem; The relation between the economic science and other sciences; Economic analysis methods; Production possibilities curve; National income accounts; Consumption; Investment; Saving; Unemployment; Inflation; Money and Banking; Financial and monetary policy and its role in dealing with the imbalanced economy through these policies; Economic development in terms of importance and objectives and economic planning to achieve such objectives; Demand and supply theory and consumer equilibrium; Cost and production theory; Producer equilibrium in different markets.

Elective Courses - 6 Credit Hours

Course Code Course Name Credit hours Description
A0161501 Islamic Culture 3 Definition of the culture, characteristics of the Islamic culture, Islamic culture and other cultures; the sources of Islamic culture: The Holy Quran, Sunna, the Arabic language, history of Islam; fields of Islamic culture: faith, worship, morals; challenges facing the Islamic culture: orientalism, globalization, secularism; young people and the impacts of foreign cultures, women and Islam, Islam and terrorism.
A0161701 History of Jordan and Palestine 3 The geography of Jordan and Palestine, Jordan and Palestine in ancient times, general historical look, Jordan, and Palestine in the Mamluk era, Jordan, and Palestine during the First World War (1914- 1918), Emirate of East Jordan (Transjordan), constitutional and legislative life in Jordan, Palestine under the British Mandate, and Jordanian-Palestinian relations, Jerusalem, historical status.
A0161703 Archaeology and Tourism in Jordan 3 Tourism definition; Classification of Tourism; The difference between tourist and other traveler?s concepts, Travel types, The definition of Archaeology and archaeological sites: Archaeological surveys and excavations; Documentation; Jordan through the ages; Components of tourism in Jordan; Elements of tourist attractions in Jordan: Archeological sites, Natural sites, Natural reserves, Forests; Tourist movement and types in Jordan; Economical impact of tourism in Jordan.
A0161601 Contemporary Issues 3 Identify the most important contemporary local, national and regional issues, the most prominent contemporary challenges and their questions from development, youth, extremism, globalization, culture and identity; Jerusalem and its central position, the Arab-Israeli conflict
A0161802 Development and Environment 3 The course provides awareness and insight into the environmental issue, its vocabulary, the human relationship with the ecosystem, and environmental hazards to avoid. It also works to develop students' understanding and awareness of basic ecological concepts, and to reinforce their attitudes and values, in order to practice solving environmental problems. And linking it to comprehensive development and its relationship to water, food and energy security.
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.
A0161901 Media and Public Relations 3 The nexus between media and society in terms of the social, political, economic and cultural power of the media, the role of the media in giving people the opportunity to express their opinions and promote international relations. Communication and public relations, communication and its types, levels, forms, properties, fields, activities, physical and nonphysical (symbolic) environment, and obstacles to the communicative process. Public relations: its beginnings, development, principles, bases, importance, functions, planning, activities.

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
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.
A0591111 Digital Literacy 3 Digital Literacy is a concept that describes how technology and the Internet are shaping the way people interact and how they affect us as individuals and as a society. This course educate students on the uses of digital technologies, the dangers of digital technology and the need to build a culture of ethical use of the Internet and introduce the concept of responsible freedom.
A0612303 Society Health 3 The course aims to provide students with the basic principles that enhance the concept of health and health prevention in its various physical, psychological and social aspects. The student will also be provided with information that helps individuals realize their health needs in the context of the culture and values ??systems they live in and how to meet these needs, which is known as improving health and quality of life.
A0161602 Critical Thinking Skills 3 The concept of critical thinking, its components; characteristics of critical thinking individuals; Critical thinking skills: the skill of interpretation, analysis, evaluation, inference, expectation, prediction; Stages of critical thinking: Motivation, searching for information, linking information, evaluation, expression, and integration

Faculty Requirement - 21 Credit Hours:

Compulsory Courses - 21 Credit Hours

Course Code Course Name Credit hours Description
A0111101 Mathematics (1) 3 Introduction to Calculus; The rate of change of a function; Limits; Derivatives of algebraic functions and their applications; Integration; Application of the definite integral.
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.
A0334605 Communication Skills and Technical Writing 2

Major Requirement - 60 Credit Hours:

Compulsory Courses - 51 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.
A0373505 Deep Learning 3
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.
A0374604 Graduation Project 3
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.
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
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.
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
A0374601 Practical Training 0
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.
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.
A0374405 Optimization Algorithms 3
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.
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.

Elective Courses - 9 Credit Hours

Course Code Course Name Credit hours Description
A0373406 Information Security 3
A0373404 Recommender Systems 3 This course is concerned with defining the different models of recommendation so that decisions are based on logical and mathematical foundations according to different data such as cases of uncertainty, lack of information or certainty. In this course, a set of statistical algorithms are applied to help in building recommendations and decision-making systems. A variety of decision-making theories are defined (such as decision theory itself and realism) that can be used in different applications.
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.
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.
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.
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
A0374403 Social Network Analysis 3 This course covers the basic concepts and techniques of data analysis in social networks and how to identify individuals and key groups in society to detect and generate network infrastructures, model growth and propagation processes in networks and interpret the meaning of the above-mentioned phenomena with proposing possible courses of action to enhance or change them. This course is concerned with project analysis including data collection, consideration of ethical and legal implications, systematic and informed analyzes of network data for personal and commercial purposes, scientific use, and critical review of projects undertaken by others.

Free Ellective - 27 Credit Hours:

Compulsory Courses - 27 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.
A0112101 Linear Algebra 3 Systems of linear equations: Homogeneous and non-homogeneous systems ; Matrices: operations on matrices ; Determinants: Operations on Determinates ; Vector spaces ; Method for solving systems of linear equations: Case study ; Eigenvalues and Eigenvectors ; Error norms of vector and matrix ; Applications using software packages.
A0111103 Statistics and Probability 3 Data collections; Sampling; Measure 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 software packages.
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.
A0333203 Internet Applications Development (2) 3
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.
A0412203 Laws of Cybercrimes 3
A0332202 Internet Applications Development (1) 3

Complementary Requirement - 9 Credit Hours:

Compulsory Courses - 9 Credit Hours

Course Code Course Name Credit hours Description
A0161200 Remedial English Language 3 Grammar: auxiliary verbs, tenses (past, present, future) Vocabulary: friendship, communication, IT, TV shows, media, houses, places description, compound nouns, free time activities, books and movies description, food, dinning out. Variety of skills: paragraph writing, verifying formal and informal letters, writing unofficial emails, ways of using punctuation, upper case letters and conjunctions, outlining main ideas and details, inferring conclusions and impeded meanings, determining author?s perspectives, presentations, argumentation and persuasion, agreeing and disagreeing expressions, making comparisons, narrating events, expressing opinions, making official phone calls, ordering food, correct pronunciation.
A0331700 Remedial Computer Skills 3 Introduction to basic computer hardware and software; copyrights; Windows operating system; Microsoft Office: Word, Excel, Power point, Access; Introduction to Internet.
A0161100 Remedial Arabic Language 3 Language level and definition, speaking and comprehension texts, syntax exercises, Nominal Sentence, safe feminine plural, safe masculine plural, singularity, auxiliaries, duality, numbers, subordinates, punctuations, morphological exercise, dictation issues, Nunnation.

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