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methods such as the auxiliary data. and characteristics of mater. Also, it and axiomatic; model-based such as tables, transaction management, technologies, problem solving
equation, infinite series, and Laplace reviews important algebraic concepts visual and abstract and formalisms; professional, legal, and ethical issues assignments, and practical projects
transforms. Furthermore, students PHY 201 - Physics and and introduces the use of these temporal logic, contracts, and in data management, security and related primarily to machine learning
will explore the solution of systems of Engineering Applications II concepts in chemistry. assertions; algebraic specifications administration, and networked and natural language processing. In
differential equations Credit Hours: 3 CHE 201L - Chemistry Lab and formalisms; Object-Z specification databases. addition, this course is aligned with
MTT 204 - Introduction to Linear Prerequisite: PHY 102 and Z languages; automata; extended CSC 307 - Web Design Oracle AiML certificate. The students
finite state machines and finite state
will have the chance to attend training
Algebra The course is intended to provide Credit Hours: 3 machines [also known UML State Credit Hours: 3 bytes on an Oracle training channel
Prerequisite: CHE 205 (co-req)
Credit Hours: 3 engineering and science students Diagrams. Prerequisite: SWE 201 or CSC 201 dedicated for this course. At the end
Prerequisite: MTT 200 with sufficient understanding and This course introduces the principles SWE 401 - Software Engineering of the course the students can set
knowledge of physics concepts in and concepts of chemistry with the The Internet and the Web have for the AiML final exam and earn
This course introduces Linear Electricity and Magnetism that can emphasis on laboratory skills and Credit Hours: 3 revolutionized the way people a completion certificate issued by
Algebra and its practical applications, be relevant to their field of study. practical hands-on experiences for Prerequisite: CSC 202 communicate and organizations do Oracle Academy
particularly in Engineering. It aims The course is divided into two parts: the students. This course will have business. The business environment
to impart fundamental concepts of Electricity and Magnetism. The topics laboratory experiments, simulated This course covers the principles of of today demands that ICT CSC 408 - Distributed
linear algebra while demonstrating covered are; electric field, Gauss’s law, experiments, demonstrations and software engineering and object- professionals know how to establish Information Systems
their applicability in engineering electric potential, capacitance and group activities for the students that oriented analysis and design. Topics and maintain an interactive and Credit Hours: 3
contexts. Topics covered include dielectrics, current and resistance, illustrate the principles and concepts include software development dynamic Websites. In this course, Prerequisite: CSC 202 + CSC 305
matrices, systems of linear equations, direct current circuits, magnetic fields, for the course CHE 205. as an engineering discipline, students gain the knowledge needed
determinants, linear transformations, sources of magnetic field, Faraday’s STT 201 - Intermediate Statistics modeling with UML, requirements to develop a well-designed Website. The study of distributed systems is
eigenvalues, eigenvectors, and law and inductance. elicitation, object-oriented analysis, They learn the fundamentals of HTML exciting and interesting! In many
diagonalizing matrices. and Research Methods architecture design, object design, syntax and layout, creating effective respects, distributed systems are at
PHY 201L - Physics and implementation and testing, web pages, writing client-side the forefront of a revolution in the
PHY 102 - Physics and Engineering Applications II Lab Credit Hours: 3 Software Development Lifecycle, JavaScript, integrate JavaScript into computer science discipline. In this
Engineering Applications I Prerequisite: STT 100 Software Configuration Management, web pages and create an interactive course we will explore the principles
Credit Hours: 3
Credit Hours: 3 Prerequisite: PHY 102 + PHY 201 (co- This course provides students with Requirements Engineering, and dynamic Website. Cascaded Style and paradigms that are associated
Prerequisite: MTT 102 req) a comprehensive understanding Software Architecture, Use Cases, Sheets (CSS) are introduced to specify with distributed systems. During
of statistical techniques commonly Object-Oriented Design, UML the presentation of elements on a our exploration of principles, we
The course aim is to provide This course is designed to help used in data analysis. Through Diagrams, Software Measurement Webpage, e.g., fonts, spacing, sizes, will focus on developing a working
engineering and computer science students develop the ability to a combination of theoretical and Cyclomatic Complexity. colors and positioning. JavaScript, understanding of the notions and
students with clear understanding perform scientific experiments and concepts and practical applications, which is the standard client-side concepts that are fundamental to all
of the basic concepts of physics. to enhance their understanding of students will gain proficiency in scripting language for Web-based distributed systems: communication,
The course is divided into two parts: theoretical material presented in utilizing statistical methods to draw Major Requirements applications, is presented to add coordination, fault-tolerance,
Mechanics, and Waves. The topics Phy201 (Electricity and Magnetism) meaningful insights from data. Topics functionality to the web page. transparency, self-organization,
covered are; Units, Vectors and by performing landmark experiments covered include Normal Distribution, and synchronization. During our
Scalars, vectors product, motion in with emphasis on the presentation sampling distributions, estimation CSC 302 - Database Management CSC 406 - Artificial Intelligence investigation of paradigms, such as
one and two dimensions, Newton’s and interpretation of experimental techniques, hypothesis testing for Systems Credit Hours: 3 message passing, remote object
laws of Motion, Circular motion, Work data. single and multiple populations, invocation, distributed shared
and Energy, Conservation of Energy Goodness-of-Fit, and Analysis of Credit Hours: 3 Prerequisite: STT 201 + CSC 301 memory, or group communication,
and Oscillatory Motion. CHE 205 - General Chemistry I Variance. Prerequisite: MTT 202 + (SWE 201 or This course provides a comprehensive we will examine, in great depth,
CSC 201)
PHY 102L - Physics and Credit Hours: 3 SWE 302 - Formal Methods in introduction to Artificial Intelligence. It specific technologies for building
distributed systems. To this end, we
Engineering Applications I Lab Prerequisite: (Co) ENG 102/ENG 200 Software Engineering This course is about databases, and is intended to equip the students with will focus on the implementation
in particular, relational databases and
theoretical and hands-on practical
Credit Hours: 3 This course introduces the principles Credit Hour: 3 languages. The course introduces knowledge necessary to analyze of distributed systems that utilize
Prerequisite: MTT 102 + PHY 102 (co- of chemistry including: elements and Prerequisite: MTT 202 + SWE 401 the concepts relating to creating, and understand different aspects the Java programming language.
their symbols, the periodic table,
requisite) managing and querying database related to modern AI systems. Topics Main topics include: interprocess
names and formulas of compounds, The focus of this course is to systems. It covers the fundamentals communication, remote invocation,
This course is designed to help chemical reactions, balancing introduce a mathematical approach of databases, the process of database covered include intelligent agents, distributed operating systems,
search and optimization algorithms,
students develop the ability to chemical equations, stoichiometry, for the specification, verification, design, including data modelling, in distributed file systems, coordination
perform scientific experiments and and other major principles of and testing of software systems. particular with the Entity Relationship machine learning, deep learning, and agreement, and concurrency
to enhance their understanding organic and in-organic substances. It introduces the following topics: Model, and the relational data natural language processing, control.
of theoretical concepts presented Laws and applications will also be propositional logic and predicate model. Students will gain a sound and personalized systems and
in Physics I course (PHY102) by described in this course. This course logic; unordered structures and practical understanding of the SQL recommender systems. The course
utilizes a variety of learning and
performing landmark experiments gives the students a full idea about ordered structures; relations relational database query language.
with emphasis on the presentation the basic definitions of chemistry, and functions; type declarations They will also develop skills related assessment tools. These include
and interpretation of experimental chemical interactions and laws, property-based such as algebraic to normalization of relational case studies of cutting-edge AI
Abu Dhabi University | Undergraduate Catalog 2026 - 2027 Abu Dhabi University | Undergraduate Catalog 2026 - 2027