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seminars covering the full range we reach predictive, model-based covers basic AI concepts and CHE 206L - General Chemistry and triple-component systems, equations of state; First and
of career opportunities from analytics. The course is designed terminologies, applications, tools, II Lab types and orders of reactions, second laws; Concepts of Entropy,
emerging areas (nanotechnology, in a way that balances theory and and performance evaluation in an determination of some simple Thermodynamic properties of
biochemical, multifunctional practice. Throughout the course, the accessible way to a wide range of Credit Hours: 1 physical characteristics as melting pure fluids; Applications of energy
materials) to those found in the students will follow the data-driven audiences. Students are introduced Prerequisite: CHE 205 point of solids, pH, viscosity and balances and thermodynamics to
more traditional positions within approach to solving real-life problems to supervised learning including Co-requisite: CHE 206 conductivity, electrochemistry, flow processes; Production of power
the chemical, petrochemical, and through a series of practical labs and classification and regression, deep This course introduces the principles surface thermodynamics. from heat, power cycles; Liquefaction
petroleum industries. Further, class activities. They will learn how learning, unsupervised learning, and and concepts of chemistry with the and refrigeration.
introduction of computational tools to explain and identify the elements reinforcement learning. They are also emphasis on laboratory skills and MEC 300 - Materials Science
Excel and MATLAP in programming of introductory to intermediate trained on using simple yet powerful practical hands-on experiences for Credit Hours: 3 CME 300 - Chemical Engineering
environment. data-driven systems using Microsoft AI tools to empower their creativity the students. This course will have Prerequisite: CHE 205 Thermodynamics II
Power BI. The course concludes by and innovation in problem solving, AI laboratory experiments, simulated
CSC 201 - Structured introducing the students to a variety strategy design, process automation, experiments, demonstrations and An introduction to the structure Credit Hours: 3
Programming of special data analytics applications and cost reduction, and thus add group activities of students to and properties of materials and Prerequisite: CME 220 + MTT 205
Credit Hours: 3 in engineering, health, business, and value to their future employers. This illustrate the principles and concepts the processing routes utilized to This course covers: Review of basic
optimize properties. All major classes
thermodynamics; Gibbs phase rule;
Prerequisite: MTT 101 or higher the web emphasizing social, security, is done through a practical course of the course CHE 206. of materials are covered, including Theory and application of solution
and economic dimensions.
component designed to allow
The main objective of this course is to students to build simple data-driven CHE 305 - Organic Chemistry metals, ceramics, composites, thermodynamics; Vapor-liquid and
provide students with the logic and COE 202 - Engineering Economy, AI using Excel. The data used in and polymers. Emphasis on the liquid-liquid equilibrium for ideal and
tools required to develop scientific Ethics and Law these laboratories is collected from Credit Hours: 4 relationships between chemical non-ideal systems; Chemical reaction
software programs in MATLAB. different domains such as health, Prerequisite: CHE 206 bonding, crystal structure, phase equilibrium. Students will learn
MATLAB is a matrix-based language Credit Hours: 3 environmental science, business, and This course will cover the chemistry equilibria, microstructure, and essentials of property estimation
that is commonly used for scientific Prerequisite: ENG 200 + MTT 102 engineering. of carbon compounds and their properties including electrical band from software, for instance ASPEN-
and engineering computing. MATLAB This course articulates an ethical properties, structures and reactions. structures, electron excitation events Plus or equivalent.
has a rich set of toolboxes for a wide framework for engineers by It will cover Chemical bonding, and semiconductors. Diffusion,
range of applications in science critically reflecting on engineering physical properties, stereochemistry, kinetics of phase transformations, CME 301 - Mass Transfer
and engineering. The material for practice and examining the ethical reaction mechanisms, and synthesis. and microstructure development Credit Hours: 3
this course includes: Introduction challenges that confront engineers, Major Requirements The course will give the students during basic processes. Prerequisite: CME 300 + CME 341
to MATLAB Programming concepts, especially those working within a solid understanding of organic
Control Structures (loops and large organizations. This course chemistry by stressing how CME 210 - Principles of Chemical This course covers: Molecular,
conditions), Functions, Arrays and considers issues such as the social CHE 206 - General Chemistry II fundamental reaction mechanisms Engineering convective and interphase mass
Object-Oriented programming. responsibility of engineers, truth- Credit Hours: 3 function and reactions occur. Organic Credit Hours: 4 transfer; Transport properties;
Continuous and stage-wise mass
COE 102 - Introductory Big Data telling and disclosure, whistle- Prerequisite: CHE 205 laboratory experiments are included Prerequisite: CME 200 transfer; absorption/stripping
in the course. Labs will be for two
Analytics blowing, professionalism, and This higher course of chemistry hours per week. Co-requisite: CHE 205 operations; Humidification/drying;
risk-assessment. Through case study, is a continuation of CHE 205 and The course includes the following Design of absorption/stripping
Credit Hours: 3 this course will provide the tools to introduces the principles of chemistry CHE 330 - Physical Chemistry content related to the application equipment including hydrodynamic
Prerequisite: STT 100 evaluate ethical decisions in the field including; elements, compounds Credit Hours: 3 of physicochemical principles to design (loading, flooding, column
This course provides a general of engineering. and their configuration, geometry, Prerequisite: CME 220 + CHE 206 problems in chemical and processing diameter and height).
introduction to Data Analytics. COE 101 - Introductory Artificial chemical reactions, balancing This course of Physical Chemistry industries; mass balances on non- CME 305 - Modeling and
It provides an essential guide to Intelligence chemical equations, stoichiometry, reviews the properties of ideal and reactive systems; applications of Simulation in Chemical
reaction stoichiometry and mass
understanding and using data and other major principles of real gasses. The course gives a solid Engineering (with Embedded
analytics in real-life applications Credit Hours: 3 organic and in-organic substances. understanding of concepts of the first balances on reactive systems; Orsat Lab)
analysis; the use of thermodynamic
without the need for any previous Prerequisite: STT 100 Laws and applications will also be and second laws of thermodynamics
familiarity with programming. The This course introduces students to described in this course. This course and thermo-chemistry. Work, heat, data and general energy balances; Credit Hours: 3
course starts by introducing the main broad topics in artificial intelligence gives the students a full idea about internal energy, enthalpy, entropy and the use of heats of reaction and Prerequisite: CME 210 + CME 310
concepts of Data Analytics to provide (AI) and machine learning without the basic definitions of chemistry, and Gibbs energy are described in energy balance for reactive systems. Co-requisite: CME 331
a solid understanding of the field, requiring them to have a computing chemical interactions and laws, this course. The various principles CME 220 - Chemical Engineering Many chemical engineering
its subfields, and major application or mathematical background. and characteristics of mater. Also, it of physical chemistry including Thermodynamics I processes lead to sets of linear
areas. Students will learn the different Students will have a closer look reviews important algebraic concepts solutions; colligative properties, and nonlinear algebraic equations.
types of data, data sources and data at the booming field of AI and and introduces the use of these thermodynamics of mixing and Credit Hours: 3 This course will focus on numerical
use, and technologies for Big Data. develop insights on how it drives concepts in chemistry. liquid mixtures are well explained. Prerequisite: CME 210 methods for solving these types of
Then, we move through the various value for the society in virtually This course gives the students a This course covers the following: problems. In addition, techniques
types of analytics starting with basic all sectors including business, full idea about vapor pressure and Basic concepts of thermodynamics; for analyzing data to evaluate
univariate descriptive analytics and healthcare, education, engineering, temperature-composition diagrams. Pressure Volume Temperature different models and to obtain
moving through multivariate until and governance. The course Phase diagrams for single-, double- relationships of pure fluids and model parameters will be developed.

Abu Dhabi University | Undergraduate Catalog 2026 - 2027 Abu Dhabi University | Undergraduate Catalog 2026 - 2027