Page 427 - Undergraduate Catalog 2024-25

427

laboratory experiments, simulated economic comparison of investment broad topics in artificial intelligence
experiments, demonstrations and alternatives in Engineering Project (AI) and machine learning without
group activities for the students that Environment. The course includes requiring them to have a computing
illustrate the principles and concepts the time value of money, methods or mathematical background.
for the course CHE 205. of comparing alternatives from Students will have a closer look
economic point of view studying at the booming field of AI and
CME 200 - Introduction to rate- of return (ROR), Present Worth develop insights on how it drives
Chemical Engineering (PW), and Annual Equivalent (AE) value for the society in virtually
approaches; breakeven and payback all sectors including business,
Credit Hours: 3 analysis; inflation, depreciation, healthcare, education, engineering,
Prerequisite: None replacement and cost-benefit and governance. The course
An introduction to the chemical analysis, enabling students to covers basic AI concepts and
engineering profession, its history, make suitable decisions in their terminologies, applications, tools,
and its career-enabling potential. professional life when they have to and performance evaluation in an
The course contains selected make a decision on an economical accessible way to a wide range of
topics, plant visits, and alumni basis. This course studies economy audiences. Students are introduced
seminars covering the full range concepts for engineers such as: to supervised learning including
of career opportunities from Interest and money-time relationship, classification and regression, deep
emerging areas (nanotechnology, depreciation, basic concepts and learning, unsupervised learning, and
biochemical, multifunctional methods for economic analyses and reinforcement learning. They are also
materials) to those found in the related studies, decision analysis, trained on using simple yet powerful
more traditional positions within selection between alternatives AI tools to empower their creativity
the chemical, petrochemical, and and replacement problems and and innovation in problem solving, AI
petroleum industries. Further, applications related to various strategy design, process automation,
introduction of computational tools construction projects. Ethical and and cost reduction, and thus add
Excel and MATLAP in programming other non-economic issues related to value to their future employers. This
environment. professional economic decisions are is done through a practical course
discussed. component designed to allow
CSC 201 - Structured students to build simple data-driven
Programming COE 202 - Engineering Economy, AI using Excel. The data used in
Ethics and Law these laboratories is collected from
Credit Hours: 3 different domains such as health,
Prerequisite: MTT 101 or higher Credit Hours: 3 environmental science, business, and
Prerequisite: ENG 200 + MTT 102
The main objective of this course is to engineering.
provide students with the logic and This course articulates an ethical
tools required to develop scientific framework for engineers by
software programs in MATLAB. critically reflecting on engineering
MATLAB is a matrix-based language practice and examining the ethical Major Requirements
that is commonly used for scientific challenges that confront engineers,
and engineering computing. MATLAB especially those working within
has a rich set of toolboxes for a wide large organizations. This course
range of applications in science considers issues such as the social CHE 206 - General Chemistry II
and engineering. The material for responsibility of engineers, truth- Credit Hours: 3
this course includes: Introduction telling and disclosure, whistle- Prerequisite: CHE 205
to MATLAB Programming concepts, blowing, professionalism, and This higher course of chemistry
Control Structures (loops and risk-assessment. Through case study,
conditions), Functions, Arrays and this course will provide the tools to is a continuation of CHE 205 and
introduces the principles of chemistry
Object-Oriented programming. evaluate ethical decisions in the field including; elements, compounds
COE 102 - Introductory Big Data of engineering. and their configuration, geometry,
Analytics COE 101 - Introductory Artificial chemical reactions, balancing
Intelligence chemical equations, stoichiometry,
Credit Hours: 3 and other major principles of
Prerequisite: STT 100 Credit Hours: 3 organic and in-organic substances.
This course gives students a Prerequisite: STT 100 Laws and applications will also be
described in this course. This course
working knowledge of making This course introduces students to

Abu Dhabi University | Undergraduate Catalog 2024 - 2025