Page 450 - Undergraduate Catalog 2024-25

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comparable capability. To accomplish idea about the basic definitions of COE 202 - Engineering Ethics,
this, each laboratory station is chemistry, chemical interactions and Economy, and Law
equipped with a PC and required laws, and characteristics of mater.
software. Also, it reviews important algebraic Credit Hours: 3
concepts and introduces the use of Prerequisite: ENG 200 + MTT 102

Experiments will be performed these concepts in chemistry.
as shown in the lab syllabus. All “This course integrates two
labs will include an introductory CHE 201L - Chemistry Lab interrelated general engineering
lecture followed by completion of disciplines, namely: ethics and
the laboratory assignment. Before Credit Hour: 1 economy. In the first part of the
students leave the lab, they must Co-requisite: CHE 205 course, the students are introduced
request the instructor s review of This course introduces the principles to ethical issues that practicing
their data and sign it. Signed raw and concepts of chemistry with the engineers may face in their
data sheets must be attached to emphasis on laboratory skills and professional practice. This includes a
reports when they are submitted. practical hands-on experiences for discussion of the code of ethics and
Student cannot receive a lab report the students. This course will have responsibility of engineers, ethical
grade without an original raw data laboratory experiments, simulated theories, ethical problems-solving
sheet signed by their instructor. experiments, demonstrations and methods, and case studies based
CSC 201 - Computer group activities for the students that on real events that illustrate the
problems faced by engineers. The
Programming I illustrate the principles and concepts case studies also show the effects of
for the course CHE 205.
Credit Hours: 3 engineering decisions on society.
Prerequisite: MTT 101 or Higher COE 101 - Introductory Artificial The second part of the course gives
Intelligence students a working knowledge
The main objective of this course is to on making economic comparison
provide students with the logic and Credit Hours: 3 of investment alternatives in
tools required to develop scientific Prerequisite: STT 100 engineering project environment.
software programs in MATLAB. This includes description of the
MATLAB is a matrix based language This course builds on the concepts interest and time value of money
that is commonly used for scientific and skills acquired in STT100 General relationships, methods of comparing
and engineering computing. MATLAB Statistics. It introduces students alternatives using economic concepts
has a rich set of toolboxes for a wide to concepts, techniques, and such as: the rate-of return (ROR), the
range of applications in science applications of Artificial Intelligence. present worth (PW), the future worth
and engineering. The material for Topics covered include Artificial (FW), the annual equivalent (AE),
this course includes: Introduction Intelligence Termonologies, Data cost-benefit analysis and breakeven
to Matlab Programming concepts, Preprocessing, Supervised Learning and payback analysis. Other topics
Control Structures (loops and ( e.g., Regression and Classification), include replacement analysis,
conditions), Functions, Arrays and AI Performance Evaluation and Bias, inflation and depreciation. The course
Object-Oriented programming. Neural Networks, Convolutional enables students to make suitable
Neural Networks, Clustering,
CHE 205 - General Chemistry I Reinforcement Learning, Ethics in AI decisions in their professional life
when they have to make a decision
Credit Hours: 3 and AI Strategy. Students connect on ethical and economical basis.”
theoretical concepts learned in the
Co-requisite: ENG 200 (Co)/ENG 100 (Co)
course to practice using hands-on
Chemistry is the study of matter and laboratory experiences covering
interactions. This course introduces data preprocessing, performance Major Requirements
the principles of chemistry including; evaluation, cross-validation, and
elements and their symbols, the neural networks. The course has a
periodic table, names and formulas project. In this project, students work EEN 210 - Digital Circuits
of compounds, chemical reactions, teams using Excel and AI-Training
balancing chemical equations, Software to design a classification Credit Hours: 3
stoichiometry, and other major model and communicate their Prerequisite: ECS100
principles of organic and in-organic experience using presentations and This course builds on the concepts
substances. Laws and applications reports.
will also be described in this course. and skills acquired in ECS100
This course gives the students a full Introduction to Engineering
and Computing. It introduces

Abu Dhabi University | Undergraduate Catalog 2024 - 2025