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Instruct: your are an UAEU student Assitance Answer this question
Machine Learning or CSBP 411
Output:
This course introduces the fundamental concepts of machine learning. Topics include extracting and identifying useful features that best represent the data. Pre-processing methods such as replacing missing entries, feature selection, discretization and popular supervised and unsupervised learning algorithms such as linear regression, decision trees, k-nearest neighbor, Bayesian learning, support vector machines, neural networks and k-means are also covered in the course. Topics related to evaluating what is learned include evaluation strategies, cross-validation, Leave-one-out, Bootstrap prediction probabilities. Applications covered in the course include text and web mining, document classification, bioinformatics. The course is accompanied by hands-on problem solving using some of the popular machine learning toolboxes and programming languages. |
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Robotics & Intelligent Systems or CSBP 476
Output:
This course provides students with a working knowledge of methods for design and analysis of robotic and intelligent systems. Particular attention is given to modeling dynamic autonomous robot systems, measuring and controlling their behavior, and making decisions about future actions. The objective of this course is to provide the basic concepts and algorithms required to develop intelligent robots that act in complex environments. The intent is to motivate and prepare students to conduct research projects in the field of robotics and intelligent systems. |
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Applied Computer Vision or CSBP 441
Output:
Computer Vision is a key element in many products such as cameras, medical image processing and diagnosis, and home and industrial robotics. This course covers the fundamentals of computer vision, simple pattern recognition techniques for face recognition and optical character recognition (OpenCV), image labeling techniques, and simultaneous localization and mapping navigation systems (SLAM) for navigation of autonomous vehicles. |
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Senior Graduation Project 2 or ITBP 481
Output:
Students work in teams under the supervision of a faculty member on the implementation, testing and analysis of the results of a project based on the design and schedule completed by the same group of students during the ITBP 480 course (Pre-requisite ITBP 480) |
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Mobile Web Content & Dev or CSBP 483
Output:
This course introduces students to the basics of contemporary mobile application development. The main requirement of the course is to build a functioning application on smart devices. Students explore mobile architecture and environment setup. Students learn different components, views, and controls that comprise UI, as well as, UI layout, constraints, and event handlers. The course covers extended/advanced topics that include data access, data binding, and SQLight. The course is project oriented in which students must finish and demonstrate a working web application. Code design and architecture are emphasized. |
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Web App Development Lab or ITBP 321
Output:
The objective of this lab is to provide a hands-on approach to the creation of a Web based application while ensuring the participants are involved in the different stages of a software project lifecycle. The lab formally introduces the fundamentals of using SQL to create a database back-end and tie it to a Web front-end using HTML, JSP and Servlets. The lab also includes a project where students use the acquired Web development knowledge to design and implement a functional Web application. Students work in teams to collaborate in developing the assigned software project |
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Web and Mobile Systems or ITBP 322
Output:
This course introduces the concepts, practices, and technologies to design, develop, and manage web and mobile applications. It covers different technologies related to the Web such as HTML5, Cascade Style Sheets (CSS), and Java Script Pages (JSP). The course establishes mobile development foundation, which includes mobile layouts, handlers, and views. It also covers Mobile Development and relevant Internet development approaches and architectures such as Model-View-Controller (MVC), relational databases and restful services. Students develop web/mobile-enabled databases in project-based assignments |
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Comp Intelligence for Data Mng or CSBP 491
Output:
This course provides students advanced knowledge on computational intelligence methods related to various aspects of data analysis. Rather than treating computational intelligence and data analysis separately, the course allows students to examine the integration of these two disciplines. The emphasis is on how to apply computational intelligence methods to various data analysis aspects. |
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Data Mining or CSBP 320
Output:
This course introduces the concepts, issues, tasks and techniques of data mining process. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, and sequence mining, and data mining applications. The course mainly focuses on data mining issues such as data selection and cleaning, machine learning techniques to ``learn' knowledge that is ``hidden' in data, and the reporting and visualization of the resulting knowledge. The course illustrates data mining process by examples of practical applications from the life sciences, computer science, and commerce. Several machine learning topics including classification, prediction, and clustering will be covered. |
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Privacy and Anonymity or ISEC 411
Output:
This course prepares students to recognize, analyze, and manage privacy challenges. Students learn concepts and methods for creating technologies and related policies with provable guarantees of privacy protection. Students will draw on work from data mining, information retrieval, web technology, computer security, cryptography, relational databases, statistics and political philosophy. Students are not expected to have these backgrounds; relevant material is introduced as needed. Main topics include: Privacy concepts and challenges, policies, and regulations; identity, anonymity and confidentiality; private data analysis and database sanitization; privacy-preserving data mining techniques including k-anonymity and secure function evaluation, and finally, some case studies from different domains are presented. |
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Internship or ITBP 495
Output:
Students are required to spend one full semester as interns in an approved internship program. The internship provides students with practical experience, which allows them to integrate theory with ?real world? situations. During the internship students work under the supervision of a qualified professional in industry or government fulfill various assignments to acquire first-hand knowledge of a working environment. In addition to this professional supervision, each student is assigned an academic advisor to ensure that an appropriate level of support from and contact with the university is given to the student during the training period. Students are required to write a final formal report, that documents and details the technical aspects of the work undertaken during their internship, and give a final presentation at the end of the internship period |
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Entrepreneurship in Information Technology or ITBP418
Output:
This course discusses starting-up a new Information Technology (IT) venture; Identifying IT venture opportunities; Drafting an agenda for a successful IT venture; Risks and returns management; Business planning; Operational planning; Organizational development and management; Financing entrepreneurial ventures. |
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Introduction to Academic English for Information Technology I or ESPU1081
Output:
The aim of this mobile-learning enhanced course is to introduce students to conventions of academic English with respect to reading, writing and oral communication skills. Academic reading and writing skills are developed through the reading of disciplinary academic texts, the study of academic essay models and the writing of short academic texts based on research. Academic oral communication skills are developed with particular reference to the effective preparation and delivery of an academic presentation. The correct use of paraphrasing and APA citation are also taught and used throughout. |
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Calculus I or MATH105
Output:
Elementary functions, limits, continuity, limits involving infinity, tangent lines, derivative of elementary functions, differentiation rules, chain rule, implicit differentiation, linear approximation, l'Hospital rule. Graph sketching (extrema, intervals of monotonicity, concavity), optimization. Antiderivatives, definite integrals, Fundamental Theorem of Calculus, integration by substitution, area between curves, improper integrals. |
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Emirates Studies or GEEM105
Output:
This course addresses the most critical aspects of the United Arab Emirates by introducing students to the features of Emirati society's economic and social development, affirming its basic values and legacies, and providing studies in fundamental areas related to the Emirates' history, geography, internal and external policies, social systems, social and human development, demographics, the role of the Emirati citizen in development, the women's empowerment and their role in society, the country's focus on sustainable energy, economic advancements, and development indicators, and the UAE's worldwide competitiveness. The course also covers the federal government's and future concerns about strategic development plans and the obstacles they confront. |
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Biography of the Prophet "Sira" or GEIS101
Output:
This course introduces the Prophet's biography "Sira", the importance of studying it, its aspects and sources, analyzing its various stages, drawing lessons, sermons, rulings, and highlighting its human and universal values. |
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Basic Biology I or BIOC100
Output:
This course aims at developing the basic concepts that form the crux of life from both structural and functional perspectives. It includes cellular functioning and organization and the transformation of energy. It also introduces the student to the continuity of life from genetic and molecular perspectives. |
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General Chemistry I or CHEM111
Output:
Matter and measurement. Atoms, molecules and ions. Chemical stoichiometry. Acids-Bases and oxidation-reduction reactions. Oxidation numbers and the balancing of equations. The electronic structure of atoms and the periodic table of elements. Periodic properties of the elements. Basic concepts of chemical bonding and molecular geometry. Gases. Intermolecular forces. Solubility and Concentration units. |
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Data Analytics or ITBP420
Output:
This course will introduce the students to the main tools and ideas of data analytics. The course will give an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge, which includes exploratory data analysis, statistical inference, regression models, and overview of machine learning. The second is a practical introduction to the tools that will be used in the program like R, and RStudio |
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Big Data Analytics or ITBP421
Output:
This course will enrich knowledge of data science by understanding the challenges of Big Data in Analytics. It will introduce the core concepts behind big data problems, applications, and systems. It will provide an introduction to one of the most common frameworks, Hadoop. This course will give an overview architectural components and programming models used for scalable big data analysis. It will also introduce concepts of big data management systems and machine learning with big data. |
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Mobile Computing or ITBP430
Output:
Mobile computing devices have become omnipresent in our daily activities. This course will introduce students to mobile computing and mobile application development. Mobile computing will be discussed from three perspectives: mobile technology, application development, and user interaction. The course will first overview various mobile computing applications, technologies and wireless communication. Next, students will be introduced to and use mobile application frameworks and development environments. User interface and user experience will be discussed and application development guidelines from various vendors will be discussed and analyzed. Students will be expected to learn at least one mobile application development framework and use it to implement their assignments and course project. |
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Network Security I or ISEC311
Output:
This course provides the basic fundamental theoretical concepts of network traffic and services filtering. In addition, this course provides concepts of stateless and stateful firewalls. Topics include: TCP/IP protocols, network packet filtering, common Internet services (HTTP, FTP, SMTP, POP3, DNS, etc.) filtering, stateless and stateful firewalls, firewall filtering rules consistency and efficiency verification, VPNs, secure network architectures, network attacks on firewalls. |
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Network Security II or ISEC321
Output:
This course covers basic fundamental theoretical concepts, mechanisms and techniques for network intrusion detection and prevention both in wired and wireless networks. In addition, the course provides students with hands-on skills on configuring intrusion prevention systems (IPS) as well as on generating common network attacks. Topics covered include: overview on network attack types, attack signatures generation, denial of services (DoS) attacks, distributed DoS attacks, buffer overflow attack, Man-in-the-Middle attacks, ARP cache poisoning attacks, common mobile and wireless network attacks, IP spoofing based attacks, sniffing attacks, covert channels, steganography, operating systems fingerprinting, system and network vulnerability assessment. |
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Cryptography or ISEC312
Output:
The students in this course will be introduced to various encryption techniques and their applications. The main encryption techniques the students will learn and apply in this course are Symmetric encryption, Public-key encryption, and hash functions. These techniques will be used for digital signatures, certificate generation and verification. The performance of the various encryption techniques used will be analyzed based on certain criteria and design needs. |
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Design and Analysis of Security Protocols or ISEC322
Output:
This course provides the students with the necessary knowledge in the design, analysis, and evaluation of various security protocols and mechanisms, including but not limited to: basic symmetric and asymmetric cryptography protocols, SSL/TLS, WEP/WPA, IPSec, S/MIME, PGP, SSH, X.509 and Kerberos. A security protocol may fail in three ways: the protocol design may be flawed, the cryptography may be inadequate, or the implementation may be buggy. This course focuses on discussing the pros and cons of various security trade-offs involved in the design of internet protocols, identifies and describes vulnerabilities associated with such protocols, and describes the mitigations for these vulnerabilities. |
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Secure Software Design and Engineering or ISEC323
Output:
This course takes a close look at software as a mechanism for attack, as a tool for protecting resources, and as a resource to be defended. The course covers how poor software design and engineering can be the root causes of most security vulnerabilities in deployed systems, web technologies and digital rights management. Topics covered include: secure software design and development process, common software and web vulnerabilities such as buffer overflows and cross site scripting, program and code auditing and analysis using static, dynamic, and hybrid analysis, software watermarking and code obfuscation, and software testing for vulnerability. |
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Cryptography Lab or ISEC324
Output:
This laboratory course provides hands-on experience that covers the concepts of symmetric and asymmetric cryptographic algorithms, hash functions, and its real-world security applications. Main topics include: classical cryptography, encryption algorithms including DES, RC4, AES and RSA, Diffie-Hellman key exchange, hash functions, cryptographic-based security protocols including SSL, SSH, PGP, and IPSec. |
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Digital Forensics or ISEC412
Output:
This course is designed to equip students with the skills needed to safely locate and secure computer evidence at the search site as well as to conduct subsequent off-site analysis. The course aims to equip future Forensics Investigators and Lawful Enforcement Offices with sufficient knowledge on conducting investigation on Internet based or Cyber based crime. It provides knowledge on implementing the right solution for collecting, analyzing, correlating the Internet data and report them as valid and legal evidence in the court. Topics include evidence handling and disk imaging (restore evidence drive, system backup imaging), DOS/Windows forensics utilities (DOS analysis tools, Access Data’s forensics tool kit, Xway’s WinHex Disk Editor), hidden data and encryption, steganography, covert channel, erased file recovery, Internet investigations, Hacker profile analysis, and Email header analysis. |
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Security Architecture and Mechanisms or ISEC413
Output:
This course is intended to provide students with an understanding of the OM-AM framework, security architectures and mechanisms, system security infrastructures, access control multilevel security models, and biometric authentication and authorization architecture models. Also, the course provides analysis and evaluation of the security related functions of various systems including: monitoring systems, telecommunication systems, smart grid systems, and physical tamper resistant and proof systems. |
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Network Security Lab or ISEC414
Output:
This laboratory course provides hands-on experience that covers a broad spectrum of state-of-the-art network security practical solutions, their implementation details, verification steps, and testing procedures. Main topics include: security features of network devices such as routers and switches; authentication, authorization, and auditing models; best practices of access control security policies; stateful and application firewalls; intrusion detection, prevention, and response systems; network threats and attacks. |
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Risk Analysis and Management or ISEC421
Output:
This course provides students with an introduction to the field of information security risk assessment. Students will learn how to design systems that are secure, how to measure risk, and how to ensure that proper levels of security are maintained for individual technology users, businesses, government, and other organizations. This course will cover different approaches for risk assessment and risk mitigation. Students will learn how to apply NIST standards in conducting risk assessments. The course will incorporate cases in risk analysis derived from actual state and law enforcement agencies or private firms. Students will learn how to use a risk analysis matrix for performing both quantitative and qualitative risk analysis. As a part of the course, students learn the different threats that they need to incorporate in their risk analysis matrices. Course topics include: Threat Vulnerability Analysis (TVA), Risk Management Identification and Assessment, Strategies (Avoidance, Transference, Mitigation, Acceptance), Counter-Measures, Cyber Warfare (Technical and People), Vulnerability Testing and Penetration Testing, Contingency Planning (Business Impact Analysis, Disaster Recover, Business Continuity), SETA: Security, Education, Training and Awareness Initiatives, Cost Benefit Analysis of Info Security investments |
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Security Policy, Laws, and Governance or ISEC422
Output:
This course provides students with an introduction to information security policies and standards, as per the ISO/IEC 27001-2013 guidelines. In this course, students will be introduced to sociological and legal issues in policy implementation in general (such as Sarbanes Oxley, HIPAA, Gramm, Leach, Bliley Act, etc.) and will be provided with a focused dialogue on information security specific policies. The course also discusses the entire lifecycle of policy creation and enactment and presents students with issues specific policies in different domains of security. The structure of policy is also discussed to assist the students in the design and modification of policies. Moreover, Students will learn how to allocate the appropriate security techniques needed to satisfy a specific security policy. Several examples from different domains are incorporated in the curriculum to assist students to learn in context of real life situations |
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Systems Security Lab or ISEC423
Output:
This laboratory course provides practical training and hands-on experience on the basic Computer Systems Security concepts as it pertains to the logical and physical security. It will expose the students to various security principles of trusted computing bases. Main topics include Operating System Security, Access Control Models, Password Cracking, Computer Viruses, Windows Registry Hacks, Computer Viruses, Web Security, Biometrics Solutions, and Digital Forensics. |
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Information Security Management or ISEC416
Output:
This course will cover a variety of topics to develop students’ skills in information security management. The course examines the fundamental principles of computer security management as applied to information technology. Course topics include: Security Management Practices: Business Continuity Planning (BCP), Disaster Recovery Planning (DRP), Law, Investigations, and Ethics. Business Needs: Commercial and legal implications. Introduction to ISMS standards: History, development, current situation. Certification: process and maintenance. Accreditation: Current developments, options, designing and implementing a management system. Policy and risk assessment: Statement of applicability, risk management, critical success factors, auditing. |
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Database Security or ISEC417
Output:
This course is concerned with the study of principles and practices of implementing computer database security. The course discusses the following security features of the database: database security principles, database auditing, security implementation and database reliability, database enumeration (authenticated and unauthenticated), identifying database vulnerabilities, exploiting flaws to gain control, developing an assessment methodology, database assessment flag challenge, and virtual private database. The course provides also suggested architectures for common security problems. Students will learn how to secure their database and how to use the database features that enhance security. The student will be provided with the tools, techniques and industry accepted methodologies so that upon completion of the course the student will be able to describe key concepts of database security and how to apply those concepts to securing database management systems within their organizations. |
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Hardware-Oriented Security and Trust or ISEC424
Output:
This course will investigate recent technology developments for the design and evaluation of secure and trustworthy hardware. It also teaches the concepts of tamper-proof, tamper-resistance, and trusted platform modules. Topics covered mainly include: Smart cards, RFIDs, cryptographic processor and processing overhead analysis, physical and invasive attacks, side-channel attacks, physically unclonable functions, hardware-based true random number generators, watermarking of Intellectual Property (IP) blocks, FPGA security, passive and active metering for prevention of piracy, access control, hardware Trojan detection and isolation |
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Special Topics in Information Security or ISEC428
Output:
The course focuses on selected topics pertained to current information security solutions and methodologies. The course represents an in-depth approach to specific areas in information security which are of interest to undergraduate students in the program. It covers topics in computer, network, and systems security and privacy which are not covered as part of required courses. Students will learn to apply existing security techniques and methodologies to emerging systems and networks, derive and enumerate best practices for the selected topics and evaluate chosen security schemes. |
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Circuits Lab or CENG231
Output:
This course consists of a set of laboratory experiments designed to provide students with hands-on experience in electrical and electronic circuits. Students will learn how to design, simulate, hardware implementation and take measurement on basic AC and DC circuits including electronic components such as BJT and op-amp circuits. Students will become familiar with circuit simulation, safety and grounding considerations and instrumentation. They will also gain hands-on experience on how to use oscilloscopes, signal sources, multimeters, and signal analyzers. |
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Electronics Fundamentals or PHYS231
Output:
A review of the basic concepts of direct current circuits, and the fundamental laws of alternating current circuits. The effects of resistance, inductance, and capacitance in AC circuits are analyzed. The course discusses the principals of semiconductor materials followed by thorough analysis of semiconductor-based devices such as diodes, bipolar junction transistors, field-effect transistors, and operational amplifiers. The course emphasizes on structure, operation, biasing, and applications up to digital control. In addition to the theoretical part of the course, hands on experiments on electronic devices and their applications are implemented in the course to provide experimental skills and enhance comprehension of the theoretical material. |
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Digital Design lab or CENG325
Output:
This lab provides intensive hand-on experiments in digital circuits design and implementation using Verilog as an HDL language. In this lab students will learn the full custom design process using Verilog structural modeling, and Verilog behavioral and logic synthesis. This lab covers the design of both combinational and sequential logic circuits, simulation tools will be used to simulate and debug designs. FPGA boards will be used for implementing simulated error-free design |
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Signals and Systems I or CENG320
Output:
This course introduces students to continuous-time and discrete-time signals and systems. The course covers linear time invariant (LTI) systems in terms of system properties, convolution sum, and convolution integral representations. LTI systems are also described using differential and difference equations. Throughout this course, topics such as Fourier series, Fourier transform and Laplace Transform will be discussed in detail. All signals and systems manipulations will be done through MATLAB. |
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Introduction to Embedded Systems or CENG328
Output:
This course covers various aspects of embedded system design using micro-controllers. Equipped with the CPU design background from the prerequisite course, in this course, students are expected to comprehend and apply various techniques to build a working embedded system. The topics covered in this course include: mechanism of interfacing peripheral input/output (I/O), timer and Pulse Width Modulation (PWM), analog-digital conversions (ADC and DAC), communication ports, interrupt principles, real-time design issues, and system design methods. In addition to theoretical topics, this course also fosters students’ hands-on and communication skills by working on cutting-edge embedded prototype devices through group projects. |
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Linear Algebra I or MATH140
Output:
Systems of linear equations, matrices and determinants. Vector spaces, inner product spaces. Matrix representations of linear operators. Eigenvalues, eigenvectors, and Cayley-Hamilton Theorem. |
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Ordinary Differential Equations or MATH275
Output:
First order differential equations: examples, separable equations, homogeneous and exact equations, integrating factor and Bernoulli's equation, linear equations, initial value problems. Higher order differential equations: linear equations, linear independence and Wronskian matrices, existence and uniqueness of solutions. Particular solutions: the method of undetermined coefficients, the method of variation of parameters. Laplace transforms and initial value problems. Series solution of differential equations. System of equations and their matrix form. |
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Computer Architecture or CENG221
Output:
The course covers primary building blocks of general-purpose computing systems. The course topics include MIPS Instruction Set Architecture and corresponding assembly language. Other covered topics include: digital building blocks of processor micro-architecture, ALU design, and single-cycle processor design. Memory hierarchy and cache micro-architectures are also covered. Additionally, the students learn how to measure performance and how to improve it using pipe-lining. They also learn the structural optimization for preventing data and control hazards. Overall, the course encompasses the core principles of the classical Von Neumann architecture. |
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Introduction to Embedded Systems Lab or CENG329
Output:
This course consists of laboratory experiments on practical implementation of the microcontroller building blocks including timers, counters, PWM, interrupts, I/O techniques and requirements, A/D and D/A conversion and serial communications. Students will learn how to code control softwarefor I/O devices and use system design process to implement embedded systems. |
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Circuits Fundamentals or CENG201
Output:
This course will introduce students to circuit analysis techniques including nodal analysis, mesh analysis, source transformation, Thevenin's and Norton theorems, and superposition. The course will also cover transient response topics, such as first order RC & RL circuits, step response & time constants, second order RLC circuits, and resonance & quality factor. Phasor representation of sinusoids, impedance & admittance, and circuit analysis using phasors will be also discussed. Average power and RMS values. Finally, operational amplifiers (Op Amp) topics such as ideal Op Amp operation, circuit analysis of Op Amp inverting configuration, applications of inverting configuration, and circuit analysis of Op Amp non-inverting configuration are discussed in detail. |
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Autonomous Systems: Fundamentals and Applications or CENG340
Output:
The objective of this course is to prepare students for the exciting and rapidly developing field of coordination, navigation, and control of autonomous systems. The focus is on the use of software, platforms, and tools required for (semi-)autonomous systems. To work in this area, students will be familiarized with a wide range of topics, including but not limited to robot kinematics, dynamics, state estimation, path planning, and computer vision. The aim of this course is to cover these essential topics, focusing on their application to robots in general and Unmanned Aerial Vehicles (UAVs) in special. The course will be supplemented by a series of lab tasks that will help students simulate different use cases, where they will implement and configure algorithms in a simulation environment on UAVs with the help of Python, MATLAB, and other software tools. Ultimately, students will apply the knowledge they have gained during the course to design and construct an autonomous system. |
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Digital System Design or CENG324
Output:
This course introduces students to hardware design techniques using a Hardware Description Language (HDL). The course covers concepts of designing, modeling, simulating, and synthesizing digital systems at different abstraction levels including structural, data-flow and behavioral levels. It also introduces HDL-based simulations and testing environments for functional verification and debugging. The course also discusses important HDL features, modeling techniques and finite state machine design. |
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Autonomous Systems Lab or CENG341
Output:
This laboratory provides students with a series of hands-on experiments for autonomous systems with a focus on UAVs. The lab will provide hands-on in system integration, tools/platform deployment and testing, and validation. The lab covers configuring the software tools, working with platforms, and designing, building, and programming UAVs. A series of well-defined lab exercises will enable students to build real-world use-cases with UAVs, providing students with insights into UAV technologies, flight dynamics, autonomous navigation, and applications. |
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Software Engineering Fundamentals or SWEB300
Output:
The course covers the basics of software engineering. It introduces the phases of Software Development Life Cycle (SLC), namely, requirements gathering and analysis, design approaches and modeling, and testing. The course discusses also the main software development models and focuses on the object-oriented paradigm, its concepts, its characteristics, and its design principles. The course concludes with a brief introduction to the wide area of Computer Aided Software Engineering (CASE). |
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General Physics II or PHYS110
Output:
This course aims at developing a clear understanding of the basic physics concepts in electricity and magnetism. It includes: Coulomb’s law, electric fields, Gauss's Law, electric potential, capacitance and dielectrics, resistance, direct current circuits, magnetic fields, electromagnetic induction. |
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General Physics Lab I or PHYS135
Output:
This course aims to Develop a clear understanding of the basic concepts in classical mechanics; Consolidating the manual skill in dealing with laboratory equipment; Developing skills of using computers in analysis of the computer interfaced experiments; It includes: Fine measurements, force table, motion on an inclined plane, verification of newton’s second law, simple pendulum, circular motion. |
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General Physics Lab II or PHYS140
Output:
This course aims to develop a clear understanding of the basic concepts in electricity and magnetism; It includes: Coulomb's Law, equipotential surfaces and electric field lines, Ohm's Law, Kirchhoff's Rules, resistance and resistivity, potentiometer, capacitors, RC time constant, magnetic fields, oscilloscope, electromagnetic induction. |
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Hardware Testing and Fault Tolerance or CENG513
Output:
The course covers fault tolerance and hardware testing techniques for circuits and systems. The course topics include: reliability, faults and fault models, and metrics such as availability, mean time to failure (MTTF) and mean time between failures (MTBF). The students learn how to derive reliability using reliability block diagrams and Markov chains. The other covered topics are: error detection and correction in digital circuits and systems. The students also learn the techniques for testing digital circuits, for example, built-in self-testing (BIST). |
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Hardware/Software Integration or CENG521
Output:
This course takes the knowledge from a number of prerequisite courses and integrates them into the basis of a hardware and software co-designed embedded systems. The topics covered in this course include: concept of hardware and software, application modeling and analysis, hardware/software communication, performance and trade-offs, state-of-the-art System-on-Chip (SoC), and interfacing and on-chip buses. Hardware implementation techniques using HDL are employed to demonstrate the taught concepts. |
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Wireless Communication and Sensor Networks or CENG531
Output:
The objective of this course is to give an introduction to the fundamentals of wireless and mobile communications. The course will cover topics such as RF spectrum, transmission fundamentals, principles of radio communication systems, signal encoding and modulation techniques. It will also cover wireless network architectures, technologies, protocols, and applications. The course will introduce topics related to wireless sensor networks (WSNs) such as WSN architecture and design, routing and transport layer techniques. |
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Network Security or CENG532
Output:
This course introduces students to the principles of network security with emphasis on network security architectures and mechanisms. Students will learn about network security threats and their countermeasures, types of firewalls, and firewall implementations. The course also covers concepts in Virtual Private Networks and Web security, including IPSEC, L2TP, SSL and SET protocols. |
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Advanced Network Services or CENG533
Output:
Converged network technologies for voice, video and data with emphasis on application layer VoIP protocols (H.323 and SIP); Media gateway controller protocols (MGCP) and the transport of VoIP, and RTP/RTCP; Further topics include:- quality of service (QoS) issues and dimensioning a VoIP network, MPLS, design of VoIP networks, and voice compression standards (G.721, G.729). |
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Selected Topics in Computer Engineering or CENG580
Output:
Special topics in computer engineering is a unique course, which covers advanced and emerging topics of special interest to undergraduates. The topics are selected from recent developments and trends in computer engineering. The course may introduce new or emerging aspects in the field, contemporary applications and theory in computer engineering, or assesses the state-of-the-art through readings, discussions, and critiquing current literature. (Pre-requisites: Senior standing) |
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Distributed Computing and Data Engineering or CENG400
Output:
This course provides students with a comprehensive introduction to distributed data engineering and data streaming concepts, distributed platforms, distributed data acquisition, and distributed computation models. It covers essential distributed computing technologies and platforms such as Databricks, Sparks, Hadoop, and MapReduce. Students will gain hands-on experience with popular software libraries for distributed data acquisition, crawling, processing, and learning. The curriculum encompasses data modeling, visualization, and the application of scalable machine learning algorithms to big data. By exploring topics like social network analysis and big data foundations, students will develop a profound understanding of modern-day distributed computing and the integral roles played by Data Engineers, Data Scientists, and Data Analysts in this evolving ecosystem. |
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Distributed Systems, Microservices and Containers or CENG410
Output:
Distributed systems and distributed computing provide infrastructure for developing and enabling widely demanded and highly scalable applications from anywhere. Microservices and containerization are widely used approaches to building maintainable, scalable, distributed cloud-based applications that can be deployed and managed in a distributed and independent way. This is a comprehensive course designed to equip students with the knowledge and hands-on skills needed to architect, develop, and deploy microservices-based applications using containers. Through a combination of theory, practical exercises, and real-world projects, students will gain expertise in building and managing scalable and resilient microservices architecture. |
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System Design, Analysis and Simulation or CENG420
Output:
The course provides an overview of the basic concepts, methodologies, models, and tools needed to fully understand the full life-cycle of system design, analysis and development. This understanding is then used to derive a validated set of requirements and select, among alternatives, a design solution that satisfies the system's goals and objectives. The course will explore the use of fundamental statistical methods and the use of modeling and simulation approaches, including data acquisition, analysis and validation, to design and analyze systems and gain a deep understanding of their dynamics, robustness and reliability. A key objective is to demonstrate how different modeling and simulation approaches and tools can be used to assess system performance and validate adherence to system specifications. The application of these skills to solving real-world system engineering problems is emphasized in the lab and course projects. |
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Applied AI for Computer Engineering or CENG430
Output:
The course is designed to equip students with practical knowledge in applying AI and ML techniques specifically within the field of computer engineering. It offers a comprehensive grasp of AI principles, techniques, and applications tailored to computer engineering. Topics covered encompass fundamental AI concepts, machine learning, deep learning, reinforcement learning, and generative AI. The course places significant emphasis on hands-on experience with cutting-edge ML platforms, training libraries, inferencing services, monitoring, drift detection, reproducibility, and pipeline orchestration, all with a focus on deploying ML solutions effectively within computer engineering contexts. |
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Machine Learning for Embedded Systems or CENG440
Output:
This course focuses on resource-constrained devices and introduces techniques and strategies for developing energy/time-efficient Machine Learning algorithms and models for embedded systems. Topics that are covered include Commonly used machine learning methods for embedded systems, model compression techniques on hardware platforms, hardware-aware machine learning, implementation and deployment of machine learning algorithms and models on embedded devices. This course also fosters students’ hands-on skills development experience through team-based projects and presentations. |
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Modeling & Simulation or CSBP400
Output:
Introduction to system modeling and decision-making using computer simulation; Discrete-event simulation and popular modeling paradigms; Continuous and hybrid simulations: Input modeling, Output analysis and random numbers; Application areas and tools for simulation. |
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Smart Computer Graphics or CSBP421
Output:
This course covers fundamental techniques in computer graphics and mathematical foundations. Topics include graphic tools, geometric transformations, basic and advanced rendering techniques, computer animation in film, gaming and simulation. |
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Internet Computing or CSBP461
Output:
The Internet is increasingly used as a large interconnection network for deploying distributed applications to solve challenging problems in diverse areas. This course covers the basic principles and practices of Web application development (client-side and server-side programming) and distributed computing over the Internet. It focuses on the Internet as a domain for sharing resources using distributed computing with client/server programming, Web services and Service-Oriented Computing. In this course students will learn the basic foundations of Internet computing and use Web technologies (HTML, HTTP, XML, Java Servlets Java Server Pages, and Web services) to develop Internet-based applications. |
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Analysis of Algorithms or SWEB450
Output:
Asymptotic analysis of upper and average complexity bounds; Identifying differences among best, average, and worst case behaviors; Big oh, little oh, omega, and theta notation; Standard complexity classes; Empirical measurements of performance; Time and space trade-offs in algorithms; Using recurrence relations to analyze recursive algorithms; Algorithmic strategies including brute-force, greedy, divide-and-conquer, backtracking, branch-and-bound, and pattern matching; Introduction to P and NP. |
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Bioinformatics or CSBP431
Output:
Overview of molecular biology as related to bioinformatics. Bioinformatics and the relationship between computer science and biology in the field of bioinformatics. Algorithms in general and specifically those often used in bioinformatics. Computing tools used in bioinformatics. Databases available for bioinformatics work. Scientific method and how bioinformatics applications apply. Models of successful collaborations between biologists and computer scientists. Computational models of biological processes and their role in scientific discovery. |
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Computer Animation and Visualization or CSBP487
Output:
This course will cover advanced topics in computer graphics. The emphasis will be on scientific visualization, animation, procedural modeling, and procedural texturing by using industry standard tools and methodologies. |
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Special Topics in Computer Science or CSBP499
Output:
Special topics in Computer Science is a unique course. The topics are selected from recent developments and trends in Computer Science. The course may introduce new or emerging aspects in the field, contemporary applications and theory in computer science, or assesses the state-of-the-art through readings, discussions, and critiquing current literature. |
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Game Development or SWEB451
Output:
Theoretical and practical issues in the development of video games; fundamental elements of game development; game history and genres; game analysis; game architecture; game engine evaluation; game worlds and their dimensions; character archetypes; character behavior and animation; intelligent behavior; logical and physical game laws; societal and cultural issues. |
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Natural Language Processing or CSBP477
Output:
This course introduces the concepts of text analysis and statistical Natural Language Processing (NLP) with a focus on practical applications. Topics include basic text processing, language models, natural language generation, text classification, sentiment analysis, part-of-speech tagging, parsing, vector semantics, and Information extraction. The course combines NLP theory with hands-on applications using Python toolkits. |
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Introduction to Data Science or CSBP 224
Output:
The course is an introductory overview of methodologies, processes and tools for working with data. Topics to be covered are introduction to management of a data science project, preparation of data, modeling data, evaluation of a model, building a data pipeline, the three types of analytics: descriptive, predictive and prescriptive; as well as business intelligence fundamentals. Professional skills, such as communication, presentation, and storytelling with data, are also covered. Students will acquire a working knowledge of data science through hands-on projects and case studies in various domains. Bias in training data, bias in AI and current collaborative data science working methodologies and tools are also highlighted. |
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Why does the course still appear to be full even though my capacity raise got approved?
Output:
The course you have been approved for a capacity raise will appear full, but you will be able to register for it with no restrictions. |
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I got approved for a capacity raise, but the course still shows as full. What should I do?
Output:
The course you have been approved for a capacity raise will appear full, but you will be able to register for it with no restrictions. |
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What exactly does a study load mean?
Output:
A study load refers to the total number of credit hours that a student is allowed to register for during one semester. |
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Could you explain what a study load is?
Output:
A study load is the total number of credit hours that a student is allowed to register for during one semester. |
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Can you tell me what a course load is?
Output:
A course load is the total number of credit hours that a student is allowed to register for during one semester. |
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What is a course load, exactly?
Output:
A course load is the total number of credit hours that a student is allowed to register for during one semester. |
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Even though my course override request got approved, the course still appears to be full. Why is that?
Output:
The course you have been approved for a capacity raise will appear full, but you will be able to register for it with no restrictions. |
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My course override request was approved, but the course still seems full. Why is this happening?
Output:
The course you have been approved for a capacity raise will appear full, but you will be able to register for it with no restrictions. |
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When does the registration system open?
Output:
The registration system is available for students to use from 8am to 12am during the registration period. However, these timings are subject to change, so it is advisable to check the registration schedule on the university's website. |
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What are the opening hours for the registration system?
Output:
The registration system is available from 8am to 12am during the registration period. Please note that these hours may change, so it's best to check the registration schedule on the university's website for the most up-to-date information. |
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Is it possible to extend the registration period?
Output:
No, the registration period cannot be extended. However, you can continue registering during the add/drop period. |
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Can the registration period be prolonged?
Output:
No, the registration period cannot be extended. However, you can continue registering during the add/drop period. |
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Is there a possibility of extending the add/drop period?
Output:
Sometimes, the add/drop period is extended for a few days. During this time, students who have registered for less than 12 hours can continue to make changes to their schedule. It is recommended to finalize your registration before this period ends. |
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Can the add/drop period be extended?
Output:
Yes, sometimes the add/drop period is extended for a few days. During this time, students who have registered for less than 12 hours can continue to make changes to their schedule. However, it is encouraged to finalize your registration before the deadline and seek help from the advising unit if needed. |
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How can I register for mixed classes?
Output:
To register for mixed classes, students need to obtain parental approval. The student's parent must fill out a "no objection" form and attach official documents to approve the student's seat in a mixed class. |
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What is the process for registering for mixed classes?
Output:
To register for mixed classes, students need to obtain parental approval. The student's parent must fill out a "no objection" form and attach official documents to approve the student's seat in a mixed class. |
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What steps should I take to register for mixed classes?
Output:
To register for mixed classes, you need to get parental approval. Your parent must fill out a "no objection" form and attach official documents for you to be approved for a seat in a mixed class. |
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How do I enroll in mixed classes?
Output:
To enroll in mixed classes, you need to obtain parental approval. Your parent must fill out a "no objection" form and attach official documents to approve your seat in a mixed class. |
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What does it mean when a class is described as mixed?
Output:
A mixed class is a class that includes both male and female students studying together in the same classroom. |
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Can you explain what a mixed class is?
Output:
A mixed class refers to a class where both male and female students study together in the same classroom. |
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When am I eligible to register for Senior Graduation Project 1?
Output:
You can register for the Senior Graduation Project 1 when you have completed 80 credit hours. |
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At what point can I enroll in Senior Graduation Project 1?
Output:
You are eligible to enroll in Senior Graduation Project 1 once you have completed 80 credit hours. |
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I have completed 79 credit hours. Can I register for Senior Graduation Project 1?
Output:
No, you need to have exactly 80 credit hours completed to be eligible to register for Senior Graduation Project 1. However, since you are only 1 credit hour away, it is recommended to contact the advising unit for further guidance. |
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Can I sign up for Senior Graduation Project 1 if I have completed 79 credit hours?
Output:
No, you must have exactly 80 credit hours completed to be eligible to register for Senior Graduation Project 1. It is advisable to contact the advising unit for assistance, as you are only 1 credit hour short. |
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I have completed 77 credit hours. Can I enroll in Senior Graduation Project 1?
Output:
No, you need to have exactly 80 credit hours completed in order to be eligible to enroll in Senior Graduation Project 1. |