Computer Innovation Engineering
Students must complete at least 128 credits to graduate with at least 30 credits from general education courses; at least 92 credits from Computer Innovation Engineering concentration and at least 7 credits from free electives. Students must also complete the innovation internship requirement during their courses of study.
Subject Codes are assigned with 8 digits as follows:
1st, 2nd digit: 01 means Faculty of Engineering
3rd, 4th digit 26 means Computer Innovation Engineering program
5th digit 6 means Bachelor Degree
6th, 7th, 8th digit means Order of the subject
One academic credit is given to a course offered in a single semester which
- Meets in class for lecture or discussion for 1 hour per week; or
- Contains at least 3 laboratory hours per week.
Most courses are given 4 credits. These courses usually contain 3 hours of lecture or discussion per week. The courses are also accompanied with 1 additional hour of recitation or 3 hours of laboratory work per week. Students enrolled in the courses are also expected to spend at least 8 hours outside the class/lab for studying and completing the coursework.
The instructor-led lecture could be delivered as a traditional lecture or include learning activities in which the students can actively participate. The recitation is a compliment to a lecture where students can discuss and ask the recitation leader questions to clarify concepts, facts, or problem sets from the lecture. The laboratory hours give students the opportunity to learn from hands-on experience using specialized equipment or software related to the course’s contents.
01266111 Fundamentals of Programming 4(3-3-8)
This course introduces basic concepts of computer programming such as elementary programming, data types, expressions, simple algorithms and problem-solving involving sequential statements, conditionals and iterations. Students learn routines or methods as fundamental concepts and practice using strings, arrays, lists, maps or dictionaries, pre-defined libraries and classes, abstraction mechanisms and basic object- oriented programming concepts. Students will practice related activities of software development life cycle such as system requirement analysis, debugging, testing and validation.
01266112 Intelligent Devices and Digital Systems 4(3-3-8)
This course focuses on the fundamentals of designing and building modern intelligent devices in an application-driven context. The course provides an introduction to core computer engineering topics including digital circuit, signal and system design. Student will learn logic processing, boolean algebra and related applications such as boolean equation, reduction technique, fuzzy logic, logic programing, and logic frameworks. Students will develop and analyze digital circuit design and systems using integrated circuits, micro-controllers and programmable logic devices. The course also includes a substantial group project.
01006700 Discrete Mathematics 4(4-0-8)
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruence; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariant; recurrences; generating functions.
Science and Mathematics for Engineering
01006710 Introduction To Calculus 3 (3-0-6)
Function, Limit, Continuity and their applications, Mathematical induction, Introduction to derivative, Differentiation, Applications of derivative, Definite integrals, Antiderivative integration, Application of definite integral, Indeterminate forms, Improper integrals, Numerical integration, Sequences and series of numbers, Taylor series expansions of elementary functions vector analysis.
01006711 Advanced Calculus 3 (3-0-6)
Prerequisite: 01006710 Introduction To Calculus
Functions of several variables and theirs applications, Vector algebra in three dimensions, Polar coordinates, Calculus of real – valued functions of two variables, Differentiation and integration of real – valued and vector – valued functions of multiple real variables, Introduction to line integrals, Lines, planes and surfaces in three-dimensional space, Calculus of real – valued functions in three-dimensional space, Principal theory for applications such as Green’s theorem, divergence theorem, Gauss theorem, Stokes theorem, etc.
01006702 Physics I 4 (3-3-8)
This course covers basic physics and mechanics including a study of motion, space and time, kinematics, Newton’s law of motion, forces, energy and momentum, work, power, conservation laws, systems of particles, linear momentum, circular motion, rotation, torques, harmonic oscillation and gravitation.
01006703 Physics II 4 (3-3-8)
Prerequisite: 01006702 Physics I
This course provides the physical science required to analyze electrical and electronic devices. Covered topics include electrostatics and electromagnetic, electric field and potential, conductors, insulators, capacitors, dielectrics, electric current, electric circuits, magnetic fields and electromagnetism.
01006709 Probability and Statistics 4 (4-0-8)
This course provides an introduction to fundamental tools of stochastic analysis. Probability, conditional probability; Bayes Theorem; random variables and transforms; independence; Bernoulli trials. Statistics, inference from limited data; outcomes of repeated experiments; applications to design; assessment of relative frequency and probability; law of large numbers; precision of measurements. Elements of stochastic processes, Poisson processes; Markov chains.
01266211 Principles of Computation and Applications 4(3-3-8)
This course introduces fundamental programming concepts and problem- solving techniques that promote computational thinking skills. Theoretical foundations and practical applications of classical and parallel data structures and algorithms are explored. Program performance characteristics and complexity analysis are also covered. Students will spend a considerable amount of time writing programs to implement the concepts covered in the course.
01266212 Cyber-physical System Design4(3-3-8)
This course introduces students to the design and analysis of cyber-physical systems — computational devices and systems that integrate with physical processes for applications such as medical devices, consumer electronics, automotive systems, critical infrastructure control and robotics control. Students will learn about fundamental architecture of embedded systems. Basic topics include computer arithmetic, memory, system bus, I/O, micro-controller and microprocessor design. Students also study the interactions between computer systems and physical dynamics including interfacing with physical environments, distributed communications, real-time control, energy conservation, safety and reliability. The course also includes a substantial group project.
01266213 Computer Systems 4(3-3-8)
This course provides a programmer’s and designer’s view of computer systems. Students will study how computer systems execute programs, store information, and communicate. It enables students to become more effective in dealing with issues of performance, portability and robustness. The course helps students understand the foundations and key concepts of computer systems such as compilers, networks and operating systems. Topics covered include: machine-level code and its generation, performance evaluation and optimization, exceptions and processes, scheduling and context-switching, memory organization and management, network programming, and supporting concurrent computation. The course also includes a substantial group project.
01266214 Information Network and Cyber Security 4(3-3-8)
This course covers the topics of computer networking and cyber security. Students will learn about principle of computer networking such as OSI model, networking standards, protocols, network services, network devices, network design, cyber security concepts, network attack, cyber crime, network management procedure, network protection technique, laws, and security standard e.g. ISO/IEC 27000
01266215 Database Technology 4(3-3-8)
Databases underlie technology used by most software system or electronic device that maintains persistent information. This course will provide a study of database systems and the properties that make them exceptionally useful and convenient: reliability, efficiency, scalability, concurrency control, data abstractions, and high-level query languages. Students will learn about the principles of database systems as well as emerging approaches in database technology and persistence techniques; including relational and non-relational databases, in-memory and distributed database systems.
Integrated Innovation Courses
01266311 Elements of Software Construction 4(3-3-8)
This course introduces fundamental principles and techniques used to construct modern production-grade software. Students learn how to implement software that is safe from bugs, easy to understand, and ready for change. Topics include agile software development process, problem analysis, UML, software architecture and design, continuous integration and delivery, dependency management, design patterns and persistence. The course also includes a substantial group design project.
01266312 Cloud Computing 4(3-3-8)
This course gives students an overview of Cloud Computing, its enabling technologies and hands-on experience from public and private cloud infrastructure. The course covers the topics of data centers, virtualization, infrastructure, platform, and programming models. The course will discuss the motivating factors, benefits, challenges, and service models; including the concepts behind software-defined infrastructure design and management. Students will explore virtualization and resource isolation technique for offering software, computation, network and storage services. Students will also be introduced to existing cloud platform, programming models and patterns for cloud native applications.
01266313 Internet of Things and Smart Systems 4(3-3-8)
This course covers the topics of smart things network and communication: architectures, services and protocols; privacy and security; enabling technologies of IoT; IoT and smart system applications: smart cities, smart energy, smart transportation and mobility, smart home and building, smart factory and manufacturing, smart health and up-to-date applications; smart things networks for data management; IoT related standardization. The course also includes a substantial group design project.
01266314 Data Analytics 4(3-3-8)
This course is designed to provide students the basic techniques of data science, that included prominent algorithms used to mine data (e.g., clustering and association rule mining), and basic statistical modeling (e.g., linear and nonlinear regression). The course is targeted towards individuals who would like to know the practices used and the potential use of large scale data analytics.
01266512 Computer Innovation Engineering Capstone Design 4(3-4-8)
Prerequisite: 01266511 Capstone Design Preparation or 01006301 Cooperative Education or 01006302 Study Abroad
This course consists of open-ended design projects that incorporate fundamental and advanced concepts in Computer Innovation Engineering. Students will analyze, design and implement innovative prototypes which require application of standards and realistic engineering constraints. Students from alternative study programs can extend their work from the alternative study programs. Each team of 1 to 4 students must design and implement a prototype of the proposed innovation. Measurements, simulations, and/or characterization of the proposed solution is performed so as to demonstrate that the design objectives and specifications have been met. The final design reports must address issues, as appropriate, that are related to engineering economics, commercialization, manufacturability, environmental, social issues, ethics, and health and safety. Each team must prepare and deliver oral presentations and demonstrations of their design prototype.
01266401 Startup Engineering 4(3-3-8)
01266402 Mobile Application Development 4(3-3-8)
This course provides a study of application development for mobile devices. The course will cover the tools and frameworks required to develop applications for current and emerging mobile computing devices. Students will learn about the various constraints facing mobile application designers, with respect to hardware and user expectation. Students will also learn how to address these constraints with techniques in implementation, software design, and user-interaction design. Additionally, students will also learn about core concepts of modern mobile computing, such as software distribution models and location awareness.
01266403 User Experience and User Interface Design 4(3-3-8)
This course is designed to guide students through the elements of user experience and visual design principles. Students will study relationships between design and user that must exist to create a valuable user experience. This course will help students build prototype for the user experience and test the design, while learning why designing for the user experience is critical. Students will understand the research process before starting a design, including identifying what the business goals are and what the users’ needs are. Following the strategy process, students learn to create wire-frames, prototype applications or website, test the design, and explore the surface as the user. Students will discover the elements of user experience; know how to develop content requirements; be able to create an effective, informative design; and know existing resources available to assist with the UX design process.
01266404 Human Computer Interaction 4(3-3-8)
The study of human-computer interaction enables system architects to design useful, efficient, and enjoyable computer interfaces. This course provides a study of the theory, design procedure, and programming practices behind effective human interaction with computers. Students will learn about interaction design, implementation, and evaluation. The design process requires a solid understanding of the theory behind successful human-computer interaction and the usability engineering process. The course will discuss specific interface success stories and spectacular failures to learn from past experiences. Students will apply their knowledge in a series of practical assignments and labs that highlight selected portions of the design cycle, as well as familiarize them with programming practices, tools and effective techniques to create successful user interfaces.
01266405 Product Design Studio 4(3-3-8)
This course helps students understand how to design better products which make people lives and their interactions with products easier and more satisfying. Students will observe and analyze interactions to make them human-scale and relatable on an individual level. Techniques of user observation will be practiced and analyzed for efficacy in defining concrete, human-scale problems. Sketching, model making and prototyping with computer-aided design tools and technologies such as 3D-printing and modeling will be introduced and practiced to display and analyze possible effectiveness of the design solution.
01266406 IoT Device Design 4(3-3-8)
This course explores how physical devices in the real world communicate and transfer information to smart-device processors, such as smartphones and IoT gateway. Students will learn to interface common sensors and actuators on physical devices. Students then develop methods to acquire and process sensory data in mobile-enabled devices. The data may come from actuators, such as stepper motors, and LEDs, with various rates, depending on types of sensors. Therefore, students also learn how to sample the information as well as apply both analog-to-digital and digital-to-analog conversion concepts.
01266407 Data Visualization 4(3-3-8)
This course will discuss techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. The course discusses techniques and theory used in visualization, including data models, graphical perception and techniques for visual encoding and interaction. Students will gain exposure to a number of common data domains and corresponding analysis tasks, including multivariate data, networks, text and cartography. Students will learn to evaluate and use visualization in their own work as well as build better visualization tools and systems thru hands-on labs, programming and data analysis assignments.
01266408 Multimedia Databases and Data Mining 4(3-3-8)
The course covers advanced algorithms for learning, analysis and data management of large multimedia datasets. Topics include indexing for text and media databases, searching multimedia databases by content, fundamental signal processing methods, compression, fractals in databases, data mining, privacy and security issues, rule discovery, graph and stream mining.
01266409 Social Network Analysis 4(3-3-8)
This course will introduce students to social network analysis, both its theory and computational tools to comprehend the social and information networks that have been fueled and accessible by the internet. Topics include network graph, random network models, network centrality, network formation and search, contagion, opinion formation and coordination. Students will apply social network analysis to existing online social networks and discover new applications.
01266410 Cognitive Computing Applications 4(3-3-8)
This course provides an introduction to computational modeling of cognition which combines artificial intelligence and machine learning in an approach to mimic the brain’s behavior. The course covers pattern recognition, knowledge representations, revision, concept learning, explanation-based learning. We will discuss common tasks such as classification, diagnosis and advanced topics such as analogical reasoning, visual reasoning and meta-reasoning. The course will focus on cognitive computing application in several key areas including visual perception and attention, object and face recognition, learning and memory as well as decision-making and reasoning. Students will learn to train and use existing cognitive computing platform in order to solve real world applications.
01266411 Enterprise System Design and Implementation 4(3-3-8)
This course provides hands-on instruction and practice planning, designing and deploying a modern enterprise system and infrastructure. The course covers designing, planning, deploying, securing, monitoring, automating, and visualizing enterprise systems. The course covers the knowledge and skills needed to provide an enterprise solution that supports automated deployment to physical and virtual environment, including the supporting file and storage services; networking solutions such as DHCP, DNS, VPN and domain infrastructure; design service integrations; continuous integration; scalability and security controls for distributed services.
01266412 Software-Defined Data Center 4(3-3-8)
This course provides an introduction to the concepts and applications of software defined data center (SDDC). Students will explore the software-defined approach to manage data centers and workload deployment. The course will discuss the challenges and implementations of SDDC which combine compute, storage, network and related data center resources in order to create logical applications. Covered topics include data center abstractions, virtualization, software-defined storage and networking, orchestration, automated approach to workload deployment and policy management.
01266413 Software-Defined Networking 4(3-3-8)
This course provides the study of software-defined networking (SDN) and how it is changing the way communications networks are managed, maintained and secured. By abstracts networking infrastructure away from the actual physical equipment, SDN allows administrators to maintain the networking environment across multiple vendors and hardware, operating systems and versions. Students will learn the concept of SDN; control and data plane separation; network function virtualization and related protocols. Students will gain understanding of how to incorporate SDN into network operations and gains exposure to the tools, methodologies, and processes that can be employed to applications running on SDN fabrics.
01266414 Wireless Sensor Network 4(3-3-8)
This course covers fundamentals of wireless network technology and distributed sensor networks. Students will also study the design of low power sensors, which collect information and pass the information via wireless networks for monitoring and control applications. Students will learn about the applications in areas such as environmental monitoring, smart energy systems, field surveillance, home automation and medical monitoring.
01266415 Location-Based Technology and Service 4(3-3-8)
This course covers the topics of introduction to location awareness and survey applications, positioning and tracking principles, geolocation infrastructure, location based services (LBS), navigation and tracking system and services, a selection of emerging application possible through LBIS and security and privacy in LBIS. The students are encouraged to initiate the project related in location based technology such as application and service development on mobile devices, implementation of localization systems, etc.
01266416 IT System Management 4(3-3-8)
This course provides a study of information technology system management. Topics include the organization of IT system, ethics, legislation, outsourcing, product acceptance, ITIL process, Availability, performance tuning, change management, problem management, storage management, network management, capacity planning, security and business continuity.
01266417 IT Project Management 4(3-3-8)
This course addresses the subject of IT Project Management. We will study the project management from the perspective of a manager. The course will introduce tools and templates available to a Project Manager and how these tools can be used to manage a project and give a view of the project or project portfolio to the senior management. We will discuss the demands made on the Project Manager. We also look at common challenges that managers would face, such as cost overruns or project takes longer time than expected. The in-class learning is supplemented with simulations exercises during the course. The course will also cover several case studies to study how to measure a project in the business sense and will touch on some the business tradeoffs that a project management team.
01266418 Information Security Management 4(3-3-8)
This course explores the latest techniques for securing information and its systems, from policies and procedures to technologies and audit. Students will learn about information security management system which preserves the confidentiality, integrity and availability of information. Students will apply a risk management process and study requirements for establishing, implementing, maintaining and continually improving information security management system. Topics include information security organization and policy, human resource security, asset management, access control, cryptography, physical and environmental security, operations security, communications security, system acquisition, development and maintenance, supplier relationships, incident management, business continuity, regulatory and compliance.
01266419 Enterprise Network Security 4(3-3-8)
This course provides the study of enterprise network security. Covered topics include general security concepts, cryptographic methods, common threats and vulnerabilities, secure network devices and infrastructures (e.g. firewall, UTM, IDS, IPS), secure network administration principles and design elements (e.g. segmentation, layered security), network security tools, identity management and federations, public key infrastructure and certificate management, web application security, related protocols and services, wireless network security, compliance and operational security standards, ethics and laws related to enterprise network security.
01266420 Cyber Threats and Digital Forensics 4(3-3-8)
This course will address methods to properly conduct a computer and/or network forensics investigation including digital evidence collection and evaluation and legal issues involved in network forensics. Technical issues in acquiring court-admissible chains of evidence using various forensic tools that reconstruct criminally liable actions at the physical and logical levels are also addressed. Technical topics covered include detailed analysis of hard disks, files systems (including FAT, NTFS and EXT), and removable storage media; mechanisms for hiding and detecting hidden information; and the hands-on use of powerful forensic analysis tools.
01266424 Blockchain Technologies4(3-3-8)
This course discusses the underlying technology for blockchain such as Bitcoin, Ethereum and its applications. We will study how does blockchain, cryptocurrency, and smart contract work and what makes it difference. Issues such as anonymity and securities will also be addressed. Student will learn the required concepts to engineer secure software that interacts with the blockchain network. Student will be able to integrate ideas from blockchain technology into their own projects.
01266422 Microcontroller Design and System On Chip 4(3-3-8)
This course explores the design of System on Chip applications. Students will study, design, debug, and construct several systems that illustrate the design of embedded processors with custom peripherals running a real-time operating system. Students will be introduced to examples, description of specific module design, instructions and the operations of the hardware, such as micro-controller and FPGA, and high-level design tools.
01266423 Fundamentals of AR, VR and Mixed Reality 4(3-3-8)
This course explores the emerging technologies that fuel the frontier of design, interaction and software development using augmented reality, virtual reality and mixed reality. Students will learn the fundamentals of design and experience in the context of virtual/augmented/mixed reality, storytelling and content creation. Students will work with standard virtual reality framework, learn about design and existing constraints, implement projects to create immersive environments for users and potential applications.
English Proficiency Requirement
01006500 Academic Listening and Speaking **Audits** 4 (4-0-8)
The course provides ESL students guidance and extensive practice in listening and speaking in academic and professional settings. Listening focuses on understanding spoken English in formats such as college lectures and news broadcasts. Note-taking tasks are also included to reinforce aural comprehension. Students learn to recognize organizational patterns. Students also practice outlining main ideas and supporting details through audiotape, videotaped and live presentations. Speaking focuses on increased fluency and communicative strategies used by native speakers in academic and professional settings.
01006501 Academic Reading and Writing **Audits** 4 (4-0-8)
This course is designed to improve the reading and writing skills of ESL students. Students receive practice on reading and vocabulary development. Reading practice will emphasize paraphrasing, summarizing, and the simple analysis of texts to identify main ideas and distinguish fact from opinion. Writing practice includes writing of simple and compound sentences, using compound tenses and correct word forms, word order, spelling, and punctuation. Students will also develop the ability to write varied, complex sentences and effective paragraphs in standard written English.
01006513 Interpretation and Arguments 4 (4-0-8)
This course provides the study of interpreting and analyzing written and visual arguments. Students will learn to identify the underlying values, definitions, and assumptions in those arguments. The students also learn how to synthesize a multiplicity of competing perspectives, and to articulate fundamental disagreements between those perspectives. Ultimately, students will advance their contributions to discussions in engineering, business innovations, and technology studies.
01006518 Emerging Trends in Engineering 1 (1-0-2)
This course consists of a series of lectures given by different faculty members and distinguished speakers from the academic and industries. The lectures are designed to 92 provide students a good understanding of each curriculum structure and the courses in each subject areas. Students will be introduced to emerging trends in Engineering and the relevance of our courses. New courses and research opportunities will be presented, including the faculty’s research fields. The course also discusses basic learning and working ethics and prepares students career-making skills. Pass/Fail, required to graduate
01006514 Innovative Communication 4 (4-0-8)
This course provides the study and practice of different communication skills including technical, professional and creative writing; info-graphics design; and delivering presentation. The students will study relevant techniques and learn to combine a range of skills in order to effectively communicating technical or specialized concepts. They will be able to explore and translate the benefit, the uniqueness, and the credibility of innovative ideas to a target audience.
01006515 Design Methods for Innovations4 (4-0-8)
This course consists of structural design process to create innovative products or services. The students will study the process to gather trends and information such as global direction, public opinions, technology, business, society and economic; learn how to extract context of interested area to find opportunities; study the processes used to gather behaviors, generate intense understanding about areas that lead to innovative concepts, produce innovative solutions and finally offering innovative products and services.
01006516 Innovation Management 4 (4-0-8)
This course introduces students to the concepts of innovative thinking and innovation management practices. This course prepares students with the insights and instruction necessary to successfully lead worldwide enterprises or local ventures. Covered topics include organization, strategy planning, policy development, communities, research and development and product management. Students are exposed to issues that challenged real-world organizations. Students will learn best practices used by engineering leaders who successfully develop commercially viable products and services, create efficient operating processes, manage profitable organizations, and transform companies into industry leaders.
01006517 Lean Startup and Agile Business 4 (4-0-8)
This course covers the basic principles of lean startup and agile business practice. Students will learn how to create an innovation accounting system to build products that meets customer demands; find the easiest and fastest ways to build minimum viable products to reduce time-to-market; learn tactics for improvement and measure customers’ needs such as experimenting landing pages, A/B tests, MVPs on real customers; study how to implement an agile culture in business environments and learn how to develop business structures in order to keep the business functioning on constantly-moving units.