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With new features and capabilities you will be at the forefront of writing iOS apps. Currently this course is taught using Swift 2. The team is aware of the release of Swift 3 and will be making edits to the course in time. Please be aware that at this time the instruction is entirely with Swift 2. Please note that to take part in this course and the full specialization it is required to have a Mac computer and, though not required, ideally an iPhone, iPod, or an iPad.

We hope you have fun on this new adventure.

Office | Le numérique à l'Université de Lorraine

Afficher tout. Cours 2. Cours 3. In App Design and Development for iOS, the third course of the iOS App Development with Swift specialization, you will be developing foundational programming skills to support graphical element presentation and data manipulation from basic functions through to advanced processing. You will continue to build your skill set to use and apply core graphics, touch handling and gestures, animations and transitions, alerts and actions as well as advanced algorithms, threading and more. By the end of this course you will be able to develop a more advanced, fully functioning app.

Cours 4. In the Build Your Own iOS App capstone you will expand your repertoire of additional features and more advanced functions that may be implemented within the iOS environment. You will refine your development skill set and will apply your accumulated skills over the entire specialization series in an applied application development capstone project. This particular course is project based and structured around you building a high quality app as a capstone to the specialization.

Linguistic aspects of Information Retrieval. Agents and artificial intelligence approaches to Information Retrieval. Search engines. Servers and clients. Browser and server side programming for Information Retrieval. The notion of secure communication. Building secure cryptosystems based on the assumption of computational hardness. Computational indistinguishable and unpredictability. Digital signature and message authentication. Application to e-commerce and e-trade. Computational models. Communication complexity. Design and analysis of distributed algorithms. Control algorithms.

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Asynchronous computations. Synchronous computations. Fault-tolerant algorithms. Manipulation of distributed data. Examples of applications in data and communication networks, mobile computing and systems of communicating agents. Fundamental features of programming languages, functions of compilers, processors, preprocessors, and translators. Organization of compilers including compile-time and run-time symbol tables. Lexical and syntactic analysis. Object code generation. Error diagnostics. Communication services, protocols and software. Details of layered protocol hierarchies. The transport, session, presentation and application layers.

Fundamental concepts of computer network design. Computer network and communication protocol architectures. The modelling and simulation process from a project oriented perspective. The role of conceptual modelling in the discrete event dynamic system context. Dealing with randomness. Distinctive features of modelling and simulation for continuous time dynamic systems and overview of numerical procedures.

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Validation and verification. Simulation software and program development.


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The concept of formal semantics. Attribute grammars. Denotational semantics. Operational semantics. Axiomatic semantics. Lambda-calculus for programming language description. Resolution and the semantics of logic programming.

Theory of abstract data types. DNA assembly, gene finding methods, exact string matching, pairwise alignment, grammatical frameworks, higher order structures. Recent developments, including DNA and protein chips. Interactive computer graphics. Display data structures and procedures. Graphics pipeline. Geometric transformations. Viewing in three dimensions. Illumination and color models. Object modelling in 2D and 3D. Representation of digital pictures.

Elements of visual perception. Imaging geometry.


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  8. Image enhancement and image restoration. Image segmentation and feature identification. Content-based analysis of images. Images compression, compression standards and graphics file format. Review of mathematical aspects of pattern classification in the context of picture processing languages.

    Practical examples in pattern recognition. Security policies. Security mechanisms. Physical security. Security awareness. User authentication. Application security mechanisms. External and internal firewalls. Security of operating systems and software. Security of e-commerce applications.

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    Design of security system and components. Devices for security analysis; sniffers, attack detectors. Information warfare. Ethical issues in computer security.