Spécialisation Programmation Java : conception orientée objet des structures de données

Commence le mars 27

Spécialisation Programmation Java : conception orientée objet des structures de données

Develop Powerful Interactive Software

Advance your software development knowledge in four comprehensive courses.

À propos de cette Spécialisation

This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.

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courses
5 courses

Suivez l'ordre suggéré ou choisissez le vôtre.

projects
Projets

Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.

certificates
Certificats

Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.

Cours
Intermediate Specialization.
Some related experience required.
  1. COURS 1

    Object Oriented Programming in Java

    Session à venir : mars 27 — mai 15.
    Engagement
    6 weeks of study, 4-6 hours/week
    Sous-titres
    English, Chinese (Simplified)

    À propos du cours

    Have you wondered how huge software projects, like the Google search engine, are developed? In this course, you’ll move beyond coding in the “main” method to learn to design and build more complex Java software projects (though not quite as complex as the Google search engine!). We’ll explore how to divide up a large project into a hierarchy of classes and how to increase the functionality of your projects by importing existing libraries. We’ll also look at some core algorithms for searching for and sorting data. And along the way, you will develop an exciting interactive application with a graphical user interface. In this course we want you to be inspired to create. You’ll dive into a course project right away, with each lesson designed around concepts that are directly applicable to extending the project’s functionality. The video lectures include both core content as well as testimonials and stories from real-world software engineers, conversations between real students who are learning the material that you will likely relate to, and numerous support videos that you can turn to if you get stuck.
  2. COURS 2

    Data Structures and Performance

    Session à venir : mars 27 — mai 15.
    Engagement
    6 weeks of study, 6-10 hours/week
    Sous-titres
    English

    À propos du cours

    How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets. Efficiency is critical, but how do we achieve it, and how do we even measure it? This is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java). In this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. You will explain how these data structures make programs more efficient and flexible. You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage. The program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data. This is an intermediate Java course, and we will build on your prior knowledge. This course is designed around the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!
  3. COURS 3

    Advanced Data Structures in Java

    Session à venir : mars 27 — mai 15.
    Engagement
    5 weeks of study, 1-3 hours/week
    Sous-titres
    English

    À propos du cours

    How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data. You will develop, implement, and analyze algorithms for working with this data to solve real world problems. In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future. The backbone project in this course will be a route planning application. You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment. And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.
  4. COURS 4

    Mastering the Software Engineering Interview

    Session à venir : mars 27 — mai 1.
    Engagement
    4 semaines d'étude, 2 à 4 heures par semaine
    Sous-titres
    English

    À propos du cours

    You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice! With the support of Google’s recruiting and engineering teams we’ve provided tips, examples, and practice opportunities in this course that may help you with a number of tech companies. We’ll assist you to organize into teams to practice. Lastly, we’ll give you basic job search advice, and tips for succeeding once you’re on the job.
  5. COURS 5

    Capstone: Analyzing (Social) Network Data

    Session à venir : mai 22 — juil. 10.
    Engagement
    6 weeks of study, 3-5 hours/week
    Sous-titres
    English

    À propos du Projet Final

    In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! The opportunities for learning are practically endless in a social network. Who are the “influential” members of the network? What are the sub-communities in the network? Who is connected to whom, and by how many links? These are just some of the questions you can explore in this project. We will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project. If you’re running short on ideas, we’ll have several suggested directions that can help get your creativity and imagination going. Finally, to integrate the skills you acquired in course 4 (and to show off your project!) you will be asked to create a video showcase of your final product.

Créateurs

  • Université de Californie à San Diego

    The UC San Diego Department of Computer Science and Engineering (CSE) embodies the university's tradition of excellence as a world-class leader in computer science and engineering education and research.

    UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.

  • Leo Porter

    Leo Porter

    Assistant Teaching Professor
  • Christine Alvarado

    Christine Alvarado

    Associate Teaching Professor
  • Mia Minnes

    Mia Minnes

    Assistant Teaching Professor

FAQs

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