Programa Especializado - Programación Java: Diseño de Estructuras de Datos Orientado a Objetos

Comenzó el mar. 20

Programa Especializado - Programación Java: Diseño de Estructuras de Datos Orientado a Objetos

Develop Powerful Interactive Software

Advance your software development knowledge in four comprehensive courses.

Sobre este Programa Especializado

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

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projects
Proyectos

Diseñado para ayudarte a practicar y aplicar las habilidades que aprendiste.

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Certificados

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Cursos
Intermediate Specialization.
Some related experience required.
  1. CURSO 1

    Programación Orientada a Objetos en Java

    Sesión actual: mar. 20 — may. 8.
    Dedicación
    6 semanas de estudio, 4-6 horas por semana
    Subtítulos
    English, Chinese (Simplified)

    Acerca del Curso

    Se ha preguntado como grandes proyectos de sofware, como el motor de busqueda de Google, son desarrollados? En este curso, usted se movera más alla de codificar en el método "principal" para apredender a diseñar y construir proyectos de software en Java más complejos (aunque no tac complejo como el motor de busqueda de Google!). Exploraremos como dividir un gran proyecto en una jerarquia de clases y como incrementar la funcionalidad de sus proyectos mediante la importación de librerias existentes. También vamos a ver algunos algoritmos básicos para la busqueda y clasificación de datos. Y en el camino, usted desarrollara un exitante aplicación interactiva con una intefaz gráfica de usuario . En este curso queremos que se inspire para crear. Se sumergirira en un proyecto del curso inmediatamente., con cada lección diseñada en torno de conceptos que son directamente aplicables para la extensión la funcionalidad del proyecto. Los videos de lectura incluyen tanto contenido básico así como testimonios e historias de los Ingenierios de software del mundo real, conversaciones entre estudiantes reales que están aprendiendo el material con el que usted probablemente se relacionara, y numerosos videos de apoyo a los que usted puede acudir si se queda atascado.
  2. CURSO 2

    Data structures: Measuring and Optimizing Performance

    Sesión actual: mar. 20 — may. 8.
    Dedicación
    6 weeks of study, 6-10 hours/week
    Subtítulos
    English

    Acerca del Curso

    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? 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 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. CURSO 3

    Estructuras de Datos Avanzadas en Java

    Sesión actual: mar. 20 — may. 8.
    Dedicación
    5 weeks of study, 1-3 hours/week
    Subtítulos
    English

    Acerca del Curso

    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. CURSO 4

    Mastering the Software Engineering Interview

    Sesión actual: mar. 20 — abr. 24.
    Dedicación
    4 semanas de estudio, 2 horas/semana
    Subtítulos
    English

    Acerca del Curso

    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. CURSO 5

    Proyecto: Analizando Datos de Redes (Sociales)

    Próxima sesión: may. 22 — jul. 10.
    Dedicación
    6 weeks of study, 3-5 hours/week
    Subtítulos
    English

    Sobre el Proyecto 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.

Creadores

  • Universidad de California en 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

More questions? Visit the Learner Help Center.