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.
Este curso faz parte do Programa de cursos integrados Object Oriented Java Programming: Data Structures and Beyond
Entrevista: dominando a engenharia de software
4.6
(453 classificações)
46,389 já inscritos!
oferecido por
Programa de cursos integrados Object Oriented Java Programming: Data Structures and BeyondUniversidade da Califórnia, San Diego
Informações sobre o curso
15,736
15,736Habilidades que você terá
Live CodingProgramming InterviewAlgorithmsProblem Solving
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
Welcome & What is a Software Engineering Interview?
Welcome to our course on effectively communicating your technical abilities. This course focuses on landing a technical job and excelling in a technical role. To succeed in job interviews, you’ll need to be able to confidently articulate your ability to solve challenging problems and come up with new solutions under potentially stressful conditions. After getting a technical job, the role of communication increases even more. You’ll need to work with other members of the team, communicate technical challenges and successes, and potentially sell the value of your work to those outside the company. Our goal is that by the end of this course each and every one of you understands the importance of technical communication, and has received constructive feedback on areas of potential improvement. In achieving this goal you will also learn about algorithmic thinking on the fly, how to evaluate a good interview answer to a difficult technical problem, and how “soft” skills impact interview outcomes. In this module, we’ll begin to see what a technical interview looks like, from the perspective of a major tech company. We’ll then focus on how to best get the interview in the first place. If you're not in the job market right now, you might want to skim the videos in this module and skip ahead to the Resume Critique (for insights about how to present yourself in writing) or the Introductions assignment (on effectively presenting yourself in person).
15 vídeos (total de (Total 87 mín.) min), 5 leituras, 6 testes
15 videos
Course Goals7min
Why Soft Skills?8min
Google engineers share their stories4min
The Application Process3min
Preparing for the Interview5min
Researching the Company7min
Effective Resumes6min
Resume critique recap6min
People Involved2min
What is a technical phone screen or interview?7min
What Is an In-Person Interview?8min
When I struggled: Overcoming a tough interview experience1min
The value of your introduction6min
Good and bad example introductions5min
5 leituras
Prerequisites and how to get the most out of this course10min
After completing this course, you will be able to...5min
By the end of this week, you will be able to...5min
Interview prep resources10min
Congratulations and quiz answers10min
6 exercícios práticos
Where do you want to start?2min
Preparing for the interview4min
Resume critique20min
Your experience4min
Where do you want to go next?2min
End of Week Quiz10min
3 horas para concluir
Welcome & What is a Software Engineering Interview?: Lesson Choices
1 leitura, 2 testes
1 leituras
Screen and video recording tips15min
1 exercício prático
Introductions (self-assessment)16min
Semana
23 horas para concluir
Live coding: the technical phone interview and beyond
Now that you’ve gotten warmed up, it’s time to practice your coding skills. One of the things you’ll almost certainly be asked to do during a technical phone interview is to code up a solution to a problem in a shared text document (e.g. Google doc) while you are on the phone with the interviewer. This experience can be intimidating, unfamiliar and humbling if you are not prepared, so this week we will give you lots of practice and tips for getting through this part of the interview with flying colors.
12 vídeos (total de (Total 64 mín.) min), 3 leituras, 6 testes
12 videos
Cold Live Coding Assignment Walkthrough2min
Sample demonstrating key pitfalls5min
Talking Through Processes4min
Getting Started2min
Getting Stuck and Recovering from Mistakes5min
Correctness and Testing3min
A Very Good Phone Interview10min
When I struggled: a first technical phone interview43s
Imposter Syndrome and Stereotype Threat7min
Growth mindset4min
Imposter Syndrome Gallery15min
3 leituras
By the end of this week, you will be able to...5min
Resources for finding problems to practice with10min
Growth Mindset and Stereotype Threat: Additional Information and Resources10min
6 exercícios práticos
Cold Live Coding Assignment4min
Your evaluation criteria4min
Self-assessment20min
Imposter syndrome and growth mindset4min
Live coding assignment, take 230min
Live coding take 2, self assessment20min
Semana
31 hora para concluir
Explaining what you've already done
This week, we’re going to focus on how to speak about your experiences working on projects and how to speak about the technical problems you’ve experienced and how you’ve solved those problems. We’ll introduce the STAR (Situation, Task, Action, Results) model for presenting your work, and discuss how to and how not to present the problem you worked on and the solution you developed. We’ll also discuss the communication skills that are critical to this task. It’s a fun week with lots of examples (both good and bad), which ends with an assignment where you will present your own work on video and submit this video for peer review.
16 vídeos (total de (Total 67 mín.) min), 1 leitura, 1 teste
16 videos
Sample Pitch, Broadly Technical4min
Sample Pitch, Non-Technical5min
Sample Pitch, Technical5min
Personal Narrative: Key Aspects4min
Making the Problem Compelling4min
Common Pitfall: Mixing Problem and Solution4min
Common Pitfall: Assuming Too Much4min
Presenting Your Solution4min
Common Pitfall: In the Weeds4min
Common Pitfall: Chronology4min
Visual Aids3min
Eye Contact, Speaking, and Projecting Excitement4min
When I struggled: A surprising discovery33s
Responding to Your Audience3min
Describing a group project7min
1 leituras
By the end of this week, you will be able to...5min
1 exercício prático
Planning your narrative4min
3 horas para concluir
Explaining what you've already done: Lesson Choices
1 vídeo (total de (Total 4 mín.) min), 2 testes
1 vídeos
1 exercício prático
Describe your work24min
Semana
45 horas para concluir
Algorithmic thinking on the fly
As we saw in week 2, coding on the fly can be a difficult task! In this final week of the course we’ll revisit the skill of live problem solving by looking at how to solve more challenging algorithmic problems (and write the code associated with the solution) on the whiteboard. You’ll recognize these problems as “classic” interview problems you’ve probably heard a lot about, designed to test your problem solving skills as well as your analysis and coding abilities. Don’t worry, we’ll teach you how to approach them with confidence through a 6-step process to addressing technical questions (hint: you don’t have to produce the perfect solution on the first try!). We’ll show you how to use this process in a number of examples. But of course, there is no substitute for practice, so we’ll set you up with how to train and evaluate yourself.
17 vídeos (total de (Total 127 mín.) min), 5 leituras, 5 testes
17 videos
Algorithmic problem solving and interviews4min
Case study: introduction5min
Case study: a first solution4min
Case study: working at the whiteboard5min
Case study: going deeper7min
Case study: next steps6min
When I struggled: dealing with nerves1min
In the real world: career advice1min
Evaluation criteria4min
Highlights from a good mock interview8min
Pitfalls in a bad mock interview4min
What's next?1min
End of course message41s
Appendix: full-length mock phone interview16min
Appendix: full-length mock bad in-person interview26min
Appendix: full-length mock good in-person interview27min
5 leituras
By the end of this week, you will be able to...10min
Study notes20min
Evaluation questions10min
Interview Question Solutions--DON'T PEEK20min
Additional Resources10min
5 exercícios práticos
Your experience4min
Evaluating the mock interviews2min
Solving algorithmic problems on the fly: Part 140min
Record your live problem-solving session30min
Solving Algorithmic Problems on the Fly: Part 2 (self-assessment)20min
27%
comecei uma nova carreira após concluir estes cursos
50%
consegui um benefício significativo de carreira com este curso
43%
recebi um aumento ou promoção
Melhores avaliações
I found this course is very useful. It covers all of the important points of facing technology job interview, even including how to deal with psychological emotions and build strong growth mindset.
I learned a LOT more than I thought I would. Practicing mock interviews while recording myself put me in a completely different mindset and let me know how much I need more practice.
Instrutores
Mia Minnes
Assistant Teaching ProfessorComputer Science and Engineering
Leo Porter
Assistant Teaching ProfessorComputer Science and Engineering
Christine Alvarado
Associate Teaching ProfessorComputer Science and Engineering
Sobre Universidade da Califórnia, San Diego
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.
Sobre o Programa de cursos integrados Object Oriented Java Programming: Data Structures and Beyond
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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