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.
Этот курс входит в специализацию ''Специализация Object Oriented Java Programming: Data Structures and Beyond'
Mastering the Software Engineering Interview
от партнера
Специализация Object Oriented Java Programming: Data Structures and BeyondКалифорнийский университет в Сан-Диего
Об этом курсе
4.6
Оценки: 435
Приобретаемые навыки
Live CodingProgramming InterviewAlgorithmsProblem Solving
Программа курса: что вы изучите
Неделя
1Welcome & 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 видео ((всего 87 мин.)), 5 материалов для самостоятельного изучения, 6 тестов
15 видео
Course Goals7мин
Why Soft Skills?8мин
Google engineers share their stories4мин
The Application Process3мин
Preparing for the Interview5мин
Researching the Company7мин
Effective Resumes6мин
Resume critique recap6мин
People Involved2мин
What is a technical phone screen or interview?7мин
What Is an In-Person Interview?8мин
When I struggled: Overcoming a tough interview experience1мин
The value of your introduction6мин
Good and bad example introductions5мин
5 материала для самостоятельного изучения
Prerequisites and how to get the most out of this course10мин
After completing this course, you will be able to...5мин
By the end of this week, you will be able to...5мин
Interview prep resources10мин
Congratulations and quiz answers10мин
6 практического упражнения
Where do you want to start?2мин
Preparing for the interview4мин
Resume critique20мин
Your experience4мин
Where do you want to go next?2мин
End of Week Quiz10мин
Welcome & What is a Software Engineering Interview?: Lesson Choices
1 материал для самостоятельного изучения, 2 тестов
1 материала для самостоятельного изучения
Screen and video recording tips15мин
1 практического упражнения
Introductions (self-assessment)16мин
Неделя
2Live 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 видео ((всего 64 мин.)), 3 материалов для самостоятельного изучения, 6 тестов
12 видео
Cold Live Coding Assignment Walkthrough2мин
Sample demonstrating key pitfalls5мин
Talking Through Processes4мин
Getting Started2мин
Getting Stuck and Recovering from Mistakes5мин
Correctness and Testing3мин
A Very Good Phone Interview10мин
When I struggled: a first technical phone interview43
Imposter Syndrome and Stereotype Threat7мин
Growth mindset4мин
Imposter Syndrome Gallery15мин
3 материала для самостоятельного изучения
By the end of this week, you will be able to...5мин
Resources for finding problems to practice with10мин
Growth Mindset and Stereotype Threat: Additional Information and Resources10мин
6 практического упражнения
Cold Live Coding Assignment4мин
Your evaluation criteria4мин
Self-assessment20мин
Imposter syndrome and growth mindset4мин
Live coding assignment, take 230мин
Live coding take 2, self assessment20мин
Неделя
3Explaining 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 видео ((всего 67 мин.)), 1 материал для самостоятельного изучения, 1 тест
16 видео
Sample Pitch, Broadly Technical4мин
Sample Pitch, Non-Technical5мин
Sample Pitch, Technical5мин
Personal Narrative: Key Aspects4мин
Making the Problem Compelling4мин
Common Pitfall: Mixing Problem and Solution4мин
Common Pitfall: Assuming Too Much4мин
Presenting Your Solution4мин
Common Pitfall: In the Weeds4мин
Common Pitfall: Chronology4мин
Visual Aids3мин
Eye Contact, Speaking, and Projecting Excitement4мин
When I struggled: A surprising discovery33
Responding to Your Audience3мин
Describing a group project7мин
1 материала для самостоятельного изучения
By the end of this week, you will be able to...5мин
1 практического упражнения
Planning your narrative4мин
Explaining what you've already done: Lesson Choices
1 видео ((всего 4 мин.)), 2 тестов
1 видео
1 практического упражнения
Describe your work24мин
Неделя
4Algorithmic 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 видео ((всего 127 мин.)), 5 материалов для самостоятельного изучения, 5 тестов
17 видео
Algorithmic problem solving and interviews4мин
Case study: introduction5мин
Case study: a first solution4мин
Case study: working at the whiteboard5мин
Case study: going deeper7мин
Case study: next steps6мин
When I struggled: dealing with nerves1мин
In the real world: career advice1мин
Evaluation criteria4мин
Highlights from a good mock interview8мин
Pitfalls in a bad mock interview4мин
What's next?1мин
End of course message41
Appendix: full-length mock phone interview16мин
Appendix: full-length mock bad in-person interview26мин
Appendix: full-length mock good in-person interview27мин
5 материала для самостоятельного изучения
By the end of this week, you will be able to...10мин
Study notes20мин
Evaluation questions10мин
Interview Question Solutions--DON'T PEEK20мин
Additional Resources10мин
5 практического упражнения
Your experience4мин
Evaluating the mock interviews2мин
Solving algorithmic problems on the fly: Part 140мин
Record your live problem-solving session30мин
Solving Algorithmic Problems on the Fly: Part 2 (self-assessment)20мин
4.6
Рецензии: 8930%
начал новую карьеру, пройдя эти курсы
55%
получил значимые преимущества в карьере благодаря этому курсу
50%
стал больше зарабатывать или получил повышение
Лучшие рецензии
автор: MH•May 17th 2016
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.
автор: JC•Jul 19th 2017
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.
Преподавателя
Mia Minnes
Assistant Teaching ProfessorComputer Science and Engineering
Leo Porter
Assistant Teaching ProfessorComputer Science and Engineering
Christine Alvarado
Associate Teaching ProfessorComputer Science and Engineering
О Калифорнийский университет в Сан-Диего
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.
О специализации ''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.
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