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Computer Scientist

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Salaries for Computer Scientist

City
Median
New York
$172,000
San Francisco
$175,000
Seattle
$164,000
See all salaries
City
Median
New York
$172,000
San Francisco
$175,000
Seattle
$164,000
Austin
$180,000
Toronto
$130,000
London
£95,000
Paris
€61,000
Berlin
€62,000
Tel Aviv
₪472,000
Singapore
S$133,000
Beijing
¥415,000
Shanghai
¥201,000
Shenzhen
¥505,000
Bengalaru
₹2,500,000
Delhi
₹3,300,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Computer Scientist

Take the first step.
We've curated 24 courses to help you on your path to Computer Scientist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

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Provides a broad overview of computational complexity theory, from basic concepts to advanced topics, and is suitable for both undergraduate and graduate students.
Classic work on the economics of efficiency. Pigou, a leading economist, analyzes the factors that determine economic efficiency and how it can be improved.
Authored by one of the leading experts in graph theory, this advanced book provides a deep dive into vertex cover algorithms and their approximation techniques.
This advanced textbook provides a detailed treatment of algorithmic graph theory and its applications to vertex covers and other graph problems.
Presents a modern perspective on computational complexity, emphasizing algorithmic and proof techniques.
Covers the theory of computability, including Turing machines, recursion theory, and the limits of what computers can compute.
Explores the relationship between innovation and efficiency. Jorgenson, a prominent economist, offers evidence that innovation can lead to significant improvements in productivity and economic growth.
Provides a practical guide to increasing efficiency in all areas of life, from work to home. Tracy offers tips and techniques for managing time, energy, and resources effectively.
Comprehensive guide to improving productivity in all areas of life. Bailey offers practical tips and techniques for managing time, attention, and energy effectively.
Provides a comprehensive overview of the principles of efficiency in manufacturing. Fine offers practical guidance on how to improve efficiency and productivity in manufacturing operations.
Covers parameterized algorithms, including a thorough analysis of the vertex cover problem and its parameterized complexity.
This classic textbook on combinatorial optimization includes a chapter on vertex cover and its applications in various optimization scenarios.
This textbook provides a detailed discussion of approximation algorithms for vertex cover and other NP-hard problems.
Examines approximation algorithms for NP-hard problems, discussing techniques for finding efficient solutions to difficult problems.
Introduces the theory of parameterized complexity, which studies the complexity of problems with respect to varying parameters.
Explores the importance of deep work, which is the ability to focus on a single task without distractions. Newport offers strategies for creating a more focused and productive work environment.
Provides a comprehensive treatment of logic and Boolean algebra, which are foundational topics for understanding the theoretical aspects of vertex cover.
Challenges the traditional 9-to-5 workweek and offers a blueprint for creating a more efficient and fulfilling life. Ferriss shares his tips for automating tasks, outsourcing work, and creating a passive income stream.
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