Computer Science Graduate School Research and Programming Best Practices
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn valuable insights and best practices for conducting research and programming in computer science graduate school in this 53-minute lecture by Dave Churchill. Explore essential topics such as version control, file backup, portfolio building, reference management, experiment organization, and data visualization. Discover the differences between typical and ideal thesis workflows, understand the importance of experiment repeatability, and gain practical knowledge on using Docker containers. Benefit from Churchill's decade of experience as he shares lessons learned and provides general tips for success in computer science research and programming.