Undergraduate Computational Science and Engineering Education

Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley · Issue 3.2, Spring 2021

The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and the perspective gained by working on real-world problems. We believe that interleaving these elements within our core courses is essential to preparing students to engage in data-driven inquiry at the scale that contemporary scientific and industrial applications demand. This new curriculum is already reshaping the undergraduate experience at Berkeley, where these courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.

Fellow Engineers: This is where your money comes from

Recently I saw some rather surprising conversations on Reddit’s /r/cscareerquestions which is generally a great place to talk through different CS Career issues people are having and try to h…

Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application

Computational thinking courses are no longer exclusive to engineering and computer science students in higher education but have become a requirement in other fields, as well as for students in secondary, primary, and even early childhood education. Computational notebooks, such as Jupyter, are popular solutions to develop the programming skills typically introduced in these courses. However, these solutions often require technical infrastructure and lack support for rich educational experiences that integrate discussion, active feedback, and learning analytics. In this paper, we introduce a web application designed to address these challenges. We present blended learning scenarios supported by this application and evaluate them in an eight-week computational thinking course comprising 67 students pursuing a Bachelor in Business and Economics. We include in our results the impact of the disruption caused by the COVID-19 pandemic, which forced a move from blended to online distance learning for the second half of our evaluation.

Teaching Programming for First-Year Data Science

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Computational Thinking for All Students

Posted by Maggie Johnson, Director of Education and University Relations, Google(Crossposted on the Google for Education Blog, and the the Huffingt...

California Alliance for Data Science Education (CADSE) - Home

The California Alliance for Data Science Education (CADSE) seeks to advance data science education in California Community Colleges (CCCs), California State Universities, and the University of

The education of a computer

mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.

Engineering Career Paths at Big Tech and High-Growth Startups

Levels at big tech, the most common career paths, and what comes after making it to Staff

Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years

In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new ...

Computational statistics

Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational methods. It is the area of computational science specific to the mathematical science of statistics. This area is fast developing. The view that the broader concept of computing must be taught as part of general statistical education is gaining momentum.

The Missing Discipline in Computer Science

On Teaching Computer Scientists to Ask “Why”

Motivating Adult Learners by Introducing Programming Concepts with Scratch

Novice programmers usually fail to combine abstract concepts and knowledge into program design, even though they know the syntax and semantics of individual statement. Adult novice programmers with little computer background knowledge might face more ...

The Paper Pilot

I'm Anthony "The Paper Pilot" Lawn, and I develop programs and games using a variety of languages and engines. I received my B.S. and M.S. in Computer Science at the University of Texas at Dallas, with a focus on Computer Interaction.

How I’d start my engineering career today

If you could start your engineering career over today, here’s what actually matters now that AI has made most coding skills nearly worthless.