Student Goals

When asked about their area of concentration, students responded:

  • Computational Engineering - 18

  • Aerospace - 7

  • Biomedical / Health - 5

  • Data Science / AI / ML - 5

  • Software - 3

  • Math - 2

  • Parallel Processing - 2

  • Climate - 1

  • Electrical and Computer Engineering - 1

  • Energy - 1

  • Natural Sciences - 1

  • Physics - 1

  • Quantum Computing - 1

  • Space Exploration - 1

  • Trading Analysis - 1

When asked what their goals were for the course, students responded (most of these were edited for typos and readability):

Programming

  • Become a better programmer

  • Learn more about python

  • Learn how to write python code effectively

  • Gain more experience with python

  • Get better at cython for fun

  • Learn parallel processing in python

  • Get quicker at solving coding problems

  • Be a stronger software developer

  • Better understand parallel computing at the supercomputer level

  • Learn to use Python more professionally to enhance skills to utilize in the real world

  • Learn more Object Oriented Programming

  • Develop a better workflow and headspace for coding

  • Learn python

Software Engineering

  • Develop a good understanding of computational applications in software engineering

  • Learn virtualization and other advanced topics

  • Learn more about software engineering

  • Advance my software development skills in the area of cloud based systems

  • Hone my abilities in software engineering

  • Grasp knowledge of cloud computing as it relates to Aerospace

  • Get a lot better at cloud development

  • Learn things useful for both software engineering and software engineering technical interviews

  • Learn more about software development and design

  • Learn more about different aspects of software engineering in general

Technologies / Applications

  • Understand how to build containers

  • Learning Kubernetes

  • Learn some unique utilities in technologies like git or bash

  • Learn and understand APIs well enough to explain them to other people

  • Learn more about Flask and learn how to apply it to my code

  • Learn Kubernetes, FLASK, and APIs

  • Learn the fundamentals of databases

  • Learn the fundamentals of creating web applications

  • Have a better understanding of webdev so that I would be capable of finishing cloud-integrated projects on my own

  • Learn emacs

  • Better understand containerization

  • Learn more about containers

Professional Development

  • Familiarize myself with processing datasets that may be relevant to a future job

  • Be able to use the material learned in this course and apply them in a career setting

  • Use the material learned in this course to start a career in software programming or computation

  • Develop computational skills

  • Increase my confidence within the field to make myself a more valuable talent for future hires

  • Use the learning to get an internship

  • Connect with the Professor to potentially get an internship at TACC this Summer

  • Explore job opportunities, working at TACC for the summer

  • Be prepared for an internship or a research opportunity

  • Land a summer internship through the powerful connections available to me

  • Develop technical industry skills

  • Land an internship

  • Find an internship/research for the summer

  • Be prepared for interviews

  • Be able to put coding skills on my resume

Data Science / Research

  • Learn how to do scientific computation

  • Learn to develop tools to solve problems

  • Gain relevant experience working with large datasets

  • Get familiar with programming languages/scientific programming so I can use this for my research interests

  • Applying and enhancing my current knowledge of cloud computing, software engineering, and data science through real-world projects

  • Incorporate my data sets from research I participate in

  • Want to learn more about Quantitative Analysis

  • Learn things in terms of aerospace and other aspects