​​Lecture Slides: Applied Software Engineering with Applications to Space Science
​​Author: Dr. Christine Corbett Moran, NSF Astronomy & Astrophysics Postdoctoral Fellow, Caltech
​​License: Attribution-NonCommercial-ShareAlike 2.5 Generic (CC BY-NC-SA 2.5) 
​​Lecture Videos: https://www.youtube.com/playlist?list=PL8_xPU5epJdebSdz1TrJ89vGv__St_EOE
​​Textbook:  ​+Software Engineering and Science: An Interactive Textbook with Applications to Astronomylaptop computerkeyboardtelescopesatellite antennachart increasingchart decreasing​ 
​​Acknowledgements:  Dr. Christine Corbett Moran’s work on this book was supported by the NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1501208. 

​​Week 1: Software Engineering and Earth ​🌎​​🛰​​🌍​ 

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​​Lecture 1 (Part 1): Introducing course objectives, software engineering, python interpreter, IPython console, bash console, Jupyter notebooks

​​About This Course

  • ​​We’re going to learn software engineering while learning space science all at once. 
  • ​​hope it will be more rewarding than learning either on their own, in an isolated world
  • ​​Most of the learning is by doing not by reading or listening. 
  • ​​Everything in the lecture is also written in the course textbook

​​NotebookProblems and Chapter Exercises

  • ​​The lecture follows the textbook exactly
  • ​​the lecture and textbook contains some chapter exercises which can generally be solved in a few minutes
  • ​​Anytime you see a NotebookProblem referenced in the textbook or lecture, you have the knowledge to attempt it.
  • ​​These problems will generally take longer than the exercises
  • ​​We will attempt these problems in our lab sessions

​​What is Software Engineering?

  • ​​Software engineers build and design ways of using computers to help them solve real world problems. 
  • ​​work in teams and interact with other software engineers, with users, and with entrepreneurs 
  • ​​work in medicine, biology, ecology, music, art, consumer products, finance, and more. 
  • ​​To learn software engineering, we need to become familiar with computer programming, with collaborating with teams, with reading other people's code, as well as brainstorming solutions. 

​​Languages and tools

  • ​​software engineering skills aren't dependent upon a specific computer language nor are they dependent on using a particular set of tools
  • ​​in this course we will learn the fundamentals of one particular set to work on our collaborative projects and learning process. 
  • ​​most of the time we’ll be working with Python and we’ll just give a small taste of other tools 

​​Picking up a large number of tools

  • ​​software engineers get to learn on the job
  • ​​each  new tool learned, whether it is a computer language, and operating system, or a development environment, is largely familiar given their basic skills. 
  • ​​for this course we're picking a few tools to get familiar with all the basics of software engineering. 
  • ​​Don’t get overwhelmed. If you have learned how to speak a natural language you can learn these tools with time and practice.

​​Summer App Space Specific Schedule

  • ​​Mondays and Fridays:
  • ​​8am-9am Lecture
  • ​​9am-12pm Lab (solving Exercises and NotebookProblems or projects)
  • ​​12pm-1pm Lunch together in Caltech Cafeteria
  • ​​1pm-2pm Lecture
  • ​​2pm-5pm Lab (solving Exercises and NotebookProblems )
  • ​​Thursdays:
  • ​​8am-9:30am Innovation Speakers Series
  • ​​9:30am-12pm Lab review, breakout sessions, and science lectures.
  • ​​Last 2 weeks of program: Labs will be replaced by project work.

​​What is Space?

  • ​​Astronomy and astrophysics studies celestial objects and phenomena and incorporate knowledge of physics, chemistry, mathematics and in recent years computer science and programming to try to understand them
  • ​​Space sciences includes studying galaxies, our own Earth, the origins of the universe, planets, stars, asteroids, man-made satellites, human space exploration, and more 

​​What is a project based approach?

  • ​​we’ll work on a small project to illustrate the concepts in lecture/the textbook with real world code.