A first class in computer programming and computing skills, and as such a foundation for further work in computer science. Much as a competency with English grammar is required for writing, an understanding of programming is required for nearly all intermediate and advanced work in computing. Topics include program design, boolean logic, input and output, object oriented programming, and some basic computing skills such as code editing, debugging, and practice with the unix command line environment.
Students will learn to design and implement computer programs for tasks such as drawing graphical patterns, transforming and analyzing data files, and responding to user input. The language used will be Python, a general purpose high level scripting language often used in domains such as scientific computing and web development.
A computer (MacOS, Windows, or Linux) onto which Python and related modules and tools may be installed is required.
Students will learn fundamental computing concepts and skills including
As an asynchronous online course, we won't typically all be together at the same time, either in person or in a zoom room. Instead, I'll post videos of myself explaining some of the things that I would have explained in a face-to-face classroom setting, and be available regularly via zoom to answer questions and discuss the material.
The course will consist of
While I've taught this course many times before at Marlboro College, doing it entirely online is new to me, so this plan may well change as we go along. Please do give me feedback about what is and isn't working.
Assignments will be due twice weekly, Mondays and Thursdays by midnight.
There are multiple discussion zoom sessions with Jim and the CS tutors (Quang, Stacy, and Suman) - currently 13 times per week, 32 hours, seven days a week. See the zoom times for the details.
You don't need to participate in all of these (though if you make it to even half of them in one week and let me know I'll send you some chocolate as a prize) but it would be good to connect up with Jim at least once per week.
We also have a slack channel where you can ask questions.
Learning the fundamentals of computer science is different for everyone and may even differ from topic to topic or problem to problem in terms of how much time and effort is required to master that topic or problem.
Working in a group setting on a larger problem can present a unique challenge in terms of workload - groups will be responsible for dividing work equitably among all partners and holding each other accountable to get tasks done well in a timely manner. Even the best project plans are not perfect, and as such, it should be expected that some weeks may be more intense than others. It is advised that students communicate with each other and the instructor regarding schedule, availability and workload.
In the past, I've taught this course over a 14 week semester, and expected roughly 12 hours of time per week, both in and out of classes.
This semester we will cover the same material in 7 weeks, in an online setting ... which means you should expect to need spend roughly 24 hours per week on all this. Depending on your background, aptitude, and how much you want to get out of all this, your may need less or more than this. But you should expect it to be something like half of a full time job.
A note on attribution, code, and the culture of programming...
The "culture" surrounding programming is one that encourages sharing and collaboration. Open-source software, online communities such as StackOverflow, GitHub/Gist, and the fast-paced nature of the technology world have all led to a vast collection of places where programmers can quickly and easily get help in solving common and not-so-common problems. This is a fantastic and vital part of being a 'programmer', and I encourage you to use and contribute to these communities.
This being said, there are a few important guidelines that MUST be followed in order to strike a balance between collaboration and academic integrity:
Here's an example of quoting your sources : a lot of the preceding language in this syllabus is from Andrew Cencini's Fall 2019 edition of this course. ("Hi Andrew!")
The overall course grade will be the average of
The homework grade is based on the number of assignments completed and submitted on time.
Project grades will be based on
If circumstances outside of your control - illness, technology issues, your dog ate your homework - get in the way, please do let me know, and we will try to work things out.
This is what I have in mind for our schedule of topics but may well change as we go along.
Mo | Tu | We | Th | Fr Sep 1 3 getting started 8 10 input, output, graphics 15 17 strings, lists, functions 22 24 decisions; start group projects 29 1 group projects; simulations; Oct 6 8 classes, dicts, recursion; start projects 13 15 final project
Thu Sep 3 1. umber, jupyter, unix shell lab, about you, hello world Mon 8 2. chap 2, 3; interest rates & temp conversion Thu 10 3. python on laptop; zelle graphics; LAB - Sol Levitt Mon 14 4. chap 5: strings, lists, files : ciphers, debug, docs Thu 17 5. chap 6: functions, ant song, more debug & docs Mon 23 6. chap 7,8: decisions, booleans Thu 24 7. group projects check-in, STOP guess word game Mon 28 8. group projects due Thu Oct 1 9. chap 9 : LAB - craps simulation ; propose final project Mon 5 10. chap 10,11: classes & data collections; cards Thu 8 11. chap 12: recursion; LAB - peg solitaire Mon 13 12. final project check-in Thu 15 13. final project due
Questions about any of this? Ask Jim.
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