This syllabus is subject to change based on specific class needs, especially the schedule. Significant deviations will be discussed in class. Individual exceptions to the policies and schedule are granted only in cases of true emergency. Please make arrangements with me if an emergency arises.
Introduction to Programming teaches basic programming skills that are applicable to a variety of disciplines and also acts as a bridge to continued studies in computer science. Students will work with the Python programming language in order to solve basic problems. By the end of the course students will be able to read and develop computer programs utilizing the following programming concepts: basic data types and encoding, variables and scope, array and list data structures, if statements and conditional execution, loops and iteration, functions, and object types.
Goals:
Our textbook is Foundations of Python Programming. It is completely online and free, although I highly suggest making a small donation if you can afford it – providing the interactive exercises requires money to host the servers that run the code!
There are several apps/accounts we will be using for this course.
An account at Runestone Academy. Your account will be automatically created and you will be emailed your account information at the start of the semester.
During class I will often ask interactive questions using the Socrative app. Students will need to create a free student account at https://socrative.com. While you can participate in Socrative sessions via a web browser, I recommend using the free iOS or Android apps available here.
Though most assignments will use the interactive textbook, I might give some assignments/projects via Replit, an online development service. Students will receive, complete, and submit assignments all via the website. If/when Replit is used, you will receive instructions on how to create an account and join our course.
The weekly workload for this course will vary by student and by week but should be about 12.5 hours per week on average. The following table provides a rough estimate of the distribution of time over different course components for a 16 week semester, as well as detailing the type, amount, and relative value of all assignments.
| Category | Amount | Final Grade Weight | Time/Week (Hours) |
|---|---|---|---|
| Lectures | ~41 | 10% (Participation) | 2.5 |
| Labs | 8–10 | 10% | 3 |
| Homework | 6–8 | 10% | 1 |
| Exam Study | - | - | 1 |
| Exams | 4–5 | 30% | - |
| Projects | 2 | 30% | 3 |
| Reading Assignments/Practice | - | 10% | 2 |
| Total | 12.5 |
Reading Assignments: Before most classes there will be an assigned reading in the interactive textbook. Your progress on these is automatically recorded and visible to me.
Practice: In addition to the reading assignments, each week you have review practice questions to complete. These can be found by clicking 👤 > Practice on Runestone. Each week you must complete the questions on at least 3 days.
Exams: All exams are weighted equally and will take approximately the same amount of time. Exams will generally focus on material covered since the previous exam but will be in some sense cumulative due to the nature of programming. Unless stated otherwise, assume that exams will be pencil and paper and that computers will not be available during the exam period.
Projects: Two larger scale programming projects will be undertaken during the semester. These projects will be individual efforts and will require much more effort than the programs written in lab or as part of homework. Students can expect to have two weeks from the time of the project assignment to complete the project. One or more lab periods will be dedicated to work on the project. It is highly recommend that all students make ample use of the time given on these projects.
Labs: Most weeks will include an in-class lab assignment. Students will often be placed into pairs for “paired programming”, a programming practice where each member of the group takes turns typing while the other group member helps look for typos, bugs, and otherwise assists in the design of the code. Each group will submit their work at the end of the lab period regardless of the overall completeness of the assignment. The goal is to make good constructive progress on the assignment. Full credit can and will be given on unfinished work so long as it can be executed to complete some portion of the given task, shows evidence of purposeful progress, and the group made full use of the lab period.
Homework: Students will be assigned a set of homework problems, usually from the current chapter of the book. These problems are meant to guide reading, prepare the student for in-class problems, and survey the material covered by the exam. Each student will turn in their own set of solutions.
Your final grade is based on a weighted average of particular assignment categories. You can estimate your current grade based on your scores and these weights. You may always visit the instructor outside of class to discuss your current standing. Assignments and final grades use a standard grading scale shown below and will not be curved except in rare cases when deemed necessary by the instructor.
This courses uses a standard grading scale. Assignments and final grades will not be curved except in rare cases when its deemed necessary by the instructor. Percentage grades translate to letter grades as follows:
| Score | Grade |
|---|---|
| 94–100 | A |
| 90–93 | A- |
| 88–89 | B+ |
| 82–87 | B |
| 80–81 | B- |
| 78–79 | C+ |
| 72–77 | C |
| 70–71 | C- |
| 68–69 | D+ |
| 62–67 | D |
| 60–61 | D- |
| 0–59 | F |
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge*.
You are always welcome to challenge a grade that you feel is unfair or calculated incorrectly. Mistakes made in your favor will never be corrected to lower your grade. Mistakes made not in your favor will be corrected. Basically, after the initial grading your score can only go up as the result of a challenge.
Lab and homework assignments are graded on a simple 3 point scale, marked with (in decreasing order) a check-plus, check, or check minus. Your final grade for these two assignment categories is then based on the respective averages.
Your participation grade is based on a variety of activities, but especially daily use of Socrative for in-class question and answer sessions. Questions will cover portions of the text that were assigned as reading and will range from simple checks to see if the reading was done to more challenging questions that follow from a close examination of the reading. For the most part, the only requirement is to provide an answer to every question and participate in the resultant discussions. On occasion, questions will be evaluated for their correctness and performance on 3 these questions will also factor into the course participation grade. Students who do the reading and start the homework as soon as possible will have very little to worry about.
While there is no strict attendance policy, the course participation grade is based in large part on engagement with socrative. Absent students cannot participate in socrative sessions. Students should avoid unexcused absences, as defined in the college-wide absence policy. Whenever possible, let the instructor know of the absence before it occurs. When unexcused absences do occur, it is the student’s responsibility to make up for the lost class time and to seek the permission of the instructor to hand-in or complete assignments that are late due to an unexcused absence.
This course is designed around the assumption that students engage in new ideas before they’re covered in class meetings. This means doing assigned reading, taking a stab at homework problems, and as a result coming to class and lab with some understand about a new idea or, just as likely, with a host of questions about something encountered in the reading and homework. Not attending class, skipping lab, and putting off work to the point that an extension is needed are signs that a student isn’t holding up their end of the bargain and is not prepared to participate in class.
Late assignments: You have each been allotted a total of 5 late days. You may apply these to any homework or programming assignment (NOT exams, labs, or reading assignments) you see fit and turn in your solutions with no penalty. Each late days gives you exactly 24 extra hours from the original due date and time. However, you may use at most 2 late days on any individual assignment. The whole point here is to give you some flexibility that allows for things like illnesses, long trips, and the like. I am unlikely to grant further extensions. You must notify me if you will use late days, and how many, BEFORE the assignment is due. Late assignments (beyond any applied late days) will be subject to a grade reduction at my discretion. While you should expect a reasonable penalty for late work, know that I will NEVER give you a 0 for late work as long as it is turned in before the final exam. If you must miss a lab, please contact me ahead of time to make arrangements.
Academic dishonesty: Monmouth College’s official policy on academic dishonesty can be found here. You are responsible for reading and complying with that policy.
In this course, any violation of the academic honesty policy will have varying consequences depending on the severity of the infraction as judged by the instructor. Minimally, a violation will result in an “F” or 0 points on the assignment in question. Additionally, the student’s course grade may be lowered by one letter grade. In severe cases, the student will be assigned a course grade of “F” and dismissed from the class. All cases of academic dishonesty must be reported to the Associate Dean who may decide to recommend further action to the Admissions and Academic Status Committee, including suspension or dismissal. It is assumed that students will educate themselves regarding what is considered to be academic dishonesty, so excuses or claims of ignorance will not mitigate the consequences of any violations
Collaboration: We encourage you to make use of the resources available to you – it is fine to seek help from a friend, tutor, instructor, internet, etc. However, copying of answers and any act worthy of the label of “cheating” is never permissible! It is understandable that when you work with a partner or a group that the resultant product is often extremely similar. This is acceptable but be prepared to be asked to defend your collaborations to the instructor. You should always be able to reproduce an answer on your own, and if you cannot you likely do not really know the material.
One way to collaborate effectively is to avoid taking careful notes during a collaboration session. Discuss the material and sketch out possible solutions on a whiteboard. When you have finished, take a break and then write up your solutions without any help from notes or pictures from the study session. This not only helps avoid violations of academic dishonesty, it also improves your retention of the material!
When assignments are meant to be done in groups, you will be directed to turn in one set of solutions per group. Otherwise, each student must turn in an assignment representing their own work.
Electronic devices: Do not use your phone or other devices in class except where necessary. Any computer or tablet usage should be related to the course. If a device is not being used for Zoom or Socrative it should be put away and turned on silent. Other usage is rude and distracting to others.
General expectations: In short, I expect you to be respectful of others and take responsibility for your own learning. You are here to learn, so work hard and be professional.
Just attending class is not sufficient to truly learn the material. Read the text, use the resources available at Monmouth College, and go beyond the material.
If you miss class, you are responsible for everything covered on that day. College is, in some sense, your job. Take pride in creating quality work. Staple your assignments, label problems, and present your answers neatly and orderly.
Your job is to convince me that you have learned the material – show your work! Even if you do not know a particular answer, guide me through your thought process.
The following tentative calendar should give you a feel for how work is distributed throughout the semester. Assignments and events are listed in the week they are due or when they occur. This calendar is subject to change based on the circumstances of the course.
Note: All readings should be done before the class period in which they are listed below.
| Date | Class Activity | Reading Assignment |
|---|---|---|
| Wed 01/12 (Week 1) | Intro and Logistics | |
| Fri 01/14 | Misc. Exercises | FOPP 1: General Intro |
| Mon 01/17 (Week 2) | Operating, Unfolding Exercises | FOPP 2.1-2.9: Types, Variables |
| Tue 01/18 LAB 1 | A Preview of the End Goal | Homework 1 |
| Wed 01/19 | String and Type Exercises | FOPP 2.10-2.16: Statements, Expressions, Tracing |
| Fri 01/21 | Debugging Exercises | FOPP 3.1-3.8: Debugging |
| Mon 01/24 (Week 3) | Modules; Intro to Turtle | FOPP 4.1-4.4: Python Modules |
| Tue 01/25 LAB 2 | Input-Compute-Output | Homework 2 |
| Wed 01/26 | Turtle, OO, and for loops | FOPP 5: Python Turtle |
| Fri 01/28 | More Turtle Exercises | |
| Mon 01/31 (Week 4) | Sequences | FOPP 6.1-6.5: Sequences |
| Tue 02/01 LAB 3 | Generating a Password | (NO homework – study for exam) |
| Wed 02/02 | (Snow day) | |
| Fri 02/04 | Exam 1 Review | |
| Mon 02/07 (Week 5) | Exam 1 (chapters 1–5) | |
| Tue 02/08 LAB 4 | Random Turtle Circles | Homework 3 |
| Wed 02/09 | Exam 1 Solutions | |
| Fri 02/11 | Sequence Methods | FOPP 6.6-6.9 |
| Mon 02/14 (Week 6) | More About For Loops | FOPP 7.1-7.7: Iteration |
| Tue 02/25 LAB 5 | Computing Statistics with Kiva Data | Project 1: Graphing Kiva Data with Turtle |
| Wed 02/16 | Lab 5 Solutions/Review | |
| Fri 02/18 | Functions I | FOPP 8.1 (Conditionals) AND 12.1-12.5 (Functions) |
| Mon 02/21 (Week 7) | Conditionals I | FOPP 8.2-8.7: Conditionals |
| Tue 02/22 LAB | (Reserved for Project 1) | |
| Wed 02/23 | Conditionals II | 8.8-8.11: More Conditionals |
| Fri 02/25 | Student Activity Demo | |
| Mon 02/28 (Week 8) | Review for Exam 2 | |
| Tue 03/01 LAB | (Reserved for Project 1) | |
| Wed 03/02 | Exam 2 | |
| (Fri 03/04) | (Exam Day for 1st half-semester courses) | |
| (03/07 – 03/11) | (Spring Break) | |
| Mon 03/14 (Week 9) | Exam 2 Solutions; Review | |
| Tue 03/15 LAB | Project 1 | |
| Wed 03/16 | Functions II | 12.6-12.15: More Functions (R13) |
| Fri 03/18 | Transforming Sequences | FOPP 9.1-9.7: Transforming Sequences (R14) |
| Mon 03/21 (Week 10) | Transforming Sequences II | FOPP 9.8-9.14: Sequence Accumulator Patterns (R15) |
| Tue 03/22 LAB 6 | Substitution Ciphers | Homework 4 |
| Wed 03/23 | Transforming Sequences | |
| Fri 03/25 | Nested Iteration | FOPP 7.8-7.12: Nested Iteration (R16) |
| Mon 03/28 (Week 11) | Homework Presentations; More Iteration | FOPP 14: More About Iteration (R17) |
| Tue 03/29 LAB 7 | Image Processing | Homework 5 |
| Wed 03/30 | Advanced Image Processing | |
| Fri 04/01 | (Exam 3 – take-home) | Homework 5 Due |
| Mon 04/04 (Week 12) | File Processing | FOPP 10: Files (R18) |
| Tue 04/05 LAB 8 | Exploring Common Words and SETI | Homework 6 |
| Wed 04/06 | Exam 3 Solutions; Finish Lab 8 | |
| Fri 04/08 | (Guest Speaker: Emily Sheetz ‘18) | |
| Mon 04/11 (Week 13) | Dictionaries I | FOPP 11.1-11.4 (R19) |
| Tue 04/12 LAB 9 | Converting Roman Numerals | Homework 6 Due, Homework 7 Out |
| Wed 04/13 | Dictionaries II | FOPP 11.5-11.10 (R20) |
| (Fri 04/15) | (Easter Break) | |
| (Mon 04/18) (Week 14) | (Easter Break) | |
| Tue 04/19 LAB | Project 2: SO Developer Survey | |
| Wed 04/20 | Monte Carlo Simulations | |
| Fri 04/22 | Exam 4 Practice | |
| Mon 04/25 (Week 15) | Exam 4 | |
| Tue 04/26 LAB | (Scholar’s Day – No lab) | |
| Wed 04/27 | Exam 4 Review | |
| Fri 04/29 | FOPP 18: Test Cases, Homework 8 Out | |
| Mon 05/02 (Week 16) | FOPP 21: Building Programs | |
| Tue 05/03 LAB | Project 2 | Project 2 Due at Midnight |
| Wed 05/04 | FOPP 17: Nested Data and Nested Iteration | |
| Tue 05/10 11:30 AM | Exam 5 (Final) |
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