Programming Concepts I (Introductory Python; Python with Raspberry Pi)

Course Description

COP 1030 is a 3-credit introduction to programming in Python. The state records it under the statewide title Programming Concepts I: "basic programming concepts using the Python language for implementation and developing problem solving skills." The state lists no prerequisite. It is a lower-division, guaranteed-transfer course that may be taken through dual enrollment and earns elective credit in high school.

Three Florida public colleges carry the number COP 1030, and each gives it a different title:

• College of Central Florida: "Fundamental Programming Concepts"
• Hillsborough College: "Introduction to Python Programming"
• Palm Beach State College: "Python with Raspberry Pi"

⚠ The number has a twin at 2000 level. SCNS course equivalency is keyed to the prefix and the last three digits, so COP 2030 is the same statewide course. Three more public institutions carry it: the University of South Florida ("Programming Concepts I", the statewide title), Northwest Florida State College ("Programming in Python") and Indian River State College ("Introduction to Python"). That makes six public carriers in all, each at 3 credits.

All six teach the same core: Python syntax, variables and types, decisions, loops, functions, strings and lists, files, and the habit of breaking a problem down before coding it. They differ in two ways that matter to a student:

• Where the course sits in the sequence. At College of Central Florida and Palm Beach State it is a first programming course, taken after a computer-applications course (CGS 1100). At Hillsborough, Northwest Florida State and Indian River it is a second course that assumes COP 1000 or COP 2000. Indian River's version reaches dictionaries, sets, classes, inheritance, recursion and GUI programming.
• What the programs run on. Palm Beach State teaches the course on a Raspberry Pi, a low-cost single-board computer. Its catalog describes setting up the Pi, writing and running Python on it, and a series of projects with sensors and robotics aimed at Internet of Things devices. The Python is the same; the projects reach into hardware the other carriers do not touch.

With so few carriers, and these differences between them, read your own college's syllabus. The outcomes and topics below mark which items are common to all carriers and which belong to one reading.

Learning Outcomes

Required Outcomes

• Describe how a program executes: statements in order, the interpreter, input, processing and output.
• Analyze a problem and express a solution as an algorithm (pseudocode or a flowchart) before writing code.
• Write, run and debug Python programs in an IDE, distinguishing syntax errors, runtime errors and logic errors.
• Use variables, the core data types (int, float, str, bool), expressions, operators and type conversion correctly.
• Control program flow with if / elif / else decisions and Boolean logic.
• Use for and while loops, including counters, accumulators, sentinels and input validation.
• Define and call functions with parameters and return values, and explain variable scope.
• Manipulate strings and lists: indexing, slicing, iteration and common methods.
• Read from and write to text files.
• Write readable, documented code: meaningful names, comments, consistent style, and testing with planned inputs.

Optional Outcomes

• Raspberry Pi reading (Palm Beach State): set up a Raspberry Pi and its operating system, and develop and run Python on the device.
• Raspberry Pi reading: read sensors and drive outputs (LEDs, motors, buzzers) through the Pi's GPIO pins from Python, observing safe wiring practice.
• Raspberry Pi reading: build a small Internet of Things or robotics project that combines input, decision logic and output.
• Second-course reading (Indian River, and likely Hillsborough and Northwest Florida State): use dictionaries, sets and tuples to organize data.
• Second-course reading: define classes and objects, and use inheritance.
• Second-course reading: write recursive functions, and build a simple graphical user interface.
• Handle exceptions with try / except so a program fails gracefully.
• Import and use modules from the standard library (math, random, csv, datetime).

Major Topics

Required Topics

• How computers run programs; the Python interpreter; IDEs (IDLE, Thonny, VS Code)
• Problem solving and algorithm design: pseudocode, flowcharts, stepwise refinement
• Variables, data types, assignment, expressions, operators, type conversion
• Console input and formatted output
• Decision structures and Boolean logic
• Repetition structures: for, while, nested loops, range()
• Functions: definition, parameters, return values, scope, modular design
• Strings and string methods
• Lists: creation, indexing, slicing, iteration, list methods
• Text file input and output
• Testing and debugging; program documentation and style

Optional Topics

• Raspberry Pi reading: Raspberry Pi hardware and Raspberry Pi OS; the Linux command line; GPIO pin numbering; breadboards, resistors and LEDs; reading buttons and sensors (temperature, motion, distance); controlling motors and servos; the gpiozero library; IoT concepts
• Second-course reading: dictionaries, sets and tuples; classes, objects and inheritance; recursion; GUI programming (tkinter)
• Exceptions and error handling
• Standard-library modules; an introduction to third-party packages
• Simple data processing with CSV files

Resources & Tools

• Python 3 from python.org, with IDLE; Thonny, a beginner IDE that ships with Raspberry Pi OS; or Visual Studio Code with the Python extension.
• Commonly used introductory texts include Tony Gaddis, Starting Out with Python (Pearson), and John Zelle, Python Programming: An Introduction to Computer Science. Free options include Allen Downey, Think Python, and Al Sweigart, Automate the Boring Stuff with Python. Check your section's book list; colleges choose their own.
• Raspberry Pi reading: a Raspberry Pi kit (board, power supply, microSD card, breadboard, jumper wires, LEDs, resistors, buttons and sensors); the Raspberry Pi Foundation's free project guides; the gpiozero documentation.
• Online practice: Python Tutor (visualizes execution step by step, which is valuable for understanding loops and functions), and the official Python tutorial at docs.python.org.

Career Pathways

One programming course does not qualify anyone for a programming job. This course is the first rung of programming sequences in certificate and A.S. programs, and a foundation for transfer study in computing, engineering and data analysis. At College of Central Florida it appears in computer-information-technology and programming certificate programs. Occupations it starts students toward:

• Computer programmers (SOC 15-1251) and software developers (SOC 15-1252), after a full programming sequence
• Computer user support specialists (SOC 15-1232), where scripting is increasingly expected
• Data analysts and data technicians, where Python is the dominant language
• Raspberry Pi reading: electrical and electronic engineering technicians (SOC 17-3023) and IoT, automation and test roles, where small-computer prototyping is a practical skill

Florida's demand for programming skills spans defense and aerospace (Space Coast and Orlando), financial services in Tampa Bay and South Florida, healthcare systems, and simulation and training in Central Florida.

Special Information

Which course is this, and is it the right one?

Florida teaches introductory programming under many numbers. The ones a student is most likely to confuse with this one:

• COP 1000 / COP 1000C, Introduction to Computer Programming, is the most widely carried first course (15 public institutions for COP 1000). It often uses Python too, but it is a different number, so SCNS will not treat it as equivalent to COP 1030. The site has guides for COP 1000C and, separately, COP 1000.
• COP 2000, Introduction to Computer Programming, is a first programming course at another four institutions (also on this site).
• COP 2047, Python Programming (FIU, Palm Beach State, Eastern Florida State, Seminole State), is a separate Python course under its own number. ⚠ Palm Beach State carries both: COP 2047 is its general Python course and COP 1030 is its Raspberry Pi course. Check which one your programme requires.
• COP 1031C, Computer Programming and Data Literacy for Everyone (Florida Atlantic University), is an Excel-and-Python general-education course for non-majors. It is a different course despite the neighbouring number.

Transfer and articulation

The course is guaranteed to transfer to any institution that offers the same course, meaning COP 1030 or COP 2030. Credit transfers between the six carriers, but the content may not line up. A student who took the Raspberry Pi version and transfers to Indian River, where COP 2030 includes classes, recursion and GUI programming, has the credit without some of the material.

⚠⚠ This is not the computer-science major's first course. Universities build CS and computer-engineering degrees on their own first course, such as COP 3502 at UF or COP 3223 at UCF, or on the state's common prerequisites for the major. A Python concepts course usually transfers as elective credit. A student aiming at a computing bachelor's degree should check that university's common prerequisites before choosing a first course.

⚠ Florida's second programming course is where transfer paths break. The first course is well carried at 2000 level (COP 1000 and COP 2800 at 15 institutions each), and data structures recovers at COP 3530 (11 institutions). In between, the second programming course runs under COP 3014, COP 3337, COP 2510, COP 4530 and COP 3502, all with few carriers. Plan the second course with the destination university, not after arriving there.

Prerequisites differ by school

The state lists none. College of Central Florida and Palm Beach State require CGS 1100 (computer applications). Hillsborough and Northwest Florida State require COP 1000; Indian River requires COP 2000. The Hillsborough requirement comes from a third-party copy of its catalog, because Hillsborough's own catalog could not be reached; confirm it with the college.

Offering Notes

All three public carriers of COP 1030 carry it at 3 credits. Palm Beach State's 2020–21 catalog lists 3 lecture hours per week; no carrier publishes total contact hours. The guide uses 45 contact hours, Florida's convention for a 3-credit lecture course. The COP 2030 carriers are also all at 3 credits.

Course format and workload

Expect weekly programming assignments and 6–9 hours a week outside class. Programming is learned by writing programs, and the students who struggle are the ones who read the examples without typing and running them. In the Raspberry Pi version, budget for a hardware kit unless the college lends one, and allow extra time for wiring and troubleshooting circuits.

AI Integration (Optional)

AI coding assistants (ChatGPT, Claude, GitHub Copilot, Gemini) write correct introductory Python almost instantly, and that changes how this course has to be taken. The skills the course exists to build — tracing a loop by hand, decomposing a problem, reading an error message — do not develop if the assistant does the work, and they are exactly what exams and later courses test.

• Where AI helps: explaining an error message in plain words; explaining a concept a second way; generating extra practice problems; reviewing working code for style once you have written it yourself.
• Where it fails: it confidently uses features the course has not covered yet. It invents library functions. In the Raspberry Pi version it gives pin numbers and wiring for the wrong board revision or the wrong library, and a wiring mistake can damage hardware.
• Integrity: course AI policies vary by instructor and by assignment. Read the syllabus; when in doubt, ask, and disclose what you used.