CMSC 105 at the University of Maryland Global Campus is an applied introduction to Python programming for students with little or no coding experience.
UMGC's current title is Introduction to Programming in Python (the course was formerly CMIS 102). Its objective is to create programs using variables, basic data types, conditionals, loops, functions and lists.
Hands-on work includes writing, testing and debugging code, applying basic secure programming practices, building programs incrementally, and using AI tools to support comprehension and refinement.
For many students it is the first time they have to think like a computer: precisely, step by step. Syntax errors are easy to fix; the real learning curve is breaking a problem into small steps and testing each one.
Course at a Glance
| Item | Details |
|---|---|
| University | University of Maryland Global Campus (UMGC) |
| Course code | CMSC 105 (3 credits), formerly CMIS 102 |
| Level | Undergraduate, introductory |
| Language | Python |
| Credit note | Credit for only one of CMIS 102, CMIS 102A, CMSC 101 or CMSC 105 |
| Typical work | Short programs, debugging exercises, incremental projects with explanations |
What CMSC 105 Covers
| Topic | What it means |
|---|---|
| Variables and data types | Storing numbers, text and true/false values |
| Conditionals | Making decisions with if, elif and else |
| Loops | Repeating work with for and while |
| Functions | Packaging steps into reusable, named blocks |
| Lists | Storing and processing collections of values |
| Testing and debugging | Finding and fixing errors methodically |
| Secure habits | Validating input and handling errors safely |
Key Concepts Explained
Building Incrementally
Write a few lines, run them, check the output, then add more. Small steps make errors easy to locate.
Example: To average a list of test scores, first print the list, then compute and print the total, then divide by the count. If the final average is wrong, you already know the total was right, so the error is in the division step.
Functions
Example:
def average(scores): if len(scores) == 0: return 0 return sum(scores) / len(scores)
The check for an empty list prevents a division-by-zero crash, a simple example of defensive programming.
Validating Input
Never assume a user types what you expect. Converting input inside a try block and asking again on failure keeps a program from crashing and is a first step towards secure coding.
Typical Assignments and How to Approach Them
| Assignment type | What it tests | How to approach it |
|---|---|---|
| Short programs | Using core constructs correctly | Plan steps in plain words before coding |
| Debugging tasks | Reading errors and tracing logic | Read the error line, print values, test one fix at a time |
| Incremental project | Combining concepts | Build and test one feature per step |
| Explanations | Understanding your own code | Describe what each part does and how you tested it |
Using AI Tools the Right Way
UMGC's description explicitly includes using AI tools to support comprehension and refinement. That framing matters: AI is there to help you understand and improve code, not to produce it for you.
Good uses include asking an assistant to explain an error message, to describe what a line of code does, or to suggest test cases you missed. Always follow your instructor's rules on AI use and disclose it when asked. If you cannot explain a line in your program, you are not ready to submit it.
Planning Before You Code
Writing an algorithm in plain steps before coding saves time. For a program that grades a list of scores, the plan might be: read the scores, check each is a valid number between 0 and 100, compute the average, then print a letter grade.
Each step becomes a small piece of code you can test on its own. Turning the steps into comments at the top of your file also gives you ready-made documentation, and makes it easier to explain your program if the assignment asks how it works.
Where Students Get Stuck
- Indentation errors. Python uses indentation for structure; be consistent with spaces.
- Off-by-one loops. Check where
range()starts and stops. - Writing everything at once. Build and run in small steps.
- Not testing edge cases. Try empty input, zero and unexpected text.
Study Tips for CMSC 105
- Type examples yourself rather than copying them; muscle memory helps.
- Keep a log of errors you met and how you fixed them.
- Write the steps of a solution as comments, then fill in the code.
- Practise a little every day rather than in long weekend sessions.
How We Help with CMSC 105
Send the assignment instructions, your code, any error messages and the rubric. A programming tutor can explain a concept, walk through your logic, help you debug, or provide a commented model example of a similar problem to learn from.
GradeEssays is independent of the University of Maryland Global Campus. Our help is tutoring and model material within UMGC's academic integrity policy; code you submit must be your own and meet your instructor's rules.
Understand Your CMSC 105 Python Code
Share the prompt and your attempt. A programming tutor walks you through the logic and debugging step by step.
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Frequently Asked Questions
Python. UMGC's current title is Introduction to Programming in Python.
CMSC 105 was formerly CMIS 102. UMGC allows credit for only one of CMIS 102, CMIS 102A, CMSC 101 or CMSC 105.
No prerequisite is listed in UMGC's description; the course starts with variables and basic data types.
UMGC's description includes using AI tools to support comprehension and refinement. Follow your instructor's specific rules on how and when.
CMSC 105 (or CMIS 102) is the prerequisite for CMSC 115, which moves on to Java.
We explain, help you debug and give model examples of similar problems, but the code you submit must be your own.