The Oral Final is a one-on-one, 20- to 30-minute conversation with your instructor. You will discuss familiar course concepts and completed work. The goal is to explain what you understand in your own words—not to memorize long definitions or write new code during the meeting.
The final will take place either in a meeting room in iTEC at the NTC Wausau campus or remotely through a Slack video call.
Have the following items ready before the meeting.
You may choose an object, activity, class, sequence, or other completed UML diagram from the course. Be ready to open it and explain what it communicates.
Run the application before the meeting and confirm that it opens. Be ready to show and discuss one feature that helped you understand how a digital system works.
You may bring one sheet of notes. Creating the sheet can help you organize the connections among course topics, even if you do not need to use it during the conversation.
Prepare to answer every question below. These are the questions your instructor will use during the final.
What is an object diagram, an activity diagram, and a class diagram used to show? Give one brief Parcheesi example for each diagram type.
Using the UML diagram you brought, explain two choices you made in the model. What does each choice help the reader understand? Describe one change you made—or would make—to improve the diagram.
In a web color written as #RRGGBB, what do the three pairs represent? Use #3366CC as an example, and explain which pair you would change to make the color contain more red.
Show one feature in your First Day application. What starts the feature, what information does the program use, what does it do with that information, and what result does the user see?
What is the difference between information held in memory while a program runs and information saved in a file? Use the shopping list or course CSV feature from First Day as your example.
Using the First Day weather feature, identify the client and the server. What information is sent in the request, and what information returns in the response?
Suppose an AI tool makes a factual claim about an IT topic. How would you decide what needs checking, choose an authoritative source, compare the evidence with the claim, and decide whether to accept, revise, verify further, or reject the output?
Bring your UML diagram, working First Day solution, and optional note sheet. Answer the published questions in your own words and use your course work when requested.
The final few minutes are reserved for connection and advising. These prompts do not have one correct answer. They help you and your instructor discuss your experience and plans.
Which course skill or idea are you most confident about now? Which one would you like to continue improving?
Which course topic, IT role, or type of work interested you most? How might it connect to a future course, program goal, or career direction?
What questions do you have about the program, upcoming courses, your progress, or resources that could help with your next steps?