Guidelines and Rubric Overview In this computer science course, you will have the opportunity to explore introductory types of coding and the computational thinking that computer scientists engage in when they design solutions to social and business problems. As you work through the requirements and constraints of certain problems, you will choose the data structures, algorithms, and program organizations you need to achieve optimal, accurate results. In addition, you will explore some of the most important topics in contemporary computer science. Thinking about who you are and who you want to be in relation to those topics will ultimately help you build a professional computer science identity. These are the fundamental building blocks you will take with you as you progress into more advanced and complex computer science courses. There are two parts to the final project in this course. In the first part, you will choose three activities you have completed during the course and gather them into a collection of problem-solving activities. One activity will demonstrate input/output problem solving using flowcharts, another will demonstrate the creation of control structures, and the last will be an activity of your own choosing something that you found particularly interesting or challenging. In the second part of their final project, you will write a professional reflection on who you are and who you want to be in the computer science field. By positioning yourself in relation to key topics in contemporary computer science, you will begin a professional journey into this dynamic discipline. The project is divided into three milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Modules Three and Five. The final product will be submitted in Module Seven. In this assignment, you will demonstrate your mastery of the following course outcomes: • Develop a fundamental computer scientist identity through reflecting on the role of computer science and scientists in modern society ● ● ● Explain how data structures and algorithms inform the way computer scientists think about data and its organization Apply basic programming best practices to essential computer science tasks Develop basic problem solving skills in a programming context using industry standard tools Final Project Part I Prompt In the first part of your final project, you will collect three different activities that represent three different problems that you grappled with during this course. The first activity should represent input/output problem solving using flowcharts, the second activity should be related to the creation of control structures, and the third activity should be a problem of your choice that you found particularly interesting or challenging. Using the feedback provided by your instructor and your peers, you will address any issues and make them as perfect as you can. You will annotate your code and submit the text files using Python best practices. Specifically, the following critical elements must be addressed: 1. Submit your input/output activity that uses a flowchart or pseudocode. Note that this is where you submit our flowchart or pseudocode. A. Describe the programming best practices you used in accurately completing this task by annotating your code: Include where best practices were implemented and why you used them. B. Explain the problem-solving approaches you employed while completing this task. Include this information in your code annotations, and be sure to address the tool(s) you used to complete this task. C. Explain in your code annotations why the algorithm and data structure you ultimately chose to accurately complete this task provided the most efficient solution to this problem. II. Submit your control structures activity. A. Describe the programming best practices you used in accurately completing this task by annotating your code: Include where best practices were implemented and why you used them. B. Explain the problem-solving approaches you employed while completing this task. Include this information in your code annotations, and be sure to address the tool(s) you used to complete this task. C. Explain in your code annotations why the algorithm and data structure you ultimately chose to accurately complete this task provided the most efficient solution to this problem. III. Submit an activity of your choice that you found particularly interesting or challenging. A. Describe the programming best practices you used in accurately completing this task by annotating your code: Include where best practices were implemented and why you used them. B. Explain the problem-solving approaches you employed while completing this task. Include this information in your code annotations, and be sure to address the tool(s) you used to complete this task. C. Explain in your code annotations why the algorithm and data structure you ultimately chose to accurately complete this task provided the most efficient solution to this problem. Milestones Milestone One: Collection of Problem-Solving Activities In Module Three, you will submit pseudocode or a flowchart for a basic input/output program. This milestone will be graded with the Milestone One Rubric. Milestone Two: Control Structures and Chosen Topic Significance In Module Five, you will submit a control structure activity a description of the significance of your chosen topic in contemporary computer science. This milestone will be graded with the Milestone Two Rubric. Final Submission: Collection of Problem-Solving Activities (Part I) and Professional Reflection (Part II) In Module Seven, you will submit your final project. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded with the Final Project Rubric.

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Guidelines and Rubric Overview In this computer science course, you will have the opportunity to explore introductory types of coding and the computational thinking that computer scientists engage in when they design solutions to social and business problems. As you work through the requirements and constraints of cer