ATI-UMW: Program of Studies 2025-2026 - Data & Computer Science

Data Science and Computer Science Principals

Course Code 3138/3186

Grades: 9-10

Prerequisite: None

1 Credit

Required Elective This course provides an introduction to the learning principles associated with analyzing big data. Through the use of open-source technology tools, students will identify and explore problems that involve the use of relational database concepts and data-intensive computing to find solutions and make generalizations. Students will engage in a data science problem-solving structure to interact with large data sets as a means to formulate problems, collect and clean data, visualize data, model using data, and communicate effectively about data formulated solutions.

The course is designed to focus on computational thinking practices, which enables students to engage with the course content by developing computational artifacts and analyzing data, information, or knowledge represented for computational use. The course will emphasize the following elements: connecting computing (to include creative computing), creating computational artifacts, abstracting, communicating, and collaborating.

AP Computer Science Principles

Course Code 3186AP

Grade(s): 9-12

1 Credit

Prerequisite: Algebra I (9th grade with B or better)

Required Elective Following the College Board's suggested curriculum designed to parallel college-level computer science principles courses, the AP CSP course will introduce students to the fundamental ideas of CS and how to apply computational thinking across multiple disciplines. This course will teach students to apply creative designs and innovative solutions when developing computational artifacts. This course will cover such topics as creative development, data, algorithms and programming, computer systems and networks, and the impact of computing.

Electives

Computer Science Programming with Python - Virtual Virginia

Course Code 3188V

Grade(s): 10

1 Credit

Prerequisite: Introduction to Computer Principles and Data Science

Elective Computer Science Programming with Python builds on the concepts introduced in the Computer Science Foundations and Computer Science Principles courses. Using the Python programming language, this course continues the study of computer programming and prepares students to write programs of increasing complexity to solve problems of personal interest and professional relevance in a variety of technical fields. Additionally, this course provides the knowledge and experience to prepare students for further studies in computer science. The majority of this course will address algorithms and programming.

This virtual course with Virtual Virginia is fully asynchronous and has its own academic calendar that does not perfectly align with the ATI-UMW calendar.

Health Informatics - Virtual Virginia

Course Code 8308V

Grade(s): 10

1 Credit

Prerequisite: Introduction to Computer Principles and Data Science

Elective In this course, students will have the opportunity to explore the importance of safeguarding electronic healthcare information. Students will be introduced to the various technologies and trends that affect the healthcare industry. Students will also explore aspects of health informatics, including the history of health information technology in the United States, the Electronic Health Record (EHR), ethical and privacy issues, and cybersecurity and data breaches.

This virtual course with Virtual Virginia is fully asynchronous and has its own academic calendar that does not perfectly align with the ATI-UMW calendar.

Introduction to Problem Solving and Programming

(Dual-Enrollment through Germanna Community College)

Course Code 6640DE

Grade(s): 10

1 Credit

Prerequisite: Introduction to Computer Principles and Data Science; 3.5 GPA

Elective Introduces problem solving and implementation of solutions using a high level programming language in a structured programming environment. Includes concepts and practice of structured programming, problem-solving, top-down design of algorithms, a high level programming language syntax, control structures, arrays, and an introduction into object oriented programming. First course in a three-course sequence (CSC 221, CSC 222, CSC 223). The assignments in this course require mathematical problem solving skills, algebraic modeling and functions, and use of variables.