Arkansas Introduction to Computer Science

Course Overview

To view the entire syllabus, click here or click to explore the full course.

MODULES - 15

• Python Basics and Console Interaction

  Students learn the basics of programming by writing programs that interact with users through the keyboard.

• Python Conditionals

  Students teach their programs to make decisions based on the information they receive.

• Python Looping

  Students learn how to write more efficient code by using loops as shortcuts.

• Python Functions and Exceptions

  Students learn how to decompose problems into smaller pieces that work together to solve a problem.

• Python Data Structures

  Students learn how tuples and lists are formed and the various methods that can alter them.

• Python File I/O

  Students learn to read, write, and process information from text files.

• The Data Science Life Cycle

  Students will be introduced to the field of data science by exploring the role of a data scientist and the iterative steps of the data science life cycle. They will learn and apply the process, which includes asking statistical questions, collecting or obtaining reliable data, analyzing the data, and summarizing the results.

• Data Ethics

  Students will explore ethical considerations in the field of data science. This module focuses on teaching students about data privacy and how to work with data responsibly.

• Cybersecurity and You

  Students delve into key areas such as personal data collection, the reliability of online information, cyber ethics and laws, personal data security, cybersecurity essentials, and strategies to combat common cyber threats and their prevention, equipping individuals with the knowledge to navigate the digital landscape responsibly and securely.

• Emerging Technology

  Students will explore key technologies shaping the digital world. Topics include the evolution of cryptography, the roles of human and artificial intelligence, cloud and edge computing, the impact of the internet, and the foundations of blockchain. Together, these lessons highlight how computing innovations continue to transform society.

• Training AI Models

  In this hands-on module, students will learn how to train AI models and will explore the use cases for AI in various industries.

• System Administration

  Students compare and contrast common operating systems (Windows, Linux, OS) and explain the importance of application security. They will investigate security options and implement user accounts to enforce authentication and authorization. Students will also demonstrate how to work with basic and advanced command prompts.

• IT Concepts

  Students explore the structure and design of the internet and networks, and how this design affects the reliability of network communication, the security of data, and personal privacy. Students will learn how the Internet connects computers all over the world by using networking protocols.

• IT Infrastructure

  Students learn about the physical elements of computers and networking, such as motherboards, RAM, routers, and the use of port numbers, Ethernet, and wireless devices.

• Professional Skills

  Students will prepare for future academic and career opportunities by exploring student organizations, building strong resumes and interview skills, and creating professional portfolios. These lessons help students develop the tools and experiences needed to showcase their strengths and achieve their goals.