Information Technology

  • Information Tecnhology (IT) offers the following courses and certifications:

IT Flow Chart
  • Computer Programming I

    This course intended to teach students the basics of computer programming. The course places emphasis on practicing standard programming techniques and learning the logic tools and methods typically used by programmers to create simple computer applications. Upon completion of this course, proficient students will be able to solve problems by planning multi-step procedures; write, analyze, review, and revise programs, converting detailed information from workflow charts and diagrams into coded instructions in a computer language; and will be able to troubleshoot/debug programs and software applications to correct malfunctions and ensure their proper execution.

    Grades: 10-12

    Prerequisites: Algebra I (B or better) Cherry Creek High School, Cherokee Trail High School, Eaglecrest High School, Grandview High School and Overland High School students interested in the IT/STEAM Pathway must take an introductory programming course at their home high school.

    Length: 1 Semester

    Credits: 1 Credit (1 CTE)

  • Introduction to Data Structures & Algorithms

    This course will cover the different ways data can be stored to more efficiently solve computing problems. Students will be exposed to a variety of techniques for developing and analyzing algorithms. Topics in this course may include, but are not limited to arrays, lists, maps, sets, graphs, trees, recursion, asymptotic notation, and proof techniques.

    Grades: 11-12

    Prerequisites: AP Computer Science A (or equivalent)

    Length: 1 Semester

    Credits: 1 Credit (.5 CTE / .5 Math C)

  • Cybersecurity I: Computer Systems

    This course will give students hands-on experience with computer hardware, operating systems, and software. Students will also learn the essentials of computer networks and how the internet works. Along the way, students will be exposed to a variety of security implications that impact our computer systems and society today. At the end of this course, students will be prepared to take the TestOut PC Pro and CompTIA A+ exam, credentials that demonstrate their ability to be able to diagnose and troubleshoot a variety of IT-related issues. Cybersecurity I is a course intended to teach students the basic concepts of cybersecurity. The course places an emphasis on security integration, application of cybersecurity practices and devices, ethics, and best practices management. The fundamental skills in this course cover both in house and external threats to network security and design, how to enforce network level security policies, and how to safeguard an organization’s information. Upon completion, proficient students will be able to demonstrate an understanding of cybersecurity concepts, identify fundamental principles of networking systems, understand network infrastructure and network security, and be able to demonstrate how to implement various aspects of security within a networking system.

    Grades: 10-12

    Prerequisites: One of the following: Computer Programming I (formerly Introduction to Programming or Introduction to Computer Science), AP Computer Science Principles, or AP Computer Science A

    Length: 1 Semester

    Credit: 1 Credit (1 CTE)

    Certifications: CompTIA A+, TestOut PC Pro

  • Cybersecurity II: Networks & Security

    In this course, students will dive deeper into networking and security concepts. Students will learn to design, implement, and troubleshoot issues for both wired and wireless networks. Students will also learn more about cryptography as well as security in business operations including risk management and disaster recovery. Students will be prepared to take the industry-recognized TestOut Network Pro, CompTIA Network+, and CompTIA Security+ exams. Cybersecurity II challenges students to develop advanced skills in concepts and terminology of cybersecurity. This course builds on previous concepts introduced in Cybersecurity I while expanding the content to include malware threats, cryptography, wireless technologies and organizational security. Upon completion of this course, proficient students will be able to demonstrate and understanding of cybersecurity ethical decisions, malware threats, how to detect vulnerabilities, principles of cryptology, security techniques, contingency plan techniques, security analysis, risk management techniques, and advanced methods of cybersecurity.

    Grades: 10-12

    Prerequisites: Cybersecurity I: Computer Systems

    Length: 1 Semester

    Credits: (.5 CTE / .5 Math D)

    Certifications: CompTIA Network+, TestOut Network Pro, CompTIA Security+, TestOut Security Pro

  • Cybersecurity III: Ethical Hacking

    In this course, students will learn to evaluate the security posture of target systems by exploiting their weaknesses and vulnerabilities in an ethical, lawful, and legitimate manner. Students will utilize their findings to make recommendations for strengthening the security of these target systems. This course will be based on the industry-recognized Certified Ethical Hacker certification and will prepare students for entry-level jobs in penetration testing and cybersecurity.

    Grades: 11-12

    Prerequisites: Cybersecurity I: Computer Systems and Cybersecurity II: Networks & Security

    Length: 1 Semester

    Credit: 1 Credit (1.0 CTE)

    Certifications

  • Data Science I: Foundations

    Students will learn the basic process of data science: collecting, manipulating, and visualizing data to drive decision making. Students will be exposed to each stage of the process from determining what constitutes good data to collect, techniques for cleaning and organizing it, tools that can be used for visualizing the data, the necessary statistical underpinnings for data analysis, and developing intellectual capital and communication skills for contextualizing and presenting key findings. Students will be exposed to a variety of tools useful in data science, which may include, but is not limited to Python and R programming languages, SQL, and machine learning APIs.

    Grades: 10-12

    Prerequisites: One of the following: Computer Programming I (formerly Introduction to Programming or Introduction to Computer Science), AP Computer Science Principles, or AP Computer Science A

    Length: 1 Semester

    Credits: 1 Credit (.5 CTE / .5 Math C)

  • Data Science II: Machine Learning

    This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.

    Grades: 10-12

    Prerequisites: Data Science I: Foundations

    Length: 1 Semester

    Credit: 1 Credit (.5 CTE / .5 Math C)

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Last Modified on June 1, 2021