
Amy Quarkume, PhD
Dr. Amy Quarkume is a faculty member in the Africana Studies Department.
Intro to the Black Digital World: African origins of math & CS, basic Python, data science, and visualization of diverse Black world data.
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The HELLO BLACK WORLD curriculum has been designed for students of African descent who want to explore and develop data and computer science competencies centered around the presence of African contributions and the imagination. The curriculum addresses computer science, data science, the visualization of diverse data types, digital humanities, ethics, and communications within the Black world with a social justice lens. No previous programming or statistical background is assumed.
The Intro to the Black Digital World course introduces students to the African Origins of Mathematics and Computer Science, basic Python, data science and visualization of diverse data types within the Black world (e.g. text, numbers, images).
Upon successfully completing the course, learners will be able to:
No coding or statistical background required. Students will need a Windows, Mac, or Linux laptop with Wi-Fi or internet access. You must have admin/root permission to install and modify software on your computer, work laptops with access restrictions will not work.

Dr. Amy Quarkume is a faculty member in the Africana Studies Department.
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Your grade is determined as follows: Participation (10%), Discussion/Activities (10%), Python Problem Sets (30%), Midterm Exam (20%), and Final Project (30%). You must earn a C or higher to receive credit. Graduate students must maintain a B average overall.
Students are expected to attend all sessions and participate in discussions and group projects. If you miss a scheduled midterm or final exam, you must obtain instructor approval for a substitute exam or receive a grade of zero.
The course spans 15 modules covering African origins of mathematics and computation, Python programming fundamentals (functions, data types, strings, lists, variables, files), data analysis (central tendencies), and data visualization and storytelling. See the full syllabus for the complete schedule.