Last Updated: Fri, 08/01/2025 Syllabus PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission. General Class Information Academic year: 2025 Semester: Spring Course prefix: PSYC Course number: 3803 Section: C CRN 34628 Instructor first name: Eunbee Instructor last name: Kim Class Details Course description: This course introduces students to programming in Python and R, emphasizing their applications in data science, statistical analysis, and machine learning. Students will gain practical experience through hands-on coding, real-world projects, and comparative analysis of the two languages. Academic honesty/integrity statement: All work for this class is to be done individually. You are strongly urged to familiarize yourselves with the GT Student Honor CodeLinks to an external site. rules. Specifically, the following is not allowed:Copying, with or without modification, someone else's work when this work is not meant to be publicly accessible (e.g., a classmate's program or solution).Submission of material that is wholly or substantially identical to that created or published by another person or persons, without adequate credit notations indicating authorship (plagiarism).Putting your projects on public Github. Otherwise, if a student (in the future) copies your codes/projects, the student obviously violates the honor code but you will also be implicated.Academic IntegrityStudents are expected to uphold the highest standards of academic integrity. Any form of cheating, plagiarism, or dishonesty will not be tolerated and may result in disciplinary action.Zero Tolerance Policy on Cheating and AI Assistance (e.g., Chat GPT, Gemini)We maintain a strict zero-tolerance policy regarding academic dishonesty, including the use of ChatGPT and other AI tools. Any student found using AI to complete assignments/quizzes/exams will be reported immediately, receive a grade of zero for the submission, and risk a final grade of F.Disability AccommodationsIf you require any accommodation due to a disability, please inform the instructor at the beginning of the course to ensure that appropriate arrangements can be made.