№ lp_2_1_19356
Graduate-level course syllabus detailing objectives, schedule, grading, prerequisites, instructors, and policies for data science applications in biomedical and clinical research.
Year: 2025
Term: Fall
Location: TBD
Course Hours: Thursday 12:50 – 3:50 PM
Instructors: Mamoun Mardini, MS, PhD
Department: Malachowsky Hall for Data Science and Information Technology
Credits: 3
Prerequisites: Basic computer skills, prior experience with data management tools, Python programming
Course Type: Graduate-level course
Target Audience: Graduate students in biomedical or clinical research fields
Grading Composition: Attendance 5%, Homework & Quizzes 40%, Midterm 25%, Final Project 30%
Textbooks/Materials: Lecture handouts distributed by instructors
Policies: Attendance mandatory, academic honesty required, accommodations for disabilities available
Course Objectives: Introduction to data science concepts and techniques in biomedical and clinical research, data life cycle, database design, quality assurance, big data analytics
Price: 8 / 10 USD
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