Courses
I will be teaching one course this summer and three courses this upcoming Fall semester at UMD. Please sign up for these courses on the University ELMS website. If you have any specific questions regarding the course topics or any other concerns, feel free to email me at any time.
CMSC 320: Introduction to Data Science
Semester: Summer
Offered: 2024 (May 24 - July 05)
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of what data science means and systems and tools commonly used for data science, and illustrates the principles of data science through several case studies.
DATA 602: Principle of Computer Science
Level: Grad Course, Semester: Fall
Offered: 2024
Restriction: Must be in one of the following programs: (Data Science Post-Baccalaureate Certificate, Master of Professional Studies in Data Science and Analytics, or Master of Professional Studies in Machine Learning). Cross-listed with: BIOI602, MSML602.Credit Only Granted for BIOI602, DATA602, MSML602, or CMSC641.
Formerly: CMSC641.
CMSC 499A: Independent Research
Level: Grad Course, Semester: Fall
Offered: 2024
The Independent Research Project requires that students write a preliminary proposal explaining what they expect to accomplish during their research project. A student may engage in research by either serving as an assistant to an ongoing project that has been initiated by a faculty member, or he or she may initiate his or her own research project with a faculty sponsor.
Restriction: Students are expected to have completed CMSC330 / CMSC351 prior to taking CMSC499A.
CMSC 320: Introduction to Data Science
Semester: Fall
Offered: 2024
An introduction to the data science pipeline, i.e., the end-to-end process of going from unstructured, messy data to knowledge and actionable insights. Provides a broad overview of what data science means and systems and tools commonly used for data science, and illustrates the principles of data science through several case studies.
DATA 200: Knowledge in Society: Science, Data and Ethics
Semester: Fall
Offered: 2024
Prerequisite: STAT100, MATH135, or any 400-level STAT course.
The course is dedicated to the study of ethical issues associated with data science, including data collection, gathering existing data, ethical use of data, data analysis with teams, repeatability and reproducibility of data analysis, and academic and scientific integrity.