AMCS5999 - Independent Study
Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.
AMCS9999 - Ind Study & Research
Study under the direction of a faculty member.
MATH5999 - Independent Study
Study under the direction of a faculty member. Hours to be arranged.
OIDD4770 - Intro To Python Data Sci
The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.
STAT4770 - Intro To Python Data Sci
The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.
STAT9800 - Intro to Biomed Data Science
This course offers a comprehensive introduction to biomedical data science research,
tailored for graduate students from Statistics and various interdisciplinary domains.
Aimed at facilitating end-to-end data science research capabilities, this course covers
the development and application of computational methods and statistical techniques
for analyzing voluminous datasets, particularly in biology, healthcare, and medicine.
Students will gain insights into various data types prevalent in biomedical research,
emerging large-scale data resources, and the art of formulating scientific questions.
The course encompasses methodology research, scientific research, collaborative
research, computing tools, software development, as well as scientific writing,
including both research papers and grant proposals. By the end of the course, students
will be equipped with the foundational skills and knowledge required to excel as
statisticians and research scientists, whether they choose to pursue a career in industry
or academia.
Prerequisite:
For students from the STAT department, this course is tailored for those who have successfully completed the qualifying exam and are ready to embark on their research journey. Exceptions for first-year students will be considered on an individual basis.
For master's or Ph.D. students from other departments or programs, such as AMCS, the
prerequisites will differ based on their specific curriculum. At a minimum, students should have master-level expertise in one or more of the following areas: applied mathematics and probability, computing and software development, web development, bioinformatics,
biostatistics, epidemiology, computational biology, genetics/genomics, neuroscience,
radiology, and medical imaging.
STAT9910 - Sem in Adv Appl of Stat
This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.
STAT9950 - Dissertation
Dissertation
