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Provost - Program Fee Courses
INTR-D 601 Integrative Biosciences Graduate Program Seminar +
Description:
The goal of this course is to introduce the students to the theory and practice of interdisciplinary research in the areas of biochemistry, biophysics, and bioinformatics. The course will consist of two main components; in the first half of the course, participating IBGP faculty will describe their research projects. IBGP faculty laboratories can also be represented by postdoctoral fellows or advanced graduate students. Each faculty presentation will be followed by a class discussion of a paper from that laboratory that includes an interdisciplinary approach and/or a collaboration between laboratories working in different disciplines. In the second half of the course, each student will present a paper on an interdisciplinary topic. Throughout the course, emphasis will be on the collaborative and interdisciplinary nature of research in the biosciences. More Info
Offered in:- TBA
INTR-D 602 Introduction to Quantitative Research Methods using R +
Description:
This is a workshop-based course that draws material from two SAGE campus courses, Introduction to R and Practical Data Management with R to teach statistical concepts and methods for quantitative research methods using the public domain software R. This course will have two main foci. The first is a statistical focus that includes descriptive and inferential statistical concepts and the interpretation of statistical results. The second is applied quantitative data management and analysis in R, an open-source software that allows researchers to perform a wide variety of procedures. A primary goal of the course is to provide students with a near-complete foundation to use R for all commonly encountered tasks in political, social, economic and health science research. The course is designed to be relevant to a wide range of disciplinary graduate programs. More Info
Offered in:- TBA
INTR-D 603 Data Analysis with Python +
Description:
This is a workshop-based course that draws material from two sequential SAGE campus courses, Introduction to Python and Intermediate Python Skills. This beginner-level course requires no prior experience. It provides an introduction to the Python programming language with applications in statistical analyses using practical examples in the social sciences. It starts with the fundamentals of Python programming and explores the different types of data and methods that students are likely to encounter as they work through real life statistical cases, including the basics of statistical theory and hypothesis tests. Topics covered include: how to download and install Python, Anaconda, and PyCharm software, core elements of the Python programming language, importing and exporting data files from multiple sources, preparing data for analysis, cleaning and transforming data using NumPy and Pandas, to writing functions for data analysis, creating meaningful data visualizations, how to do web scraping using HMTL and Beautifulsoup4, and statistical concepts including hypothesis test and modeling. Throughout this course, the content is reinforced through applications of social science-based examples and case studies with Python programs to teach students how to make methodologically appropriate decisions. More Info
Offered in:- TBA
INTR-D 697 Special Topics +
Description:
An advanced course offering intensive study. Course content varies according to the topic and will be announced prior to the advance pre-registration period. More Info
Offered in:- TBA
INTR-D 899 Doctoral Dissertation Research +
Description:
Conduct research within the student's area of specialization. Course content varies according to the student's PhD dissertation topic. More Info
Offered in: