Research Writing

This course is focused on creating written products that are discipline specific and based on original research. Students will read and analyze research papers within their fields; practice writing abstracts, various sections of research reports, and posters for presentations, as well as other products. The course will consist of tasks associated with the academic writing process, and throughout, there will be an emphasis on the conventions of academic written English, including grammatical concepts, vocabulary and highly frequent collocations.

OralComprehensionAcad&ProGenre

The course emphasizes the mastery of listening skills and note-taking with a focus on current topics and controversial issues presented in academic and professional lectures, as well as other oral genres. Students will listen to academic/professional lectures and other authentic listening materials and demonstrate comprehension and critical thinking through taking detailed notes, reflective writing, and participating in discussions.

Voc&Cmprhn Acad Engl

Increases the size and expands the range of vocabulary of advanced ESL students for academic writing, speaking, and listening. Develops fluency through study and practice of lexical phrases. Promotes mastery of the University Word List, developed by researchers, of the most frequently found words in authentic texts in various academic disciplines.

Secondary Data Analysis in Epi

Population-based epidemiologic datasets provide critical public health metrics and are used to assess population-level health, set public health priorities, conduct research, and in a variety of other public health activities. This course provides an overview of different existing population-based epidemiologic datasets and introduces students to accessing, analyzing, and interpreting population-based data.

IntermedEpidemiologicalMethods

In this course, we will explore key methodological concepts in epidemiological research, including problem conceptualization, study design, human subjects research approval, subject selection, recruitment, and retention, data measurement and collection, major sources of bias and error, data analysis, and interpretation of results.
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