CourseCatalog

Advanced Topics in Ocular Bioscience GM254A

2.0 Credits This Advanced Topics course will cover selected topics in the cellular and molecular systems that support the living eye, and related pathologies. Topics may include cellular and molecular mechanisms for homeostasis and protein expression, immune response, pathologies caused by diabetes, glaucoma, etc., and methods of measurement including imaging at various spatial scales. The course will be taught in mixed format including both lecture and seminar format (student presentation of papers). All students are expected to read all assigned papers carefully before class and participation in class discussion is a component of evaluation, as well as critical reviews, papers, and/or exams. Prerequisite: Permission of Instructor.

G300 Level Courses Independent Study GE307

1 Credit Per 2 Hours of Independent Study Per Week. Hours: Variable

Prerequisites: Permission of Graduate Faculty Advisor . Data Science Methods for Vision Science Applications GE321A

2.0 Credits Data Science Methods for Vision Science Applications will provide students with an overview of current data science tools and methodology while using datasets from various fields of vision science. Data Science is a fast-growing inter disciplinary collection of algorithms, tools, and technology used to gain insights from the increasingly large and complex data generated in this digital age. Vision science and visual neuroscience have also seen a rapid increase in the volume of data generated. (e.g., neural recording arrays, imaging data, etc.) This creates a new challenge for today’s graduate student: learning the field is complicated by increasingly complex data. The aim of this course is to introduce students to some of the tools and techniques from data science to meet the growing demands of today’s vision science. Prerequisite : Some knowledge of Python; PhD students. Intro to Scientific Writing GE322A 2.0 Credits This course is an introduction to learn how to write scientific texts including (1) proposals (incl. an introduction of proposals and their structure), (2) abstracts (conference abstracts or paper abstracts), (3) manuscripts (with focus on research paper) as well as (4) the thesis. This course will highlight similarities and differences of the different forms of scientific texts, their structure (that is mostly given by organizations or journals or institutions) and how to create them (from brainstorming to outline to paragraphs). The usage of accurate scientific terms will also be introduced. The students will read texts from their field of expertise and will practice writing their own texts based on their lab work. Prerequisite : Permission of instructor

G400 Level Courses

Research (for all PhD students) GD401

1 Credit Per 2 Hours of Research Per Week. Hours: Variable

Prerequisite: For all PhD students. Permission of Graduate Faculty Advisor.

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