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¸£Àû±ÆÕ¾ Catalog 2025-2026

Search Results

Genetics and Genomics (MR)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-mr/

...Genomics data. Examples of potential courses are: BIO 562 Fundamentals of Bioinformatics , BIT 815 Advanced...

Genetics and Genomics (MS)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-ms/

...Genomics data. Examples of potential courses are: BIO 562 Fundamentals of Bioinformatics , BIT 815 Advanced...

Genetics and Genomics (PhD)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-phd/

...Genomics data. Examples of potential courses are: BIO 562 Fundamentals of Bioinformatics , BIT 815 Advanced...

BEC 562 Fundamentals of Bio-Nanotechnology

µþ·¡°äÌý562/°ä±á·¡Ìý462/°ä±á·¡Ìý562/µþ·¡°äÌý462ÌýÌýFundamentals of Bio-NanotechnologyÌýÌý(3 credit hours)ÌýÌý

Concepts of nanotechnology are applied in the synthesis, characterization, recognition and application of biomaterials on the nanoscale. Emphasis will be given to hands-on experience with nanostructured biomaterials; students will also be familiarized with the potential impact of these materials on different aspects of society and potential hazards associated with their preparation and application.

Typically offered in Spring only

CHE 562 Fundamentals of Bio-Nanotechnology

°ä±á·¡Ìý562/µþ·¡°äÌý462/µþ·¡°äÌý562/°ä±á·¡Ìý462ÌýÌýFundamentals of Bio-NanotechnologyÌýÌý(3 credit hours)ÌýÌý

Concepts of nanotechnology are applied in the synthesis, characterization, recognition and application of biomaterials on the nanoscale. Emphasis will be given to hands-on experience with nanostructured biomaterials; students will also be familiarized with the potential impact of these materials on different aspects of society and potential hazards associated with their preparation and application.

Typically offered in Spring only

BIO 562 Fundamentals of Bioinformatics

µþ±õ°¿Ìý562ÌýÌýFundamentals of BioinformaticsÌýÌý(3 credit hours)ÌýÌý

Almost every aspect of modern biology involves large-scale datasets and computational analyses. This course will cover some of the basic theoretical and practice background needed to understand and use computational tools for biological analyses. The course will feature a mixture of lecture, activity-based and hand-on computational analyses using the LINUX operating system. A background in biology or computer science is recommended.

Typically offered in Fall only