The basic principles of genomics, proteomics and bioinformatics will be taught through a semester-long project of the students choosing. Creative problem solving in science skills will be learned through a variety of active-learning techniques that include: reading of primary literature, group presentations, peer review, bioinformatic lab exercises, science communication skills (writing visualization), and creating a website. Emphasis will be placed upon how to effectively communicate science (written, oral and written). Topics include: genomic sequencing, phylogeny, domain analysis, transcriptomics, CRISPR screens, chemical genomics, quantitative proteomics and protein networks. Capstone course.
Advanced Genetics is a capstone course covering principles of classical and modern genetic analysis via scientific literature readings and group projects.
Clinical cases in medical genetics covering risk genes, diagnostics, and therapies for disorders like cystic fibrosis, achondroplasia, and Retts syndrome.
Advanced genetics course on genetic mechanisms of animal embryonic development, focusing on molecular circuitries, pattern formation, organogenesis, and animal models of human congenital disorders.
Students reported that assignments were created randomly three days before deadlines, and lectures involved 1-2 hour pre-lectures plus in-class work rather than traditional teaching.
A course on genetic and physiological models for studying adult tissue stem cells in living organisms, focusing on their role in tissue integrity and regulation.
Advanced Genetics II provides professional-level training in genetic mechanisms and analysis applied to transmission, expression, molecular, genomic, developmental, and epigenetic topics.
Foundations of Genetics Research provides tools for advancing graduate research, including shaping questions, using databases, and basic computational biology skills.
Quantitative Research and Rigor in Genetics reviews statistical concepts for genetics research, applies computational methods via software and coding, and emphasizes study design, transparency, and reproducibility.
Readings were interesting and helped students expand their knowledge significantly, though specific workload metrics beyond reading assignments were not detailed in the reviews.
Introduction to public health genomics covering fundamental genetics, use of genetic info in clinical/research settings, disease management, prevention, and health promotion.
Explores functional genomics methods like RNA-seq and ChIP-seq applied to brain development, evolution, and neuropsychiatric disorders, emphasizing bioinformatics and research proposal development.
Computing-intensive course covering genetic mapping research, linkage analysis, QTL mapping in designed crosses, and genome-wide association studies (GWAS).
An introduction to human geography exploring economic, political, social, cultural, and technological dynamics driving interrelationships and divisions in space.
Introductory overview of geoscience technologies including GPS, Google Earth, satellite imagery, and GIS, focusing on geospatial data collection, representation, and critical evaluation of spatial maps.
Assignments were few and clearly instructed, with generous time to complete work. Exams and quizzes carried heavy weight, featuring random questions from a bank that varied in difficulty.
Survey of development and change in world regions, focusing on environment, society, history, economy, demographics, culture, politics, and future challenges.
Grading focused on main ideas and applied knowledge rather than busy work, with students noting that writing assignments were manageable and not expected to be journal-worthy.
Introduces the human geography and history of Southeast Asia, focusing on political issues, spatiality, and how ethnicity and indigeneity manifest in the region and among Southeast Asians in the U.S.
Introduction to Cartography covers the theory and practice of map-making, including mapping basics, data acquisition, thematic mapping techniques, and cartographic abstraction and design.
An undergraduate colloquium orienting students to geography as a scholarly discipline, covering its development, concepts, methods, and research skills.
Introduction to theory, techniques, and analytical methods for geospatial big data, covering storage, processing, analysis, and visualization using advanced Python programming.
Examines user interface design for manipulating maps, focusing on Interactive Cartography, Geographic Visualization, and Geovisual Analytics with insights from HCI and Usability Engineering.
Principles and algorithms for spatial analysis in GIS, covering point, line, polygon processing, interpolation, smoothing, overlay, query, network, terrain analysis, and classification.