INFO 302. Bioinformatics-I. 3 Hours.

Introduction to bioinformatics and methodologies, with emphasis on concepts and application of informatics tools to molecular biology. Focus on experimental models to collect data from genomics, transcriptomics and proteomics, applied statistics when it relates to experimental design, construction of bioinformatics tools into pipelines, representing biological data, biological sequence analysis, gene annotation, basic R programming, basic web/data analysis programming using Perl/python, sharing of biological information, social/legal aspects of open science.
Prerequisites: BY 210 [Min Grade: C] and CS 250 [Min Grade: C] and PUH 250 [Min Grade: C]

INFO 403. Bioinformatics-II. 3 Hours.

Development of computational algorithms to solve biological questions with a significant problem-solving component. This includes computational techniques such as dynamic programming, optimization, hidden Markov models, graph algorithms, and other mathematical and statistical approaches. In addition, data mining and machine learning methods in computational biology will be covered.
Prerequisites: INFO 302 [Min Grade: C] and CS 303 [Min Grade: C]

INFO 404. Biological Data Management. 3 Hours.

Introduction of biological data management concepts, theories, and applications. Basic concepts such as data representation, database modeling, ontology representation, and relational database queries will be introduced. Various database systems, particularly relational databases and emerging big data techniques, will be introduced. Application of biological data management in biology will be covered using case studies of high-impact widely used biological databases.
Prerequisites: INFO 302 [Min Grade: C]

INFO 405. Living Systems Analysis. 3 Hours.

The course focuses on computational analysis of biological systems across a hierarchy of scales, including genetic, molecular, biochemical network, cellular, cell population, tissue, organ, and individual levels. The central theme of the course is to help students learn how to model complex dynamic systems with the end goal of design and engineering of living systems. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling/simulations.

INFO 498. Bioinformatics Capstone Research I. 3 Hours.

Capstone Research is an innovative course that will provide undergraduate students with an opportunity to engage in rigorous scholarly practice of the core Bioinformatics skills necessary for performing independent research. Program faculty will closely work with students to identify project to explore an area of interest for the student based on the integration of prior learning. Students will be performing bioinformatics analyses on “real” laboratory data or publically available large-scale data, trouble shoot the problems, design and device new scripts, algorithms and (possible) software. The students will be asked to write progress report at the end of the semester.
Prerequisites: INFO 403 [Min Grade: C] and INFO 404 [Min Grade: C]

INFO 499. Bioinformatics Capstone Research II. 3 Hours.

Students will be allowed to rotate to different program faculty or continue with their mentor from BY/CS 498 Bioinformatics Capstone Research I. With close mentoring and guidance from program faculty, the student will identify a capstone project or continue their existing bioinformatics project. The capstone project is expected to culminate in a formal scholarly work reflecting integration of the scientific knowledge gained through the project. The scholarly work may take the form or a written manuscript or semester report.
Prerequisites: INFO 403 [Min Grade: C] and INFO 404 [Min Grade: C]