24 courses with the subject BINF, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BINF 1990Elective1-4
Offers elective credit for courses taken at other academic institutions. May be repeated without limit.
Offers students an applied project setting in which to apply their curricular learning. Working with a sponsor, students refine an applied research topic, perform research, develop recommendations that are shared with a partner sponsor, and create a plan for implementing their recommendations. Seeks to benefit students with a curriculum that supports the development of key business communication skills, project and client management skills, and frameworks for business analysis. Offers students an opportunity to learn from sponsor feedback, review 'lessons learned,' and incorporate suggestions from this review to improve and further develop their career development and professional plan. May be repeated twice.
Offers independent work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated twice.
Focuses on the fundamental programming skills required in the bioinformatics industry. Focuses on Python and R as the main programming language used. Topics include string operations, file manipulation, regular expressions, object-oriented programming, data structures, testing, program design, and implementation. Includes substantial out-of-classroom assignments.
BINF 6250Algorithmic Foundations in Bioinformatics3
Prerequisite(s): BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- or CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C-
Prerequisite(s): BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- or CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C- or CS 5001 with a minimum grade of C- Corequisite(s): BINF 6250
Prerequisite(s): BINF 6200 (may be taken concurrently) with a minimum grade of C- or BINF 6200 (may be taken concurrently) with a minimum grade of C- or DS 2500 with a minimum grade of C-
Prerequisite(s): ((BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- ); (BINF 6310 with a minimum grade of C- or BINF 6310 with a minimum grade of C- )) or ((BINF 6308 with a minimum grade of C- or BINF 6308 with a minimum grade of C- ); (BINF 6309 with a minimum grade of C- or BINF 6309 with a minimum grade of C- ) or CS 5130 with a minimum grade of C- )
Prerequisite(s): ((BINF 6310 with a minimum grade of C- or BINF 6310 with a minimum grade of C- ); (BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- )) or ((BINF 6308 with a minimum grade of C- or BINF 6308 with a minimum grade of C- ); (BINF 6309 with a minimum grade of C- or BINF 6309 with a minimum grade of C- )) or CS 5130 with a minimum grade of C-
Prerequisite(s): ((BINF 6310 with a minimum grade of C- or BINF 6310 with a minimum grade of C- ); (BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- )) or ((BINF 6308 with a minimum grade of C- or BINF 6308 with a minimum grade of C- ); (BINF 6309 with a minimum grade of C- or BINF 6309 with a minimum grade of C- )) or CS 5130 with a minimum grade of C-
Introduces the cooperative education program. Offers students an opportunity to develop job-search and career-management skills; to assess their workplace skills, interests, and values and to discuss how they impact personal career choices; to prepare a professional resumé; and to learn proper interviewing techniques. Explores career paths, choices, professional behaviors, work culture, and career decision making.
BINF 6511Using Real-World Data to Advance Discovery in the Fields of Bioinformatics and Biotechnology3
Examines methodologies for analyzing observational health, viromics, and genetics datasets. Covers data structuring, collection methods, ethical considerations, statistical analysis techniques, and data visualization approaches in bioinformatics and biotechnology research. Offers experience with current bioinformatic tools and programs to address complex biological questions, from basic coding principles to advanced algorithmic applications. Analyzes large-scale health and genomic datasets, explore viral mutation patterns, and evaluate biopharmaceutical research applications.
Prerequisite(s): (BINF 6200 with a minimum grade of C- or BINF 6200 with a minimum grade of C- ); (BINF 6310 with a minimum grade of C- or BINF 6310 with a minimum grade of C- ); MATH 7340 with a minimum grade of C-
