BINF Undergraduate Curriculum

Program Description

The program in bioinformatics is a multidisciplinary program sponsored by the Biomolecular Engineering Department. The program currently offers B.S, M.S., and Ph.D. degrees in bioinformatics, as well as a minor in bioinformatics.

Bioinformatics combines mathematics, science, and engineering to explore and understand biological data from high-throughput experiments, such as genome sequencing, gene expression chips, and proteomics experiments. The program builds upon the research and academic strengths of the faculty in the Center for Biomolecular Science and Engineering.

The Human Genome Project, the international collaboration to determine the sequence of human DNA and understand its function, had its origin in a conference that took place at UCSC in 1985. One notable output from our research is that UCSC is the primary release site for the public version of the human genome and its annotation:http://genome.ucsc.edu. We are also a major player in protein-structure prediction, and have a strong research group in DNA microarray analysis.

The undergraduate bioinformatics degree program prepares students for graduate school or a career in the fast-paced pharmaceutical or biotechnology industries.

The immense growth of biological information stored in computerized databases has led to a critical need for people who can understand the languages, tools, and techniques of statistics, science, and engineering.

A classically trained scientist may be unfamiliar with the statistical and algorithmic knowledge required in this field. A classically trained engineer may be unfamiliar with the chemistry and biology required in the field.

Thus, this program strives for a balance of the two, an engineer focused on the problems of the underlying science or, conversely, a scientist focused on the use of engineering tools for analysis and discovery.

The undergraduate degree program in bioinformatics builds a solid foundation in the constituent areas of the field. Students complete core sequences in mathematics (including calculus, statistics, and discrete mathematics), science (including biology, chemistry, and biochemistry), and engineering (including programming, algorithms, and databases). The core topics are brought together in two bioinformatics courses: BME 110, Computational Biology Tools, and BME 205 Bioinformatics Models and Algorithms. Students have two electives for specialization within the fields of bioinformatics and are required to take a bioethics course (either BME 80G, Bioethics in the Twenty-First Century: Science, Business, and Society or PHIL 145, Brave New World: Ethical Issues in Genetics) to study the ethical, legal, and social implications of this new technology. As a comprehensive requirement, all students complete a graduate project course: BME 220/L, Protein Bioinformatics, or BME 230/L, Computational Genomics.

Note: students who work on independent research projects with faculty may substitute a senior thesis, BME 195, for the graduate project course.

Courses for Nonmajors

Biomolecular Engineering 60 and 160, Programming for Biologists and Biochemists, provide an introductory programming class using Perl and BioPerl to analyze, transform, and publish biological data.

Biomolecular Engineering 80G, Bioethics in the Twenty-First Century: Science, Business, and Society, is particularly appropriate to all students interested in the societal issues surrounding the revolutions in bioinformatics and biotechnology.

Biomolecular Engineering 110, Computational Biology Tools, provides an introduction to the tools and techniques of bioinformatics from a user's view. It is intended for biologists and biochemists who need to use bioinformatics tools, but are not primarily interested in building new bioinformatics tools.

Biomolecular Engineering 109, Resource-efficient Programming, provides advice and practice for people working at the limits of their computer hardware. It is of use for bioinformaticians, game programmers, and embedded-system designers.

Bioinformatics Policies

Admissions Policy

Admission to the bioinformatics major is selective. First-year applicants may receive direct admission at the time they apply to UCSC, based on their high school record and test scores. Admission to the bioinformatics major after a student has entered UCSC is based on performance in courses required for the major. The following foundation courses must be completed before admission to the major: Computer Science 13H (or 12A and 12B), Chemistry 1B/M and 1C/N, and Mathematics 19A-B.

Courses Taken Elsewhere

Please refer to the School of Engineering section of the catalog for policies about taking courses at other institutions after enrolling at UCSC.

Disqualification Policy

Students who do not make adequate progress in the major (normally passing six required courses per year) may be disqualified from the major. All students not meeting the progress in the major or grade point average requirements must meet with the undergraduate director to discuss their options for continuing in the major. Please refer to the Engineering section of this catalog for the School of Engineering's Major Disqualification Policy.

Transfer Students

Please refer to the School of Engineering section of the catalog for the policy regarding transfer students.

School of Engineering Policies

Please refer to the School of Engineering section of the catalog for additional policies that apply to all School of Engineering programs.

Preparation for the Major

Students applying for admission to the bioinformatics major should have completed four years of high school mathematics (through advanced algebra and trigonometry) and three years of science, including one year of chemistry and one year of biology. Comparable college mathematics and science courses completed at other institutions may be accepted in place of high school preparation. Students without this preparation may be required to take additional courses to prepare themselves for the program.

Major Requirements

Every bioinformatics major must have a faculty adviser, assigned by the Baskin School of Engineering Undergraduate Advising office, and with that adviser must formulate a program of proposed course work that meets the major requirements. Because of the enormous breadth of requirements, bioinformatics majors are urged to take honors courses or sections whenever possible, to get as much as possible out of the courses they take in each field.

Lower-Division Requirements

Majors must complete the following lower-division courses:

Biology

20A, Cell and Molecular Biology
20B, Development and Physiology

Biomolecular Engineering

80G, Bioethics in the Twenty-First Century: Science, Business, and Society; or
Philosophy 145, Brave New World: Ethical Issues in Genetics

Chemistry

1B/M and 1C/N, General Chemistry/Laboratory

Computer Engineering

16, Applied Discrete Mathematics

Computer Science

13H/L, Introduction to Programming and Data Structures (Honors)/Laboratory; or both
12A/L, Introduction to Programming/Laboratory and 12B/M, Introduction to Data Structures/Laboratory

Mathematics

20A-B, Honors Calculus, or
19A-B, Calculus for Science, Engineering, and Mathematics (Credit for one or both can be granted with adequate performance on the CEEB calculus AB or BC Advanced Placement examination.)
23A, Multivariable Calculus

Upper-Division Requirements

Majors must complete the following upper-division courses:

Applied Math and Statistics

Computer Engineering 107, Mathematical Methods of Systems Analysis:Stochastic; or
Applied Math and Statistics 131, Introduction to Probability Theory
Applied Math and Statistics 206, Bayesian Statistics

Biochemistry and Molecular Biology

100A, Biochemistry (first in three-part sequence)

Bioinformatics

Biomolecular Engineering 110, Computational Biology Tools
Biomolecular Engineering 205, Bioinformatics Models and Algorithms

One of the following:

Biomolecular Engineering 220/L, Protein Bioinformatics/Laboratory; or 230/L, Computational Genomics/Laboratory; or 195, Senior Thesis Research

Chemistry

108A/L, Organic Chemistry/Laboratory; or 112A/L and 112B/M, Organic Chemistry/Laboratory

Computer Engineering

185, Technical Writing

Computer Science

101, Abstract Data Types
180, Database Systems

Advanced Programming

One of the following five courses:

Biomolecular Engineering 109, Resource-efficient Programming; or
Computer Engineering 177, Applied Graph Theory and Algorithms; or

Computer Science 104A, Fundamentals of Compiler Design I; or
Computer Science 109, Advanced Programming; or
Computer Science 115, Software Methodology

Required Electives

Students must select two additional courses as electives, justify their choices in writing, and get the choices approved by their faculty adviser. The following courses are typical of the ones chosen, but do not constitute a pre-approved list:

Applied Math and Statistics 162, 203, 205, 207, 215
Biochemistry 100B, 100C, 110
Biology 100L, 105, 105L, 105M, 109L, 110, 115, 115L, 117A, 117B, 119, 119L, 187L, 200A, 200B
Biomolecular Engineering 109, 130, 210, 220, 230
Chemistry 103, 108B/M, 112C/N, 200A, 200B, 200C
Computer Engineering 108, 177
Computer Science 104A, 105, 109, 115, 116, 130, 140, 142, 160/L
Information Systems Management 206, 250

Note: many of these courses are offered only once a year and have long prerequisite chains, so advance planning is necessary to make sure elective courses can be fit into the student's schedule.

Comprehensive Requirement

The bioinformatics comprehensive requirement can be met by taking Biomolecular Engineering 210, Application and Analysis of Microarrays, or Biomolecular Engineering 220/L, Protein Bioinformatics, or Biomolecular Engineering 230/L, Computational Genomics, which include substantial projects, or Biomolecular Engineering 195, Senior Thesis Research. Students electing the senior thesis must submit a written thesis proposal to the undergraduate director of bioinformatics for approval one quarter prior to submitting the final thesis.

The Bioinformatics Minor

The bioinformatics major is intended for people who wish to become bioinformaticians - to create the tools needed to solve new problems in computational biology. The bioinformatics minor is intended primarily for bioinformatics tool users who are majoring in a biological or chemical specialty. It is also appropriate for computer science or computer engineering majors who are considering graduate work in bioinformatics.

A bioinformatics minor consists of the following 15 courses:

Lower-division
(10 courses)

Upper-division
(5 courses)

A bioinformatics minor may count any of the courses of the minor toward the fulfillment of the requirements of their major. Majors with substantial overlap with bioinformatics include biochemistry, chemistry, computer science, computer engineering, and molecular, cellular, and developmental biology.

For example, a biochemistry and molecular biology major, chemistry major with biochemistry emphasis, or MCD biology major could double-count the biology, general chemistry, calculus, organic chemistry, and biochemistry courses. A chemistry major could double-count the general chemistry, calculus, organic chemistry, programming and biochemistry courses. A computer science major could double-count the programming, calculus, and statistics classes. A computer engineering major could double-count the chemistry, programming, calculus, and statistics classes.

The Bioinformatics Combined B.S./Graduate Degree Program

Because our bioinformatics B.S. program provides excellent preparation for a graduate program in bioinformatics, we offer a combined B.S./grad program that allows our B.S. students to complete the M.S. (or Ph.D.) somewhat sooner than students with a less tailored preparation.

The current B.S. and graduate requirements have four courses in common:

BME 80G, Bioethics in the 21st Century or PHIL 145/245 Brave New World: Ethical Issues in Genetics
BME 205, Bioinformatics Models and Algorithms
BME 220, Protein Bioinformatics or BME 230, Computational Genomics
AMS 206, Bayesian Statistics

Masters students take nine courses, two seminars (four credits), BME 200, and two independent project courses (such as BME 220L and BME 230L). The course work for Ph.D. students is essentially the same, except that eight credits of seminars are required and three research lab rotations are required in place of the two project courses.

The combined B.S./grad program does not make any changes to the undergraduate program, except that students must pass the four overlapping courses listed above for a grade of B- or better.

The requirements at the graduate level are changed to remove the four courses that overlap with the B.S. and to add two graduate electives to be chosen by the students with the approval of their advisers. Thus, the total number of full courses required is reduced from nine to seven.

To apply for the combined program, students apply to the M.S. or Ph.D. program through the normal graduate admission process in the fall of their senior year. If admitted into the graduate program, they would automatically be included in the combined B.S./M.S. or B.S./Ph.D. program.

Bioinformatics Major Planners

Plan One is a suggested plan for students who are undecided between bioinformatics and another School of Engineering major. Plan Two is suggested for students undecided between bioinformatics and some other field in biology or chemistry. As in all engineering and science programs, it is recommended that students spread their general education requirements out over all 12 quarters.

Four-year plans require individual design to fit in the desired electives, so only the first two years of the academic plan are presented here. It is recommended that students reserve the summer after the junior year for undergraduate research. One popular plan involves taking organic chemistry and the associated labs in the summer after completing general chemistry, so that biochemistry may be started in the junior year.

Most students find it easiest to take BME 100/L, Introduction to Bioinformatics, after BME 110, Computational Biology Tools.

Bioinformatics Graduate Program

The graduate program in bioinformatics offers both M.S. and Ph.D. degrees.

Course Requirements

Both masters and doctoral students must complete nine, 5-credit courses (seven core courses and two electives; see below) and a 3-credit research and teaching course. In addition, M.S. students must complete four seminar credits, while Ph.D. students must complete eight seminar credits. M.S. students must complete two (1-credit or 2-credit) research project courses (such as BME 220L, BME 230L, BME 297F, or BME297), and Ph.D. students must complete three research lab rotations (BME 296) with different supervisors.

Core courses (5-credit)-seven are required

Biomolecular Engineering

Two of the following:

One graduate course, approved by the faculty, in each of the following three areas:

Electives (5-credit)-two are required

The electives should be graduate-level courses selected with approval of the faculty to ensure a coherent, balanced program. For M.S. students, 5 credits of independent research (297) or thesis research (299) may count as electives toward the degree requirements upon approval of the faculty. For Ph.D. students, independent or thesis research cannot be counted as electives.

Students must choose their electives with faculty guidance and approval to balance their preparation and make up for deficiencies in background areas. In addition to fulfilling background needs, students may choose to emphasize one of the breadth areas: molecular biology, biochemistry, statistics, computational biology, genetics, computer science, computer engineering, applied mathematics, cell biology, and computer graphics/visualization or may take a cross-sampling of the electives to achieve a broad knowledge base.

Other Curriculum Requirements

Adequate Progress

Graduate students receiving two or more U (unsatisfactory) grades or grades below B in courses relevant to the program are not making adequate progress and will be placed on academic probation for the next three quarters of registered enrollment.Graduate students who fail (unsatisfactory or lower than B) a relevant course while on probation may be dismissed from the program. Students may appeal their dismissal.

Graduate students who fail a relevant course after being removed from probation are immediately returned to academic probation.

Graduate students experiencing circumstances that may adversely affect their academic performance should consult with their adviser and the graduate director.

Thesis and Dissertation

RequirementsIn addition to completing the course requirements, students must fulfill the following thesis or dissertation requirements.

For M.S. students, a written thesis proposal must be submitted to a faculty member before the end of the fourth academic quarter. If the faculty member accepts the proposal, he or she will become the student's adviser and will be in charge of supervising the writing of the master's thesis. When the thesis is completed, it will be submitted to a faculty review committee consisting of the thesis adviser and at least two additional readers. The committee must include a School of Engineering faculty member, may include participants from the Division of Physical and Biological Sciences and from industry as appropriate, and must be approved by the bioinformatics program director. Students are required to present their thesis project in a public seminar.

Ph.D. students must select a faculty research adviser by the end of the second year. A written dissertation proposal is required before the end of the third year. A qualifying committee is then formed, which consists of the adviser and three additional members, and approved by the bioinformatics program director and the campus graduate dean. The student must submit his or her written dissertation proposal to all members of the committee and the graduate assistant one month in advance of the examination. The dissertation proposal is publicly and formally presented in an oral qualifying examination given by the qualifying committee.

Ph.D. candidates will submit the completed dissertation to a reading committee at least one month prior to the dissertation defense. The reading committee, formed upon advancement to candidacy, consists of the dissertation supervisor and two readers appointed by the program director upon the recommendation of the dissertation supervisor. The candidate will present his or her research in a public seminar. The seminar will be followed by a defense of the dissertation to the reading committee and attending faculty, who will then decide whether the dissertation is acceptable or requires revision.

Transfer Limitations

Up to two courses may be transferred from other graduate institutions, with the approval of the faculty adviser and the graduate director.