Computational Life Sciences

Description

In the life sciences, employers need graduates who are skilled in understanding and interpreting data. In particular, students who have experience using new, computational approaches and computer programs to process data are in demand. By completing this concentration in computational life sciences, students learn how to identify and interpret data that is generated from a wide range of fields in the life sciences. These fields include, but are not limited to: ecology, botany, evolutionary biology, neuroscience, molecular and cellular biology, and animal behavior. Students learn about many types of data generated from sources such as DNA, RNA, protein, imaging, conservation and even from long-term ecological research sites.

Students are introduced to a suite of computational approaches that are used to analyze, visualize and interpret this data. Finally, students will delve into the ethical implications of collecting, analyzing and sharing the results of computational life sciences data.

Requirements

  • Students must complete a minimum of 15 credit hours including 12 of upper division courses in the life sciences and at least 6 upper division hours taken with the College of Liberal Arts and Sciences.
  •  The core consists of one computing course and one ethics course.
  • A minimum of nine credit hours in elective courses complete the certificate.
  • The computing course not used toward the core requirements may be used toward the elective credit hours.
  • A grade of C (2.00 on a 4.00 scale) or higher is required for all courses used toward the concentration.

 

Required Courses -- 6 credit hours

BIO 316 History of Biology: Conflicts and Controversies (H) or BIO 317: History of Science (HU & H) or BIO 318: History of Medicine (HU & H) (3)
BIO 439 Computing for Research or BIO 440: Functional Genomics (3)


Electives -- 9 credit hours

BIO 355 Introduction to Computational Molecular Biology (CS) (3)

(Pre- or corequisite(s): BIO 340 or LSC 347 or MBB 347 with C or better)

BIO 411 Quantitative Methods in Conservation and Ecology (4)

(Prerequisite(s): BIO 320 or 322 with C or better; BIO 415 or STP 226 or STP 231 with C or better; MAT 210, 251, 265, or 270 with C or better)
BIO 415 Biometry (CS) (4)
(Prerequisite(s):  MAT 210, 251, 265 or 270 with C or better, or a 200 level statistics course (STP 226, or 231) with C or better)

BIO 439 Computing for Research (3)
(Prerequisite(s) with C or better: BIO 181; BIO 182 OR BIO 281; BIO 282; Credit is allowed for BIO 439 or BIO 539 or EVO 539 or MCB 539 or BIO 498 (Computing Rsrch) or BIO 598 (Computing Rsrch) or EVO 598 (Computing Rsrch) or MCB 598 (Computing Rsrch))
BIO 440 Functional Genomics (3)
(Prerequisite(s): BIO 340 or LSC 347 or MBB 347 with C or better; Credit is allowed for only BIO 440 or CBS 540 or MBB 440 or MCB 540)
BIO 494 Data Analysis in Neuroscience (3)
BIO 494 Genomic Analysis (3)
BMI 311 Modeling Biomedical Knowledge (3)
BMI 312 Modeling Biomedical Data (3)
BMI 330 Topics in Translational Bioinformatics (3)

If not used as the required computing course, students may include BIO 439 or BIO 440 as a certificate elective.

IDS Core Course Information

All Interdisciplinary Studies students are required to complete a 9 credit-hour core and 9 credit hours of context/application courses.

Required Courses (9 credit hours):

  • IDS 201 Intellectual Fusion (recommended for freshman/sophomore students)
    • Prerequisites: None

OR

  • IDS 301 Becoming Interdisciplinary (3) (recommended for transfer students and/or students declaring IDS in their junior or senior year)
    • Prerequisites: Interdisciplinary Studies major

  • IDS 302 Integration Skills (3)
    • Prerequisite(s): Interdisciplinary Studies major; IDS 201 or 301 with C or better
  • IDS 401 Integration: Experiential Learning (3) (requires application)
    • Prerequisites: IDS 201 or 301 with C or better; IDS 302 with C or better; minimum 2.00 GPA; minimum of two courses completed in each concentration area

Context courses (6 credit hours)

Choose two Integrative Context courses from the following (3 credit hours each):

  • IDS 310: Integration: Cultural Contexts, C
  • IDS 311: Integration: Global Contexts, G, SB
  • IDS 312: Integrative Perspectives on Change
  • IDS 313: Integrative Perspectives on a Changing World
  • IDS 314: Integrative Perspectives on Cultural Dynamics, SB
  • IDS 315: Integration: Social Contexts, SB
  • IDS 316: Integration: Humanities Contexts, HU

Application courses (3 credit hours)

Choose any IDS Application course from the following (3 credit hours each):

  • IDS 140: The Nature of Knowledge Systems
  • IDS 302: Integration Skills
  • IDS 310: Integration: Cultural Contexts, C
  • IDS 311: Integration: Global Contexts, G, SB
  • IDS 312: Integrative Perspectives on Change
  • IDS 313: Integrative Perspectives on a Changing World
  • IDS 314: Integrative Perspectives on Cultural Dynamics, SB
  • IDS 315: Integration: Social Contexts, SB
  • IDS 316: Integration: Humanities Contexts, HU
  • IDS 484: Elective Internship

Transfer to ASU transfer.asu.edu

Maricopa County Community College District (MCCCD) transfer students transfer.asu.edu/maricopa

  • Courses may fulfill Arizona General Education Curriculum (AGEC) or Associate’s degree requirements, consult with your community college academic advisor for details.
  • MCCCD course transfer equivalencies are listed here; they may be applied toward this concentration (maximum of six credits or two courses).
  • Information listed was current for this catalog year at the time of printing, consult transfer.asu.edu/maricopa for verification.

Year

Year

2019-20

Campus

Campus

Tempe

Advising

Advising

Interdisciplinary Studies Advising
cisa.asu.edu/advising
All appointments:
480-965-4464

Downtown Phoenix
Arizona Center, Suite 380

Polytechnic
Santa Catalina Hall

Tempe
Urban Systems Engineering

Online
480-965-4464

 

DARs Code

DARs Code

LACLSIEMPH

College/School

College/School

College of Liberal Arts and Sciences

Concentration Contact

Concentration Contact

480‐727‐2039
sols.advising@asu.edu

LSC 426

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