University of Minnesota | Rochester

Courses

All BICB courses and seminars listed below are Pass/Fail (where applicable). Courses are divided into core and elective courses.

Description of BICB Courses

Core Courses

  1. BICB 8510 Computation and Biology (2 crs; up to 2 repetitions totaling up to 4.0 crs)
    This course will be taught in modular form and will provide first‐year graduate students with an overview of topics in molecular biology and genetics; mathematics, statistics and biostatistics; programming in FORTRAN and C/C++; programming in Perl; data management; and data mining. The modules will be offered based on the needs of each incoming class of BICB graduate students.
  2. BICB 8990 Seminar on Current Topics (1 crs; up to 4 repetitions totaling up to 4.0 crs)
    Sections in this seminar will vary depending on instructor.
  3. BICB 8991 Independent Study (1‐2 crs; up to 2 repetitions totaling up to 4.0 crs)
    This course may be used by graduate students for reading courses with appropriate faculty or to conduct other independent studies. Ph.D. graduate students may only register for this course prior to passing the preliminary oral exam. M.S. graduate students may register for this course at any time.

Elective Courses

  1. BICB 8940 Education and Pedagogy Seminar (1 crs; up to 4 repetitions totaling up to 4.0 crs)
    This seminar will meet weekly in the fall semester. It will give students and faculty the opportunity to discuss effective teaching methods, advising methods, etc., with an emphasis on interdisciplinary training and training across multiple institutions.
  2. BICB 8970 Leadership Seminar (1 cr; 2 repeats allowed) : not currently offered
    This leadership seminar will focus on clinical and translational research and entrepreneurship. It will meet every other year and will feature invited speakers who are involved in clinical and translational research.

Mayo Clinic Courses and UMTC MOT Courses

  1. BICB 5620 Topics in Biomedical Informatics and Computational Biology (0.5‐4 crs; up to 6 repetitions totaling up to 24.0 crs) Each section of this course corresponds to a Mayo Clinic 5xxx or 6xxx course. Contact DGS before enrolling
  2. BICB 8620 Topics in Biomedical Informatics and Computational Biology (0.5‐4 crs; up to 6 repetitions totaling up to 24.0 crs)
    Each section of this course corresponds to a Mayo Clinic 8xxx course. Contact DGS before enrolling.
  3. BICB 8670 Topics in Management of Technology (0.5‐4.0 crs; up to 6 repetitions totaling up to 24.0 crs)
    Each section of this course corresponds to a MOT course. Contact DGS before enrolling.

Other Courses

  1. BICB 8920 BICB Colloquium (1 cr; up tp 2 repetitions totaling up to 2.0 crs)
    This is a weekly seminar for BICB graduate students that introduces students to current topics in the research area. The seminar features outside speakers and will utilize existing seminar series when appropriate, such as the CBCB seminar series. Ph.D. students must take two semesters of this seminar; M.S. students must take one semester.
  2. BICB 8930 Journal Club (1 cr; up to 4 repetitions totaling up to 4.0 cr)
    This seminar will meet weekly for 60 minutes during both fall semester and spring semester. The seminar is required of 1st and 2nd year Ph.D. graduate students and 1st year M.S. graduate students. This seminar consists of discussions of journal articles that are led by 2nd year Ph.D. graduate students. The journal articles will be chosen by the 2nd year students in consultation with their advisors/co‐advisors
  3. BICB 8932 Proposal Writing Seminar (1.0 crs; no repeats allowed)
    This seminar is required for all 2nd year Ph.D. graduate students. Its purpose is to teach students how to write proposals and to guide them through the writing of their preliminary written exam. This seminar will meet during the spring semester.
  4. BICB 8994 Directed Research (1‐3 crs; up to 2 repetitions allowed totaling up to 6.0 crs)
    This course may be used by Ph.D. graduate students to engage in research projects prior to passing the preliminary oral exam. These research projects may lead to thesis research or could be independent of the planned Ph.D. or M.S. thesis research. M.S. graduate students may register for this course at any time.
  5. BICB 8960 Internship Course (1‐6 crs; up to 6 repeats allowed totaling up to 12.0 crs)
    All students are required to complete 120 hours of internships. Students may register for up to 6 credits per semester. Students are not required to register for credit for internships. However, they must provide documentation of completion of internships that are kept on file as outlined in Appendix B.

Other Program Credits

  1. BICB 8333 FTE: Master’s (No Grade Associated)
  2. BICB 8444 FTE: Doctoral (No Grade Associated)
  3. BICB 8666 Doctoral Pre‐Thesis Credits (1‐6 crs; 2 repeats allowed; DGS consent for 3rd/4th registrations; No Grade Associated)
  4. BICB 8777 Thesis Credits: Master’s (1‐18 crs; 10 repeats allowed; No Grade Associated)
  5. BICB 8888 Thesis Credits: Doctoral (1‐24 crs; 10 repeats allowed; No Grade Associated) 

List of Core, Elective, and Other Courses with Course Designators Other Than BICB

The courses below have been approved by the BICB graduate faculty to count towards the Ph.D. or M.S. in BICB.  A student who takes a course that is not on the list must seek approval to count towards the degree.  Students and faculty may suggest additional courses that are not currently on the list.

A ‘*’ indicates that the course is offered via ITV or UNITE or online and can therefore be taken at UMR. Courses offered at Mayo Clinic are in caps. Note that
courses at the University of Minnesota are offered under the semester system (Fall 2010, Spring 2011), and that courses at Mayo Clinic are offered under the
quarter system (Fall 10, Winter 11, Spring 11, Summer 11). An “x” in the column to the left of the course indicates that the course is offered in the specified
semester or quarter. Classes are in session during the following periods:

UMN Academic Calendar

Fall 2012

  • September 4: Classes begin
  • November 22‐23: Thanksgiving Holiday
  • December 12: Last Day of instruction
  • December 13, 16: Study day
  • December 14-15, 17‐19: Final examinations
  • December 20: End of term

Spring 2013

  • January 22: Classes begin
  • March 18‐22: Spring Break
  • May 10: Last day of instruction
  • May 11-12: Study Days
  • May 13-17: Final examinations
  • May 18: End of the term

Mayo Clinic

  • Fall 2012
  • Winter 2013
  • Spring 2013
  • Summer 2013

Core Courses

1. Biochemistry, molecular and cell biology
(NOTE: only one 4xxx level course may count towards the degree)

 

Fall 2012Spring 2013UMN Courses
 xGCD 4143 Human Genetics
 xGCD 4151 Cell Biology of Cancer
  BioC 5001 Biochemistry and Cellular Biology
  BioC 5309 Biocatalysis and Biodegradation
 xBioC 5352 Biotechnology and Bioengineering for Biochemists
x BioC 5361 Microbial Genomics and Bioinformatics
x BioC 5527 Introduction to Modern Structural Biology
xxBioC 6021 Biochemistry
x BioC 8001 Biochemistry: Structure, Catalysis, and Metabolism
x Chem 8411 Introduction to Chemical Biology
  ChEn 5752 Quantitative Biology for Engineers
x GCD 5036 Molecular Cell Biology
x GCD 8151 Cell Structure and Function
 xMICA 8003 Immunology and Immunopathology
 xPHCL 5111 Pharmacogenomics
  PHSL 5061 Physiology for Biomedical Engineers

 

F12W13S13Su13Mayo Clinic Courses
    BMB 8660f TRANSLATIONAL AND TRANSCRIPTIONAL REGULATION OF GENE EXPRESSION 
    BME 8870f SYSTEMS PHYSIOLOGY I
    CORE 6100f CHEMICAL PRINCIPLES OF BIOLOGICAL SYSTEMS
    CORE 6150su GENOME BIOLOGY
    CORE 6250w MOLECULAR CELL BIOLOGY 
    CORE 6400w MOLECULAR GENETICS 

 

2. Database, data mining, and computing

 

Fall 2012Spring 2013UMN Courses
x CSci 5211 Data Communications and Computer Networks
x CSci 5271* Introduction to Computer Security
xxCSci 5421* Advanced Algorithms and Data Structures
 xCSci 5451* Introduction to Parallel Computing: Architectures, Algorithms and Programming
 CSci 5523* Introduction to Data Mining
x CSci 5707* Principles of Database Systems
  CSci 8725 Databases for Bioinformatics
  EE 5391 Computing with Neural Networks
  SciC 8001 Parallel High‐Performance Computing
  SciC 8011 Scientific Visualization

 

 3. Informatics, analysis, and machine learning

 

Fall 2012Spring 2013UMN Courses
 CSci 5109 Visualization
  CSci 5131 Advanced Internet Programming
 x CSci 5481* Computational Techniques for Genomics I 
 xCSci 5461* Functional Genomics, Systems Biology, and Bioinformatics
x CSci 5511* Artificial Intelligence I 
 xCSci 5521* Pattern Recognition
  CSci 5525 Machine Learning
  CSci 5541 Natural Language Processing
 x EE 8591* Predictive Learning from Data

 

F12W13S13Su13Mayo Clinic Courses
    BMB 8350f GENOMIC AND PROTEOMIC ANALYSIS USING BIOINFORMATICS TECHNIQUES

 

4. Mathematics, biostatistics, and statistics 

 

Fall 2012Spring 2013UMN Courses
x EE 5531* Probability and Stochastic Processes
  EE 5950 Digital Signal Processing II
xxMath 5651 Basic Theory of Probability and Statistics
xxMath 5652 Introduction to Stochastic Processes
 xMath 5707 Graph Theory and Non‐enumerative Combinatorics
x Math 8441 Numerical Analysis and Scientific Computation
x Math 8651 Theory of Probability Including Measure Theory
 xMath 8652 Theory of Probability Including Measure Theory
  Math 8654 Fundamentals of Probability Theory and Stochastic Processes
xPubH 6450 Biostatistics I
 xPubH 7440 Introduction to Bayesian Analysis
 xPubH 7402 Biostatistics Modeling and Methods
x PubH 7405* Biostatistics: Regression
 xPubH 7406* Biostatistics: ANOVA and Design
x PubH 7445 Statistics for Human Genetics and Molecular Biology
x PubH 8432 Probability Models for Biostatistics
 xPubH 8442 Bayesian Decision Theory and Data Analysis
x PubH 8445 Statistics for Human Genetics and Molecular Biology
  SciC 8021 Advanced Numerical Methods
  SciC 8031 Modeling, Optimization, and Statistics
x Stat 5101 Theory of Statistics I
 xStat 5102 Theory of Statistics II
xxStat 5302 Applied Regression Analysis
xxStat 5303 Designing Experiments
x Stat 8051 Applied Statistical Methods 1
 xStat 8052 Applied Statistical Methods 2
x Stat 8101 Theory of Statistics I
 xStat 8102 Theory of Statistics II

 

F12W13S13Su13Mayo Clinic Courses
    BMB 8030f DATA ANALYSIS AND MATHEMATICAL MODELING IN BIOMEDICAL RESEARCH
    BME 8710w NUMERICAL METHODS IN BIOMEDICAL RESEARCH
   x CTSC 5600su STATISTICS IN CLINICAL RESEARCH
    CTSC 5610f INTRODUCTORY STATISTICAL METHODS II
    CTSC 5780s BAYESIAN STATISTICAL INFERENCE

 

5. Computational and systems biology

 

Fall 2012Spring 2013UMN Courses
  ChEn 5595 Systems Analysis of Biological Processes
  EE 5821* Biological System Modeling and Analysis

 

Elective Courses

1. Biochemistry, molecular and cell biology

 

Fall 2012Spring 2013UMN Courses
 BioC 4125 Laboratory in Molecular Biology and Biotechnology
  BioC 4950 Computer Simulation and Data analysis in Biochemistry
  Biol 5485 Introductory Bioinformatics
 x EEB 5221 Molecular and Genomic Evolution
  GCD 8121 Advanced Molecular Genetics
 xGCD 8131 Advanced Genetics
 xMICa 8004 Cellular and Cancer Biology
 x NSC 5661 Systems Neuroscience

 

F12W13S13Su13Mayo Clinic Courses
    BMB 8070w CANCER BIOLOGY II: MOLECULAR MECHANISMS OF CANCER: SIGNAL TRANSDUCTION PATHWAYS AND NETWORKS

 

2. Informatics, database, data mining, and computing

 

Fall 2012Spring 2013UMN Courses
 xCSci 5708 Architecture and Implementation of Database Management Systems
 xCSci 5801 Software Engineering I
 xCSci 5802 Software Engineering II
 x CSci 8701 Overview of Database Research
  CSci 8703 Distributed and Parallel Databases
  CSci 8715 Spatial Databases and Applications
  CSci 8735 Advanced Database Systems
  EE 4389W Introduction to Empirical Inference and Soft Computing (WI)
  EE 5393 Circuits, Computation and Biology
 xLing 5801 Introduction to Computational Linguistics
  Ling 5802 Computational Linguistics

 

3. Mathematics, biostatistics and statistics

 

Fall 2012Spring 2013UMN Courses
  CMB 5200 Statistical Genetics and Genomics
 xCSci 5302 Analysis of Numerical Algorithms
 x CSci 5304 Computational Aspects of Matrix Theory
  CSci 8314 Sparse Matrix Computations
  CSci 8363 Numerical Linear Algebra in Data Exploration
  xMath 8442 Numerical Analysis and Scientific Computing
  xMath 8540 Topics in Mathematical Biology
  Math 8659 Stochastic Processes
  xStat 5401 Applied Multivariate Methods
  Stat 8401 Topics in Multivariate Methods

 

F12W13S13Su13Mayo Clinic Courses
    BMB 8040s FRACTALS AND CHAOS IN BIOSCIENCES
    BMB 8050f BIOLOGICAL KINETICS

 

4. Chemistry, chemical engineering, and physics

 

Fall 2012Spring 2013UMN Courses
  ChEn 5751 Biochemical Engineering
xxChem 4501 Introduction to Thermodynamics, Kinetics, and Statistical Mechanics
xxChem 4502 Introduction to Quantum Mechanics and Spectroscopy
 xChem 4735 Bioinorganic Chemistry
  Chem 5021 Computational Chemistry
  Chem 5502 Introduction to Quantum Mechanics and Spectroscopy
 x Chem 8011 Mechanisms of Chemical Reactions
 xChem 8021 Computational Chemistry
 x Chem 8411 Introduction to Chemical Biology
 xChem 8412 Chemical Biology of Enzymes
  Chem 8413 Nucleic Acids
 x Chem 8541 Dynamics
 x Chem 8551 Quantum Mechanics I
 x Chem 8561 Thermodynamics, Statistical Mechanics, and Reaction Dynamics I
 xChem 8562 Thermodynamics, Statistical Mechanics, and Reaction Dynamics II
  Phys 8311 Single Molecule Biological Physics
  Phys 8312 Biological Physics of Macroscopic Systems
 x Phys 4911 Introduction to Biopolymer Physics

 

5. Biophysics and structural biology

 

Fall 2012Spring 2013UMN Courses
x BioC 5527 Introduction to Modern Structural Biology
  xBioC 5528 Spectroscopy and Kinetics
x BioC 5531 Macromolecular Crystallography I: Fundamentals and Techniques

 

F12W13S13Su13Mayo Clinic Courses
    BME 8350s ADVANCED CONCEPTS IN MOLECULAR BIOPHYSICS
    CORE 6300s MOLECULAR BIOPHYSICS

6. Imaging, information theory and signal processing

 

Fall 2012Spring 2013UMN Courses
  BMEn 5401 Advanced Functional Biomedical Imaging
  Chem 8159 Nuclear Magnetic Resonance Spectroscopy
 x CSci 5115 User Interface Design, Implementation and Evaluation
  CSci 5116 GUI Toolkits and Their Implementation

 

F12W13S13Su13Mayo Clinic Courses
    BME 5800su PHYSICS AND TECHNICAL PRINCIPLES OF MEDICAL IMAGING
    BME 8490s ADVANCED TOPICS IN BIOMEDICAL IMAGE PROCESSING

 

7. Computational chemistry, medicinal chemistry and drug design

 

Fall 2012Spring 2013UMN Courses
x Chem 5245 Introduction to Drug Design
 xChem 8021 Computational Chemistry
  MedC 5185 Principles of Biomolecular Simulations
  MedC 5200 The New Drug Development Process
  MedC 5245 Introduction to Drug Design
  MedC 5600 General Principles of Medicinal Chemistry
  MedC 8500 Design of Chemotherapeutic Agents
 xMedC 8700 Advanced Concepts in Drug Design

 

F12W13S13Su13Mayo Clinic Courses
    Core 6450s MOLECULAR PHARMACOLOGY AND RECEPTOR SIGNALING

 

8. Clinical and translational sciences

 

Fall 2012Spring 2013UMN Courses
xxNURS 5115 Interprofessional Healthcare Informatics
x NURS 5116* Consumer/Self‐Care Informatics
xxNURS 8193 Clinical Decision Support

 

Additional Elective Courses

Ethics

 

Fall 2012Spring 2013UMN Courses
 xBioC 8401 Ethics, Public Policy, and Careers in Molecular and Cellular Biology
 xBTHX 5000 Topics in Bioethics
x BTHX 5300 Foundations of Bioethics
  BTHX 5325 Biomedical Ethics
  BTHX 5400 Introduction to Bioethics in Health Policy
  BTHX 5453 Law, Biomedicine, and Bioethics
x x BTHX 5610 Bioethics Research and Publication Seminar 
  BTHX 5620 Social Context of Health and Illness
xxBTHX 5900 Independent Study in Bioethics
  EdPA 8095 Surviving in the Research World
xxPubH 6741* Ethics in Public Health: Professional Practice and Policy
xxPubH 6742* Ethics in Public Health: Research and Policy

 

F12W13S13Su13Mayo Clinic Courses
    CORE 6000su RESPONSIBLE CONDUCT OF RESEARCH

 

Leadership and Management

 

Fall 2012Spring 2013UMN Courses
  xBICB 8970* Leadership Seminar
 PA 4190 Topics in Public and Nonprofit Leadership and Management
x xMOT 4001 Leadership, Professionalism and Business Basics for Engineers

 

Suggested courses to fill gaps

Courses to fill gaps may not count towards fulfillment of core degree requirements. They may count as elective courses to satisfy credit requirements. However, no 3xxx courses and at most one 4xxx course may count towards the degree.

Biology

MIT has made its courses publicly available. An excellent introduction to Biology is the MIT course 7.012 Introduction to Biology (Fall 2004):http://ocw.mit.edu/OcwWeb/Biology/7-012Fall-2004/CourseHome/. The first 19 lectures provide a basic introduction to modern biology. This series of lectures is highly recommended to students who lack a basic introduction to biology. Students are expected to work through the materials on their own, using the class materials provided on the web page.  The 4xxx level courses below may be included in the degree program (at most one 4xxx course may be included in the degree program):

Fall 2012Spring 2013UMN Courses
xxBiol* 4003 Genetics
xxBiol* 4004 Cell Biology

 

Chemistry

MIT has made its courses publicly available. A basic introduction to chemistry for students with a background in chemistry is the MIT course 5.112 Principles of Chemical Science (Fall 2005): http://ocw.mit.edu/OcwWeb/Chemistry/5-112Fall-2005/CourseHome/. Students are expected to work through the materials on their own, using the class materials provided on the web page. To review Organic Chemistry, MIT courses 5.12 Organic Chemistry I and 5.13 Organic Chemistry II are useful. This course does not have audio or video lectures:
http://ocw.mit.edu/OcwWeb/Chemistry/5-12Organic-Chemistry-ISpring2003/CourseHome/
http://ocw.mit.edu/courses/chemistry/5-13-organic-chemistry-ii-fall-2003/

 

Computer Science

 The 4xxx level courses below may be included in the degree program (at most one 4xxx course may be included in the degree program):

Fall 2012Spring 2013UMN Courses
xxCSci 1113 Introduction to C/C++ Programming for Scientists and Engineers
 xEE 3015 Signals and Systems
  CSci 3003 Introduction to Computing in Biology
xxCSci 4011 Formal Languages and Automata Theory
xxCSci 4041 Algorithms and Data Structures

 

Calculus

 This course may be included in the degree program:

F12W13S13Su13Mayo Clinic Courses
    BME 5200su ADVANCED ENGINEERING MATHEMATICS