The study of life, its origins, diversity and intricacies.
This is a list of graduate courses for the MS in Biotechnology and Bioinformatics program offered at CSU Channel Islands.
 MGT 471 |
MGT 421 |
PHYS 445 |
BINF 500 |
BINF 501 |
| BIOL 490 |
BIOL 502 |
BIOL 503 |
BIOL 504 |
BIOL 505 |
| BIOL 506 |
BIOL 507 |
BIOL 508 |
BIOL 509 |
BIOL 510 |
| BINF 510 |
BINF 511 |
BINF 512 |
BINF 513 |
BINF 514 |
| BIOL 600 |
BIOL 601 |
MGT 471 PROJECT MANAGEMENT (3)
Three hours lectures per week
Presents the principles of project management, which is a special form of work organization, that focuses on a one-time objective. Discusses all aspects of project management: definition of objectives,
selection of team and other resources, establishing of timing and sequences, creation of monitoring and control processes, and development of analysis and reporting mechanisms. Course Learning Objectives
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BINF 500 DNA AND PROTEIN
SEQUENCE ANALYSIS (3)
Three hours lecture per week
Prerequisite: BIOL 400 or consent
of instructor
This course will introduce the computational
aspects of biological inference from
nucleic acid and protein sequences.
Pairwise sequence comparison and multiple
sequence alignment will be studied
in detail. Additional topics include:
RNA structure prediction, conserved
sequence pattern recognition (sequence
profile analysis), phylogenetic analysis
algorithms, sequence data as a means
to study molecular evolution, models
and algorithms for genetic regulation,
contig assembly, PAM and BLOSUM matrices,
protein three dimensional structure
prediction. Course Learning Objectives
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BIOL 502 TECHNIQUES IN GENOMICS/PROTEOMICS
(2)
Six hours laboratory per week
Prerequisite: BIOL 401 or consent
of the instructor
This laboratory course introduces
students to the current techniques
and methodologies in the fields of
comparative and functional genomics
and proteomics. Topics and techniques
covered include genome sequencing,
microarrays, mutagenesis, transgenic
plants and animals, single nucleotide
polymorphism (SNP) discovery and analysis.
Students will gain hands-on lab bench
experience and will make on-site visits
to high volume regional biotechnology
facilities. Course Learning Objectives
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BIOL 503 BIOTECHNOLOGY LAW
AND REGULATION (3)
Three hours lecture per week
Individual and organizational responsibility
in R&D and commercial aspects
of biotechnology. Topics include:
intellectual property, privacy, government
and industrial regulation, liability,
ethics, and policy responses to societal
concerns in the U.S. and abroad. Case
studies involving gene therapy, cloning,
and biomaterials in the medical and
health sector, and farming and crop
modification in the agricultural sector
will be explored in detail. Course Learning Objectives
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BIOL 600 TEAM PROJECT (4)
Prerequisite: Program approval
In this course, students will work
individually and in teams to analyze,
research, discuss and report on subjects
relevant to the biotechnology industry. Course Learning Objectives
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BIOL 601 SEMINAR IN BIOTECHNOLOGY
AND BIOINFORMATICS (1)
Discussion of up-to-date research
and development findings with guest
speakers, visiting scientists and
industry professionals. Course Learning Objectives
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BIOL 504 MOLECULAR CELL BIOLOGY
(3)
Three hours lecture per week
Prerequisite: BIOL 300 or consent
of instructor
This course will examine molecular
and mechanistic aspects of cell biology.
Topics include: cell biochemistry
and biosynthesis, cell signaling,
regulation of the cell cycle and membrane
trafficking. Course Learning Objectives
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BIOL 505 MOLECULAR STRUCTURE
(4)
Three hours lecture and three hours
laboratory per week
Prerequisite: BIOL 400 or consent
of instructor
This course will examine the structural
biology of proteins. Topics include
general principles of protein structure,
the biochemical function of proteins,
the relationship of protein structure
to its function and experimental approaches
to determining and predicting protein
structure and function. Course Learning Objectives
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A minimum of 10 units chosen from the following courses and/or from the elective courses under the Bioinformatics Emphasis:
BIOL 490
SPECIAL TOPICS: Bioprocess Engineering (3)
Three hours seminar per week
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BIOL 506 MOLECULAR EVOLUTION
(4)
Three hours lecture and three hours
laboratory per week
Prerequisite: BIOL 400 or BIOL 401
or consent of instructor
This course will examine evolutionary
change at the molecular level. Topics
include: The driving forces behind
the evolutionary process, the effects
of the various molecular mechanisms
on the structure of genes, proteins,
and genomes, the methodology for dealing
with molecular data from an evolutionary
perspective and the logic of molecular
hypothesis testing. Course Learning Objectives
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BIOL 507 PHARMACOGENOMICS
AND PHARMACOPROTEOMICS (3)
Three hours lecture per week
Prerequisite: BINF 500, BIOL 504 or
permission of instructor
Structural and functional genomics
with an emphasis on how these fields
operate in drug discovery and optimization.
Topics include: genetics of the human
response to prophylactic and therapeutic
agent, impact of genetic variation
on therapeutic efficacy, disease mechanisms,
proteomics of genetic and communicable
disease, drug action and toxicity,
structure encoding, lead discovery
and optimization, parallel synthesis,
screening virtual libraries. Course Learning Objectives
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BIOL 508 ADVANCED IMMUNOLOGY
(4)
Three hours lecture and three hours
laboratory per week
Prerequisite: BIOL 300 or consent
of instructor
This course will examine cellular
and molecular aspects of the immune
system. Topics include: molecular
genetics and molecular structure of
immunoglobulin, T cell receptor, and
the MHC antigens; the functions and
dysfunctions of the components of
the immune system; applications of
immunological technologies in modern
scientific research and development. Course Learning Objectives
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BIOL 509 PLANT BIOTECHNOLOGY
(4)
Three hours lecture and three hours
laboratory per week
Prerequisite: BIOL 400 and BIOL 422
or consent of instructor
This course will examine the scientific
and technical advances which underlie
the production of genetically modified
crops. Topics include: plant genome
organization and gene expression,
plant tissue culture and genetic transformation,
genetic manipulation to confer resistance
to herbicides, pests and disease and
strategies for engineering stress
tolerance and the improvement of crop
yield and quality. Course Learning Objectives
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BIOL 510 TISSUE CULTURE TECHNIQUES AND STEM CELL TECHNOLOGY
(3)
One hours lecture per week and six hours laboratory per week
Prerequisite: BIOL 300 or consent
of instructor
Examines theory and concepts of animal and plant cell and tissue culturing. Focuses on stem cell technology including types of stem cells, ethics of stem cells, pluripotency, culture methods, characterization, monitoring tools such as imaging and differentiation strategies. Course Learning Objectives
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MGT 421 HUMAN RESOURCE MANAGEMENT (3)
Three hours lecture per week
Examines principles, methods and procedures in the management of human resources. Topics include developing planning objectives for HR management, legal compliance, job analysis, recruiting, selection, training, compensation and employee relations.
Course Learning Objectives
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BINF 501 BIOLOGICAL INFORMATICS
(3)
Three hours lecture per week
Prerequisite: BIOL 431 or consent
of instructor
This course describes relational data
models and database management systems
with an emphasis on answering biologically
important questions; teaches the theories
and techniques of constructing relational
databases to store various biological
data, including sequences, structures,
genetic linkages and maps, and signal
pathways. Topics include: relational
database query language SQL and the
ORACLE database management system,
summary of currently existing biological
databases, web based programming tools,
data integration and security, future
directions for biological database
development. Course Learning Objectives
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BINF 510 DATABASE SYSTEMS
FOR BIOINFORMATICS (3)
Three hours lecture per week
Prerequisite: BINF 501, COMP 420,
or consent of instructor
This course is an applied, hands-on
sequel to BINF 501, designed for students
with interests in careers as professional
programmers, analysts, designers,
and managers involved in design or
implementation of large bioinformatic
systems. Covers concepts and methods
for the design, creation, query and
management of large enterprise databases,
functions and characteristics of the
leading database management systems.
Topics include: object oriented database
systems, distributed database systems,
advanced database management topics,
web application design and development,
data warehouse systems, database mining. Course Learning Objectives
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BINF 511 COMPUTATIONAL GENOMICS
(3)
Three hours lecture per week
Prerequisite: BINF 500 or consent
of instructor
This course applies the theories and
algorithms taught in BINF 500 to real-life
genomic data sets, with an emphasis
on practical applications, hands-on
analysis, integrated approaches and
collaboration. Lecture and laboratory
will explore the computational and
engineering tools for analyzing genomic
data. The relationships between sequence,
structure, and function in complex
biological networks will be studied
using quantitative modeling. Course Learning Objectives
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BINF 513 PROGRAMMING FOR
BIOINFORMATICS (3)
Three hours lecture per week
Prerequisite: BINF 501 and COMP 462
or equivalent, or permission of instructor
This course will provide theory and
practical training in the development
of programming tools and data processing
systems for use in genomic/sequence
analysis. There will be a strong emphasis
on the development of fully-functional
web-based applications under the client/server
model. Students will be required to
complete a term project which will
involve the development of a complete
client/server application directed
toward a relevant bioinformatics task. Course Learning Objectives
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A minimum of two courses chosen from the following and/or from the elective courses under the Biotechnology Emphasis, with at least one course in the BINF category:
BINF 512 ALGORITHMS FOR BIOINFORMATICS
(3)
Three hours lecture per week
Prerequisite: BINF 500 or consent
of instructor
This course will cover advanced theory
in the area of biological informatics
and will build on concepts introduced
in BINF 500. Topics include: methods
to support construction and application
of combinatorial biochemical libraries,
applications of algorithmic information
theory, string matching, dynamic programming,
prediction of three-dimensional protein
structure from peptide sequence. Course Learning Objectives
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BINF 514 STATISTICAL METHODS
IN COMPUTATIONAL BIOLOGY (3)
Three hours lecture per week
Prerequisite: BIOL 202, MATH 151 or
consent of instructor
Techniques in statistical inference
and stochastic modeling required for
the interpretation and utilization
of genomic data, including biological
sequence alignment and analysis, sequence
structure and function prediction,
database searching, gene expression
profiling, statistical genetics, phylogenetic
inference and genetic epidemiology. Course Learning Objectives
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PHYS 445 IMAGE ANALYSIS & PATTERN RECOGNITION (3)
Three hours of lecture in the lab per week.
Prerequisite: PHYS/COMP/MATH 345 or consent of instructor.
The course addressses the issue of analyzing the pattern content within an image. Pattern recognition of image segmentation, feature extraction and classification. The principles and concepts underpinning pattern recognition, and the evolution, utility and limitations of various techniques (including neural networks) will be studied. Programming exercises will be used to implement examples and applications of pattern recognition processes, and their performance on a variety of diverse synthetic and real images will be studied, and an individual project report will be completed.
Course Learning Objectives
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MGT 421 HUMAN RESOURCE MANAGEMENT (3)
Three hours per week
Examines principles, methods and procedures in the management of human resources. Topics include developing planning objectives for HR management, legal compliance, job analysis, recruiting, selection, training, compensation and employee relations.
Course Learning Objectives
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