Essential Bioinformatics and Biocomputing (LSM2104: Section I ...

dasypygalstockingsBiotechnology

Oct 2, 2013 (4 years and 9 days ago)

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What is Computational Science?


About the Department.


Teaching Program


Research Program

It is the
3rd paradigm

for discovery in Science and

for solving scientific and engineering problems

(the other two being experiment and theory)


It is an
emerging discipline


that uses computers and

mathematical algorithms

as tools for problem solving.


From bioinformatics to financial modeling, drug design to
aerodynamics simulation, from IT to education, a host of
diverse and exciting careers exist.


The major employment sectors are education, IT, finance,
life sciences, materials, and defense industries.


Our graduates also enter postgraduate study in top
Universities like Stanford and University Chicago.

Employed Computational Science Graduates by Type of Industry




Industry

Year

2002

2001

%

%

Education

16.7

42.8

Manufacturing

8.3

14.3

Trade and commerce

-

14.3

Finance, Insurance services

25.0

14.3

Information Technology

33.4

-

Community, social etc

8.3

14.3

Legal

8.3

-

TOTAL

100.0

100.0

Mean Gross annual salary from 2001, 2002 and 2003 : $27,345

Advantage of taking a computational science minor


It gives you an extra skill employer cherishes and

an edge in finding jobs.



US newspapers reported

that multitalented workers

with life science and

computational ability are

in demand and command

higher salary that goes

into 6 figures.

Major in Computational Sci.
---

admitted to the
science faculty, have good mathematics or physical
science grades, and have an interest in computation.


Minor in Computational Sci.(value
-
added training)
---

admitted to the science faculty, have an interest in
computation.

7


We are pioneer in computational science
education at the undergraduate level.


Three components


Computational/Numerical Techniques (Problem
Solving)


Modeling and Simulation


Specialization Areas (Mathematics, Physics,
Chemistry, Life Sciences, Statistics)




There are many areas to choose!


Strong graduate program


8


Programming and Numerical Skills


Problem Solving (C programming) I & II, Techniques in Scientific
Computing, High Performance Computing; Numerical Methods I & II,

Numerical Methods for Differential Equations



Modeling and Simulation


Simulation, Scientific Modeling,
Monte Carlo and Molecular Dynamics



Specialization


Bioinformatics
,
Biocomputing
, Computational Biology,
Computer aided
drug design



Mathematics


Calculus, Linear Algebra,
Probability and Statistics



Domain Knowledge


Organic Chemistry
,
Biochemistry of Biomolecules, Metabolism and
Regulation, Molecular Biology, Protein Structure and Function,
Functional Genomics, Structural Biology


Color scheme:

Essential,

Elective,

Life Science Modules

9


Programming and Numerical Skills


Problem Solving (C programming) I & II,
Numerical Methods I & II,
Techniques in Scientific Computing




Modeling and Simulation


Simulation,
Scientific Modeling,

Monte Carlo and Molecular Dynamics




Specialization


Bioinformatics, Biocomputing,
Computer
-
aided drug design



Note:

You need to select a total of 6 modules from the list

Color scheme:

Essential,

Elective,

Life Science Modules



Life science and drug design:



Probe protein function to study things like why SARS
coronavirus is so dangerous.


Use computers to design and test new drugs.


Crack the mystery of traditional Chinese medicine.



Finance and social phenomena



Probe emergent phenomena in stock fluctuation, traffic
jam, human migration, politic party formation.



Develop models for stock index variations.




Mathematics, materials and defense


Study fluids, plasma, laser and optical media used in
aerospace, defense, and materials.


Understand chemical reactions to study things like what
affect the ozone layers.


Simulate nanostructures


as potential medical or


drug delivery devices.