COURSE TITLE COMPUTATIONAL SCIENCE LABORATORY ...

Faculty of Computer Science and Information Technology, UNIMAS
COURSE TITLE
COURSE CODE
COMPUTATIONAL SCIENCE LABORATORY
(Makmal Sains Komputan)
TMP2713
CREDIT 3
PREREQUISITE/S
SYNOPSIS
TMC1833 Calculus
TMC1853 Linear Algebra
This course will teach students to solve computational science
problems, ranging from the natural sciences such as chemistry
and biology as well as problems in the engineering and
economics fields. Depending on the problems that need to be
solved, mathematical and statistical packages such as MatLab
and R Statistical Package will be used to assist the students. This
will enable the students to understand not only the usage of
mathematical tools but also the mathematical aspects of the
problem in hand.
(Kursus ini akan mengajar pelajar untuk menyelesaikan masalah
sains komputan, meliputi sains asli seperti kimia dan biologi
serta masalah dalam bidang kejuruteraan dan ekonomi.
Bergantung kepada masalah yang perlu diselesaikan, pakej
matematik dan statistik seperti Matlab dan R Statistical Package
akan digunakan untuk membantu pelajar. Ini akan membolehkan
para pelajar memahami bukan hanya penggunaan alatan
matematik tetapi juga aspek matematik dalam masalah yang
dikaji.)
LEARNING
OUTCOMES
By the end of this course, students will be able to:
o Analyse the results from the computational modelling or
simulation performed on a scientific problem. (C4)
o Reproduce appropriate algorithms/methods in Matlab or R
to solve scientific problems. (P3)
o Initiate steps taken to select appropriate method/technique
when solving scientific problems. (A3)
o Participate in group discussions and respond to scientific
problems that requires the student to think outside the box
TMP2713 Computational Science Laboratory 1 / 4

Faculty of Computer Science and Information Technology, UNIMAS
and critically analyse different methods that can be used to
computationally model and simulate these problems. (CS,
CT, TS, LL)
STUDENT
LEARNING
HOURS
Lectures
Laboratories/Practical
Self-Study
Quizzes, Tests, & Examinations
Total
28 Hour/s
14 Hour/s
87 Hour/s
6 Hour/s
135 Hour/s
LEARNING
UNITS
Supervised
Learning Hours
1. Introduction to Computational Science
Mathematics
Chemistry
Biology
Physics
2
2. Computational tools
2
- MatLab
- R Statistical Package
3. Errors and Uncertainties in Computations
2
- Type of errors
- Experimental Error Investigation
4. Visualization
- Data visualization
- Type of graph
- Graph plotting
2
5. Computational mathematics
2
- Modelling
- Simulation
6. Computational mathematics
2
7. Computational Chemistry
2
- Drug Discovery
- Compound Selection (Fuzzy Clustering)
8. Computational Chemistry
2
- Predicting molecular geometry
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Faculty of Computer Science and Information Technology, UNIMAS
- Molecular vibrations
9. Computational Biology
2
- Introduction to Molecular Biology (Genes )
10. Computational Biology
2
- Information in Molecular Biology
11. Computational Algorithms in Biology
2
- Dynamic Programming Matrices in Sequence
Alignment
12. Computational Physics
2
- An Aircraft Survivability Analysis
- Simulation Model for Aircraft Vulnerability
13. Computational Physics
2
- Modeling of Fluid Flow
14. Fractals and Statistical Growth
2
- The Sierpinski Gasket
- Stock/Finance Estimation
ASSESSMENT Assignment 01
10 %
Assignment 02
15 %
Lab Pratical
10 %
Group Project
20 %
Mid Sem
15 %
Final Exam
30 %
Total
100 %
REFERENCES 1. Introduction to Computational Science: Modeling and
Simulation for the Sciences, Shiflet, A.B., , G.W. Princeton
University Press, 2006
2. Introduction to Bioinformatics Algorithms, Jones, N. , P.,
MIT Press, 2004
3. Introduction to Computational Biology: An Evolutionary
Approach, Haubold, B. , T., Birkhauser Basel Pub., 2007
4. Introduction to Computational Chemistry, Frank Jensen,
2nd Ed. Wiley Pub., 2006
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Faculty of Computer Science and Information Technology, UNIMAS
Last updated: July 28, 2011, Thu, 1:08 PM
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