Page 156 - buku panduan 20192020

Faculty of Science Handbook, Session 2019/2020

cluster sampling, two-stage sampling and ratio and Medium of Instruction:
regression estimates. English

Assessment: Soft Skills:
Continuous Assessment: 40% CS3, CTPS3
Final Examination: 60%
References:
Medium of Instruction: 1. Adriaans, P., & Zantige, D. (1996). Data mining.
English Addison-Wesley.
2. Hand, D., Mannila, H., & Smyth, P. (2001). Principles
Soft Skills: of data mining. MIT Press.
CS3, CTPS3 3. Cios. K. J. et al. (2010). Data mining: A knowledge
discovery approach. New York: Springer-Verlag
References:
1. Scheaffer, R. L. (2006), Elementary survey sampling
th
(6 ed.). Duxbury. SIT3011 BIOINFORMATICS
nd
2. Thompson, S. K. (2002), Sampling (2 ed.). Wiley.
3. Lohr, Sharon L. (2010). Sampling: Design and Statistical modelling of DNA/protein sequences:
nd
analysis (2 ed). Cengage Learning. Assessing statistical significance in BLAST using the
4. Cochran, W. (1977). Sampling techniques (3 ed.). Gumbel distribution; DNA substitution models; Poisson and
rd
Wiley. negative binomial models for gene counts; Hidden Markov
Model.

SIT3009 STATISTICAL PROCESS CONTROL Algorithms for sequence analysis and tree
construction: Dynamic programming for sequence
Methods and philosophy of statistical process control. alignment and Viterbi decoding; neighbour-joining,
Control charts for variables and attributes. CUSUM and UPGMA, parsimony and maximum likelihood tree-building
EWMA charts. Process capability analysis. Multivariate methods.
control charts. Acceptance sampling by attributes and
variables. Analysis of high-dimensional microarray / RNA-Seq
gene expression data: Statistical tests for detecting
Assessment: differential expression, feature selection, visualization, and
Continuous Assessment: 40% phenotype classification.
Final Examination: 60%
Assessment:
Medium of Instruction: Continuous Assessment: 40%
English Final Examination: 60%

Soft Skills: Medium of Instruction:
CS3, CTPS3 English

References: Soft Skills:
1. D. C. Montgomery. (2009). Introduction to statistical CS3, CTPS3
th
quality control (6 ed.). Wiley.
2. R. S. Kenett, & S. Zacks. (1998). Modern industrial References:
statistics: Design and control of quality and reliability.
Duxbury Press. 1. Jones, N.C., & Pevzner, P.A. (2004). An introduction
3. A. J. Duncan. (1986). Quality control and industrial to bioinformatics algorithms. Massachusetts: MIT
statistics (5 ed.). Irwin. Press.
th
2. Durbin, R., Eddy, S., Krogh, A., & Mitchison, G.
(1998). Biological sequence analysis: Probabilistic
SIT3010 INTRODUCTION TO DATA MINING models of proteins and nucleic acids. Cambridge:
Cambridge University Press.
Description: Introduction to statistical methods and tools for 3. Ewens, W.J., & Grant, G.R. (2005). Statistical
nd
analysis of very large data sets and discovery of interesting methods in bioinformatics: An introduction (2 ed.).
and unexpected relationships in the data. New York: Springer.
4. Pevsner, J. (2009). Bioinformatics and functional
nd
Data preprocessing and exploration: data quality and data genomics (2 ed.). New York: Wiley-Blackwell.
cleaning. Data exploration: summarizing and visualizing
data; principal component, multidimensional scaling. Data
analysis and uncertainty: handling uncertainty; statistical SIT3012 DESIGN AND ANALYSIS OF EXPERIMENTS
inference; sampling.
Philosophy related to statistical designed experiments.
Statistical approach to data mining and data mining Analysis of variance. Experiments with Blocking factors.
algorithms: Regression, Validation; classification and Factorial experiments. Two level factorial designs. Blocking
clustering: k-means, CART, decision trees; Artificial Neural and confounding system for two-level factorials. Two-level
Network; boosting; support vector machine; association fractional factorial designs.
rules mining. Modelling: descriptive and predictive
modelling. Data organization. Assessment:
Continuous Assessment: 40%
Assessment: Final Examination: 60%
Continuous Assessment: 40%
Final Examination: 60% Medium of Instruction:
English

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