yangon university of economics – yangon university of
Post on 18-Mar-2022
6 Views
Preview:
TRANSCRIPT
Course Description
MAS 111
Descriptive Statistics
This course is intended to be an introdu
ction to the basic concepts for analysis of univariate data
and basic concepts of probability. Topics include: Nature
and scope of Statistics. Types of data and levels of
measurement. Data collection process: observation,
experiment, and sample survey. Presentation of data:
frequency distributions and graphical methods by SPSS
computerized demonstration. Summary statistics:
measures of location for ungrouped data, measures of
dispersion, measures of position for ungrouped data.
Outlier, Stem and Leaf plot and Box-plot. Standard
scores. Chebyshev's theorem, empirical (normal) rule.
Approaches to probability. Properties of probability.
Additive and multiplicative laws of probability.
Conditional probability and statistical independence.
MAS 112
Official Statistics
This course provides an overview of key areas of Official
Statistics and statistical methods useful in generating
Official Statistics. Topics include: Nature, scope and
sources of economics and social statistics. Agricultural
statistics. Manpower and employment statistics.
Educational statistics. Health and nutrition statistics.
Human development index (HDI) and human resource
development Indicator (HRDI). Poverty statistics.
National income statistics. System of National Accounts
(SNA). Some Economic Index Numbers. Consumer Price
index numbers (CPI). Nominal and real measures.
International trade: trade systems and terms of trade.
Myanmar Economy: selected topics.
MAS113
Principles of Economics
This course provides students with fundamental
economic concepts. The first part covers the framework
to understand the microeconomics and economic
decision making of individuals and firms in market set
ting. The second part encompasses the basic tools of
macroeconomics, determination of macroeconomic
variables in a closed economy as well as in an open
economy.
I am strong£!} 6elieveo t6e
program w6ic6 can create our
brig6ter future ana improve{) our
anafl)tical skills.T6e program
provioeo t6e t6eorlJ as well as
practical£» applieo in all areas
suc6 as researc6 ano oevelopment
sector; financial ana oata anal!Jsis
operation management. SO;t6at is
our opportunitl) to learn in
programme.
Ma Aye Aye K6aing
Safes Force Effectiveness Manager
DKSHCo1Lto
Ro{{No. 15
MASI"t Batc6
I strongly Ge!ieve t6at MAS
can support us to Gecome more
powerful ano professional
statistician in future.
Know!eoge in statistics provioes
us wit6 t6e necessary tools ano
conceptual founoations in
quantitative reasoning to extract
information intelligently from t6e
6uge of oata.
It is important for researc6ers ano
also consumers of researc6 to
unoerstano statistics. so t6at t6ey
can Ge informeD; evaluate t6e
creoiGi!ity ano usefulness of
information ano make appropriate
oecision.
w6en useo correctly statistics tel!
us any trenos in t6e w6at
6appeneo in t6e past ano can Ge
useful in preoicting w6at may
6appen in t6e future prescriGeo.
Dan; saGei Aung
Associate Director
Nielsen MMRD Myanmar
Rof!No. 45
MASrt Batc6
MAS121 Inferential Statistics The objective of this course is to provide essential applica
tions of inferential statistics with concrete illustrations.
Topics include: Basic concepts of statistical inference.
Random variables: discrete and continuous variables and
their probability distributions, concepts of expectation,
variance, covariance and correlation. Distributions of
sums of respective independent random variables, their
means and variances. Sampling distribution of mean and
variance. Some discrete and continuous probability dis
tributions. Central limit theorem. Statistical estimation:
mean, proportion, and variance. Statistical hypothesis
testing: one population mean, one population proportion
and one population variance. Goodness of fit test. Test of
independence in contingency table.
MAS122 Population Statistics This course introduces students to understand the basic
demographic data analysis. Topics include: Meaning and
scope of statistical demography. Sources of population
data and their limitations: population census, vital
registration system and survey. Measures of population
change, population structure and distribution of popula
tion. Population pyramids. Evaluation of census data.
Basic demographic indicator. Estimation of population
and population growth rates. Basic measures of fertility,
mortality and migration. Life table: types, functions and
concepts. Construction of life tables. Completeness of
registration data and civil records. Indirect measures of
migration.
MAS123 Qualitative Data Analysis The aim of this course is to provide students with meth
ods for qualitative data analysis. Topics include: The
nature of qualitative data, attribute and variable. Attribute:
dichotomy and notations, positive and negative attribute
classes, methods for determining class frequencies.
Consistency of data. Association of attributes:
comparison of proportions and expected frequencies,
Yule1s coefficient of association, partial and illusory
associations. Analysis of categorical data: manifold
classification and contingency table. Odds ratio. Chi-
square test of independence. Partition of Chi square for
testing independence in two-way contingency table and
three-way contingency table. Measures of associa tion:
Measures of association for ordinal data: rank measures
of association.
MAS131
Design and Analysis of Experiments
This course covers common design of experiments and
their applications to agricultural and bioscience analysis
by the aided of software. Topics include: Basic principles
for design of experiments. Completely Randomized
Design (CRD). Randomized Block Design (RBD).
Regression approach to randomized block design.
Covariance analysis for randomized block design. Latin
Square Design (LSD). Split-plot Design, Factorial
balanced and unbalanced designs. Response curve.
As I am an assistant lecturer;
I 6ave to teac6 nursing researc6
baseo on empirical ano anaf-!)tical
researc6 met6ooologJJ. T6roug6
MAS132
t6is MAS programme1
I can
Operations Management
The course identifies and develops and understanding of
the major problem in the design, planning and control of
productive system and illustrate the independence
between production/ operations and decisions and other
areas of management. Topics include strategic planning
decisions for operations such as demand forecasting,
product design, capacity planning, location, distribution
and layout, operation planning and control such as
aggregate production planning, inventory replenishment
policies and material requirements planning, workplace
management, total quality control, system reliability and
maintenance function.
MAS133
Decision Theory and Analysis
This course focuses on the theory and methods of statisti
cal decision theory. Topics include: Decision making
under certainty. Decision making under uncertainty: use
of different criteria. Decision under expected utility
function. Statistical inference as statistical decision
theory: use of different criteria. Decision under sample
information . Minimax decision rule. Bayes' decision rule.
Decision Tree. Some applications of Bayes' decision rules.
EVPI, EPPI, EPSI.
exteno mJJ statistical nowleoge
w6ic6 can be applieo in teac6ings1
supervising t6e 6ealt6 relateo
researc6 ano eoucational researc6
ano conoucting mJJ investigations.
In mJJ opinion, t6e stateo curricu
lum ano SJlllabUS of t6is pro
gramme encourage us to be wioen
nowleoge in statistical uses. Due
to applicabilitJJ of statisticS; t6is
course is t6e benefocial course for
evioenceo baseo practices. Last!JJ
but not t6e leas I woulo Me to
express mJJ gratituoe t6at our
statistical nowleoge coulo not be
strengt6en wit6out ent6usiastic
teac6ings of our teac6ers in MAS
programme.
Ma Su Su NJJein
Assistant Lecturer
MilitarJJ Institute of Nursing ano
Parameoical Science
R.ollNo. 22
MASI' 1 Batc6
Master of Applieo Statistics
{MAS} provioes me to 6ave
t6oroug6 unoerstanoing of
statistical t6eories ano concepts.
Statistics lectures ana practical
computing wit6 Statistical
software are great!» benefots for
me to furt6er oevelop m:!J skill ana
abilities in Statistics in oroer to
en6ance m:!J researc6 ano anai:!}sis
expertise in m:!J career life.
Ma Min Min T6an
Assistant Director
Central Statistical Organization
Roll No. 2.I
MAS r'1 Batc6
MAS141
Time Series Analysis and Forecasting
This course is concerned with the analysis and forecasting
of time series data. Topics include: Basic time series
models. Decomposition of time series. Trend estimation.
Seasonal variation and measures of seasonality. Forecast
ing a time series: use of trend and seasonal components.
Moving averages, smoothing, Box-Jenkins (ARIMA)
models, testing for nonstationarity, model fitting and
checking, prediction and model selection, seasonal
adjustment. Statistical packages used throughout the
course.
MAS142
Survey Operations
This course introduce student to understand the basic
concepts of planning a survey; sample design and sample
size, frame construction; tabulation plans; preparation of
questionnaires and manual of instruction; field
operations; processing of data, preparation of report.
MAS143
Financial Statistics
This course introduces Financial Statistics to the students.
The contents of the course are clear statements,
definitions and principles of Actuarial Statistics, which
include simple interests and discounts, compound inter
ests and discounts, ordinary annuities certain, and
different types of annuities. Amortization and sinking
funds. Financial ratio analysis .
MAS211
Econometric Methods & Applications
This course motivates students to understand economet
ric modeling and its applications . Topics include: Nature
and scope of econometric. Two variables Linear
Regression Models (simple, Log Linear, Linear-log,
Double Log, Growth Rate, Box-Cox Regression). Multiple
Regression Models. Qualitative Response Regression
Models. Autoregressive and Distributed-log Models.
Simultaneous Equation Methods . Time Series Economet
rics. Nature and quality of econometric data. Demand for
durables, measurement of production function, the
consumption function and investment function.
MAS212
Applied Non-parametric Methods
This course focuses on the theory and methods of making
statistical inference based on nonparametric statistical
techniques. Topics include: Introduction to non
parametric statistical tests. One sample runs test.
Wilcoxon single-rank test for location. Mann- Whitiney
test. Sign test. Test of goodness of fits: binomial and
Normal tests. Measures of association and their tests of
significance. Kruskal-Wallis one-way analysis of variance
(independent samples). Rank correlation coefficients.
Kolmogorov -Smirnov test. Applications of nonparamet
ric tests to environmental and biosciences. Statistical
packages used throughout the course.
MAS213
Survey Designs
This course emphasizes on practical applications of some
sampling designs in survey methodology. Concepts in
designing sample surveys; non-sampling errors; Control
of non-sampling error; Design effect; Simple random
sampling; Systematic sampling; Sampling with varying
probabilities; Stratification, use of auxiliary information;
Cluster sampling; Multi-stage sampling .
MAS214
Industrial Statistics
Overview of the statistical methods useful in quality
assurance; statistical process control; control charts for
variables and attributes, cusum chart, process capability
analysis; acceptance sampling. Total Quality Manage
ment; Six Sigma Management Statistical Process Control:
Continuous Quality Improvement.
MAS215
Biostatistics
This course is designed to introduce the basic principles
and concepts in Biostatistics as well as to give a good
foundation for understanding of biostatistics. Topics
include: Use of statistics in biological and medical
research. Presentation of biological and medical data.
Statistical methods for medical research. Design and
analysis of medical experiments: completely randomized
design, Latin square design. Correlation and regression
analysis of biological data. Categorical data analysis for
biological data. Nonparametric tests for biological data.
Biological assay: Direct and indirect.
wGen I founo out tGat tGe
statistical knowleoge is inevita6fe
for tGe manageria lfunctions of all
sectors ano inoustries/ I Gave
joineo tGe MAS programme to
learn systematic analysis. TGe
knowleoge we Gave learneo Gere in
tGis programme are mucG more
useful tGan we expecteo.
Ma Zin Mar Htay
Director
/Myanmar Business Point co./to
Roll No. IO
MAS rt BatcG
Researcb ano statistics are
tbe in?Jispensa!J!e subjects far profes
sional ?Jeve!apment As I ama tead;er.
I wou!o sl;are 111!) va!uahfe hwwfe?Jge
t/;at is stuOie?J from Master of Applie?J
statistics murse to 111!) nursing st:uit;nts.
Tf;rour/; sud; steppmg stof14
contribute to 111!) muntrys bdtl; sectrJr
?wefopwent
Ma Ni Ni Lwin
Assistant Lecturer
Universit;!} of Nursing
Yangon
Rof!No.n
MAS1' 1 Batc6
MAS221
Multivariate Analysis
This course introduces the students to the statistical
methods for multivariate data analysis. Topics include:
Hotelling T2. Multivariate ANOVA, MANOVA,
Principal components, Factor analysis, Discrimination
analysis and Canonical analysis. Statistical packages
used throughout the course.
MAS222
Optimization in Operations Research
This course is an introduction to operations research
techniques. Topics include: Role of operations research
techniques in business. Linear Programming: Graphical
and Simplex Method. Transportation Model. Assign
ment Model. Inventory Models. Waiting Line Models.
PERT and CPM Analysis.
MAS223
Market Research Techniques This course emphasizes on the key concepts of market
research. Topics include: Defining the market research
problem and developing an approach. Environmental
context of the problem, Management decision problem
and marketing research problem. Exploratory research
design: Secondary data and qualitative research.
Descriptive research design: survey and observation .
Questionnaire and form design. International Market
ing research. Application to studies of consumer
behavior and attitudes, retail studies, segmentation and
construction of market research for non-consumer
goods, public opinion research, for government. The
data analysis for marketing research will be conducted
using statistical software.
MAS224
Environmental Impact Analysis
Topic include: Myanmar agenda 21, the main objectives,
issues and challenges, structure and organizations.
Some largest environmental problems now affecting the
words: acid rain, water pollution, air pollution, soil
pollution, global warming, hazardardes wastes, green
house, ozone depletion, smog, overpopulation etc. Key
environment issues and causes in ASEAN: environmen
tal indicators, the framework applied in the integrated
system (PSR) in ASEAN countries, pressure indicators,
state indicators and response indicators. Comparative
study of environment indicators in some ASEAN
countries. Environmental Impact Assessment (EIA) and
Social Impact Assessment (SIA).
Prof. Dr. Mya Thandar
Dr . Mya Thandar is a Professor at the Department of Statistics, Yangon University of
Economics (November 2012 to present) . She started to join the Department of
Statistics, Yangon University of Economics as a tutor in 1994. She got her B. Econ
(Statistics) degree in 1991 and M. Econ (Statistics) degree in 1998 from Yangon
University of Economics. In 2000, she also attained MAS (Master in Applied
Statistics) degree from the Polytechnic University of the Philippines. She achieved
Ph.D degree from Yangon University of Economics in 2010. She was an Associate
Professor (Head of Department of Statistics) in Monywa University of Economics
(2011-2012) and a Professor (Head of Department of Statistics) in Monywa
University of Economics (December 2013- May 2014 and August 2015- November
2015). Her specialized field of study is Time Series Analysis and Forecasting. She is
currently giving lectures on Time Series Analysis and Forecasting at M. Econ
(Statistics) and Ph. D classes. She also teaches Statistics for Public Administration,
Business Statistics, Quantitative Methods and many statistics subjects at MPA,
EMPA, MBA, DRS and DIM classes.
Prof. Dr. Aye Thida
Dr. Aye Thida is a Professor at the Department of Statistics, Yangon University of Economics. She
began her academic career in 1986 as a Tutor at department of Statistics, Yangon University of
Economics. She got her B.Econ (Statistics) degree in 1983 and M.Econ (Statistics) degree in 1995
from the Yangon University of Economics. She also got her PhD degree from Yangon University of
Economics in June 2018. She was an Associate Professor in Yangon University of Economics
(December, 2018) and Professor in Yangon University of Economics (December, 2019). Her
speciality is Econometrics. She is currently giving Lecture on Econometrics at M.Econ (Statistics)
and MAS.
top related