• Tidak ada hasil yang ditemukan

MODULE HANDBOOK

N/A
N/A
Nguyễn Gia Hào

Academic year: 2023

Membagikan "MODULE HANDBOOK"

Copied!
2
0
0

Teks penuh

(1)

MODULE HANDBOOK Module name Official Statistics I

Module level, if applicable Bachelor Code, if applicable SST-201 Subtitle, if applicable -

Courses, if applicable Official Statistics I Semester(s) in which the

module is taught 2nd (second) Person responsible for the

module Chair of the lab Statistical Disaster Management

Lecturer Ir. Suparna, M.Si.

Sekti Kartika Dini, S.Si., M.Si.

Language Bahasa Indonesia

Relation to curriculum Compulsory course in the first year (2nd semester) Bachelor Degree Type of teaching, contact

hours 150 minutes lectures and 180 minutes structured activities per week.

Workload

Total workload is 130 hours per semester, which consists of 150 minutes lectures per week for 14 weeks, 180 minutes structured activities per week, 180 minutes individual study per week, in total is 16 weeks per semester, including mid exam and final exam.

Credit points 3

Requirements according to the examination regulations

Students have taken the Official Statistics I course (SST-201) and have an examination card where the course is stated on.

Recommended prerequisites -

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. explain the concept of the official statistics model

CO 2. explain statistical methods in solving official statistics problems CO 3. partition the problems of country conditions with official

statistics

CO 4. apply official statistical modeling

Content

Introduction Official Statistics and Social Statistics: data and development indicators,

Demographics: demography, mortality, natality, migration

Health and Education Statistics: gender statistics, health, education Sustainable Development Statistics: employment statistics, population projection, poverty statistics, human development index, gender development index, Indonesia’s democracy index

Village Potential Statistics

Study and examination requirements and forms of examination

The final mark will be weighted as follows:

No Assessment components

Assessment types Weight

(percentage) 1 CO 1 Assignment, Midterm Exam 15%

2 CO 2 Quiz, Final Exam 25%

3 CO 3 Midterm Exam 30%

4 CO 4 Final Exam 30%

Media employed White-board, Laptop, LCD Projector

Reading list

1. StatSoft, Inc. 2013. Electronic Statistics Textbook. Tulsa, OK:

StatSoft. WEB: http://www.statsoft.com/textbook/

2. Walpole R, E. 1995. Pengantar Statistika. PT Gramedia Pustaka Utama. Jakarta

3. BPS.2011. Ensiklopedia Indikator Ekonomi dan Sosial.

BPS.Jakarta

4. BPS. 2018. Indikator Tujuan Pembangunan Berkelanjutan (TPB) Indonesia 2018. BPS. Jakarta

(2)

5. BPS. various years. Publication and Official News BPS. BPS.

Jakarta

Mapping CO, PLO, and ASIIN’s SSC

ASIIN PLO

E N T H U S I A S T I C

Knowledge a b c d

Ability e CO1

CO2 f

Competency g

h CO3

CO4 i

j k l

Referensi

Dokumen terkait

make statistical modelling and scientific descriptions of advanced multivariate method Content Canonic Correlation Multidimensional Scalling Conjoint Analysis Analysis of Covariance

Content Business Environment: An Introduction Concept of Business Levels of the Business Environment Understanding the Environment Economic Environment: Introduction Economic

apply PHP and HTML programming for web-based database management Content The basic concept of the database Introduction to MySQL MySQL application Commands in MySQL MySQL

apply methods and measurements of working time in the production system Content The scope of work methods and measurements Productivity Introduction to sampling methods Principles

apply and interpret the Accelerated Failure Time AFT Model on survival data Content Introduction: the survival data Incomplete observations: truncated and censored data Survival and

Excel Data organization in SPSS Introduction to Minitab Data management and data visualization in R Basic Statistics and ANOVA Using SPSS Basic Statistics and ANOVA Using Minitab

apply the continuous markov chain to solve the real problems Content The basic of probability: ProbabilitY, Conditional Probability, and Conditional Expectation Discrete Markov

Excel Data organization in SPSS Introduction to Minitab Data management and data visualization in R Basic Statistics and ANOVA Using SPSS Basic Statistics and ANOVA Using Minitab