MODULE HANDBOOK

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MODULE HANDBOOK Module name Practicum of Time Series Analysis Module level, if applicable Bachelor

Code, if applicable SST-508 Subtitle, if applicable -

Courses, if applicable Practicum Time Series Analysis Semester(s) in which the

module is taught 5^th (fifth) Person responsible for the

module Coordinator of lab. Statistics Study Program Lecturer

Arum Handini Primandari, S.Pd.Si., M.Sc.

Mujiati Dwi Kartikasari, S.Si., M.Sc.

Dina Tri Utari, S.Si., M.Sc.

Language Bahasa Indonesia

Relation to curriculum Compulsory course in the third year (5^th semester) Bachelor Degree Type of teaching, contact

hours 100 minutes lectures and 180 minutes structured activities per week.

Workload

Total workload is 46.67 hours per semester, which consists of 100 minute lectures per week for 10 weeks, 180 minutes structured activities per week, in total is 10 weeks per semester, including pre- test and practicum final exam.

Credit points 1

Requirements according to the examination regulations

Students have taken Practicum Time Series Analysis course (SST- 508) and completed all the practicum reports.

Recommended prerequisites Students have taken or are currently taking Time Series Analysis course (SST-505)

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. master basic strategies for transferring methods in the case of time series data

CO 2. utilize the R software in time series data analysis applications CO 3. make scientific reports as a scientific study of time series models

Content

Moving average Exponential smoothing Decomposition

ARIMA SARIMA

Fuzzy Time Series

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 Pre-test, assignment,

practicum final exam

25%

2 CO 2 Pre-test, assignment, practicum final exam

25%

3 CO 3 Pre-test, assignment, practicum final exam

50%

Media employed White-board, Laptop, LCD Projector

Reading list Practicum of Time Series Analysis Handbook

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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 f

Competency g

h CO1

CO3 i

j

k CO2

CO3 l