MODULE HANDBOOK

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MODULE HANDBOOK

Module name Practicum of Statistical Computing Module level, if applicable Bachelor

Code, if applicable SST-608 Subtitle, if applicable -

Courses, if applicable Practicum of Statistical Computing Semester(s) in which the

module is taught 6^th (sixth) Person responsible for the

module Coordinator of lab. Statistics Study Program Lecturer Dina Tri Utari, S.Si., M.Sc.

Language Bahasa Indonesia

Relation to curriculum Compulsory course in the third year (6^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 of Statistical Computing course (SST- 608) and completed all the Practicum reports.

Recommended prerequisites Students have taken or are currently taking Statistical Computing course (SST-606)

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. make function using R

CO 2. do data analysis and make interpretations of the results obtained using R

Content

Descriptive statistics

Random variable function and normality test Define function, loop, and if

Data visualization

Parameter estimation using MLE method Numerical optimization

Machine learning 1 (Support Vector Machine) Machine learning 2 (Artificial Neural Network)

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, Final

Exam

50%

2 CO 2 Assignment, Final Exam

50%

Media employed White-board, Laptop, LCD Projector Reading list Practicum of Statistical Computing Module

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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 i

j CO1

k CO2

l