MODULE HANDBOOK
Module name Practicum of Applied Multivariate Statistics Module level, if applicable Bachelor
Code, if applicable SST-607 Subtitle, if applicable -
Courses, if applicable Practicum Applied Multivariat Statistics Semester(s) in which the
module is taught 6th (sixth) Person responsible for the
module Chair of lab. Data Mining
Lecturer Muhammad Muhajir, S.Si., M.Sc.
Sekti Kartika Dini, S.Si.,M.Si.
Language Bahasa Indonesia
Relation to curriculum Compulsory course in the third year (6th 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 minutes 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 theexamination regulations
Students have taken Practicum Applied Multivariat Statistics course (SST-607) and completed all the Practicum reports.
Recommended prerequisites Students have taken or are currently taking Applied Multivariat Statistics course (SST-607)
Module objectives/intended learning outcomes
After completing this course, the students have ability to:
CO 1. describe the descriptive of multivariate data CO 2. explore the normal multivariate distribution
CO 3. make scientific reports as scientific studies of various multivariate method
Content
Descriptive of Multivariate Data Normal Distribution Multivariate Multivariate Analysis Anova Discriminant Analysis Factor Analysis
Principal Component Analysis Hierarchy Clustering
Non Hierarchy Clustering
Study and examination requirements and forms of examination
The final mark will be weighted as follows:
No Assessment components
Assessment types Weight (percentage) 1 CO1 Pre-test, assignment,
practicum final exam
10%
2 CO2 Pre-test, assignment, practicum final exam
15%
3 CO3 Pre-test, assignment, practicum final exam
75%
Media employed White-board, Laptop, LCD Projector
Reading list Applied Multivariat Statistics Practicum Module
Mapping CO, PLO, and ASIIN’s SSC
ASIIN PLO
E N T H U S I A S T I C
Knowledge
a CO1
b c
d CO2
Ability e CO3
f CO3
Competency g h i j k l
