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MODULE HANDBOOK Module name Statistical Consulting

Module level, if applicable 3rd year Code, if applicable SST-603 Semester(s) in which the

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

module Muhammad Muhajir, S.Si., M.Sc.

Lecturer Dr. Edy Widodo, S.Si., M.Si.

Kariyam, S.Si., M.Si.

Language Bahasa Indonesia

Relation to curriculum Compulsory course in the third year (6th semester) Bachelor Degree Types of

teaching and learning

Class size Attendance time (hours per week per semester)

Form of active participation

Workload

(hours per semester)

Lecture 50-60 2.5 Problem

solving

Face to face teaching 35 Structured activities 48 Independent study 48

Exam 5

Total Workload 136 hours Credit points 3 CUs / 5.1 ECTS Requirements according to

the examination regulations

Minimum attendance at lectures is 75%. Final score is evaluated based on quiz, assignment, mid-term exam, and final exam.

Recommended prerequisites Students have taken Statistical Method II (SST-204).

Related Course Final Project (SST-701)

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. Students are able to work in teams

CO 2. Students are able to choose creative ideas for a work project according to the competencies they already have

CO 3. Students are able to design work projects by considering several alternative statistical methods for the completion of the work project to be carried out

CO 4. Students are able to form strategic partnerships in the project completion plan of the consultant team's work

CO 5. Students are committed to implementing guidelines or code of ethics for statistical consultants (statistical practice ethics)

CO 6. Students can complete all information and data collected from work projects using appropriate statistical methods

CO 7. Students can compile a comprehensive work progress report CO 8. Students are able to compile final project work reports, present and

communicate the results of the work of the consultant team

Content

1. Create a profile for a consulting firm 2. Prepare a work project proposal

3. Make a logbook of work project activities 4. Prepare a work project progress report 5. Make attractive presentation material 6. Collect primary data

7. Contact a work partner 8. Present work results 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 12,5%

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2 CO 2 Assignment, Midterm Exam 12,5%

3 CO 3 Assignment, Midterm Exam 12,5%

4 CO 4 Assignment, Midterm Exam 12,5%

5 CO 5 Assignment, Final Exam 12,5%

6 CO 6 Assignment, Final Exam 12,5%

7 CO 7 Assignment, Final Exam 12,5%

8 CO 8 Assignment, Final Exam 12,5%

Media employed Google Classroom, relevant websites, slides (power points), video, interactive media, white-board, laptop, LCD projector

Reading list

1. Cabrera, J., dan McDougall, A, (2002), Statistical Consulting 2. Rustagi, J.S, dan Wolfe, D.A., (1982), Teaching of Statistics and

Statistical Consulting

3. Hair, J.F, Anderson, R.E., Tatham, R.L., and Black,W.G., (1995), Multivariate Data Analysis with Reading (4th ed), New Jersey : Prentice-Hall.

4. Hardle, W., dan Simar, L., (2007), Applied Multivariate Statistical Analysis, Second Edition, Springer-Verlag.

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

CO2 CO3 CO4 i

CO1 CO5 CO7 j

k l

CO6 CO7 CO8

Referensi

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Types of teaching and learning Class size Attendance time hours per week per semester Form of active participation Workload hours per semester Lecture 50-60 1.67 Problem solving