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MODULE HANDBOOK

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Nguyễn Gia Hào

Academic year: 2023

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MODULE HANDBOOK

Module name Practicum of Programming and Algorithm Module level, if applicable 1st year

Code, if applicable SST-106 Semester(s) in which the

module is taught 1st (first) Person responsible for the

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

Lecturer Rahmadi Yotenka, S.Si., M.Sc.

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

Language Bahasa Indonesia

Relation to curriculum Compulsory course in the first year (1st 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)

Lab work 25-30 0.83 Problem

solving

Face to face teaching 13.33 Structured activities 27

Exam 5

Total workload 45.33 hours

Credit points 1 CU / 1.7 ECTS

Requirements according to the examination regulations

Minimum attendance at lectures is 75%. Final score is evaluated based on pre-test, assignment, and practicum final exam.

Recommended prerequisites Students have taken or are currently taking Programming and Algorithm course (SST-105)

Related course Programming and Algorithm

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. apply the modes and data types in R and arithmetic operations in R

CO 2. make function programs for sequential structures, branching structures, and loop structures

CO 3. simulate programming to solve problems in the field of statistics using R

Content

Types of objects vector, matrix, data frame, and list Function program for sequential structures

Function program for branching structures with IF, IF..ELSE, and SWITCH

Function program for loop structures with FOR, WHILE, and REPEAT

Data management with RCLI and R Commander (data entry, data sorting, data selection)

Statistical graphs with the program R Programming simulation in statistics with R

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, Pre-test 20%

2 CO 2 Assignment,

Practicum Final Exam

30%

3 CO 3 Assignment,

Practicum Final Exam

50%

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

Reading list Practicum of Programming and Algorithm Module

(2)

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

CO2

k CO1

CO3 l

Referensi

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