soalan cbis3203-sistem pintar sept 2012

7/29/2019 Soalan Cbis3203-Sistem Pintar Sept 2012

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PENYERAHAN DAN PENILAIAN TUGASAN

ASSIGNMENT SUBMISSION AND ASSESSMENT

_________________________________________________________________________

KOD KURSUS /COURSE CODE : CBIS3203

TAJUK KURSUS /COURSE TITLE : INTELLIGENT SYSTEM DEVELOPMENT

SEMESTER /SEMESTER :SEPT. 2012

_________________________________________________________________________

ARAHAN KEPADA PELAJAR /INSTRUCTIONS TO STUDENTS

1. Tugasan ini mengandungi SATU (1) soalan sahaja yang disediakan dalam bahasa modul bercetak

kursus ini. / This assignment contains only ONE (1) question that is set in the language of the

printed module for the course.

2. Jawab dalam Bahasa Melayu atau Bahasa Inggeris. / Answer in MalayorEnglish.

3. Muat turunkan templat tugasan versi bahasa yang berkenaan daripada MyVLE untuk

penyediaan dan penyerahan tugasan anda. Tugasan anda hendaklah ditaip dengan

menggunakan Times New Roman fon saiz 12 dan langkau 1.5. baris/ Download the language

version of the assignmenttemplate concerned from the MyVLE for preparation and submission

of your assignment. Your assignment should be typed using 12 point Times New Roman font

and 1.5 line spacing.


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PENILAIAN / EVALUATION

Tugasan ini menyumbang sehingga 40% daripada jumlah markah kursus berkenaan dan akan dinilai

berdasarkan kepada Rubrik yang dilampirkan. / This assignment accounts for 40% of the totalmarks for the course and shall be assessed based on the Rubrics attached.

Anda akan diberikan maklum balas tentang tugasan ini sebelum Peperiksaan Akhir Semester

bermula / You would be given feedback on the assignment before the Final Semester Examination

commences.

PLAGIARISME: POTONGAN MARKAH / PLAGIARISM: MARKS DEDUCTION

Amaran: Tugasan yang diserahkan, secara automatik, akan disemak untuk menentukan kadar

pertindihan. Jika plagiarisme dikesan, markah akan dipotong seperti berikut: / Warning: The

submitted assignment will automatically undergo a similarity check. If plagiarism is detected, marks

would be deducted as follows:

Tugasan dengan pertindihan kandungan antara 10 - 30%: potongan 20% daripada jumlah

markah yang diperoleh.

Tugasan dengan pertindihan kandungan antara 31 - 50%: potongan 40% daripada jumlahmarkah yang diperoleh.

Tugasan dengan pertindihan kandunganlebih daripada 50%: Markah sifar akan diberikan.

Assignments with 10 - 30 % overlap with others: 20% deduction from the total marks scored.

Assignments with 31 - 50 % overlap with others: 40% deduction from the total marks scored.

Assignments with more than 50% overlap with others:Zero markwould be given.

SOALAN TUGASAN /ASSIGNMENT QUESTION


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LAMPIRAN / ATTACHMENT

RUBRIK TUGASAN / ASSIGNMENT RUBRICS

Criteria Weight Poor(0 Mark)

Weak(1 Mark)

Moderate(2 Marks)

Good(3 Marks)

Excellent(4 Marks)

TotalMarks

(Max)

Explanation of the

first advantage of

artificial intelligence

1.0 No explanation on

the advantage

Weak explanation

on the advantage

Moderate explanation

on the advantage

Good explanation on

the advantage

Very good and clear

explanation on the

advantage

4.0

Explanation of the

2nd advantage of



the advantage

Weak explanation

on the advantage


on the advantage

Good explanation on

the advantage

Very good and clear

explanation on the

advantage

4.0

Explanation of the

3rd advantage of



the advantage

Weak explanation

on the advantage


on the advantage

Good explanation on

the advantage

Very good and clear

explanation on the

advantage

4.0

Explanation of the

4th advantage of



the advantage

Weak explanation

on the advantage


on the advantage

Good explanation on

the advantage

Very good and clear

explanation on the

advantage

4.0

Explanation of the

5th advantage of



the advantage

Weak explanation

on the advantage


on the advantage

Good explanation on

the advantage

Very good and clear

explanation on the

advantage

4.0

Examples of the

existing artificial

intelligence system

1.0 No discussion on the

examples

Weak example but

without any

explanation

Good examples with

explanation

Good examples with

good explanation

Very good examples and

detailed explanation

4.0

The importance of

data mining in


1.50 No explanation at all Weak explanation on

the importance of

data mining


on the importance of

data mining

Good explanation on

the importance of data

mining

Very good and clear

explanation on the

importance of data

mining

6


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Compare two data

mining

methodologies

2.50 No comparison on

the two data mining

methodologies

Explanation on ONE

of the data mining

methodologies

Weak comparison on

the two data mining

methodologies and

unable to identify the

advantages and also

disadvantages

Good comparison on

the two data mining

methodologies and able

to identify the

advantages and also

disadvantages

Very good comparison

on the two data mining

methodologies and

identify the advantages

and also disadvantages

very well

10

Total Points/ Marks 10 40


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SOALAN 1 (a)

Kepintaran Buatan ditakrifkan sebagai ".. kepintaran mesin dan cabang sains komputer yang bertujuan untuk menciptakannya." Ia

juga ditakrifkan sebagai gabungan sains dan kejuruteraan dalam membuat mesin pintar yang mampu memaksimumkan peluang

kejayaan. Berdasarkan definisi di atas, bincangkan LIMA (5) kelebihan Kepintaran Buatan. Sokong jawapan anda dengan contoh

sistem Kepintaran Buatan yang sedia ada.

SOALAN 1 (b)

Terangkan kepentingan perlombongan data dalam Kepintaran Buatan. Bandingkan mana-mana DUA (2) kaedah perlombongan

data dan mengenal pasti kelebihan dan kelemahan kaedah perlombongan yang dipilih data.

(40 markah)


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soalan cbis3203-sistem pintar sept 2012

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