PRO FORMA KURSUS
COURSE PRO FORMA
PENTING / IMPORTANT:
Kandungan Pro Forma ini tidak boleh diubah tanpa kelulusan Senat bagi perkara-perkara yang telah ditandakan*. Pindaan kepada perkara lain boleh diluluskan di
peringkat Akademi/Fakulti/Institut/Pusat.
Contents of this Pro Forma shall not be changed without the Senate’s approval for items indicated with *. Changes to the other items can be approved at the
Academy/Faculty/Institution/Centre level.
Versi Bahasa Malaysia
Malay Version
Akademi/Fakulti/Institut/Pusat
Academy/Faculty/Institute/Centre
Ekonomi dan Pentadbiran
Versi Bahasa Inggeris
English Version
Economics and Administration
Jabatan
Department
Statistik Gunaan
Applied Statistics
Nama Program Akademik
Name of Academic Programme
Sarjana Muda Ekonomi
Bachelor of Economics
EIA2013
EIA2013
Tajuk Kursus*
Course Title*
Ekonometrik I
Econometrics I
Kredit*
Credit*
3
3
Masa Pembelajaran Pelajar (SLT)
Student Learning Time (SLT)
120
120
Prasyarat/Keperluan Minimum Kursus
Course Pre-requisite(s)/Minimum Requirement(s)
Lulus EIA2017 (Statistik II)
Passed EIA2017 (Statistics II)
Di akhir kursus ini, pelajar dapat:
At the end of the course, students are able to:
1.
1. Explain the econometric concepts based on
linear regression;
2. Apply regression analysis and related techniques
for quantifying economic relationships;
Kod Kursus*
Course Code*
Hasil Pembelajaran Kursus*
Course Learning Outcomes*
UM-PT01-MQF-BR005-S01
2.
Menjelaskan konsep ekonometrik yang berdasarkan
regresi linear;
Mengaplikasikan analisis regresi dan teknik yang
berkaitan untuk mengukur perhubungan ekonomi;
PRO FORMA KURSUS
COURSE PRO FORMA
Versi Bahasa Malaysia
Malay Version
3.
Melapor keputusan penganggaran dan pengujian
hipotesis; dan
Menjalankan ujian diagnostik untuk andaian model
regresi linear klasik.
3. Report the results of estimation and hypothesis
testing; and
4. Perform diagnostic tests of the assumptions of
classical linear regression model.
Kursus ini memperkenalkan konsep dan penggunaan
kaedah ekonometrik asas untuk menguatkan pemahaman
intuitif mengenai analisis regresi bagi penganggaran,
ramalan dan inferensi. Tajuk meliputi regresi mudah,
penganggaran parameter, selang keyakinan, ujian
hipotesis, kesesuian model dan diagnostik regresi
berganda
(termasuk
pembolehubah
dumi
dan
pemilihan
pembolehubah
bergantung
kuantitatif);
pembolehubah tak bersandar dan pemilihan model; bentuk
fungsian; dan masalah andaian klasikal.
This course introduces the concepts and use of basic
econometrics technique to enforce intuitive
understanding about regression analysis for
estimation, prediction and inference. Topics covered
are simple regression, parameter estimation,
confidence intervals, hypothesis testing, model fit and
diagnostics; multiple regression (including dummy
variables and quantitative dependent variable),
independent variables selection and model selection;
functional forms; and classical assumption problems.
Penilaian Berterusan: 50%
Peperiksaan Akhir: 50%
Continuous Assessment: 50%
Final Examination: 50%
Markah penilaian berterusan (Ujian pertengahan, tugasan
berkumpulan dan tugasan individu) akan diumumkan
sebelum peperiksaan akhir. Gred akan diberikan untuk
peperiksaan akhir.
Marks for Continuous Assessment (mid-term exam,
group assignment and individual assignment) will be
given before the final exam. Grades will be given for
the final examination.
Sila rujuk Kaedah-Kaedah dan Peraturan-Peraturan
Universiti Malaya (Ijazah Sarjana Muda) 2019.
Refer to University of Malaya (Bachelor’s Degree)
Rules and Regulations 2019.
4.
Sinopsis Kandungan Kursus
Synopsis of Course Contents
Pemberatan Penilaian*
Assessment Weightage*
Kaedah Maklum Balas Tentang Prestasi
Methodologies for Feedback on Performance
Kriteria Dalam Penilaian Sumatif
Criteria in Summative Assessment
UM-PT01-MQF-BR005-S01
Versi Bahasa Inggeris
English Version