ODL@USM: All courses

ABW508D MAKMAL ANALITIK (ANALYTICS LAB)

ABW508D - MAKMAL ANALITIK
(ANALYTICS LAB)
[ 6 Unit ]

* Sumber data : SMUP

📖 Sinopsis Kursus / Course Synopsis ▼

Kursus ini direka untuk pelajar menggunakan kemahiran analitik dalam masalah perniagaan dalam persekitaran perniagaan global dan mencadangkan penyelesaian perniagaan yang bersesuaian. Pelajar boleh memilih satu daripada pilihan berikut; pertama, menggunakan dataset sebenar dari industri atau dataset simulasi dari laman web dan kedua, bekerjasama dengan pasukan analisis dalam organisasi untuk mendapatkan projek analitik kecil dan menyelesaikan kes-kes kehidupan sebenar.

This course is designed for students to apply analytical skills in analysing the business problems and recommend feasible business solution. Students can choose one of the options; first, use the real dataset from industry or simulated dataset from the website and second, collaborate with analytics teams in organizations to obtain small analytics projects and solve the real-life cases.

* Sumber data : SPBPK

📋 Hasil Pembelajaran Kursus / Course Learning Outcomes (HPK / CLO) ▼

HPK / CLO	Penerangan HPK / CLO Description	Kaedah Pengajaran / Teaching Method	Pemetaan / Mapping: PLO USM	Pemetaan / Mapping: LT
CLO1	Demonstrate the ability to apply analytical skills in solving business problems	F2F Lain	PLO3	P2
CLO2	Present analytical laboratory projects effectively to evaluators	Kuliah	PLO5	A3
CLO3	Prepare project report based on the findings in making decision	F2F Lain	PLO7	A4
CLO4	Organize a smooth flow for conducting the analytics project	F2F Lain	PLO8	A4

* Sumber data : SPBPK

📊 Penilaian / Assessment ▼

Komponen Penilaian / Assessment Component	Peratusan / Percentage
Kerja Kursus / Course Work	100%
Peperiksaan Akhir (PA) / Exam Work	0%

* Sumber data : SMUP

Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH

Skill Level: Beginner

ABW507D KAEDAH PENYELIDIKAN (RESEARCH METHOD)

ABW507D - KAEDAH PENYELIDIKAN
(RESEARCH METHOD)
[ 4 Unit ]

* Sumber data : SMUP

📖 Sinopsis Kursus / Course Synopsis ▼

Kursus ini memberi pelajar konsep asas dan proses menjalankan penyelidikan termasuk pelbagai kaedah dan reka bentuk penyelidikan. Pelajar akan memperoleh pengetahuan dan kemahiran untuk melakukan penyelidikan asli dengan amalan penyelidikan etika yang baik.

This course provides students with basic concepts and process of conducting a research including various research methods and designs. Students will acquire the knowledge and skillsets to undertake an original research with good ethical research practices.

* Sumber data : SPBPK

📋 Hasil Pembelajaran Kursus / Course Learning Outcomes (HPK / CLO) ▼

HPK / CLO	Penerangan HPK / CLO Description	Kaedah Pengajaran / Teaching Method	Pemetaan / Mapping: PLO USM	Pemetaan / Mapping: LT
CLO1	DEVELOP the idea to support the selected research method in writing the research proposal creatively.	Kuliah dan lain F2F	PLO3	C6
CLO2	DEFEND the discussion clearly and proffesionaly support the important components In the research proposal which are related to management	Kuliah dan lain F2F	PLO4	A4
CLO3	IDENTIFY the suitable research design to carry out the proposed research while keeping ethics in place.	Kuliah & Tutorial & Perbincangan	PLO6	A4
CLO4	DISPLAY the leadership skill in explaining the justification of selected research method	Kuliah & Tutorial & Perbincangan	PLO9	A4

* Sumber data : SPBPK

📊 Penilaian / Assessment ▼

Komponen Penilaian / Assessment Component	Peratusan / Percentage
Kerja Kursus / Course Work	100%
Peperiksaan Akhir (PA) / Exam Work	0%

* Sumber data : SMUP

Lecturer: PROFESOR RAMAYAH A/L THURASAMY

Skill Level: Beginner

ABW505D PENGATURCARAAN DATA DAN ANALITIK BERDAYA RAMALAN UNTUK PERNIAGAAN (DATA PROGRAMMING AND PREDICTIVE ANALYTICS FOR BUSINESS)

ABW505D - PENGATURCARAAN DATA DAN ANALITIK BERDAYA RAMALAN UNTUK PERNIAGAAN
(DATA PROGRAMMING AND PREDICTIVE ANALYTICS FOR BUSINESS)
[ 4 Unit ]

* Sumber data : SMUP

📖 Sinopsis Kursus / Course Synopsis ▼

Kursus ini bertujuan untuk menyediakan pelajar dengan konsep pengaturcaraan umum serta pengetahuan praktikal dalam Python atau R melalui sesi hands-on untuk aplikasi perniagaan dan pengurusan. Ia juga melengkapkan pelajar dengan kemahiran untuk mereka bentuk dan menulis pengaturcaraan, serta menggunakan pakej Python atau R sedia ada, untuk membuat keputusan dalam menyelesaikan masalah perniagaan dan pengurusan.

* Sumber data : SPBPK

📋 Hasil Pembelajaran Kursus / Course Learning Outcomes (HPK / CLO) ▼

HPK / CLO	Penerangan HPK / CLO Description	Kaedah Pengajaran / Teaching Method	Pemetaan / Mapping: PLO USM	Pemetaan / Mapping: LT
CLO1	Build Python programming in analysing business and management data for business and management decision-making.	Kuliah & Tutorial & Perbincangan	PLO3	P5
CLO2	Differentiate the various features of datasets and sources for predictive analytical models for business applications.	Kuliah & Tutorial & Perbincangan	PLO9	A3
CLO3	Prepare predictive analytical model and adapt insights for the business problems.	Kuliah & Tutorial & Perbincangan	PLO7	A4
CLO4	Demonstrate understanding in the concepts and logic of structured computer programming.	Kuliah & Tutorial & Perbincangan	PLO2	C3

* Sumber data : SPBPK

📊 Penilaian / Assessment ▼

Komponen Penilaian / Assessment Component	Peratusan / Percentage
Kerja Kursus / Course Work	70%
Peperiksaan Akhir (PA) / Exam Work	30%

* Sumber data : SMUP

Lecturer: PROFESOR MADYA TS. DR. KHAW KHAI WAH

Skill Level: Beginner

ABW501D KEUNGGULAN ANALITIK (ANALYTICS EDGE)

Lecturer: PROFESOR MADYA DR. TEH SIN YIN

Skill Level: Beginner

ABO503D TINJAUAN KOLABORATIF (COLLABORATIVE FORESIGHT)

ABO503D - TINJAUAN KOLABORATIF
(COLLABORATIVE FORESIGHT)
[ 4 Unit ]

* Sumber data : SMUP

📖 Sinopsis Kursus / Course Synopsis ▼

Tiada sinopsis kursus direkodkan.

No course synopsis available.

* Sumber data : SPBPK

📋 Hasil Pembelajaran Kursus / Course Learning Outcomes (HPK / CLO) ▼

HPK / CLO	Penerangan HPK / CLO Description	Kaedah Pengajaran / Teaching Method	Pemetaan / Mapping: PLO USM	Pemetaan / Mapping: LT
Tiada hasil pembelajaran kursus (HPK/CLO) direkodkan.

* Sumber data : SPBPK

📊 Penilaian / Assessment ▼

Komponen Penilaian / Assessment Component	Peratusan / Percentage
Kerja Kursus / Course Work	100%
Peperiksaan Akhir (PA) / Exam Work	0%

* Sumber data : SMUP

Lecturer: PROFESOR DR. HASLIZA BINTI ABDUL HALIM

Skill Level: Beginner

ABM503D ANALITIK LAMAN WEB DAN MEDIA SOSIAL (WEB AND SOCIAL MEDIA ANALYTICS)

THE DIGITAL TECHNOLOGIES OF WEB AND SOCIAL MEDIA APPLICATIONS HAVE FUNDAMENTALLY RESHAPED MARKETING THEORY AND PRACTICE OVER THE LAST DECADE AND HAVE LED TO A DRASTIC SHIFT IN THE QUALITY AND QUANTITY OF INFORMATION WE ARE ABLE TO CAPTURE, STORE AND ANALYSE. WITH THIS PROLIFERATION OF DATA HAS COME AN INCREASING NEED FOR MANY BUSINESSES TO BETTER UNDERSTAND AND REACT TO VARIOUS CUSTOMER CHARACTERISTICS. THIS COURSE IS DESIGNED TO PROVIDE THE SKILLS AND TOOLS NEEDED FOR STUDENTS TO RECOGNIZE THE ROLE OF WEB AND SOCIAL MEDIA ANALYTICS WITHIN THE DIGITAL MARKETING LANDSCAPE.

Lecturer: PROFESOR MADYA TS. DR. NOR HASLIZA BINTI MD SAAD

Skill Level: Beginner

ABM502D ANALITIK PEMASARAN (MARKETING ANALYTICS)

THIS COURSE WILL INTRODUCE STUDENTS TO THE TOOLS AND TECHNIQUES BEHIND A SYSTEMATIC AND ANALYTICAL APPROACH TO MARKETING DECISION-MAKING. STUDENTS WILL BE EXPOSED TO THE ANALYTIC CHALLENGES FACED IN MARKETING AND INTRODUCED TO FOUR FUNDAMENTAL MARKETING STRATEGY PRINCIPLES THAT CAN HELP ADDRESS THE CHALLENGES. STUDENTS WILL DEVELOP ANALYTIC COMPETENCIES PERTAINING TO THE FOUR PRINCIPLES BY LEARNING HOW TO MEASURE CUSTOMER PREFERENCES, ESTABLISH DIFFERENT WAYS FOR MARKET SEGMENTATION, IDENTIFY POTENTIAL OR ATTRACTIVE CUSTOMERS TO TARGET, DETERMINE THE BEST POSITIONING FOR A BRAND AND DEVELOPING NEW PRODUCTS THAT ADD VALUE THROUGH TECHNIQUES LIKE CONJOINT ANALYSIS, CLUSTER ANALYSIS, POSITIONING MAPS, LOGISTIC REGRESSION, RESPONSE AND CHOICE MODELS. DATA ANALYSIS WILL BE CARRIED OUT VIA MARKETING ENGINEERING (MEXL) ANALYTIC TOOL, WHICH IS AN ADD-ON TO EXCEL.

Lecturer: DR. JASMINE YEAP AI LEEN

Skill Level: Beginner

ABF502D ANALITIK PERAKAUNAN DAN KEWANGAN (ACCOUNTING AND FINANCE ANALYTICS)

THE FOURTH INDUSTRIAL REVOLUTION REQUIRES THE INTEGRATION OF INTERDISCIPLINARY KNOWLEDGE. THIS COURSE FULFILS THE NEEDS OF BUSINESSES TO ANALYSE READY-DATA FROM ACCOUNTING AND FINANCE. A FUTURE COMPANY NEEDS TO GENERATE ESSENTIAL INFORMATION FROM ACCOUNTING AND FINANCIAL DATA AND LINKED UP THIS INFORMATION WITH THE COMPANYS EXTERNAL INFORMATION LIKE THOSE FROM SOCIAL MEDIA, DEMOGRAPHIC AND MACRO-ECONOMY. FOR THIS PURPOSE, BESIDES SOLID KNOWLEDGE IN ACCOUNTING AND FINANCE, PRACTICAL KNOWLEDGE TO HANDLE DATA WITH SOPHISTICATED TOOLS AND SOFTWARE IS ALSO NEEDED TO ENSURE THAT STUDENTS ARE ABLE TO UNDERSTAND THE RELATIONSHIPS IN THE UNPRECEDENTED AMOUNT OF DATA FLOWING INTO THE ORGANIZATIONS.