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MKTG2113 Marketing Insight
Creation date：2024-05-02 09:16:21
Belonging category：市场营销Marketing
Marketing Insight

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MKTG2113

Marketing Insight
Week1: Introduction

– Secondary data from real word (e.g., Facebook, Twitter, Online
review, and public Big data)
– Surveys (personality traits and scale development)
– Observation and Field Study (e.g., food trials in a local
business or real purchase/donation in a public setting)
– Lab Experiments (within-subjects, between subjects, and time
series experiments)
Multiple Methodologies
Course Introductions
Learning Outcomes
• Employ the marketing research process to help organisations make
informed business decisions
• Evaluate pieces of scientific research, recognise the method/s used
and review the conclusions drawn
• Analyse and synthesise data gathered to form meaningful insights
Lecture
Live sessions (Wednesday 10 am-12 pm)
https://uni-sydney.zoom.us/j/89753738977
– Recorded videos will be uploaded under "Modules" on the Canvas.
Recommended Text:
Allen, P., Bennett, K. and Heritage, B. (2019) SPSS Statistics: A Practical
Guide, 4th Edition, Cengage Learning.
[ISBN 9780170421140]
Tutorial
The tutorials are designed to support the lecture content and provide guidance to the planning,
execution, discussion, analysis and reporting of the group assessment components.
Tutorial activity number, date/time, location, and tutor’s name will be posted on Canvas.
Students should attend the officially enrolled tutorial session on the timetable, as there will be
planned group activities within the tutorial session. (Finalize timetable in Week2).
• Tutorial (on-campus): Check your official timetable and attend face-to-face tutorials on campus.
• Tutorial (remote): Check your official timetable and attend the live sessions via Zoom on Canvas.
1) Go to "Zoom" section on the left side bar in Canvas.
2) You should see the scheduled tutorials. Make it sure your enrolled activity number and date/time/tutor’s name.
3) Click to join your tutorial at the scheduled time.
4) Weekly tutorial material is under "Modules" on the left side bar.
 Since we have all tutorial sessions on campus overcrowded, we opened new sessions at 19 pm - 20 pm on
WED and THUR (CC mode). As the ideal student number in each tutorial session is less than 30, please
consider moving to these newly opened tuts, if your tutorial is overcrowded (beyond 30). It will be much better for
all of us to work in a less crowded class.
Grading
• Exams (closed book): multiple choices, short answers
− Mid-semester (Week 7): 20% (1 hour)
− Final: 30% (2 hours)
• Term Project (group work):
− Research Report (30%): You will complete a written final research report. In this report, you will discuss
your research plan, provide evidence of your data analysis, and report your data findings/insights. planning,
executing market research, & analyzing data
− Presentation (10%): You will also showcase your research insights. All members of the group are required
to contribute to the presentation
• Class Participation (8%): Participation marks awarded will be based on one’s preparation and contributions during
tutorial activities
• Business Research Component (BRC) Assessment (2%):
− Option 1- participate in a research study.
− Option 2- research paper review.
 For detailed information, please refer to the Assignments tab on your course CANVAS site.
Install SPSS
Install Citrix Workspace Application (available on Windows 7 and 10)
Step1: Click on the links based on your machine to install the Citrix Workspace App Windows or Mac.
If Connecting from CHINA, use the new VPN service https://secure-client.sydney.edu.au to enhance your connection speed.
If Citrix Workspace asks for an email address, close this dialogue. An email address is not required at this step.
Step2: Login to Citrix Workspace via browser: Go to https://uniconnect.cloud.com/ and login in the format (as
shown in the picture) "shared\unikey" and use your UniKey password.
Step3: Multi-factor authentication (MFA) is being added to the UniConnect web-based portal by Wednesday 10 November.
(Read more on setting up your devices for MFA on our Services Portal at Set up MFA - Okta primary authenticator.)
Contacting the teaching team and Q&A
As the course is a mixed-mode (remote learning & on-campus), it's very important to communicate
with each other effectively. Throughout the semester, we know some of you may have questions. We
have summarized Frequent Q&As posted on Canvas (FAQ). The FAQ section will be updated
periodically.
1. When you have any questions, please firstly check FAQ before contacting the teaching team.
2. If you could not find an answer from FAQ, feel free to discuss with your tutors (via email or
consultation in tutorial session). We encourage a group of students (who have a similar
question) to come together to make our communication effective.
3. If you could not find an answer from your tutors or in your group members, please use the
"Discussions" section on Canvas, where students in other groups or streams can discuss a topic
with each other. As students generally have similar questions and your peers may already have
an answer. Any student can respond to the others’ questions in the discussion section. The
teaching team will also check the "Discussions" section periodically and resolve the queries if
necessary.
4. Certainly, if none of the above suits, feel free to contact the course coordinator via email or
attend a weekly consultation via Zoom (Friday 4 pm). We will find the best way to answer your
questions.
FAQ (Please check FAQ firstly before asking the teaching team)
• I want to change my tutorial session, but I cannot do so on the system.
You can change to that tutorial session in which you have formed a group only when it's not full. If you want to change your stream but
cannot on the website for some reason, please contact Timetable Unit directly. Lecturers and tutors don't have access to it. There is a
form to apply for Assistance with Timetable changes in Special Circumstances. Students must first read what those Special
Circumstances are and what the Timetable Unit will or will not be able to do for them.
• Do I have to form a group within the tutorial session?
Yes, you need to form a group within the officially enrolled tutorial session on the timetable, as there will be planned group activities
within the tutorial session.
• I have already formed a group in a different tutorial session. I want to change to that tutorial session, but it says it's full.
You can change to that tutorial session in which you have formed a group only when it's not full. So, please form a group within the
officially enrolled tutorial session on the timetable.
• I'm outside Australia. Is all the assessment I can do outside Australia (e.g., participation, exams)?
Yes, all will be online and all the students including those outside Australia can complete them online.
• I'm enrolled in another subject which also requires me to complete the BRC (Business Research Component) study,
therefore, do I have to complete two separate studies to satisfy the requirements of both?
Yes, in this case, you need to complete two different studies.
• Does every single member in the group require to submit an assignment?
If it is a group project, only one copy per group. However, all group members should contribute to it. If it is an individual assignment,
every student should submit the assignment.
Project Group Formation
Finalize project groups (5 students) for the group assessment (research report and
presentation) and submit group establishment form by Week 3 Monday 11:59pm
on Canvas. Otherwise, you will be randomly allocated at week 3 tutorial.
We will finalize group formation in the Week 3 tutorial session
 Contacting other students
Students can contact each other by using Canvas’ messaging system – if they select Inbox in the
Global Navigation they can navigate to the Unit/Course and then navigate to all students, selected
students, etc., and message them that way. 
Please give a mark of 100 to the group member(s) who you believed made the greatest contribution to
the group (other than yourself). Please rate the contribution of each other member of your group on a
scale of 0 to 100, where 0 means they made no contribution and 50 means they made half the
contribution of the group’s leading contributor. You are not required to rate your own contribution.
Please provide explanations for ratings of 80 or less, and if appropriate, describe how you have
attempted to encourage the group member to improve their performance (number according to the
numbers next to the group members’ names above). These comments are reviewed if students appeal
their peer evaluations, so it is important that your explanations are factual, legible and professional.
You will submit peer evaluation form “individually” by the due date of research report. Your
mark can vary depending on your group members’ peer evaluation.

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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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