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Marketing Management MKTG860
Creation date：2024-04-24 17:57:24
Belonging category：工商管理Business Management
Tag MKTG860
Marketing Management

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Marketing

Management

MKTG860
Disclaimer: Although every effort is made to ensure accuracy, the information in this document is
subject to alteration. The information in this document was accurate at the time of publication,
3

Welcome to Marketing Management
You are expected to read the contents of this study guide, also available on Blackboard under “All My
Courses”.
This is a level 8 Course, worth 15 points. This Course runs for 10 weeks and has one lecture session and one
workshop session per week.
This course uses Flexible Delivery Mode.

Success in your course
Academic study is intellectually challenging. To come to grips with the content in your course, what it means,
and how it is applied, you need to do the following:

• engage with all lectures and hear key concepts and theories explained by your lecturers, who are
experts on their subjects
• participate in discussions and/or workshops to make sense of what you’ve learned and to apply it to
authentic scenarios
• read all material given by your lecturers, make notes on it and make sure that you have grasped the
information
• have a study plan – aim to undertake three hours study for every one hour of lectures. Draw up a
weekly timetable to help with scheduling your study time
• complete and submit all assessments

All your lecturers want you to do well and to be well. Make sure you use the many student support services on
offer at AUT, if you feel that you are struggling with your studies.

• For support within the Faculty, see information on your Blackboard programme organisation.
• For AUT-wide academic and wellbeing support, visit the Student Digital Workspace, under the Learning
Support and Student Life tabs.

Course Information
Trimester 3 starts on the week beginning October . Please check Blackboard for details of your
allocated online workshop stream and time.

Pre-requisite/Co-requisite/Restriction requirements
There are no pre-requisites/co-requisites/restrictions for this course.
4


Course Aim
A critical review of the key principles of marketing management including core theories, frameworks and tools
for formulating marketing strategy.

Learning Outcomes
1. Critically reflect on and discuss the concepts, tools, frameworks, theories, and techniques that can be
employed in marketing management
2. Devise, evaluate and recommend marketing tactics and strategies appropriate to current situations
3. Consider, argue and defend core theories in marketing

Content
• Introduction to Marketing Concepts; Strategies & Tactics
• The Marketing Environment
• Segmentation, Targeting & Positioning & Strategic Matrices
• The Product Concept
• The Price Concept
• The Place Concept
• The Promotion Concept
• Industrial Marketing; Business-to-Business Marketing & Relationship Marketing
• Leveraging the Business and Creating New Business
• Managing Marketing Relationships; Internal Marketing
Blackboard Programme Organisation
Details of all courses, major requirements, full course descriptors, assessment forms, timetables and all other
information relevant to current students can be found on Blackboard (https://blackboard.aut.ac.nz) under:
“My Organisations” Business MBA & Professional Masters Programme Information.

Required Texts and Recommended Reading
You will be supplied with the course text book for this course (in eText format), and will be given a code by
your course coordinator, with instructions on how to download and access this eText:

Elliott, Rundle-Thiele, Waller, Bentrott, Hatton-Jones, Jeans: Marketing (AU), 5th Edition, Wiley
Publishing

Other additional readings may feature within the Journal Readings Course Materials Folders on
Blackboard. You will also receive an electronic code for the SmartSims Music2Go marketing decision-
making simulation from your course coordinator with further instructions detailed on page 6 of the
study guide.


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Weekly Programme
Week Topic Textbook Readings
1 Course Introduction and Introduction to Marketing Chapter 1
2 The Marketing Environment Chapter 2
3 Segmentation, Targeting and Positioning Chapter 6
4 The Product Concept Chapter 7
5 The Price Concept Chapter 8
6 The Place Concept Chapter 10
7 The Promotion Concept Chapter 9
8 Business Buying Behaviour Chapter 5
9 Leveraging the Business and Creating New Business Chapter 13
10 Managing Marketing Relationships Chapter 15
Case category
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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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