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CCB303 - Assessment
Creation date：2024-06-05 17:37:51
Belonging category：计算机computer science
Tag CCB303
Assessment

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CCB303 - Assessment 

Assessment 3 – Report
Task overview
Assessment Name Report
Task Description In groups, you are required to produce a professionally presented and
comprehensive project report that documents the different steps you
have taken in this research, and details the most significant findings (see
below for more instructions on how to organise the report).
Due Date Refer to the Canvas site.
Length 2000 words (+/- 10%).
Weighting 40%
Individual or Group Group (a maximum 4 people per group).
Learning Outcomes
Measured
1. Apply knowledge of digital media and communication theory and
methods to understand and address real-world problems;
2. Apply an understanding of effective professional, ethical, and
socially-responsible communication conduct and practice;
3. Apply existing disciplinary knowledge and professional skills to
produce a real-world project or a series of projects;
4. Work effectively in a collaborative environment, providing support
and advice to fellow team members.
Task Instructions
Task Fundamentals
1. Carefully read the Criterion Reference Assessment (CRA) sheet featured on the
last two pages of this document.
CCB303 - Assessment 3 Page 2 of 5
2. Use the following questions to help you build your project report:
a. What is the current state of your chosen subject matter/topic?
b. What are your initial datasets?
c. What is your research question/s?
d. What methods will you use to study your topic (data collection and
analysis)?
e. What are your main findings?
f. What further research could be done in this area?
3. Support your arguments using academic literature, and other relevant sources of
information.
You will be organised into groups in Week 8 of the semester. Refer to Canvas for
more information on how to join a group.
Presentation
Requirements
A Project Report template can be found on Canvas.
Resources for Task
Completion
• CCB303 unit materials.(available on the Canvas site).
• Independent research.
• QUT Cite|Write APA guide.
Submission Information
Submission
Requirements
This report needs to be an Adobe PDF or Microsoft Word document. Don’t forget to
include your names, student numbers, tutorial time and day, and the name of your
tutor on the cover page.
Please note: On submission, you are declaring that, unless otherwise acknowledged,
this submission is wholly yours and/or the group's work and it has not been used and
already submitted. I/We understand that this work may be submitted for plagiarism
check and consent to this taking place.
Moderation All staff who are assessing your work meet to discuss and compare their judgements
before marks or grades are finalised. Refer to MOPP C/5.1.7.
CCB303 - Assessment 3 Page 3 of 5
Academic Integrity
As a student of the QUT academic community, you are asked to uphold the principles of academic integrity during
your course of study. QUT sets expectations and responsibilities of students specifically stating that students “adopt
an ethical approach to academic work and assessment in accordance with this policy and the Student Code of
Conduct (E/2.1)". Students need to be aware that academic integrity refers to text and non-text sources, i.e.
"copying or adapting non-text based material created by others, such as diagrams, designs, musical score, audio-
visual materials, art work, plans, code or photographs without appropriate acknowledgement" (MOPP C/5.3.6
Academic Integrity). It also includes self-plagiarism, this “involves the re-use by a student of their own work without
appropriate acknowledgement of the source. Students should seek express consent from the unit coordinator prior
to re-using their own work in an assessment submission" (MOPP C/5.3.6 Academic Integrity).
Students are expected to demonstrate their own understanding and thinking using ideas provided by ‘others’ to
support and inform their work, always acknowledging the source. While we encourage peer learning, it is not
appropriate to share assignments with other students unless your assessment piece has been stated as being a
group assignment. If you do share your assignment with another student, and they copy all or part of your
assignment for their submission, this is considered collusion and you may be reported for academic misconduct.
CCB202 - Assessment 3 Page 4 of 5
CCB303 | Digital Media Project | Report | Assessment 3 | Marking Rubric
The purpose of this qualitative rubric is purely for your feedback. The marker will decide on the grade/mark to put on the assessment.
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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