Dear all,
You should have received your final marks this morning. Hope all you have reasonably good marks. This should be the last notice from COMP9312. We will archive the forum later. Thanks for our efforts in this term especially for the students who actively share your valuable ideas with others on the forum.
For students who have granted supp exams, you will receive my email at least one day before the supp exam date.
All the best,
Dong
Please find the following final exam paper.
https://cgi.cse.unsw.edu.au/~cs9312/23T2/exam2367/
Submit your answer pdf on Moodle by 5pm.
Ask for clarifying any questions on the EdForum.
The exam will be arranged in 2-5pm Tuesday 22 Aug 2023 . The exam paper will be released in 13:40--13:50 via webcms notice, and you will receive the email as usual. The structure will be the same as the sample exam paper with 8 questions. You are required to write your answers in a pdf file and submit it via Moodle. To ask questions in exam, please create a private post on the EdForum. The webcms may be blocked because a large number of access at the same time. I recommend you to download all materials and keep them offline before the exam. We will send any update notice via the EdForum if webcms notice (broadcast email) does not work. So please keep watching both the email inbox and the EdForum during the exam.
Marking and Difficulty. The exam difficulty will be revealed by the average marks. If the average marks are lower than 65/100, we will scale it up to at least 65 and also add the 1 point bonus. We never scale down marks. We would not provide marking details or comments for the final exam. You will directly receive your final marks from the exam unit on around 31 Aug 2023.
Advice for the exam:
Good luck~
We have released ass2 marks on Moodle. If you have any marking questions, please at least send an email to your marking tutor before 9pm 20th Aug
We have released project marks on Moodle. If you have any marking questions, please at least send an email to your marking tutor before 9pm 14th Aug . You can find the email of your marking tutor in marking comments. For special consideration students, please double check whether your penalty is waived correctly according to the extension offered by the SC team.
p.s., the response rate of MyExperience Survey is over 60%. The bonus point will be applied. Thanks for your support.
Consultation. We will arrange a consultation at the CSE building (K17) 203 and 204 in 12:00-14:00 10 Aug (Thursday). Welcome~
Survey.
The response rate of MyExperience survey is still low now (23%), and the school is unhappy with that. Please do the course evaluation to make them happier. For a sweetner, we will give
everyone
a 1 mark bonus on the Exam if the response rate hits 50% before 10th Aug.
The final exam will be arranged in 2--5pm Tuesday 22 Aug . It is an online exam. Please see the review slides for details. Just confirm that all content of Topic 5 , Topic 8 , and Topic 9 would not be in the final exam. For your reference, an exam sample has been provided on webcms . For privacy issue, we would not publish answers for sample questions and project questions. You can ask your tutors the ideas to solve them.
Marking work for the project is ongoing. We expect to have results in week 12.
The response rate of MyExperience is quite low (15%) now. The survey team will be crying for that. Please help to do the survey.
For the interests of PhD positions , please attach your CV and transcript in email.
If you have any question when preparing the final exam, do not hesitate to contact us~
We will arrange a guest lecture on Monday next week. The guest is a research fellow Dr. Hanchen Wang from UTS whose research interest includes machine learning for database, graph neural networks, and subgraph matching. The title of his talk is "Interesting Applications of Graph Neural Networks". Welcome if you are interested in doing research about graph neural network. All content of the guest lecture would not appear in the final exam . Below is the abstract of his talk.
Abstract. With the development of graph neural networks, there are a great number of research works proposed for the application of the GNNs. In this talk, we are going to discuss how graph neural work in different scenarios. There is some practical consideration when we design the algorithm to apply the graph neural networks. We will also see some practical examples of how graph neural networks help to improve the performance of tasks in various areas such as biochemical, database and e-commerce.
We have released the assignment 2 . The deadline is 9pm Friday 4 August. Unlike the project for solving open problems, the ass2 is closely related to lecture notes and is much easier. Let us know if you have any question about the ass2. You are also always welcome to book a consultation by email.
MyExperience survey is now open. Please help to fill the survey at your convenience. Thanks.
Our tutor has written the sample code for Ass1 Q4 and Q5. You can find it on the EdForum. Feel free to join the discussion.
I have updated the lecture slides pdf to fix several typos. The code for triangle counting is also uploaded.
We have released the results of Assignment 1. For any marking issues, please send an email to your marking tutor which is shown in your Assignment 1 comment on Moodle. I will quickly cover some common issues raised by our tutors in Ass 1 marking in today's lecture.
We have updated Q2.ipynb by removing duplicate edges in the testing dataset. You can assume there is no duplicate edge when doing the project.
Welcome to week 5.
The Project has been released. The deadline is 9pm Friday Week 8 . Our tutors will introduce how to do the project in tutorials, and do not hesitate to ask any questions. Please let us know if there is any mistakes or typos. We may update the specification to fix them in the next two or three days.
Hope you are enjoying the long weekend.
We have released the assignment 1 for COMP9312_23T2. You should submit your solution on Moodle by 9pm Friday 23 June (Friday Week 4). We may fix typos or add more details for unclear questions in the next two days. An introduction for each assignment question will be covered in the Tuesday's lecture and following tutorials. Let us know if you find any mistake or you have any question.
https://webcms3.cse.unsw.edu.au/COMP9312/23T2/resources/87649
This is a reminder that there is no lecture on Monday Week 3 due to the public holiday.
There is a mistake in the DFS iterative implementation of the uploaded Python code and the slides for Topic 1.1. I have fixed them and replaced the files with the same link.
Just a reminder again.
I have updated the slides for the topic 0 to fix several typos. You can find it with the same link on webcms.
https://webcms3.cse.unsw.edu.au/COMP9312/23T2/resources/87514
The recording is also available on Moodle. I found some of my breath noise is also recorded. Will try to move the mic away in the next lecture.
Hi
Welcome to COMP9312_23T2 . Our first lecture will be in 4pm-6pm next Monday . We will introduce the course in the first lecture. The slides will be uploaded to webcms on Monday before the lecture. Please read the course outline carefully if you have not.
The self-registration link for the course forum is below. Note that only unsw.edu.au emails are allowed. On Webcms, you can find the registration link under the FAQ tab and the entry link on the menu. Feel free to ask questions on the forum.
Registration link (only need once to register yourself)
Looking forward to talking with you on Monday~
LiC
Dong Wen