Dear Students,
Reminder: The final exam for COMP9444 is Today (16 August 2024).
Date: 16 August 2024
Day: Friday
Exam Start Time: 02:00 pm
Reading Time: 15 Minutes
Exam Duration: 2 hours (2:00 pm – 4:15 pm including reading time)
Must arrive: 20 minutes before the exam start time in your allocated room.
More details about the final exam have been posted in the following post.
https://edstem.org/au/courses/16392/discussion/213...
Good luck!
Kind regards,
Sonit
Dear Students,
Few students have asked questions regarding negative marking in the final exam. Yesterday, we had a meeting and decided that the final exam will have only 20% negative marking for Multiple Choice Questions (MCQs), irrespective of the number of choices. We believe this is much more lenient compared to 60% negative marking as given in the Sample Exam.
All the very best for the Final Exam!
Cheers,
COMP94444 Teaching Team
Dear Students,
The group project marks has been released and you can view them via the give system. The final project marks are scaled based on the peer assessment. There are many team members who showed concern about other members lower contribution and lack of participation in meetings, writing code, report writing, making slides, and overall working as a team member. We have gone through each of the submitted peer review form and scaled down the marks for students who made lower contribution as filled by other team members.
For example, let's say team got a total score of 35 out of 35 marks but a member made very little contribution, then the scaled marks for this particular member will be 0.6 x 35 = 21. This is just an example and not resonate with real example in the course.
If you have any questions, please send an email to cs9444@cse.unsw.edu.au and course admin fill follow it.
As we are quite busy with the final exam (on 16 August 2024), you can expect delays in our response and we might take action after the exam is over. So, please we patient as we respond to your queries. Thanks for your understanding.
Kind regards,
Sonit
Dear Students,
The final exam for COMP9444 2024 Term 2 is on 16 August 2024. The exam is on UNSW Kensington Campus (in-person) and invigilated. Please see details below.
Date: 16 August 2024
Day: Friday
Exam Start Time: 02:00 pm
Reading Time: 15 Minutes
Exam Duration: 2 hours (02:00 pm – 04:15 pm including reading time)
Must arrive: 20 minutes before the exam start time
Room: A separate email has been sent regarding allocated room . Please check your student email and make a note of the room .
1. Make sure that your laptops (BYOD) be fully charged before coming to the Exam as power supply may be limited in rooms that you are allocated in.
2. You can bring your own power cord or power cable to charge your laptop during the exam , if your laptop can’t last for more than 2.5 hours.
3. Your laptop must have Secure Exam Browser (SEB) installed prior to your exam day. The instructions are given at the following link. https://www.student.unsw.edu.au/exams/inspera/on-campus
4. Bring your current UNSW student identification card . Students without an ID card will be required to provide other official photo identification such as a driver's licence or passport at the time of the exam, electronic versions of identification are not permitted. Make sure they are not expired.
5. Bring pen and UNSW approved calculator as the final exam have numerical questions.
6. Rough sheets will be provided during the exam .
7. Reach to the final exam room 20 mins before the final exam start time. Make sure you have logged on to your laptop and you are ready to start, approximately 15 mins before the exam commences.
8. Join the uniwide WiFi network.
9. Please read the UNSW exam rules from the link below. https://www.student.unsw.edu.au/exam/rules
10. No additional resources are allowed as it is a closed book exam.
11. Make sure you attempt the Sample Exam before the final exam day so that you are familiar with the interface.
12. The teaching staff will be monitoring the final exam and if you have any questions related to the final exam, please let invigilator know and we will try our best to respond as soon as possible.
If you have any questions, please post on the Ed and teaching team will respond.
Kind regards,
COMP9444 Teaching Team
Dear Students,
The myExperience survey is closing today .
If you have not filled it yet, please fill it today.
Please log into https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.
Kind regards,
Sonit
Dear Students,
The myExperience survey is closing tomorrow and the participation is still very low (25%). We would appreciate if you can spend 2 mins of your time to fill the myExperience survey.
Please log into https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.
Kind regards,
Sonit
Here is an edited version of the Week 10 Guest Lecture video , with slides included. Please let us know if you have any trouble accessing it.
Dear Students,
Please find the word document for Peer Group Assessment Form.
You don't have to submit a peer group assessment form if you believe everyone contributed equally in your team or there are no concerns regarding someone's contribution in the project.
WebCMS > Project > Peer Assessment Form (You can also find find on the Ed announcement)
Once you fill it please email it to cs9444@cse.unsw.edu.au
The deadline for submitting a peer-review form is 09 August 2024 11:59 pm . Any submissions after 09 August will not be considered for scaling project marks given there is a tight timeline for releasing and uploading marks.
Kind regards,
Sonit
Dear Students,
We have finally finished the term and by today all teams will make their project submissions.
The myExperience survey participation is still very low (20% as of today). We would appreciate if you can spend 2 mins of your time to fill the myExperience survey.
Please log into https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.
Kind regards,
Sonit
Dear Students,
A gentle reminder that Group Project submissions are due today by midnight. Thanks to all the teams those who have already sent the zip file.
Please send zip file (having presentation, code, and report) to your mentor, cc class email and also cc to all members of the team.
Good luck!
Kind regards,
Sonit
Dear Students,
The participation rate for myExperience survey is pretty low (so far only 10%). We need at least 50% participation rate (higher is better) to make meaningful sense of the feedback.
Therefore, I request you to please log into https://myexperience.unsw.edu.au/ or to Moodle course page and fill in the survey.
Kind regards,
Sonit
Dear Students,
A gentle reminder that today we have a guest lecture by Jingling Gao.
See you there in the lecture theatre.
Kind regards,
Sonit
Dear Students,
It's my great pleasure to announce that we have a guest speaker for the last lecture of the term. I think it's really a great opportunity to get some industry insights on Generative AI and Multimodal application from our guest speaker and to finish the term off. I would like to see you all in the last lecture. Please find details below:
Title: Generative AI and Multimodal AI Applications
Abstract: In this guest lecture, we delve into the world of generative and multimodal AI applications. We will explore the mechanics of text-to-image generation models, including the functioning of diffusion models and their fine-tuning using customized datasets. We will discuss the construction of AI applications based on diffusion models and the stable diffusion model's specific tuning methods. The lecture covers the applications of large language models (LLMs) in text generation and will guide us through building a customized chatbot web application using vector databases (VectorDB) and the GPT-4 model. Last but not least, we will discuss future directions in AI, such as explainable AI, logical reasoning in multimodal tasks, and AI ethics, to inspire students' innovative thinking and ethical considerations.
Bio: Jingying is a research scientist specializing in multimodal and generative AI, with a focus on VQA, multimodal reasoning and explainable AI. She studied her PhD at the AI & Robotics Lab at UNSW. Her research contributions include papers published at NeurIPS, IJCNN, and other conferences. Additionally, she has served as a reviewer for NeurIPS, ECAI, and IJCAI, and co-organized a workshop at IJCNN. She is also a passionate research scientist working in the industry with over six years of active commercial and academic research experience, preceded by years in managerial and technical roles. She has led the development of various AI and Generative AI applications intended for robots aimed at service duties and in financial services.
Kind regards,
Sonit
Dear Students,
In Week 10, we have the following activities:
Kind regards,
Sonit
Dear Students,
I hope all of you are doing well and enjoying the course as we do!
As we approach Week 10, it’s time to reflect on your experiences. It would be great if you could spend ~2 mins of your time to fill myExperience survey for COMP9444 . Your valuable feedback is not only important to improve future iterations of this course but also important to showcase teaching abilities and to further improve as a teacher.
Given the importance of Artificial Intelligence, especially Deep Learning, we have tried my best to deliver foundational algorithms, providing you enough breadth and depth, as well as providing state-of-the-art techniques . We have also introduced lecture on “ vision and language learning ” so that you can learn applications of multimodal learning. Given the importance and relevance of generative technologies, we have introduced lecture on “ Generative Artificial Intelligence ” which I will deliver in Week 10. I believe that with good understanding of Convolutional Neural Networks, Recurrent Neural Networks, Language Models, Auto-encoders, Generative Adversarial Networks, Transformer Model, ChatGPT, Stable Diffusion, etc., you have got enough to start building applications using deep learning technologies.
Given there are around 700 students enrolled in COMP9444 this term, we are doing our best to respond to Ed forums in timely manner, resolving issues sent to emails, accommodating special considerations, equitable learning plans, and adapting your requests about some course logistics. We are thankful for your patience and understanding .
The myExperience survey is now open, and we would appreciate if you could fill the survey. You can find link to myExperience in Moodle or alternately
Please log into https://myexperience.unsw.edu.au/ or follow the link in your email to access the survey.
Cheers,
Sonit, Alan, Zhongsui and our amazing tutors
Dear Students,
The schedule of Week 10 group project presentations is now available.
Please find your team name in the file and check room and session time (room may be different from your actual project mentoring).
You can find this file (attached) and also on
WebCMS: WebCMS > Project > Project Presentations Schedule
I've already provided detailed instructions on how to wrap up your project work. Please follow them to have consistency, less confusion, and avoiding delays for the release of project marks. You can find these instructions on Ed and WebCMS.
https://edstem.org/au/courses/16392/discussion/2087977
Note: All teams must make live presentations and it is important that all members must be present during the presentation.
If you have any questions, please reach out to us by emailing cs9444@cse.unsw.edu.au
Kind regards,
Sonit
Dear Students,
The slides of Week 8 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 9.
You can also watch recordings of Week 9 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
Yesterday, we released hw1 marks. You can check your marks by following instructions given towards the end of the assignment.
Students who made late submissions may not have received their marks as we need to apply late penalty after incorporating Special Considerations and ELS adjustments.
If you think there is a calculation error or you have not received your hw1 marks, please send an email to cs9444@cse.unsw.edu.au and we will follow it. Please don't send emails regarding your hw1 marks to your tutors or mentors as we randomly allocated submissions to different tutors/mentors, so your tutor/mentor might not be the assessor of your assignment.
Kind regards,
Sonit
Dear Students,
In Week 9, we have the following activities:
Please know that myExperience is confidential and your identity is not included in reports. Results of the survey are not made available until your course results are released.
Regards,
Sonit
Dear Students,
The slides of Week 8 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 8.
You can also watch recordings of Week 8 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
As we are approaching towards the end of the term, it's important that teams must make substantial progress to deliver quality project on time (Week 10). Here are the submission guidelines for the group project.
1. The final project presentations will be in Week 10 in your respective mentoring sessions . Teams should come to their mentoring sessions as scheduled to present their project work. Course admin will also release timetable for your presentations so that we all are on the same page.
2. Each group/team will get maximum 15 minutes for the project presentation. Your presentation should be of max 12 minutes followed by 3 minutes of Q&A .
3. It is important that all members in the group should show up in the final presentation . Given there are both individual and group-based marks, students will lose marks if they don't show up in the presentation.
4. Two mentors will be marking your presentation based on the marking rubric and the final marks will be the average of the two markers .
5. Each team must make live presentation to the markers . All members of the group must be present during their project presentations and Q&A session.
6. Please find attached the project summary report template. Use the template to fill in details about the project. Also, find attached Presentation template . I also also put in WebCMS under Project.
WebCMS > Project > Presentation Template
7. We highly recommend that on the title slide, group should provide zID and name of each member in the order of their presentation . Also, if someone is presenting online, please turn on your camera so that mentors can recognize who is speaking. They would love to see your faces.
8. Each team must submit their project code (Jupyter Notebook) and project report summary (either in .docx or .pdf format) by 04 August 2024 (Sunday) 11:59 pm . You can zip the folder having project code and report summary and share it to your mentor’s email and cc all team members (to ensure transparency and consent) and cc cs9444@cse.unsw.edu.au . Please provide group name in the subject of the email . Given large file size, please share via Google Drive or share via Microsoft OneDrive, rather than emailing as an attachment .
9. Given this is a project work and the focus is that all members of the team work together to achieve a common goal, we don't recommend submitting individual notebooks by different students. You must showcase project work as a group activity rather than individual work .
10. Due to diversity of projects and requirements, it is not possible for markers to install and replicate your installation. Therefore, it is important that
you should submit Jupyter Notebook(s) with all cells executed so that they can check code as well as output in the notebook itself.
Below, I am providing email of mentors. Please check who is your mentor and share your zip file with them.
Hugh Wilson: h.wilson.1@student.unsw.edu.au
Stefano Mezza: s.mezza@unsw.edu.au
Zhongsui Guo: zhongsui.guo@student.unsw.edu.au
Austin Hoe: austin.hoe@student.unsw.edu.au
Ziping Chu: ziping.chu@student.unsw.edu.au
Xiangyu Zhang: xiangyu.zhang2@unsw.edu.au
Md Mamunur Rahman: md_mamunur.rahaman@unsw.edu.au
Maryam Hashemi: m.hashemi@unsw.edu.au
Renhao Huang: renhao.huang@unsw.edu.au
Ramya Kumar: ramya.kumar1@student.unsw.edu.au
Jingying Gao: jingying.gao@unsw.edu.au
Md Akizur Rahman: md_akizur.rahman@unsw.edu.au
Dipankar Srirag: d.srirag@student.unsw.edu.au
Raktim Kumar Mondal: r.mondol@unsw.edu.au
Feiyu Li: feiyu.li@student.unsw.edu.au
Jing Gong: jing.gong1@student.unsw.edu.au
Md Mahmudul Hasan: md_mahmudul.hasan@unsw.edu.au
Jiamin Chang: jiamin.chang@unsw.edu.au
Tahereh Hassan Zadeh Koohi: t.hassanzadehkoohi@unsw.edu.au
Note: It is important that teams must follow these guidelines strictly. If you will not follow them, chances are that your project marking will be delayed or get penalties.
If I have missed something and if there is any confusion around any points regarding project submission, please let us know either in comments to this announcement (preferred) or send an email to your mentors or cs9444@cse.unsw.edu.au . We will try to answer as quick as we can.
Kind regards,
Sonit
Dear Students,
In Week 8, we have the following activities:
Lectures (Tue 2pm-4pm; Wed 11am-1pm) covering topics on Reinforcement Learning, including TD-Learning, Q-Learning, Policy Learning and Deep Reinforcement Learning.
Group Project Mentoring Session : Please go to your respective mentoring sessions as per the timetable.
Assignment 1 (hw1) marking - Ongoing: We plan to finish marking by this week so that marks are released early next week.
Group Project Marking guidelines: I will be releasing group project marking guidelines separately (within this week). Please follow these guidelines to present your group projects in Week 10.
If you have any questions, feel free to post it on Ed.
Kind regards,
Sonit
Dear Students,
The slides of Week 7 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 7.
You can also watch recordings of Week 7 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
I hope you had a lovely flex week. It's great to see that almost every team turned up to their respective mentoring sessions and making great progress for the group project.
In Week 7, we have the following activities:
By now, teams have read relevant papers related to the chosen topic, downloaded relevant dataset as given in the project description, did some initial analysis to know more details about the dataset such as what annotations are given, how many classes, how many samples, data annotation format, etc.
This week, teams should focus on implementation baseline models. Try to identify some existing code (GitHub repositories) of baseline models or based on related work and try to replicate it to get good understanding of the entire pipeline. Also, focus on how you are going to evaluate methods, what are standard metrics to evaluate given task, etc. Try to discuss these results with your mentors and brain storm where model is doing good, where it is failing (misclassifying) and how such limitations can be mitigated. This will lay the foundation of your next week's task.
Kind regards,
Sonit
Dear Students,
A final reminder that assignment 1 (hw1) is due today before midnight. Please follow instructions given at the end of the assignment spec to submit your assignment files. Make sure you include all files kuzu.py check.py hw1.pdf while making submission.
Regards,
Sonit
Dear Students,
In Week 6, we have the following activities:
As always, if you have any questions, please post it on the Ed.
Kind regards,
Sonit
Dear Students,
The sample solution along with its video for Week 5 tutorial is available under WebCMS > Course Work > Tutorials > Week 5.
Kind regards,
Sonit
Dear Students,
Thanks for your patience while we were working on this. The group project mentoring timetable is now available on WebCMS.
WebCMS > Project > Group Project Mentoring Timetable
Each page has timetable for one mentoring session. You can find Room, Session Time, Mentor Name, Project ID, Project title, Group Name, and all members in your group. For each mentor and each session, we have 5 teams working on projects in the same area.
Please note that Mentoring Sessions starts in Week 6.
We have tried our best to come up with the best timetable based on your preferences. However, you can understand that satisfying each constraint is now feasible nor possible given large number of students, mentors, and availability of rooms.
I will make announcements on Weekly activities separately on Monday.
Happy Weekend!
Kind regards,
Sonit
Dear Students,
Today we have help session from 1 pm - 2 pm in Quad 1046. Please come to the consultation session if you need any help regarding the assignment.
I can see many posts on the Ed where you have variety of questions related to questions and even installing PyTorch. Please join this session as it is easy to seek help in-person rather than via posts and it limits how much we can explain in the post. Also, installing PyTorch issues and other program bugs can only be resolved when we see the entire error trace.
Cheers,
Sonit
Dear Students,
You can use VLAB and open the terminal and type the following command to submit your assignment using give system. Make sure you have all the files in the working directory.
You should submit by typing
give cs9444 hw1 kuzu.py check.py hw1.pdf
You can read more about the VLAB here https://taggi.cse.unsw.edu.au/Vlab/
Alternatively, you can use web-version of give to submit your assignment
https://cgi.cse.unsw.edu.au/~give/Student/give.php
After the submission you can check status of your submission via typing:
9444 classrun -check hw1
Cheers,
Sonit
Hi Everyone,
The slides of Week 5 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 5.
You can also watch recordings of Week 5 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
Since we have listed few projects on object detection and semantic segmentation in the "Projects List" and many teams are working on these problems for the group project, I thought of releasing the recordings of these topics on the Ed.
Please go through the recordings and it will answer questions such as how you can detect objects in an image, how many objects are there in an image, how can you separate certain class, etc.
Recordings are available on Ed (as these are from Computer Vision course I taught last term). You may find audio bit off occasionally as these lectures were give in a big lecture theatre (last term there were about 750 students enrolled in the course) and I was moving away from the lectern/podium.
Cheers,
Sonit
Dear Students,
So far we got 80 responses (i.e. 80 teams have filled in their time preferences). Thanks everyone those who have filled the form. Please ignore this message if you have already responded.
Those who have not filled the form, it is final reminder that please do it by today evening.
Please discuss with your team members about which time slots best suit to all members, and get one person from the team to fill in this form. Based on your preferences, we will try to come up with the best timetable.
Note: Only one member of the team needs to submit this form.
Fill in this Form
Please fill in this form by Monday, 24 June 2024 11:59 pm
Dear Students,
The sample solution of Week 4 tutorial is available under WebCMS > Course Work > Tutorials > Week 4.
Kind regards,
Sonit
Dear Students,
Since many students were asking for assignment 1 (hw1) report template, I have now released report template on WebCMS.
You can download report template from: WebCMS > Assignment 1 > hw1 report template
Please note you need to submit two Python files
kuzu.py
and
check.py
, as well as a written report
hw1.pdf
(in
pdf
format).
Cheers,
Sonit
Hi Everyone,
Thanks for forming teams on WebCMS and choosing projects. As we transition to Project Mentoring Sessions from Week 6, we need to collect your time preferences for these mentoring sessions.
Please discuss with your team members about which time slots best suit to all members, and get one person from the team to fill in this form. Based on your preferences, we will try to come up with the best timetable.
Note: Only one member of the team needs to submit this form.
Please fill in this form by Monday, 24 June 2024 11:59 pm
Dear Students,
There are many valuable resources online which can complement COMP9444 lectures and provide more deeper understanding through visuals. I have started adding these resources under the following.
WebCMS > Additional Resources
I plan to update this list as we move forward in the course.
Also, if you find some additional resources which you may find useful in understanding concepts, please post on Ed. I will update the list and these resources will be valuable for other students in the course as well as for next offerings of the course.
Cheers,
Sonit
Hi Everyone,
The slides of Week 4 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 4.
You can also watch recordings of Week 4 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
I've now released the project report template. You can find template on WebCMS.
WebCMS > Project > Project Report Template
You can also download it from Ed post
https://edstem.org/au/courses/16392/discussion/2071242
Cheers,
Sonit
Dear Students,
I hope you are doing well. It's good to see that 136 teams have already been formed on WebCMS. As a next step, you need to choose project from the "Projects List" and update it on the WebCMS. Here are the instructions.
1. First, go through different projects in the "Project List" under WebCMS > Project > Projects List and discuss with your team members to finalise an interesting project.
2. Please update the selected project on the WebCMS. You can simply edit the project description and write Project ID and its name (See screenshot below where one team did it).
Here you can see that Team "Need responsibility" has chosen project "ID 027; Fashion Item Classification using Deep Learning".
Please do the same so that we know what project your team is doing and then we can assign relevant mentors and come up with the mentoring timetable to start from Week 6.
Cheers,
Sonit
Dear Students,
The sample solution along with its video for Week 3 tutorial is available under WebCMS > Course Work > Tutorials > Week 3.
Kind regards,
Sonit
Dear Students,
We will be having consultation session on every Thursday from 1pm - 2pm in Quadrangle 1046. Please join the consultation if you have any course related questions or need help regarding assignment or group project.
Regards,
Sonit
Hi Everyone,
The slides of Week 3 Lectures and Demos are available under WebCMS > Course Work > Lectures > Week 3.
You can also watch recordings of Week 3 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
Assignment 1 has been released. You can access it via WebCMS > Assignment 1 > hw1 - Character and Hidden Unit Dynamics. The deadline is 02 July 2024.
Projects List and Project Marking criteria has been released. Please go through these documents and find an interesting project. Once you have identified the project from the given list, you can modify the group description on WebCMS providing Project ID. This will help us to match right mentors.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
In Week 3, we will be having the following activities:
Note: At the moment, more than 100 students are not part of any team. The deadline to form a team for group project is Week 3 (16 June 2024, Midnight). Please be part of the existing team (if there are less than 5 members, always check with existing members before you join the group). Otherwise, make a post on Ed and get 5 members and then create a new group on the WebCMS.
As always, if you have any questions, please post it on the Ed forum and we will try to respond within 24 hours.
Cheers,
Sonit
Dear Students,
The sample solution along with its video for Week 2 tutorial is available under WebCMS > Course Work > Tutorials > Week 2.
Kind regards,
Sonit
Hi Everyone,
The slides of Week 2 Lectures are available under WebCMS > Course Work > Lectures > Week 2.
You can also watch recordings of Week 2 lectures on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Dear Students,
In Week 2, we will be having the following activities:
Hi Everyone,
I hope your first week of tutorials was both exciting and enriching.
The sample solution along with its video for Week 1 tutorial is available under WebCMS > Course Work > Tutorials > Week 1.
If you have any questions, please post it on the Ed.
Cheers,
Sonit
Hi Everyone,
The video recording of Week 1 lectures (Tuesday and Wednesday) are now available on Echo360. You can access these recordings via Moodle through "Lecture Recordings" icon (See below).
You will find that there are two options, one for Tuesday lecture and another for Wednesday lecture. Ideally, they should be at the same place, but this is what AV technology support.
If you have any further questions about the content, please post them on Ed and the team will respond as soon as possible.
Cheers,
Sonit
Dear Students,
Many of you want to know who your tutor is. Although I would love that you can turn up to your first tutorial and say "hello" to your amazing tutor and get their name and learn what amazing research work they are doing. Anyway, here are their names.
Cheers,
Sonit
Hi Everyone,
The slides of Week 1 Lectures are available under WebCMS > Course Work > Lectures > Week 1.
Cheers,
Sonit
Dear Students,
In Week 1, we will be having the following activities:
You can check your timetable at https://timetable.unsw.edu.au/2024/COMP9444.html#S...
Lecture slides will be made available before the lecture on WebCMS.
WebCMS > COMP9444 > Course Work > Lectures > Week 1
Week 1 tutorial questions are released on WebCMS.
WebCMS > COMP9444 > Course Work > Tutorials > Week 1
It's good to see few questions posted on the Ed Forum. I highly encourage you to ask questions publicly (not private) so that everyone can get benefit from those questions and answers. For any reason, you don't want to reveal your name, there is an option to put question anonymously, still keeping question or post public.
See you in tomorrow's lecture
Regards,
Sonit
Dear Students,
As we navigate through the excitement of O-Week and look forward to the first lecture, please make sure that you have access to course materials across various learning platforms. We will be making use of mainly three learning platforms:
Note: If you can access Moodle and WebCMS for the course but can't access Ed, it might be that Ed is not able to figure out your correct student email from your zID. Please send an email to cs9444@cse.unsw.edu.au and we will add you with correct details. Please provide your zID in the email.
I hope all of you will ensure that you have access to these learning platforms before our first lecture.
Kind regards,
Sonit Singh
Hi Everyone,
Welcome to COMP9444 2024 Term 2 starting next week. We are excited to have you onboard for this exciting learning journey about neural networks and deep learning!
The course will be delivered partly in hybrid format. There will be lectures on Tuesday (2 pm-4 pm) and Wednesday (11 am-1 pm). Please check timetable (See the Menu panel on the left). Lectures will also be recorded, so if you can't attend lectures in-person, you can watch lecture videos afterwards.
Please check course outline (Click on the "Course Outline" link available in the Menu panel on the left) and go through course structure, assessments, and class contact details.
In terms of learning platforms, we will be using mainly the following:
On behalf of COMP9444 teaching team, which includes Dr. Alan Blair (co-lecturer for this course), Zhongsui Guo (course admin), and 20 amazing tutors, I wish you a great learning experience for this course!
Good luck!
Sonit Singh