Labs
Skip navigation Introduction to Data Management, Analysis and Security School of Computing Search query Search ANU web, staff & maps Search current site content Search Menu Search query Search COMP2420/COMP6420 Assessment Labs Lectures Resources Search ANU web, staff & maps Search current site content COMP2420/COMP6420 Assessment Labs Lectures Resources menu Search query Search Search COMP2420/COMP6420 Search query Search Labs Lab 1: Python 101 Lab 2: Introduction to NumPy and Pandas Lab 3: Visualisation & Hypothesis Testing Lab 4: Data Analysis: Linear Regression & Prediction Lab 5: Data Analysis: Classification Lab 6: Decision Trees & Clustering Labs Installing and running Jupyter Lab Anaconda Installation - Linux Anaconda Installation - macOS Anaconda Installation - Windows 10 Related sites Wattle Gitlab Streams Piazza You are here » Labs *Lab registration is through Streams. Most of the labs will be run face-to-face, based on demand and the availability of labs and tutors. Some labs will be run online. Please note that you will need to bring your own device to the on-campus labs as the rooms are tutorial-style rooms Lab registration will be enabled at 3:30 PM on Friday, Feb 18, the last Friday before teaching starts.* This is because labs start in week 1 and the first labs will take place before the first lecture. However, do note that the labs in week 1 are for students who have no background in Python or Git. For those that are familiar with Python programming and the use of Git, they can start by attending labs in week 2. IMPORTANT UPDATE REGARDING LABS (as of 14/03/2022): For logistics and health safety reasons, we have decided to move all labs COMP2420/6420 online. Thank you for your understanding and patience. Our priority is the safety of our tutors and students as well as supporting your learning journey. Self-enrolment in the tutorials have also been disabled after all legitimate requests to swap lab times have been actioned. Please note that if you now want to swap labs, you need to have a genuine and legitimate reasons and provide relevant evidence to the course convenor. Updated Lab allocations (updated on 14/03/2022): ID Day Time Location FAIS ID Tutor(s) 1 Monday 8AM to 11AM Virtual vl-mon08-11 Cheng, Kanav 2 Monday 9AM to 12PM Virtual vl-mon09-12a Li’An, Mindika 3 Monday 9AM to 12PM Virtual vl-mon09-12b Taylor, +1 TBA 4 Monday 3PM to 6PM Virtual vl-mon15-18 Chenyang, Qingzheng 5 Tuesday 9AM to 12PM Virtual vl-tue09-12 Cheng, Mindika 6a Tuesday 2PM to 5PM Virtual vl-tue14-17a Abhaas, Qingzheng 6b Tuesday 2PM to 5PM Virtual vl-tue14-17b Cheng, Chathura 7 Tuesday 3PM to 6PM Virtual vl-tue15-18 Shashank, Li’An 8 Wednesday 10AM to 1PM Virtual vl-wed10-13 Mason, Ashley 9 Wednesday 11AM to 2PM Virtual vl-wed11-14 Tommy, Cheng and Kanav 10 Thursday 10AM to 1PM Virtual vl-thu10-13 Kanav, Qingzheng 11 Thursday 4PM to 7PM Virtual vl-thu16-19a Shashank, Jiyang 12 Thursday 4PM to 7PM Virtual vl-thu16-19b Chenyang, Taylor 13 Friday 11AM to 2PM Virtual vl-fri11-14a Debashish, Tommy 14 Friday 11AM to 2PM Virtual vl-fri11-14b Shashank, Asiri 15 Friday 2PM to 5PM Virtual vl-fri14-17 Asiri, Jiyang The contact details of each tutor can be found below and more details about your tutors will be on the Wattle page. First name Surname Email Cheng Xue cheng.xue@anu.edu.au Abhaas Goyal abhaas.goyal@anu.edu.au Alexei Khorev alexei.khorev@anu.edu.au Ashley Tang ashley.tang@anu.edu.au Asiri Wijesinghe asiri.wijesinghe@anu.edu.au Chathura Gamage chathura.gamage@anu.edu.au Debashish Chakraborty debashish.chakraborty@anu.edu.au Jiyang Zheng jiyang.zheng@anu.edu.au Lian Chen li’an.chen@anu.edu.au Mason Dong mason.dong@anu.edu.au Qingzheng Xu qingzheng.xu@anu.edu.au Tommy Liu tommy.liu@anu.edu.au V (Vijey) Vijendran v.vijendran@anu.edu.au Shashank Gummuluru u7144557@anu.edu.au Taylor Qin taylor.qin2@anu.edu.au Chenyang Pan chenyang.pan@anu.edu.au Kanav Thareja kanav.thareja@anu.edu.au Mindika Premachandra mindika.premachandra@anu.edu.au If you are attending an on-campus lab, please make sure to follow covid-safe guidelines. Please be mindful of other students and tutors in your lab and stay home if you are unwell. You can inform your tutor if you cannot attend a lab and make arrangements to attend an online lab instead in that week. Each lab will have some home work tasks. Make sure that you do these tasks before you come to the lab. The knowledge required to carry out the tasks would have been covered in the lectures prior to the lab. Each lab will carry a participation mark out of 0.5 mark. The best 8 labs will be summed to give a mark out of a maximum of 4%. The online labs will be run using Microsoft Teams. Teams is available for use for free through ANU, so please login with your ANU UID and Password. You will be added to the appropriate Teams group after registration. Please don’t forget to use Piazza to ask questions so that you can also engage with the tutors and students both on campus and online. We are working to give you access to Piazza. For the labtest in week 4, you will be randomly given some questions to do in the lab within a specified time. The details will be made available later. All of the lab resources can be found at the following master repo: https://gitlab.cecs.anu.edu.au/comp2420/2022/comp2420-2022-labs There will be a directory here for each lab, named Lab01, Lab02, etc. You fill find the jupyter notebook and associated files for the labs in the corresponding directory. You will first need to fork the master repo. You should then clone this forked repository to create a local copy and work on this local copy. Push your changes to the fork regularly. We may look at your work on each lab to see how you are going. The master repo may be updated just prior to the start of each lab week. To update your fork to reflect changes to the master repository, you can use these instructions. 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