## News * 1/4. Course [introduction lecture notes are here](slides/TDDD27_2025_intro.pdf) Video recordings from the lecture: [Part 1:](https://liuonline.sharepoint.com/:v:/s/Team_Eriks_Exjobbare-EriksKanal/EcFDh8ak6C9NnWO_EakCrGQB1tkvIANSpWmRJSTmTi5xBQ?e=w1ihVf&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D) [Part 2:](https://liuonline-my.sharepoint.com/:v:/g/personal/eribe22_liu_se/EQN5mb61C35LjtEF7Du_DvEBUZ5VObhr6lvAXELJvOUjjg?e=B9pwbN&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D) [Part 3:](https://liuonline-my.sharepoint.com/:v:/g/personal/eribe22_liu_se/Ee0ihZyBv0xIkVTdd0aCMGIBAlGsvpknM7YaBG5zOcqHGA?e=ulpbJq&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D) [Part 4:](https://liuonline.sharepoint.com/:v:/s/Team_Eriks_Exjobbare-EriksKanal/EbyKHbZ-YH1Js2UfFQQ9BRIBFmiFCVoLOzGZ-mr7pW0rWg?e=vbtwlL&nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D) * 1/4 Course fixed for 2025, no major changes from 2024 #### Have Questions? Click "Getting help" in the menu to the left. ## TDDD27 VT2 2025 progress steps. * Find partner, decide to work alone. * [Register on webreg](https://www.ida.liu.se/webreg-beta/TDDD27-2025-1/PRA%201,%20The%20Course) for grading * Create and a **gitlab.liu.se** repo for the project. Use the prefix TDDD27_2025. * Add eribe22, sahsa74 and andla63 **as Reporters, with Expiration date 2026-12-31**. * Register your gitlab.liu.se-repo in this [form](https://forms.gle/H92ebx5GKCZ3hLAE9). Submit the https:// link to your repo. **This is super important, this is how we organize the work** * Search [youtube for TDDD27](https://www.youtube.com/results?search_query=TDDD27) for screencasts for inspiration. Remember that previous years may not be entirelly representative of this years goals since things change and some things gets easier. * Determine frameworks for your project (see [Tech Requirements](project/index.en.shtml)). * Determine your project idea. * Add a project specification **in the Readme.md** of your gitlab.liu.se repo by the deadline. * Work hard and smart ... start early becasue it takes time to learn the frameworks. * Focus in the *front-end* first. They are genreally much more complicated. * Participate in half-time status report seminars. [Book time in webreg]. * Submit your individual oral screencast with code demonstration. Here you have 10-12 minutes to show your project and to demonstrate that you have achived the learning goals of the course and to what degree. Put the links on your gitlab.liu.se repo. * Also record a project screencast showing the project (as a team). Put the links on your gitlab.liu.se repo. * Make the final commit on the project. ## Deadlines * Register on webreg *April 11* * Create Project on gitlab and register in form *April 11* * Functional and technological specification on repo in readme.md. *April 11* * Project status seminar. May 6, 7, 13, 14 *(book on webreg)* * Individual oral code screencast. *June 8* (screencast link on gitrepo) * Project screencast. *June 8* (screencast link on gitrepo) * Final source code upload. *June 8* * Late submissions after summer: email examiner on the *22:th of August* that you have everything on your repo and provide also the repo URL. ---- ## About the course This course has a focus on state-of-the art large-scale web development. It's an A-level project course with focus on deep understanding of technology in the web area. A particular focus is placed on modern and advanced client-side framworks. Fundamental understanding of web-programming is assumed, as is having a high level of general programming skill. Projects are performed by individuals or by teams of two/three. We examine knowledge, not products, and use the oral examination, screencasts and gitlab code repos code and commits for examination. We read code and we want well-designed code, relevant commit-comments and valuable version control messages ... but not documentation. ## Changes from 2024 - no real changes * Project volume still important * Projects with many details, worked through designs still important ... boiler-plate projects will still not pass the course (see [Tech Requirements](project/index.en.shtml)) ## Gitlab.liu.se only Code must be version managed on **gitlab.liu.se**. Full version history and all branches should be on gitlab.liu.se. *A big push of code at the end of the course is suspicious*. Furthermore, use **freequent commiting and write relevant commit comments**. We want to see all experimentation branches and all commits, not just main. A vivid, frequent commits, many branched with merged main git-repo with a lot of details about what happens. The course staffa are all active and senior web developers and we know it gets messy below the surface. ## AI in the course. LLMs as a learning tool and producing boiler-plate code is ok i TDDD27, just like working with stackoverflow, copy-pasting code from tutorials, picking stuff from MIT-projects on GITHUB etc.... all other engeneering techniques. Make use of AI to learn faster, but make sure to learning. *Using AI, but prentending its your work is cheating.* As a concequence of LLMs, your projects need to be bigger, more unique, and have more details to be approved since the world is now diffrent than before 2024. AI as a component in your project is both good ... but sometimes also bad. Its easy to feel that you have a great system beacsue your generative AI model creates very dynamic work. AI models give no value technichally to the proejct, its like a database, something you use outside the web tech stack. Traning AI models is also not part of this course, such work can contribute to your project but not be a major part of the work you get credits for. ### Evaliute evaluation of course * 2025: overal grade 4.00 * 2024: overal grade 3.50 * 2023: overal grade 3.95 * 2022: overal grade 4.06 (covid year) * 2021: overal grade 2.93 (covid year) * 2020: overal grade 4.27 * 2019: overal grade 4.47