- 1 Announcements
- 2 Course overview
- 3 Past Projects
- 3.2 Winter Term 2016/17 - Predict'em All!
- 3.3 Summer Term 2017 - The Music Connection Machine
- 3.4 Winter Term 2017/18 - MOVE-II
- 3.5 Summer Term 2018 - NLPlot
- 3.6 Winter term 2018/19 - Software Development Life Cycle Health Predictor
- 4 Important Dates
- 5 Pre Requisites
- 6 Preparation
- 7 Presentation Themes
- 8 Presentation Schedule
- 9 Recommended literature
- pre-meeting will take place on Tuesday, July 16 at 02:00pm in room 01.10.011
The students will be working in a highly agile environment, meaning that a collaborative work (communication!!) among all students will be essential for the successful completion of the project. Any results thus provided during the coding period of the seminar will need to be communicated and made available to peer coders asap!
Registration: Prior to registration on TUM Matching System, we would like to get to know you! Please send us an email to firstname.lastname@example.org and tell us about yourself a bit: your current current degree, program (e.g. informatics) and explain why you want to join the seminar, what prior course work you have. Also please name a TUM faculty member as a reference. Without this information we won't be able to secure a spot for you at the seminar.
Tutors: Dr. Guy Yachdav
Winter Term 2016/17 - Predict'em All!
Project Description: On July 6th 2016, Niantic released the augmented reality game titled Pokemon Go. The game took the world by storm and is now installed on 5% of smartphones in the US. In the game, players are using their smartphones to locate Pokemons - cute and cuddly virtual creatures that after being captured and nurtured turn into fearless fighters in the name of players' ambition to level up. Locating and capturing Pokemons have quickly become a phenomenon - hoards of people have been sighted in New York as they chase imaginary creatures and try to capture them in Central Park. Pokemons appear on certain places in the real world and wait at those coordinates for a period of time. During the winter semester students came up with an app that predicts a Pokemon’s TLN (Time, Location and Name - that is where Pokemons will appear, at what date and time, and which Pokemon will it be). The app was featured online and managed to predict the appearance of some of the most sought out Pokmeons.
|Mentors:, Guy Yachdav, Christian Dallago, Students: Samit Vaidya, Oleksandr Fedotov, Gani Qinami, Paul Gualotuna, Timo Ludwig, Wolfgang Hobmaier, Elma Gazetic, Faris Cakaric, Karen Reyna, Mustafa Kaptan, Georgi Aylov, Benjamin Strobel, Jochen Hartl, Swathi S Sunder, Vivek Sethia, Jonas Heintzenberg, Gilles Tanson, Fabian Buske, Marcel Wagenländer, Annette Köhler, Siamion Karcheuski, Hannes Dorfmann, Alexander Lill, Aurel Roci, Matthias Baur, Timur Khodzhaev, Philippe Buschmann, Josef Brandl|
Summer Term 2017 - The Music Connection Machine
Project Description: Information about classical music is scattered all over the internet in the form of scholarly articles, news stories, blogs, wikis, forums and many other venues. Our goal (in collaboration with Peachnote) is to bring this knowledge into one place and make it easily accessible. We summarize the information about composers, musicians and music works as a set of connections - what were the musicians saying about each other and the music works, and what anybody else has written about them online. Moreover, whenever we find temporal or location-based information, we can present this information in geographic and historic context. The result is a tapestry of information that sums up the knowledge available on the internet about the enchanting world of classical music presented in a fun and interactive way.
Mentors:, Guy Yachdav, Vlaidmir Viro, Christian Dallago, Kordian Bruck, Phillip Fent Students: Lukas Navickas, Angelinrashmi Antonyrajan, Tim Henkelmann, Shilpa Gore, Nikita Basargin, Anshul Sharma, Lukas Streit, Felix Schorer, Krishen Kandwal, Hendrik Leppelsack, René Birkeland Birkeland, Anshul Jindal, Daniel Schubert, Sandro Bauer, Lin Ji, Simon Zachau, Martin Mihaylov, Lyubomir Stoykov, Chaoran Chen, Jörn von Henning, Emir Demirdag, Panagiota Revithi, Markus Sosnowski, Yanko Sabev
Winter Term 2017/18 - MOVE-II
Summer Term 2018 - NLPlot
Winter term 2018/19 - Software Development Life Cycle Health Predictor
- Pre meeting: Tuesday, July 16 at 02:00pm in room 01.10.011 slides
- Kick off meeting: September 13th, 2018. 10:00-11:30 Seminarraum 01.09.014
- Coding period begins: TBD
- Feature freeze: TBD
- Beta release: TBD
- Release (hopefully): TBD
- Report Due: TBD
- Presentations week (in class, participation mandatory):
Students are expected to have:
- Knowledge in at least one functional OR Object Oriented Programming language
- Basic knowledge of relational databases and NoSQL databases
- Interest working with big data
- Interest in challenging themselves to do something totally cool
- Participation in all meetings throughout the presentation week is mandatory. We would only consider one absence that is justified, documented and approved well in advance.
Checklist to pass the seminar
- Register on TUM Matching System for this seminar
- Each group will be assigned one topic and one project to present in the presentation week. Please see the guidelines for topic and project presentations below.
- The slides for your topic presentation and the preliminary visualization of your project results are due for comments 1 week before the presentation date. Send your drafts to presentations to email@example.com.
- Make sure to read these Hints and Rules for great presentations
- Submit a 5 pages long report (one per group) describing solutions to your topic (4 pages) and the project (1 page). Due: 2 weeks after the seminar.
- RECOMMENDED VIDEO http://www.paulirish.com/2010/10-things-i-learned-from-the-jquery-source/