Computer Science Project and Bachelor Thesis (2018)

Table of Contents


The formal prerequisite to enroll into the Project and Bachelor Thesis module is that students have passed at least two CS core modules.


Introduction 2017-09-11 (Monday)
Project topic/supervisor selection (campus track) 2017-09-18 (Monday)
Project topic/supervisor selection (world track) 2018-02-02 (Friday)
Presentations 2018-05-14 (Monday)
Presentations 2018-05-15 (Tuesday)
Bachelor thesis submission 2018-05-16 (Wednesday)


Doing research in computer science usually starts with a lot of reading and learning. In order to do research that is significant, it is crucial to pick a tractable topic and it is essential to understand the state of the art as well as any algorithms and tools that are relevant. While the details different depending on the area of computer science, reading about the state of the art is essential for all of them. To find relevant literature, it is good to be aware of systems such as:

  • IEEE Xplore (digital library provided by the IEEE)
  • ACM Digital Library (digital library provided by the ACM)
  • Scopus (commercial research publication indexing system)
  • dblp (open computer science publication indexing system)

The project phase is essentially a way into your specific bachelor thesis topic. During the project phase, you should pick up and deepen the necessary knowledge, you should develop a good understanding of the state of the art, and you should get familiar with any programs or tools or datasets that are essential for carrying out a little research project during the bachelor thesis course.

LaTeX is widely used as the typesetting system for research papers in computer science. Hence, we expect that project and thesis reports are written in LaTeX. Below are some LaTeX templates that you are expected to use for typesetting the project report and later the thesis. Please do not change or improve the format, it is usually far better to spend your brain cycles on the content instead of the format (and we really appreciate a common format).

Reading Material

Research Groups and Topics

  • Large-Scale Information Services (Peter Baumann)
  • Robotic (Andreas Birk)

    The prerequisite for carrying out the project and bachelor thesis module on a robotics topic are good coding skills, i.e., a passing grade of the programming labs of 2.0 or better. Having successfully taken the IMS choice module, especially the Introduction to IMS lecture, and/or the robotics lecture is recommended but not required - but good math knowledge/interest is needed. Group work (2-3 students) is allowed during the project phase. Topics will be related to underwater robotics, especially underwater perception (e.g., object recognition) and mapping. Good students are given opportunities to contribute to publications in high-ranking conferences and journals.

  • Machine Learning (Herbert Jaeger)

    Prerequisites for joining Herbert Jaeger's Machine Learning team for the semester project: passing the 2nd year IMS course "Machine Learning" with a grade at least as good as 3.33, OR passing the 1rst year math courses all with at least 1.66. A good first impression of the computational methods that will be used for this project can be gotten by checking out the "echo state network" intro reading materials collected at Group project work (2-3 students joining forces) is encouraged.

    Update: Supervision capacity of Herbert Jaeger is exhausted for Spring 2018, no more requests can be accomodated.

  • Computer Networks and Distributed Systems (Jürgen Schönwälder)

    The prerequisite for carrying out the project and bachelor thesis module on a topic related to computer networking and distributed systems is a passing grade at least as good as 3.33 in the courses Computer Networks and Operating Systems. Group work (2-3 students) is encouraged during the project phase. Topics will be related to software defined networks, to large-scale Internet measurements, or to the Internet of Things. Good students are given opportunities to contribute to publications.

  • Visualization and Human Computer Interaction (Michael Sedlmair)

    Topics will include (but are not limited to) the visualization of high-dimensional data, analyzing, interacting with, and visualizing machine learning models, as well as designing and running user experiments. Programming skills are necessary, data analysis and/or experimental skills are an asset.

    Michael Sedlmair <> is joining Jacobs University in Spring 2018; please contact him if you are interested to do a BSc project under his supervision.

Project Course

The project is the entry door to a subsequent bachelor thesis. The project course introduces to a specific area of research. After obtaining the necessary understanding of the chosen area of research, you select a topic for your bachelor thesis. An important part of the project will be to familiarize yourself with the state of the art in a certain area of computer science.

The project phase includes, among others (and obviously somewhat also depending on the particular topic): familiarization with the topic; elaborating background through literature work; detailed study of related work.

The project may lead to a project report. The project report needs to contain at least these elements (again, to be confirmed with your supervisor): motivation; overview of the state of the art, description of research questions; discussion of the relevance of the research questions ("how will the world be better once the research questions have been answered?"); a discussion of any experimental setups that may be necessary to answer research questions, possibly including a realistic time plan for addressing research questions.

Students must select the project topic and supervisor beginning of September (see the timeline above) if the project is done in the Fall semester and begining of January (see the timeline above) if the project is done in the Spring semester. The choosen topic and supervisor must be communicated by email to Jürgen Schönwälder <> so that we can track things.

Students must submit any project reports at a deadline defined by the supervisor.

Bachelor Thesis

Experience has shown that it is crucial to start work on the bachelor thesis topic as soon as possible. It may be very useful to use time during intersession, in particular if still a number of credits need to be earned during the last semester. Starting work on the bachelor thesis end of April clearly is too late to achieve good results and in particular to deal with any unforseen problems.

The bachelor thesis must be submitted via grader. The submission deadline is a hard deadline. Failure to submit the thesis in time will lead to a fail.

Project Students

No Student Topic Start Supervisor
1 Baumann Gomez, Anton   Fall Andreas Birk
2 Bhandari, Sabin Echo State Networks Fall Herbert Jaeger
3 Bhattacharjee, Aranya   Fall Andreas Birk
4 Dikici, Berk ONOS SDN Fall Jürgen Schönwälder
5 Getahun, Natnael Echo State Networks Fall Herbert Jaeger
6 Gjorgoski, David   Fall  
7 Karkee, Shikhat   Fall Herbert Jaeger
8 Khanal, Ashish Echo State Networks Fall Herbert Jaeger
9 Khanna, Jai Underwater Perception Fall Andreas Birk
10 Mateen, Tayyab   Fall Herbert Jaeger
11 Retevoi, Maria-Alexandra   Fall Andreas Birk
12 Sali, Kejsi   Fall Andreas Birk
13 Singh, Lalit   Fall Herbert Jaeger
14 Thapa, Bishwa ONOS SDN Fall Jürgen Schönwälder
15 Xhelili, Orgest   Fall Herbert Jaeger
16 Atanasov, Zapryan   Spring Michael Sedlmair
17 Barginda, Kayla Computation and Optimisation of Problems Involving Free Lie Algebra Spring Herbert Jaeger
18 Hasanbega, Kamila Automated Software Updates Spring Jürgen Schönwälder
19 Kumar, Sagar   Spring Peter Baumann
20 Lazaj, Kejsi   Spring Michael Sedlmair
21 Maiereanu, Alexandru   Spring Herbert Jaeger
22 Ngwarai, Samuel Automated Software Updates Spring Jürgen Schönwälder
23 Pan, Yu   Spring Herbert Jaeger
24 Rakipi, Frenci   Spring Michael Sedlmair
25 Raykov, Nikolay   Spring Michael Sedlmair
26 Ulugbek Uulu, Temirlan   Spring Michael Sedlmair
27 Velagaleti, Mahitha   Spring Marc-Thorsten Hütt / Herbert Jaeger
28 Zia, Taha   Spring Michael Sedlmair

Bachelor Thesis Students

No Student Topic Supervisor
1 Atanasov, Zapryan   Michael Sedlmair
2 Barginda, Kayla Computation and Optimisation of Problems Involving Free Lie Algebra Herbert Jaeger
3 Baumann Gomez, Anton   Michael Sedlmair
4 Bhandari, Sabin   Herbert Jaeger
5 Bhattacharjee, Aranya   Andreas Birk
6 Dikici, Berk   Jürgen Schönwälder
7 Getahun, Natnael   Herbert Jaeger
8 Hasanbega, Kamila   Jürgen Schönwälder
9 Karkee, Shikhat   Herbert Jaeger
10 Khanal, Ashish   Herbert Jaeger
11 Kumar, Sagar   Peter Baumann
12 Lazaj, Kejsi   Michael Sedlmair
13 Maiereanu, Alexandru   Herbert Jaeger
14 Mateen, Tayyab   Herbert Jaeger
15 Ngwarai, Samuel   Jürgen Schönwälder
16 Pan, Yu   Herbert Jaeger
17 Rakipi, Frenci   Michael Sedlmair
18 Raykov, Nikolay   Michael Sedlmair
19 Singh, Lalit   Herbert Jaeger
20 Thapa, Bishwa   Jürgen Schönwälder
21 Ulugbek Uulu, Temirlan   Michael Sedlmair
22 Velagaleti, Mahitha   Marc-Thorsten Hütt / Herbert Jaeger
23 Xhelili, Orgest   Herbert Jaeger
24 Zia, Taha   Michael Sedlmair

Bachelor Thesis Presentations

The bachelor thesis course includes a presentation (worth 10% of the overall grade). Faculty members attending the presentations will jointly determin the grades for the presentations.

Bachelor thesis presentations are 15 minutes + 5 minutes discussion. The schedule has 25 minutes for each presentation to allow for time to change laptops etc. In addition, we have scheduled breaks to recover our minds and to makeup any schedule quirks should they arise (we hope not).

Time slots are assigned on a first-come-first-served basis. To apply for a time slot, contact Jürgen Schönwälder and send him your preferred list of time slots, the name of your supervisor, and the title of your talk. Before submitting the list, make sure that the time slots fit the schedule of your supervisor.

Monday, 2018-05-14

No Time Room Student Supervisor Topic
1 09:45        
2 10:10        
3 10:35        
  10:30       BREAK
4 11:15        
5 11:40        
6 12:05        
  12:30       BREAK
7 14:15        
8 14:40        
9 15:05        
  15:30       BREAK
10 15:45        
11 16:10        
12 16:35        

Tuesday, 2018-05-15

No Time Room Student Supervisor Topic
13 09:45        
14 10:10        
15 10:35        
  10:30       BREAK
16 11:15        
17 11:40        
18 12:05        
  12:30       BREAK
19 14:15        
20 14:40        
21 15:05        
  15:30       BREAK
22 15:45        
23 16:10        
24 16:35        

Author: Jürgen Schönwälder

Created: 2018-02-20 Tue 12:56

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