General

• Exercises will not start until April 17th.
• Because of the known problems concerning MATLAB licences on existing desktop computers, it is recommended to bring your own laptop to the exercises if possible.
• Exercise sheets will be updated as the lecture progresses. It is also recommended to download and prepare the exercises before each exercise.

Contents

• For materials like "Introduction to Matlab" please see the course "Introduction to Comuter Science I", there you will find a command overview for Matlab and previous teaching materials which will be valid for either Introduction to Computer Science I and II.
   

  • Capture	Theme	Link
    III	MATLAB Continuation
    III.1	Internet and Tools	Exercise1_NEW (Old Version had issues)
    III.2	Files/Filetypes	Exercise2.zip,Exercise2_Beispielfunktionen.zip
    III.3	Visualization	Exercise3.zip
    III.4	Visualization of 3D Data	Exercise4.zip
    III.5	Optimization	Exercise5.pdf

   

Practice Manager for the summer term 2012 

• Behrooz, Samy
• Farkas,Timm
• Kashi, Ramin
• Schulte, Jonathan
• Meier, Philipp

• 1. Please prepare your own project topic for the first exercise (16.04)
• 2. Please bring your own laptop (and smart-phone) to the exercises
• 3. Please install the newest version of Android SDK on your laptop http://developer.android.com/sdk/index.html

• 1. Since the Summer Term 2013 a Registration for the Course in the LSF is obligatory.
• 2. Exercises are held every two weeks (according to the schedule given in PDF).
• 3. Presence on classes is mandatory.
• 4. Each Student is allowed one unexcused absence during the semester. Each subsequent absence should be confirmed by a sick leave.
• 5. For each class the Student should present the progress of the work.
• 6. On the last class, Students should submit the results of their work (5-10 min presentation).
• 7. Students are required to work independently in the classroom.
• 8. Ready source code along with a brief specification in English (1-2 typed pages) should be sent to the tutor up to a week after the last exercise.
• 9. Evaluation of the course is an arithmetic mean of the ratings for the presentation and the source code (with the specification).

3 Materials

• SVM data classification: file
• Features extraction: file
• Classifiers in Matlab: file

Contents:

In this thesis, a classication problem will be researched. The LIBS-Technology, which is the source of the spectra, is well established in the industry, but there is little information about the classication of these spectra. The goals is the sorting of aluminum alloys in an industrial environment. To solve this problem standard methods, just as nearest-neigbor and svm classication, as well as new methods will be explored.

Individual mobility is the vital basis for our society. For the majority of people it is a sign of freedom, flexibility and quality of life. Especially the low capacity of high-voltage battery powered vehicles limits this possibility. This bachelor thesis aims to get the optimal energy consumption of an electric vehicle through design of experiments. The simulation model is based on the new European driving cycle (NEDC). Before simulations could be done in the MATLAB / Simulink program, an existing vehicle model had to be modified for further consideration. In this optimization process, four parameters dependent on energy consumption were selected to be optimized. With the program PROcal (engine calibration tool developed by FEV GmbH) test plans were generated for the simulation. These plans were based on design of experiments. After the simulations had been completed, the simulated values were imported for analysis and evaluation into PROcal. Acceleration and energy consumption were given priority in the PROcal evaluation. Finally, after the optimization process scatter plots were generated using the Monte Carlo method to visualize the achieved result.