Chair Quality Management and Manufacturing Metrology Prof. Dr.-Ing. Albert Weckenmann

1. Chair Quality Management and Manufacturing Metrology Prof. Dr.-Ing. Albert Weckenmann University Erlangen-Nuremberg Quality Assurance at the Technical FacultyUniversity Erlangen-Nuremberg Dipl.-Wirtsch.-Ing. K. Zwolinski 1 Chair QFM 2 Schedule for the Evaluation 3 Technical Specification 4 Exemplary Results 5 Conclusion QUASYS, Dubrovnik, CroatiaOctober 9-12, 2003

2. Chair Quality Management and Manufacturing Metrology University Erlangen-NurembergMain Research Focus: Coordinate Metrology Optical Metrology Micro and Nanometrology Quality Management Environmental Management e.Learning Precision Measurment Center: accredited DKD-Calibration Laboratory reduction of influences during the measurement process high-capacity and high-precision air conditioning (20˚C±0,1K) innovative and high-precision measurement instruments QFM-Chair Quality Management and Manufacturing Metrology Prof.Dr.-Ing. Albert Weckenmann University Erlangen-Nuremberg

3. Schedule for the Evaluation of the Technical Faculty at the University Erlangen-Nuremberg time period study year 1 study year 2 study year 3 number of courses WT ST WT ST WT ST WT content 99/00 00 00/01 01 01/02 02 02/03 fundamental courses (lectures, 110 L + E 18 P exercises, practical courses) main courses (lectures, exercises, 120 L + E20 P practical courses, special courses) 5 D, 6 S main courses (study/diploma work, + seminars seminars) new Bachelor and Master study 45 L + E programs evaluation report, Abbreviations: L lectures E exercises P practical courses D diploma work S Study work ST summer term WT winter term

4. Evaluation Report – Guidelines of the Bavarian State Ministry of Sciences, Research and the Arts • Minimum Content of the Evaluation Report • specification concerning the available courses of the department/faculty • statistical information (existing statistics can be referenced) • information on: -- correspondence between available courses and study and examination regulations • -- adherence to regular study time • -- special bottlenecks (as existing) • information on the care of the students • To be mentioned • information on the evaluation of available courses in the individual courses of study • Focus of Evaluation Reports can be • special focus on the individual courses of study and their realisation • possibilities of a part-time study • analysis of special student histories (changing courses of study, university drop-outs) • general conditions during university education (library, lecture halls) • advertisements and special selection procedures for students in certain courses of study • results of midterms, problems (i.e. high failure rates in certain courses of study) • continuous development of study and examination regulations and design of examinations • activities or new ideas for improving education (especially in the respective courses of study) Reference: Execution notes on the execution of Art. 39a paragraph 3 Bavarian Act of 19.05.1999 concerning universities (Letter from the Bavarian State Ministry of Sciences, Research and the Arts)

5. Approach and Realisation of the Evaluationof the Technical Faculty at the University Erlangen-Nuremberg • Determination of all fundamental courses - Chemical Engineering (CIW) • - Electrical Engineering (EEI) • - Computer Science (INF) • - Mechanical Engineering (MB) • - Material Science (WW) (- Industrial engineering, WING) • (- Mechatronics, MECH) • (- Bio-engineering (BIW) • Comparison with curriculum and verification of completeness • Design of questionnaires • Determine the amount of questionnaires to be printed based on the amount of students enrolled in the first and third term • Print and distribution of questionnaires to all lecturers • Monitor the return of questionnaires • Number the questionnaires that have been returned and filled out • Automatic evaluation of standard questions • Manual evaluation of open questions • Integration of results into study evaluation report

6. Technical Equipment Required for a Computer-Aided Analysis

7. Results II: Rating of Lectures, Exercises and Practical Courses in the Winter Term 1999/2000 (Frequency)

8. Results III: Rating of Lectures, Exercises and Practical Courses in the Winter Term 1999/2000 (Cumulative Frequency)

9. Results I: Rating of 1st Study Term (Median and Standard Deviation) MW: Mean value LV: course

10. Conclusion • Further optimisation possibilities for questionnaires: • Simplification of questionnaires • Shortening of questionnaires • Conversion of handwritten answers into standardized boxes (i. e. age) • Reduction of analysis effort by: • reducing the number of open questions • having the lecturers analyse the open questions for their courses themselves. Central analysis and summary of the open questions is not necessary since the open questions contain relevant information mainly for the lecturer • In the future, Internet-based evaluation of courses can also be implemented. This would • influence the following steps: • Elimination of identification of all courses to be evaluated • Elimination of printing and disribution of questionnaires • Simplification of analysis process since all the questionnaires are automatically converted into data-files. • Reports can be generated automatically.