Christian Weber | Teachings
Lectures
- Software Engineering WS 2017/2018, WS 2018/2019, WS 2019/2020, WS 2020/2021
- Knowledge Management II SS 2017, SS 2018, SS 2019, SS 2020 (Data Analytics in CPPS Environments, Knowledge Visualization I/II)
- Seminar: Trends and Technologies in Knowledge Management WS 2017/18, SS 2018, WS 2018/19, SS 2019, WS 2019/20
- Project group "Digitalized care in the immunodeficiency clinic, patient empowerment with telemedicine and intelligent sensor technology" WS 2017/18 - WS 2019/20
- Project group "The digital medical practice - smart vital data monitoring: patient empowerment with telemedicine and smart sensor technology" WS 2020/21
- Project group "Smart maintenance: Predictive maintenance using artificial intelligence" WS 2020/2021
Supervised Theses
Running:
Finished:
Topic: User Input Analyse durch Implementierung eines Sequential Pattern Mining Konzeptes in
einem Enterprise-Resource-Planning System am Beispiel der BIKAR-Metalle GmbH
Type: Bachelor thesis
Tutor: Christian Weber; Examiner: Prof. Dr.-Ing. M. Fathi
Topic: An Implementation of Unsupervised Machine Learning for Determining Anomaly Ratings for
Sensor-based Data Obtained from Heterogeneous Machines in the Semiconductor Industry
Type: Master thesis
Tutor: Christian Weber; Examiner: Prof. Dr.-Ing. M. Fathi
Topic: Konzeption eines Fehlerdokumentationsprozesses von Analysen und Daten in der
Halbleiterfertigung in Anlehung an eine Prozessfehlermöglichkeits- und -einflussanalyse
(PFMEA)
Type: Master thesis
Tutor: Christian Weber; Examiner: Prof. Dr.-Ing. M. Fathi, Dr. Anke Schüll
Topic: An Application for Clustering Defect Patterns on Wafer Maps for the Semiconductor
Industry Using Unsupervised Neural Networks
Type: Master thesis
Tutor: Christian Weber; Examiner: Dr.-Ing. M. Fathi
Topic: Deep Street Sign Detection Using Deep Learning Networks and TensorFlow
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Classification of Street Signs Using Machine Learning Algorithms: Combining Weak and
Strong Learners Using Ada-Boost
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Integrated Mobile Platform for Agricultural Product Classification and Process
Recommendations using Deep Learning Networks
Type: Master thesis
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Konzipierung eines (semi-) Automatischen Datentransformationsprozesses zur Umsetzung
einer Big Data fähigen Analyseplatform
Type: Master thesis
Tutor: Christian Weber, Dirk Lieftucht; Examiner: M. Fathi, Anke Schüll
Topic: Applying Centrality Measures on Domain Networks Extracted from the DBpedia for Accessing
and Learning Educational Resources
Type: Master thesis
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Analysing with the help of a confusion matrix impact of Data Reduction
techniques
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Data Mining Techniques for the Semiconductor Industry - Overview and Evaluation
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Hybrid Educational Recommender System, Utilizing Student, Teacher and Domain Preferences
and Amazon Alexa Conversation Engine
Type: Master thesis
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Implementation of various imputation methods and the decision tree on the Breast Cancer
Dataset
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Turbofan Engine Remain Useful Life Prediction With Long Short Term Memory
Network
Type: Project work
Tutor: Christian Weber; Examiner: M. Fathi
Topic: Remotino: Ein Prototyping- und Debugging- Werkzeug zur Entwicklung eingebetteter
Systeme
Type: Bachelor thesis
Tutor: Christian Weber, Julian Dax, Johannes Zenkert; Examiner: Volkmar Pipek, M. Fathi
Topic: Fuzzy Based Intelligent Tutoring System
Type: Project work
Tutor: Christian Weber, Dr. Scott Harrison; Examiner: M. Fathi