Teaching

Postgraduate Teaching at Lancaster University

	Course Number of:	HOURS	STUD.
Spring 2007	FORECASTING 50% course lectures & lab (with R.Fildes & K.Holden)	16 h	25 st.
Spring 2007	MULTIVARIATE STATISTICS FOR DATA MINING 50% course lectures & lab (with C.Kirkbride)	10 h	20 st.
Fall 2006	INTRODUCTION TO OR & ITS CONTEXT Supervision of case studies (with G.Rand)	10 h	20 st.
Spring 2006	FORECASTING 50% course lectures & lab (with R.Fildes & K.Holden)	16 h	40 st.
Spring 2006	MULTIVARIATE STATISTICS FOR DATA MINING 50% course lectures & lab (with C.Kirkbride)	10 h	25 st.
Fall 2005	INTRODUCTION TO OR & ITS CONTEXT Supervision of case studies (with G.Rand)	10 h	20 st.
Spring 2005	MULTIVARIATE STATISTICS FOR DATA MINING 50% course lectures & lab (with D.Worthington) and development of new lecture material and exams	10 h	25 st.
Spring 2005	FORECASTING 50% course lectures & lab (with R.Fildes & K.Albertson) and development of new lecture material and exams	16 h	40 st.
Fall 2004	INTRODUCTION TO OR AND ITS CONTEXT Supervision of case studies (with G.Rand)	10 h	20 st.

Undergraduate Teaching at Lancaster University

Fall 2006	INTRODUCTION TO BUSINESS INFORMATION SYSTEMS 2 h 60 st. MSCi.203 lectures (with N.Hayes & M.Westcombe)
Fall 2006	DEMAND PLANNING & REVENUE MANAGEMENT 10 h 40 st. 50% couse lectures & lab (with J.Meissner)
Fall 2005	INTRODUCTION TO BUSINESS INFORMATION SYSTEMS 2 h 60 st. MSCi.203 lectures (with N.Hayes & M.Westcombe)
Fall 2004	INTRODUCTION TO BUSINESS INFORMATION SYSTEMS 2 h 125 st. MSCI.203 lectures (with N.Hayes & J.O’Mahoney) plus development and correction of 40 assignments (5000 words)
Fall 2004	STATISTICAL MODELLING FOR DECISION MAKING 10 h 30 st. MSCI.311 tutorial & lab support (with D.Worthington)

Postgraduate Teaching at Hamburg University

Winter 2003	SEMINAR IN INNOVATION-MANAGEMENT, Prof. Voß Teaching support & administration for 40 students, supervising 25 assignments (6000 words) and seminar presentations
Summer 2003	INFORMATION-MANAGEMENT, Prof. Voß Teaching support & administration for 80 students
Winter 2002	SEMINAR IN COMPUTER AIDED PLANNING SYSTEMS, Prof. Preßmar Teaching support & administration for 90 students, supervising 45 assignments (6000 words), presentations and exams Summer 2002 COMPUTER AIDED PLANNING SYSTEMS, Prof. Preßmar Teaching support & administration for 150 students
Winter 2001	SEMINAR IN DESIGN & DEVELOPMENT OF BUSINESS INFORMATION SYSTEMS, Prof. Preßmar, Teaching support & admin. for 90 students, supervising 45 assignments (6000 words), presentations and exams Summer 2001 DESIGN & DEVELOPMENT OF BUSINESS INFORMATION SYSTEMS, Prof. Preßmar, Teaching Support & administration for 150 students
Summer 2001	MBA FINAL EXAMS Design & pre-correction of 20 final diploma-exams in Business Information Systems for the MBA degree

Undergraduate Teaching at Hamburg University

2000 - 2001

INTRODUCTION TO INFORMATION SYSTEMS USING MS OFFICE
Undergraduate lectures of 11 compulsory courses (each full courses, 12 modules plus 12 labs, 35 contact hours each, total of 440 students) for undergraduate studies in business administration, course taught in team of four lecturers.

- Winter 1999 2 courses Intro to Information Systems, 80 students
- Summer 2000 3 courses Intro to Information Systems, 120 students
- Winter 2000 2 courses Intro to Information Systems, 80 students
- Summer 2001 2 courses Intro to Information Systems, 80 students
- Winter 2001 2 courses Intro to Information Systems, 80 students

Other Non-Academic Teaching

1995 - 1999

Ski-instructor, Italy (DSV certified Beginners to Advanced Levels) for German tour operator, seasonal part-time

Postgraduate Research Supervision

Summer 2007	MSC IN OPERATIONAL RESEARCH, STUDENT PROJECT & THESIS SUPERVISION, LANCASTER UNIVERSITY - Customer Relationship Management for Data Mining AXA Winterthur, Winterthur, Switzerland - Developing a Challenger Model for Credit Scoring Provident Financials, Leeds, UK - Forecasting and Inventory Management of Textile Sales SMD Textiles, Preston, UK - Evaluation of SAP APO-DP and neural networks for Forecasting fast moving consumer products, Beiersdorf, Hamburg, Germany BISlab, Hamburg, Germany - Strategic potential for an Academic Community Software System BISlab, Hamburg, Germany
Summer 2006	MSC IN OPERATIONAL RESEARCH, STUDENT PROJECT & THESIS SUPERVISION, LANCASTER UNIVERSITY - Evaluating Forecasting Support Systems Convatech, BMS, Chester, UK Summer 2005 MSC IN OPERATIONAL RESEARCH, STUDENT PROJECT & THESIS SUPERVISION, LANCASTER UNIVERSITY - Event based forecasting for distribution centre planning Tesco, Cheshunt, UK - Weather based forecasting of fresh products at retail outlets Tesco, Cheshunt, UK - Forecasting and Inventory Management for catalogue retailers Littlewoods Index , Liverpool, UK
01/2000 - 6/2001	9 MBA MASTER THESIS SUPERVISION, UNIVERSITY OF HAMBURG Proposal & supervision of 9 desk based master-theses (3-6 months) in various topics on SCM, forecasting, inventory management, decision support systems, neural networks and related topics.

Teaching Philosophy

I am a firm believer in active learning, and I try to facilitate a lively and interactive classroom. To me, teaching is less about lecturing to students, but relating theories, concepts, empirical material and my enthusiasm in engaging current problems in Management Science to students. In each of my classes, I emphasize critical thinking and explore real-world applications of the concepts and issues in theory as in hands-on computer labs using state-of-the-art information technology. I try to engage students with examples from my personal consultancy experience in predictive modelling and information systems, as well as through case studies from ongoing corporate research and recent student projects. This is also reflected in quantitative course work and written assignments.
Consequently, I do not see a rigid dividing line between research and teaching. Good teachers, who are actively researching at the cutting edge of recent scholarship, may enable students to see the dynamism of our work. Management Science is less a collection of facts, but rather a constantly evolving area of research that is alive with puzzles and new areas of inquiry. I welcome the opportunity to supervise independent student projects, and have encouraged students to participate in research through their coursework, e.g. the international data mining competition or the use of benchmark data from current forecasting competitions.
While I have gained confidence in teaching, I have been inspired by evaluations of my teaching quality by students, peer observation in classes and initial courses in a teaching development programme, which I hope to continue to further my knowledge of teaching skills and styles.