General information

Course type AMUPIE
Module title Applied Glacial Geomorphology
Language English
Module lecturer dr Izabela Szuman-Kalita, dr Jakub Kalita
Lecturer's email
Lecturer position assistant professor
Faculty Faculty of Geographical and Geological Sciences
Semester 2024/2025 (summer)
Duration 50


50 h in total:

- fieldtrip - up to 20 h

- discussion lectures and GIS classes ca 30 h

Module aim (aims)

This is a project-based course that may include: GIS analysis, numerical modelling, field investigartions, interpretation of remotely sensed imagery.

Learning outcomes include academic and practical skill goals. The module aim are:

1. To understand the fundamentals of ice sheets and glaciers activity and their controls on pattern of landscape.

2. To interpret the past processes and landscape history based on record preserved in landforms and sediments.

3. To use numerical models, Excel, QGIS in the analysis of geomorphological science problems.

4. To make interpretations of aerial and satelite images, and DEM.

Pre-requisites in terms of knowledge, skills and social competences (where relevant)

Basic knowledge in glacial geomorphology, QGIS or ArcGIS


This is a projects-based course and may include GIS analysis, numerical modelling, field investigartions, interpretation of remotely sensed imagery. There are no exams. The course is built around glacial geomorphology and include two smaller projects.

1. The first project involves preparation of scientific reports. The guidelines for best practices in preparation of scientyfic reports will be provided.

2. The second project involves calculations and/or data analysis and preparation of short-answer paragraph discussions of a set of posed questions.

* Both projects are preceded by fieldtrip. 

In this course we will work in cooperative groups. During the classes students will be asked to discuss lecture topics in small groups and share their ideas with the class.

Each student must prepare independently written reports with figures and calculations. Students will be graded both on the accuracy of the data analysis, calculations and on the quality of the written texts.

Reading list

Weekly reading assignements of journal articles (details will be provided).