Course Schedule
Veranstaltungen von Sarah Haq
Lehrveranstaltungen
Introduction to 3D Animation (Seminar)
Dozent/in: Sarah Haq
Termin:
14-täglich | Donnerstag | 14:00 - 17:30 | 21.10.2024 - 31.01.2025 | HMS D22
Inhalt: Welcome to the "Introduction to 3D Animation" course! This course is an experimental course designed for beginners who are eager to dive into the world of 3D modelling and animation. You'll learn the fundamentals of Blender, including how to create, manipulate, and render 3D objects.
Tech Basics II - Stream B (lecture) (Vorlesung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Dienstag | 14:00 - 15:30 | 14.10.2024 - 31.01.2025 | HMS 139
Inhalt: This second part of the Technological Basics course will provide the essential knowledge for building your self-designed application by the end of the course. You will get to know various advanced Python frameworks, enabling you to build complex web applications, graphical user interfaces, and integrate multimedia. The underpinning theoretical concepts will be taught along the way.
Tech Basics II - Stream A (exercise) (Übung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Dienstag | 11:30 - 13:15 | 14.10.2024 - 31.01.2025 | HMS 139
Tech Basics II - Stream B (exercise) (Übung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Dienstag | 15:30 - 17:30 | 14.10.2024 - 31.01.2025 | HMS 139
Tech Basics II - Stream A (lecture) (Vorlesung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Dienstag | 09:45 - 11:30 | 14.10.2024 - 31.01.2025 | HMS 139
Inhalt: This second part of the Technological Basics course will provide the essential knowledge for building your self-designed application by the end of the course. You will get to know various advanced Python frameworks, enabling you to build complex web applications, graphical user interfaces, and integrate multimedia. The underpinning theoretical concepts will be taught along the way.
DATAx: Data analysis with Python (27) (Übung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Montag | 14:00 - 14:55 | 14.10.2024 - 31.01.2025 | C HS 5
Inhalt: This course provides an introduction to programming and data analysis with Python. It is explicitly tailored for students with no prior knowledge or experience in programming. In the course, students learn (i) the essential steps for performing data analysis with Python, (ii) basic programming concepts such as variables, conditions, loops, and functions, and (iii) strategies for solving simple problems using algorithmic thinking. The course is organized as an exercise and follows a blended learning approach. It combines learning data analysis and programming skills in online exercises with self-study using Jupyter Notebooks. In addition, students are supported by experienced students from higher semesters (Teaching Assistants). Regular assignments encourage students to strive and gain hands-on experience in programming and data analysis, as well as to apply the acquired knowledge to their field of study. At the end of the semester, students will work in their study group on a data-driven project where they take on different roles and learn together to extract and present insights from real data.
- Lehren und Lernen - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Leuphana Bachelor - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Sozialpädagogik - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Wirtschaftspädagogik - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
DATAx: Data analysis with Python (28) (Übung)
Dozent/in: Sarah Haq
Termin:
wöchentlich | Montag | 15:00 - 15:55 | 14.10.2024 - 31.01.2025 | C HS 5
Inhalt: This course provides an introduction to programming and data analysis with Python. It is explicitly tailored for students with no prior knowledge or experience in programming. In the course, students learn (i) the essential steps for performing data analysis with Python, (ii) basic programming concepts such as variables, conditions, loops, and functions, and (iii) strategies for solving simple problems using algorithmic thinking. The course is organized as an exercise and follows a blended learning approach. It combines learning data analysis and programming skills in online exercises with self-study using Jupyter Notebooks. In addition, students are supported by experienced students from higher semesters (Teaching Assistants). Regular assignments encourage students to strive and gain hands-on experience in programming and data analysis, as well as to apply the acquired knowledge to their field of study. At the end of the semester, students will work in their study group on a data-driven project where they take on different roles and learn together to extract and present insights from real data.
- Lehren und Lernen - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Leuphana Bachelor - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Sozialpädagogik - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln
- Wirtschaftspädagogik - Leuphana Semester - Wissenschaft transformiert: verantwortliches Handeln